characterization and comparison of poorly known moth...
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1 Characterization and comparison of poorly known moth communities through DNA
2 barcoding in two Afrotropical environments in Gabon
3
4 Sylvain Delabye1,2*, Rodolphe Rougerie3*~, Sandrine Bayendi4, Myrianne Andeime-Eyene4,
5 Evgeny V. Zakharov5, Jeremy R. deWaard5, Paul D.N. Hebert5, Roger Kamgang6~, Philippe Le
6 Gall6~, Carlos Lopez–Vaamonde7~, Jacques-François Mavoungou8,9, Ghislain Moussavou8~,
7 Nicolas Moulin10~, Richard Oslisly11,12~, Nil Rahola13~, David Sebag14~, Thibaud Decaëns15$~
8 * Contributed equally to the paper
9 $ Corresponding author
10 ~ Members of the ECOTROP team. Remaining members of this team, and their affiliations, is
11 given in the Acknowledgements section.
12 Addresses:
13 1 Faculty of Science, University of South Bohemia in České Budějovice, Branišovská 1760,
14 37005, České Budějovice, Czech Republic
15 2 Biology Center, Institute of Entomology, The Czech Academy of Science, Branišovská 31,
16 37005, České Budějovice, Czech Republic
17 3 Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum national d'Histoire
18 naturelle, CNRS, Sorbonne Université, EPHE, 57 rue Cuvier, CP 50, 75005 Paris, France.
19 4 Institut de Recherches Agronomique et Forestière (IRAF–CENAREST), Libreville, Gabon
20 5 Centre for Biodiversity Genomics, Biodiversity Institute of Ontario, University of Guelph,
21 Guelph, ON, Canada N1G 2W1
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22 6 Laboratoire Evolution, Génomes, Comportement, Ecologie (EGCE UMR 247, IRD–CNRS–
23 Université Paris-Sud), Avenue de la Terrasse, Bâtiment 13, Boite Postale 1, 91198 Gif sur
24 Yvette, France
25 7 Unité de Zoologie Forestière (URZF UR 633, INRA-Orléans), 2163 Avenue de la Pomme de
26 Pin, CS 40001 Ardon, 45075 Orléans Cedex 2, France
27 8 Institut de Recherches en Ecologie Tropicale (IRET–CENAREST), Libreville, Gabon
28 9 Département de Biologie, Faculté des Sciences, Université des Sciences et Techniques de
29 Masuku, B.P 943, Franceville, Gabon
30 10 Nicolas Moulin Entomologiste, 82 route de l’Ecole, 76680 Montérolier, France
31 11 Agence Nationale des Parcs Nationaux (ANPN), BP 20379, Libreville, Gabon
32 12 Laboratoire Patrimoines Locaux et Gouvernance (PALOC) UMR 208, IRD-MNHN, 57 rue
33 Cuvier - Case Postale 26, 75231 Paris cedex 05, France
34 13 International Centre for Medical Research (CIRMF), Franceville, Gabon
35 14 Normandie Université, UNIROUEN, UNICAEN, CNRS, M2C UMR 6143, Place Emile
36 Blondel - Bâtiment IRESE A, 76821 Mont Saint Aignan Cedex, France
37 15 Centre d'Ecologie Fonctionnelle et Evolutive (CEFE UMR 5175, CNRS–Université de
38 Montpellier–Université Paul-Valéry Montpellier–EPHE), 1919 Route de Mende, F-34293
39 Montpellier, France; [email protected]; +33 (0)4 6761 3243
40
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41 Abstract
42 Biodiversity research in tropical ecosystems – popularized as the most biodiverse habitats on
43 Earth – often neglects invertebrates, yet representing the bulk of local species richness. Insect
44 communities in particular remain strongly impeded by both Linnaean and Wallacean shortfalls,
45 and identifying species often remains a formidable challenge inhibiting the use of these
46 organisms as indicators for ecological and conservation studies.
47 Here we use DNA barcoding as an alternative to traditional taxonomic approach for
48 characterizing and comparing the diversity of moth communities in two different ecosystems in
49 Gabon. Though sampling remains very incomplete, as evidenced by the high proportion (59%) of
50 species represented by singletons, our results reveal an outstanding diversity. With about 3500
51 specimens sequenced and representing 1385 BINs (Barcode Index Numbers, used as a proxy to
52 species) in 23 families, the diversity of moths in the two sites sampled is higher than the current
53 number of species listed for the entire country, highlighting the huge gap in biodiversity
54 knowledge for this country. Both seasonal and spatial turnovers are strikingly high (18.3% of
55 BINs shared between seasons, and 13.3% between sites) and draw attention to the need to
56 account for these when running regional surveys. Our results also highlight the richness and
57 singularity of savannah environments and emphasize the status of Central African ecosystems as
58 hotspots of biodiversity.
59
60 Keywords: Community Ecology, DNA barcodes, Lepidoptera, Tropical Africa, Taxonomic
61 deficit
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62 Introduction
63 Tropical ecosystems host unrivalled species richness (Kier et al. 2005; Myers 1984; Myers et al.
64 2000), a fact that has long captivated public attention and raised concerns about the way to
65 conserve this immense biodiversity (Wilson 1988). Understanding of tropical biodiversity has
66 historically been biased toward the largest organisms such as angiosperms and vertebrates (May
67 2011), leaving considerable gaps in our knowledge of hyperdiverse groups of smaller animals,
68 especially arthropods. These organisms are nevertheless key to ecosystem functioning (Erwin
69 1983; Zhang 2011) and the shortfalls in our taxonomic, biogeographic and ecological knowledge
70 are strong impediments against the integration of these organisms in conservation and
71 management strategies (Miller and Rogo 2002; Whittaker et al. 2005). Because the few studies
72 addressing this topic predict high extinction numbers for insects (Fonseca 2009; Stork and Habel
73 2013), it is urgent to lift “the curse of ignorance” (Diniz-Filho et al. 2010) by developing multi-
74 scale studies on insect diversity that benefit from the technological revolution of the ‘genomic
75 era’ (Godfray 2006; Wilson 2003) and its recent developments in biodiversity sciences (Hebert et
76 al. 2003a).
77 The Afrotropical region is one of the Major Tropical Wilderness Areas on earth (Myers 1990;
78 Wilson 2002), i.e. a large and highly diverse area that has seen little impact from human activities
79 until recently (i.e. < 5 inhab km-2 and > 75% of the original vegetation still present) (Mittermeier
80 et al. 1998). However, recent estimates indicate that annual net deforestation of African tropical
81 rainforests, although less dramatic than in Latin America or Southeast Asia, approached 0.3
82 million ha/year- for the 2000-2010 decade (Achard et al. 2014), which could have led to dramatic
83 biodiversity loss. As many as 100 000 insect species have been reported from the area, but Miller
84 and Rogo (2002) suggest that species richness could exceed 600 000 species. In Gabon, a central-
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85 African country which is still covered by 80% of tropical rainforests, insect inventories have only
86 considered butterflies (vande Weghe 2010), a few groups with limited number of species such as
87 Mantodea (Roy 1973), Lucanidae (Maes and Pauly 1998) or Apoidae (Pauly 1998), and groups
88 with specific economical and/or agronomical importance such as Pseudococcidea (Hemiptera)
89 and their parasitoids (Boussienguet et al. 1991). A few studies have also targeted terrestrial
90 arthropod assemblages along human disturbance gradients (Basset et al. 2004, 2008).
91 Several authors emphasized the potential of using highly diverse groups, such as Lepidoptera, as
92 environmental indicators (Axmacher et al. 2004a, 2004b; Beck et al. 2013; Kitching et al. 2000;
93 Ricketts et al. 2001). They are indeed key herbivores and an important link within foodwebs as
94 prey or as hosts for parasitoids. Variation in the diversity and structure of lepidopteran
95 communities is thus likely to be representative of changes at other trophic levels. For instance,
96 lepidopteran species depend on their host plant species (or a few closely related plants), and in
97 turn play a fundamental role as pollinators; this connects them closely to plant community
98 structure and composition (Ehrlich and Raven 1964; Novotny et al. 2002b). On the other hand,
99 trophic cascades in food webs are likely to link both host plant and primary consumer
100 assemblages to associated higher trophic levels of predators and parasitoids. Surprisingly
101 however, only a few studies have examined this group in the Afrotropics. The taxonomic deficit
102 and the high number of species that occur in those environments are certainly important causes
103 for this deficit, because they impede reliable inventories and the description of community
104 patterns. In a recent study based on a substantial sampling effort in Papua New Guinea (over
105 30 000 specimens collected over several years), Ashton et al. (2014) found that no asymptote was
106 reached by species accumulation curves. These authors, however, also suggested that more
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107 limited sampling could be efficient in highlighting differences in the diversity and composition of
108 moth communities among distant localities.
109 In this study, we use DNA barcodes to document and compare communities of moths in two
110 differing ecosystems of Gabon. Several recent studies have demonstrated the effectiveness of
111 DNA barcoding – a tool for species identification based on a short standardized DNA fragment
112 (Hebert et al. 2003b) – in documenting species diversity of lepidopteran communities in regions
113 where species assemblages are very diverse and when many species are undescribed (Janzen et
114 al., 2009; Lamarre et al. 2016; Lees et al. 2014; Zenker et al. 2016). With this approach we aim at
115 evaluating the sampling effort required to produce relevant census of these communities, to
116 document seasonal variation in community composition, and if species-turnover (β-diversity) as
117 revealed from our data is reflecting significant differences in richness and composition that can
118 be linked to the different habitats sampled. Finally, we discuss the contribution of our study to the
119 current knowledge of moth diversity in Gabon and in the Afrotropical region, with special
120 reference to information compiled in the AfroMoths database (De Prins 2016; De Prins and De
121 Prins 2017).
122 Material and Methods
123 Study sites
124 Moths were collected at two locations (named Lopé 2 and Ipassa research station) in the province
125 of Ogooué-Ivindo, in Gabon (Figures 1 and 2):
126 - Lopé 2 site is situated in the northern part of Lopé National Park, about 12 km south from Lopé
127 village and the Dr. Alphonse Mackanga Missandzou Training Centre (CEDAMM, Wildlife
128 Conservation Society; coordinates: S0°13’9.699” / E11°35’5.6394”; altitude: 300m). Vegetation
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129 comprises a mosaic of forest and shrub savannah (Figure 2A). Shrub savannah is dominated by
130 Poaceae and Cyperaceae like Anadelphia arrecta, Andropogon pseudapricus, Schizachyrium
131 platyphyllum, Hyparrhenia diplandra or Ctenium newtonii and by a shrub layer with
132 Crossopteryx febrifuga and Nauclea latifolia (White and Abernethy 1997). Forest patches are
133 mainly secondary to mature okoumé rainforests, the dominant forest type in western Gabon,
134 dominated by Aucoumea klaineana (“okoumé”), Lophira alata, Desbordesia glaucescens,
135 Scyphocephalium ochochoa, Dacryodes buttneri, Santiria trimera, Sindoropsis le-testui and
136 Uapaca guineensis (Ben Yahmed and Pourtier 2004; White and Abernethy 1997).
137 - The Ipassa research station (Institut de Recherches en Ecologie Tropicale) is situated in the
138 northern part of Ivindo National Park, 12 km from the city of Makokou (coordinates:
139 N0°30’38.1456” / E12°48’1.2594”; altitude: 500m). The site is mainly surrounded by mature
140 Guineo-Congolean rainforest showing both Atlantic and continental influences (Doumenge et al.
141 2004; Nicolas 1977; White 1983), with Baphia leptobotrys and Millettia laurentii dominating the
142 tree cover, as well as Scorodophloeus zenkeri, Plagiostyles africana, Dichostemma glaucescens,
143 Santiria trimera, Polyalthia suaveolens and Poncovia pedicellaris (Figure 2B).
144 The two sites are 160 kilometers apart and share a similar seasonal cycle typical of the equatorial
145 transition zone, with short (January-February) and long (June-September) dry seasons. The
146 average monthly temperature is 24°C while mean annual precipitation is 1500 mm at Lopé and
147 1700 mm at Ipassa.
148 Moth sampling
149 Sampling was conducted at both sites in November 2009 and at Lopé 2 in February-March 2011
150 during a field class organized in the Lopé National Park (ECOTROP field class -
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151 http://www.ecotrop.com/ECOTROP). We used a standard light trap technique consisting of a
152 250W UV (mercury vapor) bulb placed 4-5 meters above the ground to attract insects (Figures
153 2A and 2C). Two low voltage lamps (80W) were positioned on both sides of a vertical white
154 sheet positioned below the UV bulb. Specimens were collected during dark-moon phases from
155 dusk to dawn (6pm to 6am, local time) in order to collect species with varying flight times
156 (Lamarre et al. 2015). Overall, four collecting nights were carried out in each site in 2009 (10th
157 to 14th of November at Lopé 2 and 14th to 18th of November at Ipassa), and three additional
158 nights at the end of the short dry season at Lopé 2 in 2011 (27th February, 1st and 4th March). Our
159 sampling design was therefore relevant to compare observed communities between sites from the
160 samples collected during the rainy season in 2009, and to investigate seasonal turnover at Lopé 2.
161 Our study focuses on macro-moths, i.e. moths whose wingspan were >1 cm, which includes the
162 nocturnal part of Macrolepidoptera as well as larger representative of non-macrolepidopteran
163 families (so-called “Microlepidoptera”), and exclude the smaller species of other families of
164 Macrolepidoptera (Figure 2D). Each night, we sampled specimens of as many species of macro-
165 moths as could be distinguished morphologically when collecting. Moths were killed using a
166 cyanide jar or by an injection of ammonia into the thorax for larger species, and were placed in
167 glassine envelopes marked with a code unique to each sampling event. Specimens are currently
168 deposited in the Museum national d’Histoire Naturelle in Paris, where they are available for
169 further taxonomic study.
170 DNA barcoding and taxonomic assignments
171 The day after collecting, specimens were sorted into morphospecies, i.e. groups of specimens that
172 were readily distinguishable from their external morphology. A maximum of four specimens per
173 morphospecies and per collecting night were then selected for molecular analyses. A small piece
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174 of tissue (generally a complete leg or its tarsus for the largest species) was sampled for each of
175 them (Figure 2D). DNA extraction was carried out at the Canadian Centre for DNA Barcoding
176 (CCDB) at the University of Guelph following a standard automated protocol (Ivanova et al.
177 2006; Hajibabaei et al. 2005). Tissue lysis occurred in 50µl of lysis buffer and proteinase K [0.02
178 mg/µL] incubated at 56ºC overnight. A 658 bp segment of the 5’ region of the COI mitochondrial
179 gene used as a standard DNA barcode was amplified through PCR using the primer pair
180 LepF1/LepR1 (Hebert et al. 2004). Samples failing to amplify after this first PCR pass were re-
181 processed using the primer sets LepF1/MLepR1 and MLepF1/LepR1 that target 307 bp and 407
182 bp overlapping fragments, respectively (Hajibabaei et al. 2006). A standard PCR reaction
183 protocol was used for all PCR amplifications and products were checked on a 2% E-gel 96
184 Agarose (Invitrogen). Unpurified PCR amplicons were sequenced in both directions using the
185 same primers as those used for the initial amplification, and following standard CCDB protocols
186 (http://ccdb.ca/resources/) (Hajibabaei et al. 2005). Trimming of primers, sequence editing and
187 contig assembly were carried out at CCDB using CodonCode software (CodonCode Corporation,
188 Centerville, MA, USA). All sequences were aligned and inspected for frame-shifts and stop
189 codons for removal of editing errors and possible pseudogenes, and then uploaded in the Barcode
190 of Life Data systems (BOLD, Ratnasingham and Hebert 2007). All records – including specimen
191 and sequence data – can be accessed publicly in BOLD and GenBank, and were assembled
192 within BOLD dataset DS-LOPELEP1.
193 Species identification of specimens using either DNA barcodes or morphology could not be
194 achieved for all the specimens, because of the incompleteness of the current DNA barcode library
195 for the region, and because of the lack of taxonomic expertise for many of the moths collected.
196 Also, the use of provisional morphospecies was intractable considering the large number of
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197 specimens and the need for a thorough processing of individuals (spreading of wings, genitalia
198 dissections) for a reliable assessment of observed species diversity (Zenker et al. 2016). As a
199 consequence we used DNA barcodes to delineate molecular taxonomic units (MOTUs) as a
200 proxy for species. More specifically, we used Barcode Index Numbers (BINs) derived from the
201 automated MOTU delineation tool implemented in BOLD (Ratnasingham and Hebert 2013), and
202 which have already been used to consistently approximate species in Lepidoptera (Hausmann et
203 al. 2013; Kekkonen and Hebert 2014). In two families, Saturniidae and Sphingidae, species were
204 carefully identified (by RR and TD) on the basis of morphology and the results were used to test
205 their correspondence with BINs.
206 A “reverse taxonomy” approach (Markmann and Tautz 2005) using DNA barcode results
207 coupled with the BOLD identification tool as well as the topology of the NJ tree failed to produce
208 species identification for most of our query sequences. However, we were able to provide a
209 family-level identification for the majority of individuals analyzed using either their general
210 morphology or DNA barcode analysis. For this second approach, the richness of the BOLD DNA
211 barcode library, with records for more than 100 000 species of Lepidoptera – proved very useful
212 using a simple query for best close matches in the database. Instead of applying a threshold to
213 generate family (or occasionally subfamily and genus) assignment, we verified the proposed
214 assignments by comparing images and, where relevant, by examining the specimens and
215 confirming the proposed taxon on the basis of its morphology.
216 Community data analyses
217 The α-diversity at each site was assessed by plotting rarefaction curves and their extrapolations
218 for both species richness and sample coverage (i.e. a measure of sample completeness that
219 estimates the proportion of the total number of individuals in a community that belong to the
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220 species represented in the sample), using specimen numbers as a measure of sampling intensity.
221 These analyses were carried out using the iNEXT package (Hsieh et al. 2014) for R 3.0.2 (R
222 Development Core Team 2004). We then used the Vegan package (Oksanen et al. 2013) to
223 calculate several diversity indices: observed richness (defined as the total number of observed
224 BINs at a given sampling site or on a given date), Chao1, ACE and second order jacknife
225 diversity estimators, and Fisher α-diversity index. We also used iNEXT to calculate the number of
226 species observed given a constant level of sampling coverage, and Vegan for the estimation of
227 species richness rarefied to a constant level of sampling intensity (i.e. a constant number of
228 specimens collected). We finally used fisherfit, prestonfit and prestondistr functions of Vegan to
229 plot rank-abundance diagrams and fit Fisher's logseries, Preston's lognormal and truncated
230 lognormal models to abundance data for each sampling site.
231 To assess β-diversity among sampling sites (for samples collected in 2009) and seasons (in Lopé
232 2 site only), we calculated an average Sørensen’s index of dissimilarity using the package Vegan
233 (Oksanen et al. 2013):
234 βBC = (b+c)/(2 a + b + c)
235 where a is the number of species (here BINs) shared between two sites B and C, and b and c are
236 the numbers of unique BINs for sites B and C.
237 We used the betapart package to decompose β-diversity into two components (Baselga 2010):
238 nestedness (i.e. when the composition of communities with a smaller species number is a subset
239 of a richer community) which reflects non-random processes of species loss, and spatial turnover
240 which results from species replacement as a consequence of environmental sorting or spatial and
241 historical constraints (Qian et al. 2005; Ulrich et al. 2009; Wright and Reeves 1992). Analyses of
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242 β-diversity were carried out with and without singletons (i.e. BINs represented by a single
243 specimen in the dataset), as their inclusion can lead to overestimation of β-diversity.
244 Results
245 Species richness at the regional scale
246 We obtained 3494 (97.7%) sequences from the 3576 specimens selected for DNA barcoding.
247 These sequences included representatives of 1385 BINs representing 23 families of Lepidoptera
248 (Table 1) and only 6 specimens (6 BINs) could not be identified to family level. Noctuidae,
249 Erebidae and Geometridae represented about one third of the BINs and sampled individuals,
250 whereas 10 other families were each represented by less than 10 specimens. More than half of the
251 BINs (796 in total, 59%) were represented by a single individual in our data set (i.e. singleton).
252 Morphological examination of specimens in the families Saturniidae (177) and Sphingidae (267),
253 led to the distinction of 42 and 63 species, respectively, of which only two (in family Saturniidae)
254 could not be identified to species and were given a provisional name (Orthogonioptilum
255 mgab_RR01 and Dogoia mgab_RR01). The correspondence between morphologically assigned
256 species and BINs was nearly perfect: 42 species versus 43 BINs in Saturniidae (98%) and 63
257 versus 66 in Sphingidae (95%) (see DNA barcode NJ trees in gen-2018-0063.R1Suppla and gen-
258 2018-0063.R1Supplb). In other families, 112 species (representing 121 BINs) were formally
259 identified by taxonomic experts (see acknowledgments) or through DNA barcode matches in
260 BOLD. Overall, with Saturniidae and Sphingidae included, these species represent about 16% of
261 all BINs (230/1385).
262 Comparison between the number of BINs observed in our study and the list of recognized species
263 and subspecies for Gabon, as derived from the AfroMoths online database (De Prins 2016; De
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264 Prins and De Prins 2017), revealed the strong taxonomic deficit and the lack of exploration (i.e.
265 biodiversity surveys, collecting activities) that characterizes moth diversity in the Afrotropics.
266 Afromoths is based on the survey of 7355 published sources for the whole Afro-tropical region
267 (as of August 8th, 2017) and the authors’ own studies. It lists 1301 moth species and subspecies
268 for Gabon, belonging to 36 families. Our survey (Figure 4), limited to macro-moths collected
269 during only 11 nights at two sites, revealed 1385 BINs in just 25 families. Three families
270 (Bombycidae, Brahmaeidae, and Lecithoceridae) detected in our study lack published records for
271 Gabon in the AfroMoths database. For 10 of the 22 other families, the number of BINs recorded
272 in our study exceeded the number of known species (Table 1). Large differences were observed
273 for Cossidae (1 species in AfroMoths versus 11 BINs), Crambidae (9 vs. 52), Erebidae (309 vs.
274 369), Geometridae (184 vs. 220), Lasiocampidae (68 vs. 101), Noctuidae (71 vs. 224), and
275 Pyralidae (6 vs. 70), which may represent the most understudied families or those yet
276 incompletely surveyed in the AfroMoths database.
277 In the few families that are well-studied for this region, we collected approximately half the
278 known number of species (48.2%, sd=6.9, N=4 – including Saturniidae (43 BINS vs. 110 species
279 listed in AfroMoths, 39%), Eupterotidae (15 vs. 32, 47%), Sphingidae (66 vs. 124, 53%) and
280 Lasiocampidae (101 vs. 188 as listed by P. Basquin, personal communication, 54%).
281 Species richness and diversity patterns between sampling sites
282 Our survey revealed a total of 823 BINs (1604 specimens analyzed) and 782 BINs (1890
283 specimens analyzed) in the Ipassa and Lopé 2 sites, respectively (Table 1). Sampling resulted in a
284 high proportion of singletons at both sites (64% and 59% of BINs in Ipassa and Lopé 2,
285 respectively; 57% of all BINs when combining the two sites), and the distributions of BIN
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286 abundance are a strong fit to a log-series model (gen-2018-0063.R1Supplc). While observed
287 richness was similar between the sites, we collected fewer BINs in Lopé 2, despite collecting
288 three additional nights in this site during the dry season.
289 For comparison of the two sites, we only considered specimens collected during the wet season
290 when sampling efforts were identical. The four collecting nights at each site resulted in the
291 capture of 1604 and 1110 specimens, which belonged to 823 and 481 BINs for Ipassa and Lopé
292 2, respectively (Table 2). Richness estimators indicate that species richness ranged between 1250
293 and 1850 species at Ipassa and between 700 and 1200 species at Lopé 2. Rarefaction curves
294 clearly show a higher richness in Ipassa (Figure 5a), while sampling coverage rate was slightly
295 higher at Lopé 2 (73% versus 68% at Ipassa) (Table 2, Figures 4b and 4c). Overall, the moth
296 communities at both sites showed a similar relative abundance of the different families, both in
297 terms of specimen numbers and BINs, although observed richness in the most diverse families
298 was consistently higher in Ipassa, with the exception of Crambidae and Pyralidae, which had
299 more BINs at Lopé 2 (Table 1).
300 Comparison of BINs collected during the wet season at Lopé 2 and Ipassa revealed only 158
301 BINs shared by the two sites, 13.8% of the total number analyzed. Sørensen’s index of β-
302 diversity calculated between the two sites was 0.76 for the whole dataset and 0.42 after singletons
303 were removed (Table 3). In both cases, β-diversity was mainly explained by spatial turnover
304 (71.0% and 67.6%, respectively) and to a lesser extent by nestedness (29.0% and 32.4%).
305 Seasonal changes in moth assemblages at Lopé 2
306 We generated DNA barcodes for 1110 and 780 specimens from Lopé 2 during the rainy and the
307 dry seasons, respectively. Observed richness during the wet season was slightly higher (478 BINs
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308 versus 441 BINs during the dry season), but this trend was reversed after rarefying richness to a
309 constant sampling effort or a constant sampling coverage. Rarefaction curves and diversity
310 estimators were also quite similar, the latter ranging between 650 and 1100 for both seasons
311 (Figure 5).
312 During the dry season, we collected moths belonging to 17 families versus 21 families during the
313 wet season. Seven families were not shared between the two sampling seasons, but all were
314 represented by few BINs (maximum 2) and individuals (maximum 2), excepting one BIN in the
315 family Thyrididae for which 18 specimens were collected in the wet season. Overall, the diversity
316 for each family was similar for the two sampling periods (Table 1) with a few exceptions: the
317 Crambidae (31 vs. 16 BINs), Pyralidae (37 vs. 18), and Saturniidae (31 vs. 9), which were all
318 more diverse during the wet season, and the Sphingidae (40 vs. 28) that was more diverse during
319 the dry season. Out of a total of 782 BINs, 144 (i.e. 18.5%) were found during both the rainy and
320 the dry seasons. Sørensen’s index of dissimilarity between seasons was 0.69, largely explained by
321 temporal turnover (95.4%), but it dropped to 0.23 and was evenly explained by turnover and
322 nestedness after removing singletons from the data set (Table 3).
323 Discussion
324 DNA barcodes for the study of moth diversity in the tropics
325 Overall, we documented in our study a number of molecular units (BINs) that was higher than the
326 total number of species listed for the country in AfroMoths database, including three families not
327 documented so far (De Prins and De Prins 2017). Considering the relatively shallow geographical
328 range and temporal extent of our study, this result highlights the weakness of the current
329 knowledge of moth diversity in the Afrotropics, despite the remarkable efforts by De Prins and
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330 De Prins (2017) to synthesize and centralize this knowledge in the AfroMoths database. Our
331 results clearly highlight the value of DNA barcoding for producing a rapid and accurate census of
332 moth diversity in a poorly studied tropical region. Because this approach facilitates comparisons
333 between sampling campaigns through barcode matches (as exemplified here between sites, but it
334 can also be applied between countries as currently in progress with a similar campaign in Central
335 African Republic), its systematic implementation would represent a powerful mean to address
336 both the Linnean and Wallacean shortfalls (Lomolino 2004), i.e. the inadequacies in taxonomic
337 and distributional knowledge that characterise most invertebrate taxa in poorly studied regions
338 such as the Congo basin (Whittaker et al. 2005).
339 In our study, the large number of BINs without taxonomic assignation at species level (1155 out
340 of 1385) corresponds both to already known species not yet documented in the BOLD libraries
341 and to species that are new to science. The number and proportion of the latter remains unclear
342 and further study by expert taxonomists of the specimens collected is needed, as well as
343 continued efforts to populate DNA barcode reference libraries. In addition, the inflation of
344 species numbers in many families may reflect an incomplete census of Gabonese records in past
345 studies, a considerable task initiated in the Afromoths database, but certainly suffering from the
346 absence of recent dedicated efforts to synthesize lepidopteran diversity data for this country. The
347 bombycid Amusaron kolga (Druce, 1887) and brahmaeid Dactyloceras lucina (Drury, 1782) for
348 instance represent new records for their respective families in Gabon, but are species known to
349 occur in neighbouring countries of the Congo basin (De Prins and De Prins 2017). In
350 Lasiocampidae the number of species listed in AfroMoths (68) is identical to the number of
351 species reported from an independent literature survey by a specialist of this family on the
352 African continent (P. Basquin, personal communication). Furthermore, this same taxonomic
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353 authority (unpublished results) has recorded approximately 188 Gabonese lasiocampid species in
354 natural history collections worldwide, which clearly demonstrates how insufficient the published
355 data are for this family at the regional scale and is consistent with the number of BINs (101)
356 reported in our study.
357 The very close fit we found between species names and BINS in the Saturniidae and Sphingidae
358 families supports previous assessments of BINs as good proxies for species in Lepidoptera where
359 empirical studies (e.g. Hausmann et al. 2013) revealed only few occurrences of discrepancies
360 between morphologically identified and molecular species (for instance one species divided in
361 two or more BINS, or multiple species merged within a single BIN; see Ratnasingham and
362 Hebert, 2013). Within the two families thoroughly investigated here, mismatches between BINs
363 and species are cases where supposedly well-defined morphological species appeared to be split
364 into two or three distinct BINs. These require further study using an integrative approach and
365 may represent cases of cryptic species, i.e. species that cannot be distinguished from
366 morphological characters, or that present subtle morphological and/or ecological traits previously
367 ascribed to intra-specific variation or thought to be insignificant for species-level recognition
368 (Janzen et al. 2009; Janzen et al. 2013; Rougerie et al. 2014). Alternatively, these BIN “splits”
369 may also cause an overestimation of species diversity if they represent cases of pseudogene
370 amplification (although this is considered unlikely here because of the absence of indels, stop
371 codons or unusual amino acid substitutions), insufficient sampling of genetic variation biasing
372 BIN assignments, or Wolbachia infections isolating lineages within species (Smith et al. 2012).
373 Geographical structure of populations in poorly mobile species could also cause strong genetic
374 structure that may inflate the number of BINs per species, but we consider this unlikely in the
375 present study because of the small geographical distance between sampled sites, the absence of
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376 geographical barriers, and the generally high vagility of moth species. DNA barcoding has
377 revealed many cases of cryptic diversity in Lepidoptera since its broad integration in the
378 taxonomic toolbox of lepidopteran taxonomists (e.g. Vaglia et al. 2008; Rougerie et al. 2012,
379 2014) and we consider it is very likely that speciose and less studied families such as Erebidae,
380 Geometridae and Noctuidae will also reveal many such cases, leading to an increase of species
381 numbers in these groups compared to available checklists only based on morphologically
382 recognized species.
383 Moth diversity at Ivindo and Lopé National Parks
384 Among the 1385 BINs found in our samples, 796 (i.e. 58% of the total) were represented by a
385 single specimen, which is a high singleton proportion compared to the average of 32% found by
386 Coddington et al. (2009) in a review of tropical arthropod studies. There are little or no biological
387 explanations for the high proportion of rare species usually found in tropical insect surveys
388 (Novotný and Basset 2000). Rather, this pattern can be attributed to undersampling of highly
389 diverse communities (Coddington et al. 2009), suggesting that caution should be taken when
390 interpreting the observed patterns of community composition and structure. It also suggests that
391 the estimates of species richness derived from our results probably represent a low estimation of
392 the actual diversity of these ecosystems. Both rarefaction curves and sampling coverage indices
393 (Figure 5, Table 2) support this idea, suggesting that at least twice the number of collected
394 species may occur in the study area.
395 We found only a few studies that assessed moth local richness in tropical rainforest or savannah
396 ecosystems and that can be readily compared with our own results. Ashton et al. (2014) sampled
397 791 to 2795 species and produced Chao1 estimates ranging from 1478 to 3666 among three
398 rainforest locations in Malaysia. In Costa Rica, Janzen et al. (2009) published a census of 2349
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399 species using a DNA barcode-based assessment of macro-moth assemblages in the Area de
400 Conservación Guanacaste (see also Janzen and Hallwachs, 2016). On the other hand, Hawes et al.
401 (2009) reported 98 species of Arctiinae (Erebidae), 43 of Saturniidae and 5 of Sphingidae in a
402 primary forest area of Brazilian Amazonia, which is well below our findings in the present study.
403 Variations in the number of species observed among studies are however difficult to interpret,
404 because they can both reflect real differences in species diversity, but can also be biased by
405 differences in sampling efforts and/or sampling performed in different seasons. In fact, the moth
406 sampling by Ashton et al. (2014) and Hawes et al. (2009) was done through 264 and 30 collecting
407 nights per study site, respectively, while the survey of Janzen et al. (2009) was conducted over
408 decades and involved additional sampling methods (in particular, the mass rearing of
409 caterpillars). Comparing the results obtained in different studies and with different sampling
410 intensity requires standardization through rarefaction procedure (Gotelli and Colwell 2001).
411 Applying this approach to the data from Ashton et al. (2014) produces a result different from
412 what can be directly deduced from observed richness (Nakamura A., Ashton L.A., Kitching.
413 R.L., personal communication). For instance, species numbers in their Malaysian sites ranged
414 from 290 to 475 after standardization to a constant sampling effort of 1000 individuals, and
415 between 100 to 270 at a constant sampling coverage of 50%, which was lower to what we found
416 in our two study sites (Table 2). This suggests that Central African rainforests may represent an
417 important hotspot for moth diversity.
418 Variation in moth diversity and composition among study sites
419 Our analyses of moth assemblages during the rainy season in the rainforest of Ipassa and the
420 savannah/forest landscape of Lopé 2 unveiled significant differences in both species diversity and
421 composition. As expected from differences in vegetation coverage, the observed and estimated
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422 richness were both higher in Ipassa. Plant diversity is indeed higher in the rainforest landscape of
423 Ipassa than in the shrubland savannahs and peaty marshes that dominate the landscapes of the
424 northern part of Lopé National Park (White and Abernethy 1997). In addition, despite presenting
425 a comparable structure, forests at Ipassa are more humid and present higher tree diversity when
426 compared with the gallery forests of Lopé 2. These features presumably offer a broader diversity
427 of ecological niches in terms of trophic resources and microhabitats, in particular via the
428 important diversity of epiphytes and lianas (Ben Yahmed and Pourtier 2004).
429 Difference in species assemblage composition among sites was high, with only 13.3% of BINs
430 found in both. This high β-diversity was mainly attributed to spatial turnover, meaning that
431 undersampling may only weakly account for this variation. This is in contrast with other studies
432 that reported relatively low β-diversity of insect herbivores in comparable tropical rainforest
433 habitats (Basset et al. 2012; Novotny et al. 2007). This also concords with other studies having
434 reported high species turnovers among sites as long as these comprised enough variability in
435 vegetation types (Beck and Chey 2007; Ødegaard 2006). In fact, contrasted composition of
436 dominant forest tree species among our study sites may have selected for different assemblages
437 of herbivorous species, as leaf-chewing insects are usually specialized on a single genus of host
438 plants (Novotny et al. 2002a, 2002b). Similarly, the presence of herbaceous ecosystems and
439 secondary forests at Lopé 2 may have also driven the presence of specific species assemblages
440 associated with these open habitats. The high diversity of Crambidae and Pyralidae observed at
441 this site compared to Ipassa could for instance be linked to species preferences within these
442 groups for herbaceous host-plants (Kitching et al. 2000).
443 Even if additional sampling is necessary to confirm this finding, these preliminary results suggest
444 that landscapes dominated by a savannah-forest patchwork may host substantial levels of
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445 herbivore insect diversity with a high compositional specificity at species level compared to
446 typical tropical rainforests. This argues in favor of a better consideration of savannah ecosystems
447 in both global estimates and conservation strategies of insect biodiversity.
448 Seasonal variation of moth assemblages
449 At Lopé 2 we found little difference in species richness of moth assemblages collected during the
450 rainy and the dry seasons. In contrast, BINs compositions clearly differed from one season to the
451 other, with only 18.3% of the BINs collected being observed in both seasons, and this temporal
452 β-diversity being clearly explained by seasonal turnover rather than by nestedness (Table 3).
453 Composition may simply be influenced by the level of vegetation development during the
454 seasonal cycle, which is well known to influence the phenology of lepidopteran species, or by
455 different climatic preferences linked to the feeding and/or reproductive activity of the moths.
456 From a methodological point of view, these results highlight the importance of standardizing the
457 period of sampling to provide fully comparable results among different localities. They also
458 suggest the need of sampling different seasons to obtain a reliable inventory of species at a given
459 study site, as the assemblages observed at the rainy season (the usually preferred period for moth
460 collecting) clearly do not provide a representative overview of the actual species composition of
461 the focal community.
462 Conclusion
463 Our study highlights the usefulness of utilizing DNA barcodes for performing rapid analyses of
464 taxonomic diversity and composition of moth assemblages in poorly studied areas. It also stresses
465 the need to accelerate biodiversity inventories in those areas that have been insufficiently
466 explored regarding moths and other poorly studied invertebrates. Central Africa clearly is one of
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467 those areas and our results represent the first robust assessment of moth diversity in Gabonese
468 forests and savannahs, highlighting a strongly understudied fauna. The material collected and the
469 DNA barcode library released with this study are thus important contributions and we expect that
470 they will serve the development of knowledge on the diversity and distribution of African moths.
471 In general, studies combining molecular data and traditional taxonomic expertise are critically
472 needed to better document invertebrate communities in tropical areas, especially in the regions
473 where anthropogenic pressures are high and where species extinctions remain unaccounted for
474 because species simply remain undocumented.
475 Acknowledgements
476 Fieldwork was supported by grants from the University of Rouen, SCALE Research Federation,
477 French Embassy at Libreville (“Service de Coopération et d’Action Culturelle”) and IRD
478 (“Action Thématique Structurante” call). Logistical support was provided by ANPN, the National
479 Agency for National Parks (Libreville, Gabon), WCS (Libreville, Gabon) and CEDAMM
480 (National Park, Lopé, Gabon), Research Station on Gorilla and Chimpanzee (SEGC, Gabon), as
481 well as “Agence des Universités Francophones” and the numerical campus of Libreville.
482 Sequencing costs were covered by grants to PDNH from Genome Canada and from the Ontario
483 Ministry of Research, Innovation and Science. Patrick Basquin (for Lasiocampidae) and Ugo
484 Dall Asta (for Lymantriinae) provided taxonomic assistance. We also thank the institutions that
485 made this project possible: CENAREST for research authorizations, IRET and IRAF (Libreville,
486 Gabon), Science University of Masuku (Franceville, Gabon (Libreville, Gabon), CIRMF
487 (Franceville, Gabon), University O. Bongo (Libreville, Gabon), and University of Douala
488 (Cameroun).
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489 The ECOTROP team is a multidisciplinary and international consortium of university teachers
490 and researchers working together at organizing field classes in the domain of environmental and
491 ecological research in the tropics. From 2011 to 2014, they coordinated four successive editions
492 of a training course in biodiversity assessment in the North of the Lope National Park in Gabon,
493 producing some of the results included in this paper. The following table gives the list of the
494 members not already listed as authors on the manuscript:
Names Contact
Emilie Arlette APINDA LEGNOUO
CENAREST, IRET, Libreville, Gabon. Email: [email protected]
Diego AYALA MIVEGEC, IRD, CRMF, Franceville, Gabon. Email: [email protected]
Marlucia BONIFACIO MARTINS
Museu Paraense Emilio Goeldi, Belem, Para, Brazil. Email: [email protected]
Laurent BREMOND ISEM, Université de Montpellier, EPHE, IRD, CNRS, Montpellier, France. Email: [email protected]
Barabara EVRARD Normandie Univ, UNIROUEN, UNICAEN, CETAPS 76000 Rouen, France. Email: [email protected]
Damien FEMENIAS Normandie Univ, UNIROUEN, UNICAEN, CETAPS 76000 Rouen, France. Email: [email protected]
Flore KOUMBA PAMBO CENAREST, IRAF, Libreville, Gabon. Email: [email protected]
Boris MAKANGA CENAREST, IRET, Libreville, Gabon. Email: [email protected]
Mike MAKAYA MVOUBOU Université des Sciences et Techniques de Masuku, Franceville, Gabon. Email: [email protected]
Elise MAZEYRAC WCS-Gabon, La Lopé, Gabon. Email: [email protected]
Judicaël OBAME NKOGHE CIRMF, Franceville, Gabon. Email: [email protected]
Marjolaine OKANGA-GUAY LAGRAC, Université Omar Bongo, Libreville, Gabon. Email: [email protected]
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Didier OREVOUNO Ecole Nationale des Eaux et Forêts, Libreville, Gabon. Email: [email protected]
Johan OSZWALD LETG, CNRS, Université Rennes 2, Rennes, France. Email: [email protected]
Christophe PAUPY MIVEGEC, IRD, CNRS, Université de Montpellier, Montpellier, France. Email: [email protected]
Olivia SCHOLTZ WCS-Gabon, Libreville, Gabon. Email: [email protected]
Maurice TINDO Université de Douala, Cameroun. Email: [email protected]
Michel VEUILLE ISYEB, CNRS, MNHN, UPMC, EPHE, Paris, France. Email: [email protected]
495
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652 Oksanen, J., Blanchet, F.G., Kindt, R., Oksanen, M.J., and Suggests, M. 2013. Package “vegan.”
653 Community ecology package. R package version 2.0-10.
654 Pauly, A. 1998. Hymenoptera Apoidea from Gabon. Ann Mus. R. Afr. Cent. Sci. Zool. 282: 1–
655 121.
656 Qian, H., Ricklefs, R.E., and White, P.S. 2005. Beta diversity of angiosperms in temperate floras
657 of eastern Asia and eastern North America. Ecol. Lett. 8: 15-22.
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658 R Development Core Team. 2004. R: a language and environment for statistical computing. R
659 Foundation for Statistical Computing, Vienna, Austria.
660 Ratnasingham, S., and Hebert, P.D.N. 2007. BOLD: The Barcode of Life Data System
661 (http://www.barcodinglife.org). Mol. Ecol. Notes 7: 355-364.
662 Ratnasingham, S., and Hebert, P.D.N. 2013. A DNA-based registry for all animal species: the
663 barcode index number (BIN) system. PLoS ONE 8: e66213.
664 Ricketts, T.H., Daily, G.C., Ehrlich, P.R., and Fay, J.P. 2001. Countryside biogeography of
665 moths in a fragmented landscape: biodiversity in native and agricultural habitats. Conserv.
666 Biol. 15: 378-388.
667 Rougerie, R., Kitching, I.J., Haxaire, J., Miller, S.E., Hausmann, A., and Hebert, P.D.N. 2014.
668 Australian Sphingidae – DNA Barcodes challenge current species boundaries and
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670 Roy, R. 1973. Premier inventaire des mantes du Gabon. Biol. Gab. 8: 235–290.
671 Stork, N.E., and Habel, J.C. 2013. Can biodiversity hotspots protect more than tropical forest
672 plants and vertebrates? J. Biogeogr. 41: 421-428.
673 Ulrich, W., Almeida-Neto, M., and Gotelli, N.J. 2009. A consumer’s guide to nestedness
674 analysis. Oikos 118: 3-17.
675 Vande Weghe, J.P. 2010. Papillons du Gabon. Wildlife Conservation Society, Libreville.
676 White, F. 1983. The vegetation of Africa: a descriptive memoir to accompany the
677 Unesco/AETFAT/UNSO vegetation map of Africa. Unesco/AETFAT/UNSO. pp. 356.
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678 White, L.J.T., and Abernethy, K.A. 1997. A guide to the vegetation of the Lopé Reserve, Gabon.
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680 Whittaker, R.J., Araújo, M.B., Jepson, P., Ladle, R.J., Watson, J.E.M., and Willis, K.J. 2005a.
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685 Wilson, E.O. 1988. Biodiversity. National Academies of Sciences, Washington DC.
686 Wilson, E.O. 2002. The future of life. Vintage Books, New York.
687 Wilson, E.O. 2003. The encyclopedia of life. Trends Ecol. Evol. 18: 77-80.
688 Wright, D.H., and Reeves, J.H. 1992. On the meaning and measurement of nestedness of species
689 assemblages. Oecologia 92: 416-428.
690 Zenker, M.M., Rougerie, R., Teston, J.A., Laguerre, M., Pie, M.R., and Freitas, A.V.L. 2016.
691 Fast Census of Moth Diversity in the Neotropics: A Comparison of Field-Assigned
692 Morphospecies and DNA Barcoding in Tiger Moths. PloS ONE 11(2): e0148423. doi:
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694 Zhang, Z.-Q. 2011. Animal biodiversity: an introduction of higher-level classification and survey
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696 Figure Captions
697 Figure 1. Location of the study sites; Dark grey areas on the upper right map represent National
698 Parks in Gabon. The Ipassa site is located near Ivindo.
699 Figure 2. Photos of the two study sites and sampling methods: A) View of the savannah-forest
700 patchwork in Lopé National Park, showing the position of the light trap (Lopé 2, November
701 2009); B) Rainforests at Ipassa research station at the edge of the Ivindo river (November 2009);
702 C) Light trapping at Lopé 2 in March 2011; D) Tissue sampling for DNA barcoding during the
703 ECOTROP field class in March 2011.
704 Figure 3. Diversity and composition of the macro-moth sample at the two locations (Lopé 2 and
705 Ipassa): the circular phylogram represents the results of a Neighbor Joining analysis in BOLD of
706 3,494 COI sequences clustering into 1,385 BINs; barcodes obtained for specimens from Ipassa
707 are in green while those from Lopé 2 are in grey. The pie chart represents the relative
708 contribution (ordered) of the different families and sub-families (for Erebidae) of moths collected
709 in the two sites; numbers within brackets indicate the number of BINs and number of specimens
710 sampled, respectively.
711 Figure 4. Comparisons between the numbers of BINs observed in this study for 28 families and
712 sub-families of macro-moths (dashed bars) and the numbers reported from Gabon in the
713 AfroMoths online database (grey bars; De Prins and De Prins 2017).
714 Figure 5. Individual-, sample-, and coverage-based rarefaction and extrapolation curves for the
715 two study sites and for two seasons at Lopé 2 (DS: dry season, WS: wet season): A) Size-based
716 rarefaction/extrapolation curves; B) Sample coverage plotted against the number of individuals;
717 C) Coverage-based rarefaction/extrapolation (rarefaction curves are represented in solid lines,
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718 extrapolation curves in dashed lines; shaded areas represent a 95% confidence intervals based on
719 a bootstrap method with 200 replications).
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720 Tables
721 Table 1. Number of individuals and number of BINs collected for different families/sub-families
722 of macro-moths at the two study sites and for two seasons at Lopé 2, and number of species listed
723 in the AfroMoths online database (grey bars; De Prins and De Prins 2017) for the same
724 families/sub-families (WS= wet season; DS= dry season).
Ipassa (WS) Lopé (WS) Lopé (DS) Lopé Total
# ind # BINs # ind # BINs # ind # BINs # ind # BINs # ind # BINs
Bombycidae 2 2 2 2
Brahmaeidae 2 1 2 1 2 1 4 1
Cossidae 6 5 5 4 8 4 13 8 19 11
Crambidae 17 14 73 31 19 16 92 43 109 52
Drepanidae 6 4 1 1 1 1 7 5
Erebidae (Arctiinae) 198 71 131 41 75 37 206 65 404 113
Erebidae (Erebinae) 75 38 71 24 47 34 118 46 193 72
Erebidae
(Lymantriinae) 220 103 47 32 79 54 126 73 346 164
Other Erebidae 61 33 102 18 22 18 124 32 185 60
Eriocottidae 2 2 2 2 2 2
Eupterotidae 13 10 22 3 5 3 27 5 40 15
Euteliidae 1 1 4 2 5 2 5 2
Geometridae 293 153 130 63 117 62 247 107 540 220
Lasiocampidae 88 55 80 42 74 36 154 61 242 101
Lecithoceridae 1 1 2 1 3 2 3 2
Limacodidae 31 15 20 14 8 7 28 18 59 30
Noctuidae 199 125 103 66 95 69 198 124 397 224
Nolidae 2 2 2 2 2 2
Notodontidae 155 77 72 31 45 27 117 49 272 104
Psychidae 1 1 2 2 6 4 8 4 9 5
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Pyralidae 65 29 82 37 25 18 107 49 172 70
Saturniidae 62 32 79 31 36 9 115 33 177 43
Sphingidae 98 44 58 28 111 40 169 47 267 66
Thyrididae 4 4 18 1 18 1 22 5
Tineidae 2 1 2 1 2 1
Tortricidae 5 4 1 1 1 1 6 5
Uraniidae 1 1 1 1 1 1
Zygaenidae 1 1 0 1 1
Not identified 2 2 4 4 4 4 6 6
Total 1604 823 1110 481 780 443 1890 782 3494 1385
725
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727 Table 2. Summary of macro-moth data sets collected at the two study sites and for two seasons in
728 Lopé 2 (numbers in parentheses represent the 95% confidence intervals based on a bootstrap
729 method with 200 replications).
Ipassa (WS) Lopé (WS) Lopé (DS) Lopé
Number of indiduals collected 1604 1110 780 1890
Observed richness 823 481 443 782
Proportion of singletons (%) 63.85 63.61 64.93 59.31
Sampling coverage (%) 67.32 (± 2.95) 72.44 (± 2.27) 63.14 (± 3.02) 75.54 (± 1.77)
Richness at constant sampling coverage of 50% 469.2 (± 13.8) 197.6 (± 7.0) 313.7 (± 12.9) 330.4 (± 7.6)
Richness at constant sampling intensity of 1000 indiv. 599.1 (± 8.9) 449.9 (± 4.4) 511.4 (± 25.6) 521.5 (± 9.5)
Chao1 estimated richness 1837.0 (± 130.6) 1011.6 (± 107.9) 869.5 (± 70.9) 1513.4 (± 96.5)
ACE estimated richness 1849.4 (± 27.6) 1120.6 (± 20.7) 1054.4 (± 22.9) 1629.5 (± 26.2)
First order jackniffe estimated richness 1269.2 (± 286.2) 728.5 (± 169.7) 663.7 (± 166.9) 1211.4 (± 197.0)
Fisher alpha 678.3 (± 36.5) 318.2 (± 21.0) 419.3 (± 32.3) 491.5 (± 25.0)
730
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732 Table 3. Comparison of macro-moth species assemblages between the two study sites and for
733 two seasons in Lopé 2 showing the Sørensen index of dissimilitude (with singletons removed or
734 not from the dataset) and its partitioning into geographical/seasonal turnover and nestedness.
Sørensen Turnover (%) Nestedness (%)
Ipassa vs Lopé 2 0.75 70.97 29.03
Same without singletons 0.40 67.57 32.43
Wet vs dry season (Lopé 2) 0.69 95.39 4.61
Same without singletons 0.23 54.76 45.24
735
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736 Captions for Supplementary materials
737 gen-2018-0063.R1Suppla. Neighbour Joining (NJ) tree based on K2P distances for the
738 Sphingidae and Saturniidae moths collected in Ipassa (terminals labelled as ‘makokou’ in the
739 tree) and Lopé 2 (labelled as ‘La Lope’). The tree was produced with records in BOLD dataset
740 DS-LOPELEP1 using BOLD-alignment and default settings.
741 gen-2018-0063.R1Supplb. Images of specimens in NJ tree of gen-2018-0063.R1Suppla;
742 numbers of images correspond to numbers of terminals in gen-2018-0063.R1Suppla tree.
743 gen-2018-0063.R1Supplc. Rank-abundance diagrams for Ipassa (left panels) and Lopé 2 (right
744 panels): (A) and (C) represent Fisher's logseries functions fitted on abundance data; (B) and (D)
745 represent Preston's lognormal (red lines) and truncated lognormal (blue lines) models.
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A B
C D
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Draft Nudaurelia dione|Lope11−0980Nudaurelia dione|TDGABb−298Nudaurelia dione|TDGABb−297Nudaurelia dione|TDGABb−296Nudaurelia dione|TDGABb−295Nudaurelia dione|TDGABb−294Nudaurelia dione|TDGABb−293Nudaurelia anthinoides|TDGABb−270Nudaurelia amathusia|TDGABb−269Nudaurelia amathusia|TDGABb−267Nudaurelia amathusia|TDGABb−268Bunaea alcinoe|Lope11−0867Bunaea alcinoe|TDGABb−292Bunaea alcinoe|TDGABb−291Bunaea alcinoe|Lope11−0678Nudaurelia bouvieri|TDGABb−273Nudaurelia bouvieri|TDGABb−272Nudaurelia bouvieri|TDGABb−271Imbrasia epimethea|Lope11−0679Imbrasia epimethea|TDGABb−256Imbrasia epimethea|TDGABb−258Imbrasia epimethea|TDGABb−260Imbrasia epimethea|TDGABb−259Imbrasia epimethea|TDGABb−299Imbrasia longicaudata|TDGABb−387Imbrasia ertli|TDGABb−257Imbrasia ertli|TDGABb−255Imbrasia ertli|TDGABb−254Nudaurelia eblis|TDGABb−283Nudaurelia eblis|TDGABb−282Nudaurelia eblis|TDGABb−281Nudaurelia eblis|TDGABb−280Nudaurelia eblis|TDGABb−279Nudaurelia jamesoni|TDGABb−300Lobobunaea goodii|Lope11−0879Lobobunaea goodii|Lope11−0680Lobobunaea erythrotes|TDGABb−303Lobobunaea erythrotes|TDGABb−302Lobobunaea erythrotes|TDGABb−306Lobobunaea erythrotes|TDGABb−305Lobobunaea erythrotes|TDGABb−304Lobobunaea acuta|TDGABb−307Lobobunaea phaedusa|Lope11−0428Lobobunaea phaedusa|TDGABb−310Lobobunaea phaedusa|TDGABb−309Lobobunaea phaedusa|TDGABb−308Lobobunaea phaedusa|TDGABb−311Lobobunaea acetes|TDGABb−290Lobobunaea acetes|TDGABb−289Lobobunaea acetes|TDGABb−288Athletes albicans|TDGABb−301Athletes albicans|TDGABb−0183Athletes albicans|TDGABb−0181Athletes albicans|TDGABb−0180Athletes albicans|TDGABb−0182Pseudobunaea cleopatra|TDGABb−287Pseudobunaea tyrrhena|TDGABb−285Pseudobunaea alinda|TDGABb−286Pseudantheraea discrepans|TDGABb−0189
Pseudantheraea discrepans|TDGABb−0185
Pseudantheraea discrepans|TDGABb−0188
Pseudantheraea discrepans|TDGABb−0184
Pseudantheraea discrepans|TDGABb−0186
Pseudantheraea discrepans|TDGABb−0187
Pselaphelia gemmifera|TDGABb−317Dasychira|Lope11−0133Aurivillius triramis|TDGABb−278Aurivillius triramis|TDGABb−277Aurivillius aratus|TDGABb−276Aurivillius aratus|TDGABb−275Eudaemonia argiphontes|TDGABb−398
Eudaemonia argiphontes|TDGABb−397
Eudaemonia argiphontes|TDGABb−396
Eudaemonia argiphontes|TDGABb−389
Eudaemonia argiphontes|TDGABb−395
Eudaemonia argus|TDGABb−394
Eudaemonia argus|TDGABb−393
Eudaemonia argus|TDGABb−392
Eudaemonia argus|TDGABb−391
Eudaemonia argus|TDGABb−390
Eudaemonia troglophylla|TDGABb−388
Noctuidae|TDGAB−2073Geometridae|Lope11−0489Geometridae|Lope11−0321Geometridae|TDGAB−1466Geometridae|TDGAB−0210Geometridae|TDGAB−2267Geometridae|TDGAB−0658Geometridae|TDGAB−2185Timana|TDGAB−0833Timana|TDGAB−0161Arctiinae|Lope11−0315Epanaphe|TDGAB−2415Epanaphe|TDGAB−2296Epanaphe|TDGAB−2119Epanaphe|TDGAB−1236Epanaphe|TDGAB−1996Epanaphe|TDGAB−1986Epanaphe|TDGAB−0054Epanaphe|TDGAB−1795Epanaphe|TDGAB−0714Epanaphe|TDGAB−1111Epanaphe|TDGAB−1926
Epanaphe|TDGAB−1823
Epanaphe|TDGAB−1820
Epanaphe carteri|TDGAB−1915
Epanaphe carteri|TDGAB−1139
Epanaphe carteri|TDGAB−0472
Epanaphe carteri|TDGAB−1657
Epanaphe carteri|TDGAB−1585
Lasiocampidae|Lope11−0152
Lasiocampidae|TDGAB−1771
Lasiocampidae|TDGAB−1662
Lasiocampidae|TDGAB−1659
Lasiocampidae|TDGAB−1206
Lasiocampidae|TDGAB−0105
Lasiocampidae|TDGAB−1179
Notodontidae|TDGAB−1023
Notodontidae|Lope11−0785
Noctuidae|TDGAB−1873
Noctuidae|TDGAB−0580
Noctuidae|TDGAB−1675
Noctuidae|TDGAB−0262
Jana gracilis|TDGABb−328
Noctuidae|TDGAB−0411
Lymantriinae|Lope11−0994
Lymantriinae|TDGAB−0858
Griveaudyria cangia|Lope11−0719
Griveaudyria cangia|Lope11−0630
Griveaudyria cangia|Lope11−0621
Griveaudyria cangia|Lope11−0620
Griveaudyria cangia|Lope11−0105
Griveaudyria cangia|TDGAB−1883
Griveaudyria cangia|TDGAB−1759
Griveaudyria cangia|TDGAB−1393
Griveaudyria cangia|TDGAB−1392
Griveaudyria cangia|TDGAB−1382
Griveaudyria cangia|TDGAB−0881
Griveaudyria cangia|TDGAB−0539
Griveaudyria cangia|TDGAB−0513
Griveaudyria cangia|TDGAB−0355
Griveaudyria cangia|TDGAB−0936
Griveaudyria|TDGAB−2158
Griveaudyria|TDGAB−1290
Griveaudyria|TDGAB−1084
Griveaudyria|TDGAB−0248
Griveaudyria|TDGAB−2343
Griveaudyria|TDGAB−2330
Griveaudyria|TDGAB−2118
Griveaudyria|TDGAB−1294
Griveaudyria|TDGAB−0341
Griveaudyria|TDGAB−0451
Griveaudyria|TDGAB−0813
Griveaudyria|TDGAB−0359
Griveaudyria ila|Lope11−0627
Griveaudyria ila|Lope11−0160
Griveaudyria ila|TDGAB−1169
Griveaudyria ila|TDGAB−0358
Griveaudyria|TDGAB−1993
Griveaudyria|TDGAB−0525
Griveaudyria|TDGAB−1701
Griveaudyria|TDGAB−1445
Griveaudyria|TDGAB−0356
Lymantriinae|TDGAB−2161
Lymantriinae|TDGAB−1015
Lymantriinae|TDGAB−2082
Lymantriinae|TDGAB−2140
Lymantriinae|TDGAB−1187
Lymantriinae|TDGAB−0951
Lymantriinae|TDGAB−1238
Lymantriinae|TDGAB−1909
Lymantriinae|TDGAB−1591
Lymantriinae|TDGAB−1541
Lymantriinae|TDGAB−0842
Lymantriinae|TDGAB−0818
Lymantriinae|TDGAB−0874
Lymantriinae|TDGAB−2083
Lymantriinae|TDGAB−0527
Lymantriinae|TDGAB−0508
Lymantriinae|TDGAB−0494
Lymantriinae|TDGAB−1269
Lymantriinae|TDGAB−1256
Lymantriinae|TDGAB−0450
Lymantriinae|Lope11−0331
Lymantriinae|Lope11−0046
Lymantriinae|TDGAB−0847
Lymantriinae|TDGABb−366
Lymantriinae|TDGAB−0371
Lymantriinae|TDGABb−365
Lymantriinae|TDGAB−1195
Lymantriinae|TDGAB−1182
Lymantriinae|TDGAB−0886
Lymantriinae|TDGAB−0348
Lymantriinae|TDGAB−0372
Dasychira UD001|Lope11−0928
Dasychira UD001|Lope11−0558
Dasychira|TDGAB−0530
Dasychira|TDGAB−0490
Dasychira|Lope11−0910
Dasychira|TDGAB−1527
Dasychira|TDGAB−0152
Dasychira|Lope11−0180
Euproctis|Lope11−0154
Euproctis|TDGAB−1222
Euproctis UD001|Lope11−0124
Euproctis|TDGAB−1234
Euproctis|TDGAB−1004
Euproctis|TDGAB−0362
Euproctis UD008|Lope11−0821
Euproctis|TDGAB−1970
Euproctis|TDGAB−0966
Euproctis UD002|Lope11−0171
Euproctis|TDGAB−1868
Euproctis|TDGAB−1793
Euproctis UD003|Lope11−0792
Euproctis UD006|Lope11−0148
Euproctis|Lope11−0369
Euproctis|TDGAB−1631
Euproctis|TDGAB−1949
Euproctis|TDGAB−1840
Euproctis|TDGAB−0801
Euproctis|TDGAB−0759
Neomardara africana|Lope11−0847
Neomardara africana|Lope11−0098
Neomardara africana|TDGAB−1436
Neomardara africana|Lope11−0782
Neomardara africana|Lope11−0169
Neomardara africana|Lope11−0166
Neomardara africana|TDGAB−1875
Lymantriinae|TDGAB−1910
Lymantriinae|TDGAB−0826
Lymantriinae|TDGAB−0946
Lymantriinae|TDGABb−340
Lymantriinae|TDGAB−0489
Lymantriinae|TDGAB−0400
Dasychira|Lope11−0636
Dasychira delicata|Lope11−0120
Lymantriinae|TDGAB−2042
Lymantriinae|TDGAB−0463
Lymantriinae|TDGAB−2228
Lymantriinae|TDGAB−1889
Lymantriinae|TDGAB−1335
Lymantriinae|TDGAB−1008
Lymantriinae|TDGAB−2260
Lymantriinae|TDGAB−0485
Rahona macrodonta|Lope11−0442
Rahona macrodonta|TDGAB−0379
Rahona macrodonta|TDGAB−0377
Dasychira antica|TDGAB−2293
Lymantriinae|TDGAB−1637
Lymantriinae|TDGAB−1031
Lymantriinae|TDGAB−0173
Lymantriinae|TDGAB−1299
Lymantriinae|TDGAB−0453
Lymantriinae|TDGAB−1155
Notodontidae|Lope11−0946
Notodontidae|TDGAB−0082
Notodontidae|TDGAB−1499
Notodontidae|TDGAB−1664
Notodontidae|TDGAB−1584
Notodontidae|Lope11−0839
Notodontidae|Lope11−0825
Notodontidae|Lope11−0312
Notodontidae|Lope11−0183
Notodontidae|Lope11−0099
Notodontidae|TDGAB−1562
Notodontidae|TDGAB−0132
Notodontidae|TDGAB−1468
Notodontidae|Lope11−0094
Notodontidae|TDGAB−1522
Notodontidae|TDGAB−1521
Notodontidae|TDGAB−1434
Notodontidae|TDGAB−1513
Notodontidae|TDGAB−1488
Notodontidae|TDGAB−1489
Notodontidae|TDGAB−1511
Notodontidae|TDGAB−1520
Notodontidae|TDGAB−1579
Notodontidae|TDGAB−1861
Notodontidae|TDGAB−1881
Notodontidae|Lope11−0085
Notodontidae|Lope11−0717
Notodontidae|Lope11−0559
Notodontidae|Lope11−0556
Notodontidae|Lope11−0329
Notodontidae|Lope11−0303
Notodontidae|Lope11−0158
Notodontidae|Lope11−0103
Notodontidae|TDGAB−1923
Notodontidae|TDGAB−1869
Notodontidae|TDGAB−1857
Notodontidae|TDGAB−1856
Notodontidae|TDGAB−1572
Notodontidae|TDGAB−1540
Notodontidae|TDGAB−0117
Notodontidae|TDGAB−0129
Notodontidae|TDGAB−0861
Notodontidae|TDGAB−1034
Notodontidae|TDGAB−1451
Notodontidae|TDGAB−1519
Notodontidae|Lope11−0357
Notodontidae|TDGAB−1831
Notodontidae|Lope11−0101
Notodontidae|TDGAB−1590
Notodontidae|Lope11−0363
Notodontidae|TDGAB−1262
Notodontidae|TDGAB−2271
Notodontidae|TDGAB−1038
Notodontidae|TDGAB−1214
Lymantriinae|Lope11−0845
Lymantriinae|Lope11−0147
Lymantriinae|TDGAB−0154
Lymantriinae|Lope11−0721
Lymantriinae|TDGAB−1953
Lymantriinae|TDGAB−1605
Lymantriinae|TDGAB−2067
Lymantriinae|TDGAB−1082
Lymantriinae|TDGAB−1313
Lymantriinae|TDGAB−0938
Lymantriinae|TDGAB−0541
Laelia UD001|TDGAB−2176
Lymantriinae|TDGAB−1163
Lymantriinae|TDGAB−0863
Lymantriinae|TDGAB−0958
Lymantriinae|TDGAB−1177
Lymantriinae|TDGAB−0502
Lymantriinae|TDGAB−1914
Lymantriinae|Lope11−0642
Lymantriinae|TDGAB−0614
Lymantriinae|TDGAB−1053
Lymantriinae|TDGAB−0947
Lymantriinae|Lope11−0481
Lymantriinae|TDGAB−0238
Lymantriinae|TDGAB−0375
Lymantriinae|TDGAB−0875
Dasychira|Lope11−0143
Dasychira|Lope11−0142
Lymantriinae|TDGAB−2094
Lymantriinae|TDGAB−2013
Lymantriinae|TDGAB−0272
Lymantriinae|TDGAB−1688
Lymantriinae|Lope11−0631
Lymantriinae|TDGAB−2135
Lymantriinae|TDGAB−1098
Lymantriinae|TDGAB−1002
Lymantriinae|TDGAB−1452
Notodontidae|Lope11−0590
Notodontidae|TDGAB−0768
Notodontidae|TDGAB−0576
Notodontidae|TDGAB−0283
Lymantriinae|TDGAB−1130
Lymantriinae|TDGAB−0465
Lymantriinae|TDGAB−0330
Otroeda caffra
|Lope11−0869
Otroeda caffra
|Lope11−0715
Otroeda|TDGABb−321
Notodontidae|TDGAB−1075
Notodontidae|TDGAB−1070
Notodontidae|TDGAB−0920
Anticarsia irrorata|TDGAB−1253
Anticarsia irrorata|TDGAB−1151
Naroma signifera|Lope11−0644
Naroma signifera|Lope11−0346
Naroma signifera|TDGAB−1684
Naroma signifera|TDGAB−0065
Naroma signifera|TDGAB−0998
Naroma|TDGAB−0595
Noctuidae|TDGAB−1330
Noctuidae|TDGAB−1158
Noctuidae|TDGAB−0668
Noctuidae|TDGAB−0110
Noctuidae|TDGAB−1927
Noctuidae|TDGAB−1563
Noctuidae|TDGAB−0066
Soloe|Lope11−0817
Soloe|Lope11−0318
Soloe|Lope11−0081
Soloe|TDGAB−1787
Soloe|TDGAB−0685
Soloe|TDGAB−0624
Soloe|TDGAB−0669
Noctuidae|TDGAB−1961
Dasychira goodii|T
DGAB−1825
Lymantriinae|TDGAB−1012
Arctiinae|Lope11−0814
Lymantriinae|TDGABb−318
Pyralidae|Lope11−0639
Lymantriinae|TDGAB−1289
Lymantriinae|TDGAB−0919
Notodontidae|Lope11−0638
Notodontidae|TDGAB−1110
Notodontidae|TDGAB−1083
Notodontidae|TDGAB−0943
Notodontidae|TDGAB−1088
Notodontidae|TDGAB−0996
Notodontidae|TDGAB−0921
Notodontidae|TDGAB−1107
Notodontidae|TDGAB−0906
Arctiinae|TDGAB−1945
Arctiinae|TDGAB−1935
Arctiinae|TDGAB−1805
Arctiinae|TDGAB−0151
Arctiinae|TDGAB−0007
Arctiin
ae|TDGAB−19
41
Arctiin
ae|TDGAB−18
46
Arctiin
ae|TDGAB−06
16
Arctiin
ae|TDGAB−01
49
Arctiin
ae|TDGAB−17
85
Arctiin
ae|TDGAB−00
05
Arctiin
ae|TDGAB−19
44
Arctiin
ae|TDGAB−19
43
Arctiin
ae|TDGAB−19
42
Arctiin
ae|TDGAB−19
40
Arctiin
ae|TDGAB−17
07
Arctiin
ae|TDGAB−16
96
Arctiin
ae|TDGAB−14
85
Arctiin
ae|TDGAB−13
71
Arctiin
ae|TDGAB−01
47
Arctiin
ae|TDGAB−01
31
Arctiin
ae|TDGAB−08
48
Arctiin
ae|TDGAB−19
39
Arctiin
ae|TDGAB−18
48
Arctiin
ae|TDGAB−14
12
Arctiin
ae|TDGAB−07
95
Arctiin
ae|TDGAB−18
26
Arctiin
ae|TDGAB−01
53
Arctiin
ae|TDGAB−00
04
Arctiin
ae|TDGAB−19
31
Arctiin
ae|TDGAB−07
47
Arctiin
ae|TDGAB−17
83
Arctiin
ae|Lope1
1−09
91
Arctiin
ae|Lope1
1−08
07
Arctiin
ae|TDGAB−1
532
Arctiin
ae|TDGAB−1
446
Arctiin
ae|Lope1
1−05
37
Arctiin
ae|Lope1
1−05
33
Arctiin
ae|Lope1
1−05
32
Arctiin
ae|Lope1
1−02
93
Arctiin
ae|Lope1
1−02
88
Arctiin
ae|Lope1
1−00
64
Arctiin
ae|TDGAB−2
034
Arctiin
ae|TDGAB−1
188
Arctiin
ae|Lope1
1−00
05
Arctiin
ae|TDGAB−1
742
Arctiin
ae|Lope1
1−05
40
Arctiin
ae|Lope1
1−03
54
Arctiin
ae|TDGAB−1
252
Arctiin
ae|Lope1
1−05
23
Automolis|TDGAB−0
523
Balacra
|Lope11−
0805
Balacra
|Lope11−
0804
Balacra
|TDGAB−160
7
Balacra
|Lope11−
0353
Balacra
|Lope11−
0150
Balacra
pulchra|
Lope11−
0800
Balacra
pulchra|
TDGAB−143
3
Balacra
pulch
ra|TD
GAB−080
0
Balacra
pulch
ra|Lo
pe11
−052
7
Balacra
pulch
ra|Lo
pe11
−052
5
Balacra
pulch
ra|Lo
pe11
−003
5
Balacra
pulch
ra|Lo
pe11
−003
4
Balacra
pulch
ra|Lo
pe11
−003
3
Balacra
pulch
ra|Lo
pe11
−003
0
Balacra
pulch
ra|Lo
pe11
−002
9
Balacra
pulch
ra|Lo
pe11
−000
2
Balacra
pulch
ra|TD
GAB−201
6
Balacra
pulch
ra|TD
GAB−186
5
Balacra
pulch
ra|TD
GAB−185
2
Balacra
pulch
ra|TD
GAB−168
0
Balacra
|TDGAB−2
021
Balacra
|Lope
11−0
802
Balacra
|Lope
11−0
040
Balacra
|Lope
11−0
039
Balacra
|Lope
11−0
036
Balacra
|TDGAB−2
346
Balacra
|TDGAB−2
089
Balacra
|TDGAB−1
254
Balacra
|TDGAB−0
399
Balacra
|TDGAB−2
351
Balacra
|TDGAB−2
197
Balacra
|Lope
11−0
801
Balacra
|Lope
11−0
037
Balacr
a|Lop
e11−
0038
Balacr
a|Lop
e11−
0008
Balacr
a|TDGAB−0
008
Balacr
a|TDGAB−0
002
Arctiin
ae|Lo
pe11
−080
6
Arctiin
ae|Lo
pe11
−053
5
Arctiin
ae|TD
GAB−061
3
Rhipida
rctia|
TDGAB−0
880
Arctiin
ae|Lo
pe11
−053
8
Arctiin
ae|Lo
pe11
−031
0
Arctiin
ae|Lo
pe11
−004
1
Arctiin
ae|TD
GAB−166
7
Arctiin
ae|TD
GAB−224
9
Arctiin
ae|TD
GAB−206
1
Arctiin
ae|TD
GAB−055
9
Arctiin
ae|TD
GAB−201
4
Para
melisa
|TDGAB−0
225
Arctiin
ae|Lo
pe11
−054
2
Arctiin
ae|TD
GAB−171
6
Arctiin
ae|TD
GAB−169
7
Arctiin
ae|TD
GAB−160
6
Arctiin
ae|TD
GAB−073
3
Arctiin
ae|TD
GAB−063
6
Arctiin
ae|TD
GAB−073
4
Arctiin
ae|TD
GAB−076
3
Arctiin
ae|TD
GAB−081
7
Arctiin
ae|Lo
pe11
−031
9
Arctiin
ae|TD
GAB−075
2
Arctiin
ae|TD
GAB−018
0
Arctiin
ae|Lo
pe11
−004
2
Arctiin
ae|TD
GAB−234
7
Arctiin
ae|TD
GAB−215
3
Arctiin
ae|TD
GAB−212
5
Arctiin
ae|TD
GAB−177
7
Arctiin
ae|TD
GAB−127
9
Arctiin
ae|TD
GAB−107
9
Arctiin
ae|TD
GAB−107
8
Arctiin
ae|TD
GAB−234
5
Arctiin
ae|TD
GAB−214
1
Arctiin
ae|TD
GAB−233
3
Arctiin
ae|T
DGAB−029
7
Arctiin
ae|L
ope1
1−02
86
Arctii
nae|T
DGAB−227
2
Arctii
nae|T
DGAB−225
6
Arctii
nae|T
DGAB−203
7
Arctii
nae|T
DGAB−092
4
Arctii
nae|T
DGAB−206
3
Anom
is|Lo
pe11
−055
2
Anom
is|TD
GAB−025
7
Anom
is|Lo
pe11
−010
2
Anom
is fla
va|T
DGAB
−222
1
Anom
is|TD
GAB−1
836
Noct
uida
e|Lop
e11−
0352
Noct
uida
e|TDG
AB−1
366
Noct
uida
e|TDG
AB−0
445
Noct
uida
e|TDG
AB−2
087
Noct
uida
e|TDG
AB−0
697
Noct
uida
e|TDG
AB−0
687
Noct
uida
e|TDG
AB−0
275
Pacid
ara v
enus
tissim
a|Lop
e11−
0060
Phyt
omet
ra|T
DGAB
−011
3
Bom
byco
psis|
Lope
11−0
937
Eupr
octis
|Lop
e11−
0629
Eupr
octis
|Lop
e11−
0628
Eupr
octis
|Lop
e11−
0140
Eupr
octis
|TDG
AB−0
427
Eupr
octis
|TDG
AB−1
087
Arct
iinae
|TDG
ABb−
370
Arct
iinae
|TDG
ABb−
361
Arct
iinae
|TDG
ABb−
360
Arct
iinae
|TDG
AB−1
125
Arct
iinae
|TDG
ABb−
359
Arct
iinae
|TDG
ABb−
369
Arct
iinae
|TDG
AB−2
124
Arct
iinae
|TDG
AB−1
864
Noct
uida
e|Lop
e11−
0936
Noct
uida
e|TDG
AB−0
558
Euch
rom
ia|Lo
pe11
−080
8
Euch
rom
ia|TD
GAB−
1209
Euch
rom
ia|TD
GAB−
0612
Euch
rom
ia|TD
GAB−
0398
Euch
rom
ia|TD
GAB−
0335
Euch
rom
ia|TD
GAB−
0537
Euch
rom
ia|TD
GAB−
2353
Euch
rom
ia let
he|T
DGAB
−165
2
Euch
rom
ia let
he|T
DGAB
−120
8
Euch
rom
ia let
he|T
DGAB
−061
1
Euch
rom
ia let
he|T
DGAB
−047
6
Noct
uida
e|Lop
e11−
0649
Arct
iinae
|TDG
AB−1
960
Noct
uida
e|TDG
AB−0
430
Acon
tia tr
ansf
igur
ata|L
ope1
1−06
45
Noct
uida
e|TDG
AB−2
068
Noct
uida
e|TDG
AB−1
339
Noct
uida
e|TDG
AB−1
780
Noct
uida
e|TD
GAB−
1561
Noct
uida
e|TD
GAB−
1183
Noct
uida
e|TD
GAB−
0982
Noct
uida
e|Lo
pe11
−055
4
Noct
uida
e|TD
GAB−
1305
Noct
uida
e|TD
GAB−
1231
Noct
uida
e|TD
GAB−
2417
Noct
uida
e|TD
GAB−
2362
Noct
uida
e|TD
GAB−
1314
Noct
uida
e|TD
GAB−
1653
Noct
uida
e|Lo
pe11
−035
9
Noct
uida
e|TD
GAB−
0444
Noct
uida
e|TD
GAB−
1326
Noct
uida
e|TD
GAB−
1311
Noct
uida
e|TD
GAB−
1334
Noct
uida
e|TD
GAB−
2331
Noct
uida
e|TD
GAB−
0361
Noct
uida
e|TD
GAB−
0468
Noct
uida
e|TD
GAB−
0930
Noct
uida
e|TD
GAB−
1040
Noct
uida
e|TD
GAB−
0645
Noct
uida
e|TD
GAB−
2116
Noct
uida
e|TD
GAB−
1018
Noct
uida
e|TD
GAB−
1178
Noct
uida
e|TD
GAB−
0548
Noct
uida
e|TD
GAB−
0156
Noct
uida
e|TD
GAB−
1302
Amer
ila|L
ope1
1−06
77
Amer
ila|L
ope1
1−05
26
Amer
ila|T
DGAB
−073
0
Amer
ila|T
DGAB
−013
7
Amer
ila|T
DGAB
−000
6
Amer
ila|L
ope1
1−06
58
Amer
ila lu
teib
arba
|Lop
e11−
0524
Amer
ila lu
teib
arba
|TDG
AB−1
228
Amer
ila lu
teib
arba
|TDG
AB−0
486
Amer
ila lu
teib
arba
|TDG
AB−0
464
Amer
ila lu
teib
arba
|Lop
e11−
0342
Amer
ila lu
teib
arba
|TDG
AB−0
197
Amer
ila lu
teib
arba
|TDG
AB−0
168
Amer
ila lu
teib
arba
|TDG
AB−0
907
Amer
ila lu
teib
arba
|TDG
AB−0
409
Amer
ila lu
teib
arba
|TDG
AB−1
249
Amer
ila lu
teib
arba
|Lop
e11−
0292
Amer
ila lu
teib
arba
|TDG
AB−0
174
Amer
ila lu
teib
arba
|TDG
AB−0
637
Amer
ila lu
teib
arba
|TDG
AB−0
407
Amer
ila lu
teib
arba
|TDG
AB−0
047
Amer
ila lu
teib
arba
|TDG
AB−2
029
Amer
ila lu
teib
arba
|TDG
AB−0
046
Amer
ila lu
teib
arba
|TDG
AB−0
629
Amer
ila|T
DGAB
−171
5
Amer
ila|T
DGAB
−079
3
Amer
ila|T
DGAB
−002
0
Amer
ila|T
DGAB
−124
0
Amer
ila|T
DGAB
−122
3
Amer
ila|T
DGAB
−071
7
Amer
ila|T
DGAB
−174
0
Ereb
idae
|Lop
e11−
0608
Asot
a sp
ecio
sa|T
DGAB
b−33
7
Asot
a sp
ecio
sa|T
DGAB
−183
2
Asot
a sp
ecio
sa|T
DGAB
−168
2
Asot
a sp
ecio
sa|T
DGAB
−138
6
Asot
a sp
ecio
sa|T
DGAB
−168
1
Ereb
inae
|TDG
AB−2
373
Ereb
inae
|TDG
AB−1
536
Ereb
inae
|TDG
AB−0
160
Ereb
inae
|TDG
AB−1
804
Ereb
inae
|TDG
AB−2
196
Ereb
inae
|TDG
AB−0
521
Ereb
inae
|TDG
AB−2
190
Ereb
inae
|TDG
AB−2
121
Ereb
inae
|TDG
AB−1
057
Spilo
som
a|Lo
pe11
−065
7
Spilo
som
a|Lo
pe11
−029
0
Spilo
som
a|Lo
pe11
−028
9
Spilo
som
a|TD
GAB−
1642
Spilo
som
a|TD
GAB−
0028
Spilo
som
a|TD
GAB−
0027
Spilo
som
a|Lo
pe11
−053
4
Spilo
som
a|Lo
pe11
−017
3
Arct
iinae
|TDG
AB−2
032
Arct
iinae
|TDG
AB−2
025
Arct
iinae
|TDG
AB−0
040
Arct
iinae
|TDG
AB−1
216
Arct
iinae
|TDG
AB−0
975
Arct
iinae
|TDG
AB−0
952
Arct
iinae
|TDG
AB−1
093
Arct
iinae
|TDG
AB−1
080
Spod
opte
ra e
xem
pta|
TDG
AB−1
510
Spod
opte
ra tr
itura
ta|T
DGAB
−133
3
Spod
opte
ra tr
itura
ta|T
DGAB
−109
7
Arct
iinae
|TDG
AB−1
461
Noct
uida
e|Lo
pe11
−099
0
Noct
uida
e|Lo
pe11
−016
4
Noct
uida
e|Lo
pe11
−015
1
Noct
uida
e|Lo
pe11
−084
3
Noct
uida
e|TD
GAB
−184
9
Noct
uida
e|Lo
pe11
−005
3
Noct
uida
e|TD
GAB
−119
8
Noct
uida
e|TD
GAB
−231
7
Noct
uida
e|TD
GAB
−102
5
Noct
uida
e|TD
GAB
−109
6
Noct
uida
e|TD
GAB
−102
9
Noct
uida
e|TD
GAB
−096
5
Noct
uida
e|TD
GAB
−051
0
Noct
uida
e|TD
GAB
−017
6
Noct
uida
e|TD
GAB
−036
9
Noct
uida
e|TD
GAB
−087
2
Noct
uida
e|TD
GAB
−096
4
Noct
uida
e|TD
GAB
−097
9
Noct
uida
e|TD
GAB
−101
3
Noct
uida
e|TD
GAB
−096
3
Noct
uida
e|TD
GAB
−087
1
Noct
uida
e|Lo
pe11
−033
5
Noct
uida
e|Lo
pe11
−032
3
Noct
uida
e|TD
GAB
−239
4
Noct
uida
e|Lo
pe11
−083
6
Noct
uida
e|TD
GAB
−173
3
Noct
uida
e|Lo
pe11
−008
6
Noct
uida
e|TD
GAB
−238
6
Noct
uida
e|TD
GAB
−220
7
Noct
uida
e|Lo
pe11
−085
2
Noct
uida
e|Lo
pe11
−085
1
Xyle
nina
e|Lo
pe11
−065
0
Xyle
nina
e|Lo
pe11
−032
5
Xyle
nina
e|TD
GAB
−071
1
Xyle
nina
e|Lo
pe11
−016
5
Noct
uida
e|TD
GAB
−225
2
Noct
uida
e|TD
GAB
−197
2
Noct
uida
e|TD
GAB
−153
8
Noct
uida
e|TD
GAB
−206
0
Noct
uida
e|TD
GAB
−196
6
Laci
nipo
lia|T
DGAB
−123
3
Laci
nipo
lia|T
DGAB
−069
6
Laci
nipo
lia|T
DGAB
−080
2
Noct
uida
e|Lo
pe11
−017
5
Noct
uida
e|TD
GAB
−023
6
Noct
uida
e|TD
GAB
−132
4
Noct
uida
e|TD
GAB
−098
4
Noct
uida
e|TD
GAB
−105
5
Noct
uida
e|Lo
pe11
−000
1
Noct
uida
e|TD
GAB
−161
8
Callo
pist
ria|T
DGAB
−066
3
Brith
ys c
rini|L
ope1
1−09
45
Brith
ys c
rini|L
ope1
1−05
44
Noct
uida
e|Lo
pe11
−029
6
Noct
uida
e|TD
GAB
−221
0
Noct
uida
e|TD
GAB
−201
7
Noct
uida
e|Lo
pe11
−009
0
Noct
uida
e|TD
GAB
−056
9
Noct
uida
e|TD
GAB
−079
8
Noct
uida
e|TD
GAB
−175
7
Noct
uida
e|Lo
pe11
−017
6
Noct
uida
e|Lo
pe11
−008
9
Noct
uida
e|TD
GAB
−169
5
Noct
uida
e|TD
GAB
−153
7
Noct
uina
e|TD
GAB
−075
6
Noct
uida
e|TD
GAB
−137
6
Noct
uida
e|TD
GAB
−043
1
Earia
s|TD
GAB
−011
1
Noct
uida
e|TD
GAB
−240
0
Noct
uida
e|TD
GAB
−236
0
Noct
uida
e|TD
GAB
−060
1
Noct
uida
e|TD
GAB
−016
4
Noct
uida
e|TD
GAB
−110
3
Noct
uida
e|TD
GAB
−182
9
Noct
uida
e|TD
GAB
−082
5
Noct
uida
e|TD
GAB
−040
1
Noct
uida
e|TD
GAB
−038
8
Met
allo
spor
a|Lo
pe11
−077
4
Geo
met
ridae
|Lop
e11−
0108
Geo
met
ridae
|TDG
AB−2
230
Geo
met
ridae
|TDG
AB−0
782
Geo
met
ridae
|TDG
AB−0
422
Chry
sode
ixis
acu
ta|L
ope1
1−06
10
Chry
sode
ixis
acu
ta|L
ope1
1−00
96
Chry
sode
ixis
acu
ta|T
DGAB
−010
4
Chry
sode
ixis
acu
ta|T
DGAB
−070
2
Chry
sode
ixis
acu
ta|T
DGAB
−145
8
Chry
sode
ixis
acu
ta|T
DGAB
−184
5
Chry
sode
ixis
acu
ta|T
DGAB
−193
4
Thys
anop
lusi
a sp
olia
ta|L
ope1
1−03
24
Noct
uida
e|TD
GAB
−240
5
Noct
uida
e|TD
GAB
−193
6
Noct
uida
e|TD
GAB
−011
4
Noct
uida
e|TD
GAB
−006
0
Noct
uida
e|Lo
pe11
−082
8
Noct
uida
e|Lo
pe11
−015
7
Noct
uida
e|TD
GAB
−124
3
Noct
uida
e|TD
GAB
−051
1
Noct
uida
e|TD
GAB
−134
9
Noct
uida
e|TD
GAB
−084
5
Noct
uida
e|TD
GAB
−050
3
Noct
uida
e|TD
GAB
−215
1
Noct
uida
e|TD
GAB
−210
9
Noct
uida
e|TD
GAB
−028
9
Noct
uida
e|TD
GAB
−096
7
Noct
uida
e|TD
GAB
−204
3
Calp
inae
|TDG
AB−2
080
Calp
inae
|TDG
AB−0
274
Calp
inae
|TDG
AB−0
171
Gra
cilo
des|
TDG
AB−0
393
Noct
uida
e|Lo
pe11
−017
8
Noct
uida
e|Lo
pe11
−008
3
Noct
uida
e|TD
GAB
−200
9
Noct
uida
e|TD
GAB
−035
1
Noct
uida
e|TD
GAB
−199
0
Noct
uida
e|TD
GAB
−239
8
Noct
uida
e|TD
GAB
−199
5
Noct
uida
e|TD
GAB
−225
5
Noct
uida
e|TD
GAB
−058
6
Noct
uida
e|TD
GAB
−076
6
Noct
uida
e|TD
GAB
−029
0
Noct
uida
e|TD
GAB
−057
7No
ctui
dae|
TDG
AB−0
285
Noct
uida
e|TD
GAB
−214
5No
ctui
dae|
TDG
AB−2
117
Noct
uida
e|TD
GAB
−085
2No
ctui
dae|
TDG
AB−0
563
Noct
uida
e|TD
GAB
−007
0No
ctui
dae|
TDG
AB−1
821
Noct
uida
e|TD
GAB
−059
0No
ctui
dae|
TDG
AB−0
201
Lym
antri
inae
|Lop
e11−
0637
Lym
antri
inae
|Lop
e11−
0623
Jana
eur
ymas
|TDG
ABb−
348
Jana
MG
ABsp
2|TD
GAB
b−33
3
Dasy
chira
|Lop
e11−
0136
Dasy
chira
|Lop
e11−
0130
Aedi
inae
|Lop
e11−
0300
Lym
antri
inae
|TDG
AB−2
002
Lym
antri
inae
|TDG
AB−1
138
Lym
antri
inae
|TDG
AB−0
328
Noct
uida
e|Lo
pe11
−060
7No
ctui
dae|
Lope
11−0
059
Noct
uida
e|TD
GAB
−237
4No
ctui
dae|
TDG
AB−2
208
Noct
uida
e|TD
GAB
−084
9No
ctui
dae|
TDG
AB−2
225
Noct
uida
e|TD
GAB
−111
9No
ctui
dae|
TDG
AB−1
285
Noct
uida
e|TD
GAB
−234
2No
ctui
dae|
TDG
AB−0
655
Noct
uida
e|TD
GAB
−158
9No
ctui
dae|
TDG
AB−0
509
Noct
uida
e|TD
GAB
−155
6No
ctui
dae|
TDG
AB−1
325
Noct
uida
e|TD
GAB
−006
9No
ctui
dae|
TDG
AB−1
298
Noct
uida
e|TD
GAB
−124
2No
ctui
dae|
TDG
AB−1
180
Ereb
inae
|Lop
e11−
0982
Ereb
inae
|TDG
AB−1
690
Ereb
inae
|Lop
e11−
0920
Ereb
inae
|Lop
e11−
0871
Ereb
inae
|TD
GA
B−1
888
Ereb
inae
|TD
GA
B−1
892
Ereb
inae
|Lop
e11−
0615
Ereb
inae
|Lop
e11−
0057
Ereb
inae
|Lop
e11−
0913
Ereb
inae
|Lop
e11−
0594
Ereb
inae
|TD
GA
B−1
885
Ereb
inae
|TD
GA
B−1
581
Ereb
inae
|TD
GA
B−1
719
Ereb
inae
|TD
GA
B−1
350
Ereb
inae
|Lop
e11−
08681002−
BA
GDT|eaniberE
7421−B
AG
DT|eaniberEEreb
inae
|TD
GA
B−0
933
Ereb
inae
|TD
GA
B−0
9013090−11epoL|eaniberE8151−
BA
GDT|eaniberE
9980−B
AG
DT|eaniberE5551−
BA
GDT|eaniberE
0060−11epoL|eaniberE6580−
BA
GDT|eaniberE
6510−11epoL|eaniberE7202−
BA
GDT|suberE
4351−B
AG
DT|eaniberE6780−11epoL|eaniberE2380−
BA
GDT|eaniberE
4320−B
AG
DT|eaniberE8510−
BA
GDT|eaniberE
3880−B
AG
DT|eaniberE6850−11epoL|eaniberE9312−
BA
GDT|eaniberE
2891−B
AG
DT|eaniberE3400−11epoL|eaniberE7381−
BA
GDT|eaniberE
4580−B
AG
DT|eaniberE9790−11epoL|eaniberE2490−11epoL|eaniberEEr
ebin
ae|T
DG
AB
−071
8Er
ebin
ae|L
ope1
1−09
06Er
ebin
ae|L
ope1
1−04
47Erebinae|Lope11−0932Erebinae|Lope11−0100Erebinae|TD
GA
B−194764
91−
BA
GDT
|ean
iber
E73
91−
BA
GDT
|ean
iber
E12
91−
BA
GDT
|ean
iber
E58
61−
BA
GDT
|ean
iber
E73
00−
BA
GDT
|ean
iber
E12
00−
BA
GDT
|ean
iber
E53
51−
BA
GDT
|ean
iber
E15
00−
BA
GDT
|ean
iber
E05
51−
BA
GDT
|ean
iber
E49
51−
BA
GDT
|ean
iber
E72
90−
BA
GDT
|ean
iber
E08
70−
BA
GDT
|ean
iber
EErebinae|TDG
AB
−0808Erebinae|TD
GA
B−0812
Erebinae|TDG
AB
−0882Erebinae|TD
GA
B−1388
Erebinae|TDG
AB
−1516Erebinae|TD
GA
B−166188
51−
BA
GDT
|ean
iber
E87
51−
BA
GDT
|ean
iber
EErebinae|TDG
AB
−1533Erebinae|TD
GA
B−1212
Erebinae|TDG
AB
−0941Erebinae|TD
GA
B−0806
Erebinae|TDG
AB
−1244Erebinae|Lope11−0592Erebinae|TD
GA
B−1419
Erebinae|TDG
AB
−0140Erebinae|Lope11−0874Erebinae|TD
GA
B−1924
Erebinae|Lope11−0873Erebinae|TD
GA
B−1745
Erebinae|TDG
AB
−1344Erebinae|TD
GA
B−1891
Erebinae|TDG
AB
−1363Erebinae|Lope11−0440Erebinae|TD
GA
B−1248
Erebinae|TDGAB−0835
Erebinae|TDGAB−1897
Ogovia|Lope11−0922
Ogovia|Lope11−0911
Ogovia|TDG
AB−0339O
govia pudens|Lope11−0919O
govia pudens|Lope11−0915O
govia pudens|TDGAB−1938
Ogovia pudens|Lope11−0593
Ogovia pudens|TDG
AB−2155O
govia pudens|TDGAB−2020
Ogovia pudens|TDG
AB−1925O
govia pudens|TDGAB−1908
Ogovia pudens|TDG
AB−1901O
govia pudens|TDGAB−1878
Ogovia pudens|TDG
AB−1818O
govia pudens|TDGAB−1734
Ogovia pudens|TDG
AB−1732O
govia pudens|TDGAB−1714
Ogovia pudens|TDG
AB−1713O
govia pudens|TDGAB−1704
Ogovia pudens|TDG
AB−1687O
govia pudens|TDGAB−1640
Ogovia pudens|TDG
AB−1636O
govia pudens|TDGAB−1610
Ogovia pudens|TDG
AB−1517O
govia pudens|TDGAB−1508
Ogovia pudens|TDG
AB−1476O
govia pudens|TDGAB−1471
Ogovia pudens|TDG
AB−1417
Ogovia pudens|TDG
AB−1396
Ogovia pudens|TDG
AB−1389
Ogovia pudens|TDG
AB−1378
Ogovia pudens|TDG
AB−1361
Ogovia pudens|TDG
AB−1346
Ogovia pudens|TDG
AB−1250
Ogovia pudens|TDG
AB−1047
Ogovia pudens|TDG
AB−0959
Ogovia pudens|TDG
AB−0911
Ogovia pudens|TDG
AB−0902
Ogovia pudens|TDG
AB−0895
Ogovia pudens|TDG
AB−0834
Ogovia pudens|TDG
AB−0772
Ogovia pudens|TDG
AB−0575
Ogovia pudens|TDG
AB−0520
Ogovia pudens|TDG
AB−0125
Ogovia pudens|TDG
AB−0057
Ogovia pudens|TDG
AB−0048
Ogovia pudens|TDG
AB−0033
Ogovia pudens|TDG
AB−1580
Ogovia pudens|TDG
AB−1318
Ogovia pudens|TDG
AB−0053
Ogovia pudens|TDG
AB−1394
Ogovia pudens|TDG
AB−1515
Ogovia pudens|TDG
AB−1586
Ogovia pudens|TDG
AB−1633
Ogovia pudens|TDG
AB−1803
Ogovia pudens|TDG
AB−1703
Ogovia pudens|TDG
AB−1691
Ogovia pudens|TDG
AB−0909
Ogovia pudens|TDG
AB−1168
Ogovia pudens|TDG
AB−1373
Ogovia pudens|TDG
AB−1486
Ogovia pudens|TDG
AB−1898
Ogovia pudens|TDG
AB−1648
Ogovia pudens|TDG
AB−1255
Ogovia pudens|TDG
AB−0035
Ogovia pudens|TDG
AB−1128
Ogovia pudens|TDG
AB−1559
Ogovia pudens|TDG
AB−1558
Ogovia pudens|TDG
AB−1319
Ogovia pudens|TDG
AB−1032
Ogovia pudens|TDG
AB−1723
Ogovia pudens|TDG
AB−1830
Ogovia pudens|TDG
AB−1557
Ogovia pudens|TDG
AB−0914
Erebinae|Lope11−0917
Erebinae|Lope11−0591
Erebinae|Lope11−0162
Erebinae|TDGAB−1989
Erebinae|TDGAB−0900
Erebinae|TDGABb−342
Erebinae|TDGAB−1913
Erebinae|TDGAB−1755
Erebinae|TDGAB−1355
Erebinae|TDGAB−1390
Erebinae|TDGAB−1912
Erebinae|TDGAB−0764
Erebinae|TDGAB−1583
Erebinae|TDGAB−2364
Erebinae|TDGAB−2321
Erebinae|TDGAB−0368
Erebinae|TDGAB−0347
Erebinae|TDGAB−2311
Erebinae|TDGAB−2131
Erebinae|TDGAB−2012
Erebinae|TDGAB−2011
Erebinae|TDGAB−1306
Erebinae|TDGAB−0581
Erebinae|TDGAB−2191
Erebinae|TDGAB−0278
Erebinae|TDGAB−0519
Erebinae|TDGAB−2005
Erebinae|TDGAB−1985
Erebinae|TDGAB−0346
Erebinae|TDGAB−1059
Erebinae|TDGAB−1874
Erebinae|TDGAB−1601
Erebinae|TDGAB−1828
Erebinae|TDGAB−1784
Erebinae|TDGAB−1863
Erebinae|TDGAB−1819
Erebinae|TDGAB−1387
Erebinae|TDGAB−0724
Erebinae|TDGAB−0045
Erebinae|TDGAB−0009
Erebinae|TDGAB−1600
Erebinae|TDGAB−1582
Erebinae|TDGAB−1455
Erebinae|TDGAB−0811
Erebinae|Lope11−0445
Erebinae|Lope11−0599
Erebinae|Lope11−0588
Erebinae|Lope11−0190
Erebinae|TDGAB−2244
Erebinae|TDGAB−1273
Erebinae|TDGAB−0866
Erebinae|TDGAB−0598
Erebinae|Lope11−0450
Erebinae|TDGABb−327
Erebinae|Lope11−0155
Erebinae|TDGAB−2264
Erebinae|Lope11−0510
Erebinae|Lope11−0505
Erebinae|TDGAB−1372
Erebinae|Lope11−0072
Erebinae|TDGAB−0012
Erebinae|TDGAB−1621
Erebinae|TDGAB−0447
Mocis conveniens|TDG
AB−2044
Erebinae|TDGAB−1668
Erebinae|TDGAB−1186
Ericeia inangulata|Lope11−0938
Ericeia inangulata|TDGAB−0892
Amphipyrinae|TDG
AB−1911
Amphipyrinae|TDG
AB−0707
Amphipyrinae|TDG
AB−1809
Amphipyrinae|TDG
AB−1477
Amphipyrinae|TDG
AB−1428
Amphipyrinae|TDG
AB−1385
Amphipyrinae|TDG
AB−1362
Amphipyrinae|TDG
AB−1729
Amphipyrinae|TDG
AB−1725
Amphipyrinae|TDG
AB−0148
Amphipyrinae|TDG
AB−1565
Amphipyrinae|TDG
AB−0259
Amphipyrinae|TDG
AB−0301
Amphipyrinae|TDG
AB−1422
Amphipyrinae|TDG
AB−1424
Amphipyrinae|TDG
AB−1444
Amphipyrinae|TDG
AB−1528
Marcipa|Lope11−0380
Marcipa|TDG
AB−1148
Marcipa|TDG
AB−0405
Marcipa|TDG
AB−1353
Marcipa|TDG
AB−1292
Marcipa|TDG
AB−1170
Marcipa|TDG
AB−1271
Marcipa|TDG
AB−0497
Marcipa|TDG
AB−2248
Marcipa|Lope11−0308
Marcipa|TDG
AB−1408
Marcipa|TDG
AB−0987
Marcipa|Lope11−0341
Marcipa|TDG
AB−0244
Marcipa|TDGAB−1205
Marcipa|TDGAB−2298
Marcipa|TDGAB−0211
Marcipa|TDGAB−0956
Marcipa|TDGAB−2081
Marcipa|TDGAB−0416
Marcipa|TDGAB−0237
Marcipa|TDGAB−1525
Marcipa|TDGAB−0673
Marcipa|TDGAB−0670
Marcipa|Lope11−0092
Marcipa|TDGAB−1230
Marcipa|TDGAB−0150
Marcipa|TDGAB−1847
Marcipa|TDGAB−1566
Marcipa|TDGAB−0715
Marcipa|TDGAB−0657
Marcipa|TDGAB−1604
Marcipa|TDGAB−1459
Marcipa|TDGAB−1587
Marcipa|TDGAB−0649
Marcipa|TDGAB−0779
Marcipa|TDGAB−0646
Marcipa|TDGAB−0726
Marcipa|TDGAB−1554
Marcipa|TDGAB−1957
Marcipa|TDGAB−1014
Marcipa|TDGAB−1308
Marcipa|TDGAB−1577
Marcipa|TDGAB−1882
Notodontidae|TDGAB−1190
Noctuidae|Lope11−0643
Noctuidae|Lope11−0597
Noctuidae|Lope11−0004
Noctuidae|TDGAB−2126
Noctuidae|TDGAB−1628
Noctuidae|TDGAB−0713
Noctuidae|TDGAB−1553
Noctuidae|Lope11−0613
Noctuidae|TDGAB−0298
Noctuidae|TDGAB−0630
Noctuidae|TDGAB−0810
Noctuidae|TDGAB−2215
Noctuidae|TDGAB−2053
Noctuidae|Lope11−0603
Noctuidae|Lope11−0609
Noctuidae|TDGAB−2113
Noctuidae|Lope11−0611
Noctuidae|Lope11−0088
Noctuidae|Lope11−0598
Noctuidae|TDGAB−1281
Noctuidae|TDGAB−1016
Noctuidae|Lope11−0334
Noctuidae|TDGAB−1643
Schausia|Lope11−0601
Schausia|TDGAB−0349
Schausia|TDGAB−1414
Agaristinae|TDGAB−2138
Schausia|TDGAB−0876
Schausia|TDGAB−0429
Schausia|TDGAB−0181
Agaristinae|Lope11−0519
Agaristinae|TDGAB−1971
Agaristinae|TDGAB−0917
Amphipyrinae|TDGAB−2257
Amphipyrinae|TDGAB−0441
Amphipyrinae|TDGAB−1201
Amphipyrinae|TDGAB−0313
Auchenisa|TDGAB−0761
Amphipyrinae|TDGAB−0203
Utetheisa|TDGAB−1749
Noctuidae|Lope11−0587
Noctuidae|TDGAB−1932
Noctuidae|TDGAB−1718
Noctuidae|TDGAB−1629
Noctuidae|TDGAB−1548
Noctuidae|TDGAB−1539
Noctuidae|TDGAB−0089
Noctuidae|TDGAB−0098
Noctuidae|TDGAB−0758
Noctuidae|TDGAB−0064
Noctuidae|TDGAB−0243
Noctuidae|Lope11−0486
Noctuidae|TDGAB−0571
Noctuidae|Lope11−0376
Noctuidae|TDGAB−2416
Noctuidae|TDGAB−2397
Noctuidae|TDGAB−1165
Noctuidae|TDGAB−1263
Noctuidae|TDGAB−2074
Noctuidae|TDGAB−1077
Erebinae|Lope11−0916
Erebinae|Lope11−0912
Erebinae|TDGAB−0141
Erebinae|TDGAB−2000
Erebinae|Lope11−0087
Erebinae|TDGAB−2299
Erebinae|TDGAB−2004
Erebinae|TDGAB−0564
Erebinae|TDGAB−0183
Erebinae|TDGAB−0397
Erebinae|Lope11−0301
Erebinae|Lope11−0606
Erebinae|Lope11−0135
Erebinae|TDGAB−0913
Erebinae|Lope11−0129
Erebinae|TDGAB−0552
Erebinae|Lope11−0080
Erebinae|TDGAB−1114
Erebinae|TDGAB−2136
Erebinae|TDGAB−1142
Erebinae|TDGAB−0528
Erebinae|TDGAB−0487
Erebinae|TDGAB−0332
Erebinae|TDGAB−1117
Erebinae|TDGAB−0522
Erebinae|TDGAB−0378
Hypocala|Lope11−0655
Hypocala|TDGAB−1903
Hypocala|TDGAB−1870
Hypocala|TDGAB−1859
Hypocala|TDGAB−1770
Hypocala|TDGAB−1677
Hypocala|TDGAB−1645
Hypocala|TDGAB−1595
Hypocala|TDGAB−0722
Hypocala|TDGAB−0080
Hypocala|TDGAB−0807
Hypocala|TDGAB−1343
Hypocala|TDGAB−1345
Hypocala|TDGAB−1552
Hypocala|TDGAB−0044
Hypocala|TDGAB−1644
Hypocala|TDGAB−1807
Hypocala|TDGAB−1364
Hypsoropha|Lope11−0441
Hypsoropha|Lope11−0139
Eudocima|TDGABb−326
Eudocima|TDGAB−1669
Hypena|TDGAB−2283
Hypena|TDGAB−1293
Hypena|TDGAB−0572
Hypena|TDGAB−0408
Hypena|TDGAB−0179
Hypena|TDGAB−0360
Noctuidae|Lope11−0841
Noctuidae|Lope11−0172
Noctuidae|TDGAB−1224
Noctuidae|Lope11−0604
Noctuidae|Lope11−0181
Noctuidae|Lope11−0179
Noctuidae|Lope11−0718
Noctuidae|TDGAB−0071
Noctuidae|TDGAB−1693
Noctuidae|TDGAB−2127
Noctuidae|TDGAB−0250
Noctuidae|TDGAB−1983
Noctuidae|TDGAB−0337
Noctuidae|TDGAB−0043
Noctuidae|TDGAB−1674
Noctuidae|Lope11−0612
Noctuidae|TDGAB−2046
Noctuidae|TDGAB−0443
Noctuidae|Lope11−0618
Noctuidae|TDGAB−0109
Noctuidae|Lope11−0377
Noctuidae|TDGAB−0032
Noctuidae|TDGAB−0304
Noctuidae|TDGAB−0121
Noctuidae|Lope11−0340
Noctuidae|TDGAB−2106
Noctuidae|TDGAB−1264
Erebinae|Lope11−0872
Erebinae|TDGAB−1772
Erebinae|TDGAB−2423
Antiophlebia|Lope11−0784
Antiophlebia|TDGAB−1758
Antiophlebia|Lope11−0097
Noctuidae|Lope11−0614
Noctuidae|Lope11−0337
Noctuidae|Lope11−0347
Noctuidae|Lope11−0168
Noctuidae|Lope11−0018
Noctuidae|Lope11−0149
Noctuidae|TDGAB−0418
Noctuidae|TDGAB−0256
Noctuidae|TDGAB−0666
Noctuidae|TDGAB−1041
Noctuidae|TDGAB−1006
Noctuidae|TDGAB−0199
Noctuidae|Lope11−0368
Noctuidae|Lope11−0298
Noctuidae|TDGAB−0545
Noctuidae|TDGAB−1654
Noctuidae|TDGAB−1544
Noctuidae|TDGAB−0515
Noctuidae|TDGAB−0095
Noctuidae|Lope11−0929
Soloella|Lope11−0529
Soloella|Lope11−0291
Noctuidae|TDGAB−2202
Noctuidae|TDGAB−0570
Anapisa|Lope11−0832
Anapisa|TDGAB−0435
Anapisa monotica|Lope11−0364
Anapisa monotica|Lope11−0153
Tuerta|TDGAB−0605
Tuerta|TDGAB−0266
Noctuidae|Lope11−0842
Noctuidae|Lope11−0546
Noctuidae|TDGAB−0731
Noctuidae|TDGAB−1316
Noctuidae|TDGAB−0241
Noctuidae|Lope11−0145
Noctuidae|Lope11−0326
Noctuidae|Lope11−0304
Arctiinae|Lope11−0824
Arctiinae|TDGAB−2007
Arctiinae|Lope11−0333
Arctiinae|TDGAB−0321
Arctiinae|TDGAB−2031
Arctiinae|TDGAB−1282
Arctiinae|TDGAB−0918
Arctiinae|TDGAB−2057
Arctiinae|TDGAB−0739
Arctiinae|TDGAB−2427
Arctiinae|TDGAB−0319
Arctiinae|TDGAB−0299
Arctiinae|TDGAB−1564
Arctiinae|TDGAB−1284
Arctiinae|TDGAB−0458
Arctiinae|TDGAB−0457
Arctiinae|TDGAB−0425
Arctiinae|TDGAB−0322
Arctiinae|TDGAB−2076
Arctiinae|TDGAB−0512
Arctiinae|TDGAB−0442
Arctiinae|TDGAB−0320
Arctiinae|TDGAB−0314
Arctiinae|TDGAB−2189
Arctiinae|TDGAB−2395
Arctiinae|TDGAB−0326
Arctiinae|TDGAB−0547
Arctiinae|Lope11−0361
Arctiinae|Lope11−0316
Arctiinae|TDGAB−2390
Arctiinae|TDGAB−2213
Arctiinae|TDGAB−1215
Arctiinae|TDGAB−1213
Arctiinae|TDGAB−0932
Arctiinae|TDGAB−1000
Arctiinae|TDGAB−0305
Manulea|Lope11−0541
Manulea|Lope11−0517
Manulea|Lope11−0378
Manulea|TDGAB−0086
Manulea|TDGAB−0677
Manulea|TDGAB−2261
Manulea|TDGAB−2170
Manulea|TDGAB−2038
Manulea|TDGAB−1763
Manulea|TDGAB−1728
Manulea|TDGAB−1498
Manulea|TDGAB−1260
Manulea|TDGAB−0923
Manulea|TDGAB−0765
Manulea|TDGAB−0753
Manulea|TDGAB−0736
Manulea|TDGAB−0689
Manulea|TDGAB−0310
Manulea|TDGAB−0931
Manulea|TDGAB−0276
Manulea|TDGAB−1673
Manulea|TDGAB−2201
Manulea|TDGAB−2110
Manulea|TDGAB−1800
Manulea|TDGAB−1756
Manulea|TDGAB−1649
Manulea|TDGAB−1639
Manulea|TDGAB−1288
Manulea|TDGAB−0258
Manulea|TDGAB−0690
Manulea|TDGAB−0691
Manulea|TDGAB−0694
Manulea|TDGAB−0743
Manulea|TDGAB−0775
Manulea|TDGAB−0809
Manulea|TDGAB−1450
Manulea|TDGAB−1568
Manulea|TDGAB−0774
Manulea|TDGAB−0345
Manulea|TDGAB−1634
Manulea|TDGAB−1356
Manulea|TDGAB−0922
Manulea|TDGAB−0791
Manulea|TDGAB−0740
Manulea|TDGAB−0693
Manulea|TDGAB−1377
Manulea|TDGAB−0873
Manulea|TDGAB−0745
Manulea|TDGAB−0692
Manulea|TDGAB−0342
Manulea|TDGAB−0424
Manulea|TDGAB−0264
Arctiinae|TDGAB−2409
Arctiinae|TDGAB−2352
Arctiinae|TDGAB−1500
Arctiinae|TDGAB−1266
Arctiinae|TDGAB−2332
Arctiinae|TDGAB−1611
Arctiinae|TDGAB−2356
Arctiinae|TDGAB−0327
Arctiinae|TDGAB−2239
Arctiinae|TDGAB−2171
Arctiinae|TDGAB−0440
Arctiinae|TDGAB−2431
Arctiinae|TDGAB−0928
Arctiinae|TDGAB−2108
Arctiinae|TDGAB−2420
Arctiinae|TDGAB−2426
Arctiinae|TDGAB−1054
Arctiinae|TDGAB−0324
Arctiinae|TDGAB−2403
Arctiinae|TDGAB−0270
Arctiinae|TDGAB−2265
Arctiinae|TDGAB−1074
Arctiinae|TDGAB−0972
Arctiinae|TDGAB−2078
Arctiinae|TDGAB−0300
Arctiinae|TDGAB−0449
Arctiinae|TDGAB−2077
Arctiinae|TDGAB−0325
Arctiinae|TDGAB−0323
Herminiinae|TDGAB−2065
Herminiinae|TDGAB−1312
Caryatis|TDGAB−2015
Lepidoptera|Lope11−0641
Lepidoptera|TDGAB−1754
Lepidoptera|TDGAB−1571
Chiromachla|Lope11−0443
Lymantriinae|TDGAB−2388
Cyana|Lope11−0536
Cyana|TDGAB−0417
Cyana|TDGAB−0189
Cyana|Lope11−0531
Cyana|Lope11−0146
Cyana|TDGAB−2019
Cyana|TDGAB−0981
Cyana|TDGAB−2339
Cyana|TDGAB−0560
Cyana|TDGAB−0517
Cyana|TDGAB−2128
Cyana|TDGAB−2174
Cyana|TDGAB−0830
Cyana|Lope11−0379
Cyana|TDGAB−1791
Cyana|TDGAB−1773
Arctiinae|Lope11−0803
Erebidae|TDGAB−2179
Erebidae|TDGAB−0452
Noctuidae|TDGAB−2328
Noctuidae|TDGAB−0387
Noctuidae|TDGAB−0182
Erebidae|TDGAB−2275
Erebidae|TDGAB−2093
Rhypopteryx UD003|Lope11−0818
Rhypopteryx UD003|Lope11−0811
Rhypopteryx UD001|Lope11−0790
Rhypopteryx UD003|Lope11−0786
Rhypopteryx|TDGAB−1905
Rhypopteryx|TDGAB−1786
Rhypopteryx|TDGAB−0499
Rhypopteryx|TDGAB−0438
Rhypopteryx UD002|Lope11−0812
Rhypopteryx UD002|Lope11−0810
Rhypopteryx|TDGAB−0331
Stracena venosa|Lope11−0056
Stracena UD001|Lope11−0633
Stracena|Lope11−0349
Stracena|TDGAB−1768
Stracena UD002|TDGAB−2334
Stracena|TDGAB−2114
Stracena|TDGAB−2302
Stracena|TDGAB−2245
Stracena|TDGAB−1141
Leucoma|Lope11−0106
Lymantriinae|TDGAB−1623
Lymantriinae|TDGAB−1457
Lymantriinae|TDGAB−1421
Lymantriinae|TDGAB−0705
Lymantria vacillans|TDGAB−1994
Lymantria vacillans|TDGAB−1317
Lymantria vacillans|TDGAB−1134
Lymantria vacillans|TDGAB−0829
Lymantria vacillans|TDGAB−0479
Lymantria vacillans|TDGAB−0175
Leucoma luteipes|Lope11−0635
Leucoma|TDGAB−2295
Leucoma|TDGAB−0295
Leucoma|TDGAB−2214
Leucoma|TDGAB−0573
Leucoma|TDGAB−0253
Leucoma|TDGAB−2430
Leucoma|TDGAB−2399
Leucoma|TDGAB−1181
Leucoma|TDGAB−1066
Leucoma|TDGAB−0973
Leucoma|TDGAB−0896
Leucoma|TDGAB−0195
Leucoma|TDGAB−2413
Leucoma|TDGAB−2175
Leucoma|TDGAB−0583
Leucoma|TDGAB−2160
Leucoma|TDGAB−0953
Leucoma|TDGAB−0877
Leucoma|TDGAB−2340
Leucoma|TDGAB−1067
Leucoma|TDGAB−1064
Leucoma|TDGAB−0978
Leucoma|TDGAB−2219
Leucoma|TDGAB−2173
Leucoma|TDGAB−2292
Leucoma|TDGAB−1150
Leucoma|TDGAB−0955
Leucoma|TDGAB−2341
Leucoma|TDGAB−2030
Leucoma|TDGAB−1127
Leucoma|TDGAB−1062
Leucoma|TDGAB−1063
Leucoma|TDGAB−0466
Leucoma|TDGAB−0163
Leucoma|TDGAB−0279
Leucoma|TDGAB−1987
Leucoma|TDGAB−1129
Leucoma|TDGAB−1065
Leucoma|TDGAB−1061
Leucoma|TDGAB−0912
Dasychira statheuta|Lope11−0066
Dasychira statheuta|TDGAB−2315
Lymantriinae|TDGAB−2018
Lymantriinae|TDGAB−0350
Lymantriinae|TDGAB−2064
Lymantriinae|TDGAB−0184
Lymantriinae|TDGAB−0217
Lymantriinae|TDGAB−0245
Lymantriinae|TDGAB−0281
Lymantriinae|TDGAB−0420
Lymantriinae|TDGAB−0432
Lymantriinae|TDGAB−0514
Lymantriinae|TDGAB−0291
Lymantriinae|TDGAB−0251
Lymantriinae|TDGAB−0240
Lymantriinae|TDGAB−0561
Lymantriinae|TDGAB−0426
Lymantriinae|TDGAB−0204
Lymantriinae|TDGAB−0218
Lymantriinae|TDGAB−0556
Lymantriinae|TDGAB−0448
Lymantriinae|TDGAB−0219
Lymantriinae|TDGAB−0242
Lymantriinae|TDGAB−0215
Lymantriinae|TDGAB−0216
Lymantriinae|TDGAB−0177
Arctiinae|Lope11−0809
Arctiinae|TDGAB−0102
Arctiinae|TDGAB−0659
Arctiinae|TDGAB−1774
Arctiinae|TDGAB−2220
Arctiinae|TDGAB−1348
Arctiinae|TDGAB−0606
Arctiinae|TDGAB−0312
Arctiinae|TDGAB−2052
Arctiinae|TDGAB−0916
Arctiinae|TDGAB−1072
Arctiinae|TDGAB−2433
Arctiinae|TDGAB−2424
Arctiinae|TDGAB−2391
Arctiinae|TDGAB−1547
Arctiinae|TDGAB−0316
Arctiinae|TDGAB−1439
Arctiinae|TDGAB−1978
Arctiinae|TDGAB−2058
Arctiinae|TDGAB−2367
Arctiinae|TDGAB−1627
Arctiinae|TDGAB−2263
Arctiinae|TDGAB−0783
Arctiinae|TDGAB−1546
Arctiinae|TDGAB−0317
Arctiinae|TDGAB−1762
Arctiinae|TDGAB−2259
Arctiinae|TDGAB−1218
Arctiinae|TDGAB−1567
Arctiinae|TDGAB−1416
Arctiinae|TDGAB−0664
Arctiinae|TDGAB−0306
Arctiinae|TDGAB−1357
Arctiinae|TDGAB−2262
Arctiinae|TDGAB−1801
Arctiinae|TDGAB−2411
Arctiinae|TDGAB−2378
Arctiinae|TDGAB−2325
Arctiinae|TDGAB−2203
Arctiinae|TDGAB−2095
Arctiinae|TDGAB−2055
Arctiinae|TDGAB−2371
Arctiinae|TDGAB−2274
Arctiinae|TDGAB−2075
Arctiinae|TDGAB−0784
Arctiinae|TDGAB−0318
Arctiinae|TDGAB−0500
Arctiinae|Lope11−0516
Arctiinae|TDGAB−2434
Arctiinae|TDGAB−2370
Arctiinae|TDGAB−1217
Arctiinae|TDGAB−1232
Arctiinae|TDGAB−2309
Arctiinae|TDGAB−2381
Arctiinae|TDGAB−2366
Arctiinae|TDGAB−2365
Arctiinae|TDGAB−0456
Arctiinae|TDGAB−1085
Arctiinae|TDGAB−1219
Arctiinae|TDGAB−0742
Noctuidae|TDGAB−2273
Amphipyrinae|TDGAB−0207
Noctuidae|Lope11−0487
Noctuidae|Lope11−0343
Noctuidae|TDGAB−1529
Noctuidae|TDGAB−0672
Noctuidae|Lope11−0480
Noctuidae|Lope11−0367
Noctuidae|TDGAB−1599
Noctuidae|TDGAB−2236
Noctuidae|TDGAB−0446
Noctuidae|TDGAB−0209
Lepidoptera|TDGAB−0867
Pardasena|TDGAB−0112
Noctuidae|Lope11−0918
Noctuidae|TDGAB−0894
Noctuidae|Lope11−0052
Noctuidae|TDGAB−2396
Noctuidae|TDGAB−1046
Noctuidae|TDGAB−0235
Noctuidae|TDGAB−0591
Noctuidae|TDGAB−2389
Noctuidae|TDGAB−2237
Noctuidae|TDGAB−2231
Noctuidae|TDGAB−2152
Noctuidae|TDGAB−0249
Noctuidae|TDGAB−0395
Noctuidae|TDGAB−0544
Noctuidae|TDGAB−2289Arctiinae|TDGAB−1327
Notodontidae|TDGAB−1295
Epiphora ploetzi|TDGABb−284
Epiphora rectifascia|TDGABb−274
Epiphora albida|TDGABb−261
Notodontidae|TDGAB−1267
Geometridae|TDGAB−2066Crambidae|TDGAB−1814
Lepidoptera|TDGAB−2054
Lymantriinae|TDGAB−1197
Lymantriinae|TDGAB−0929
Orthogonioptilum|Lope11−0897
Orthogonioptilum|Lope11−0435
Orthogonioptilum|Lope11−0433
Orthogonioptilum|Lope11−0893
Orthogonioptilum|TDGABb−0195
Orthogonioptilum|Lope11−0434
Orthogonioptilum|Lope11−0432
Orthogonioptilum|Lope11−0429
Orthogonioptilum|Lope11−0426
Orthogonioptilum|Lope11−0425
Orthogonioptilum|TDGABb−228
Orthogonioptilum|TDGABb−0203
Orthogonioptilum|TDGABb−0201
Orthogonioptilum|TDGABb−0193
Orthogonioptilum|TDGABb−0194
Orthogonioptilum|TDGABb−0200
Orthogonioptilum|TDGABb−0198
Orthogonioptilum|TDGABb−0199
Orthogonioptilum|TDGABb−0204
Orthogonioptilum|TDGABb−0205Orthogonioptilum|TDGABb−216Orthogonioptilum|TDGABb−217Orthogonioptilum|TDGABb−220Orthogonioptilum|TDGABb−221Orthogonioptilum|TDGABb−225Orthogonioptilum|Lope11−0430Orthogonioptilum|Lope11−0892Orthogonioptilum|Lope11−0887Orthogonioptilum|Lope11−0885Orthogonioptilum|Lope11−0884Orthogonioptilum|Lope11−0437Orthogonioptilum|Lope11−0436Orthogonioptilum|Lope11−0684Orthogonioptilum|Lope11−0683Orthogonioptilum|Lope11−0682Orthogonioptilum|Lope11−0681Orthogonioptilum|Lope11−0883Orthogonioptilum|Lope11−0882Orthogonioptilum|Lope11−0881Orthogonioptilum|Lope11−0685Orthogonioptilum|TDGABb−224Orthogonioptilum|TDGABb−215
Orthogonioptilum|TDGABb−0197Orthogonioptilum|TDGABb−223
Orthogonioptilum|TDGABb−0196Orthogonioptilum|TDGABb−226Orthogonioptilum|TDGABb−222Orthogonioptilum|TDGABb−218
Orthogonioptilum luminosum|Lope11−0875Orthogonioptilum luminosum|Lope11−0431Orthogonioptilum luminosum|TDGABb−230Orthogonioptilum luminosum|TDGABb−229Orthogonioptilum luminosum|TDGABb−231Orthogonioptilum violascens|Lope11−0878Orthogonioptilum violascens|TDGABb−219
Orthogonioptilum vestigiatum|TDGABb−264Orthogonioptilum vestigiatum|TDGABb−262Orthogonioptilum vestigiatum|TDGABb−263
Carnegia mirabilis|TDGABb−213Carnegia mirabilis|TDGABb−212
Carnegia mirabilis|TDGABb−0206Carnegia mirabilis|TDGABb−209Carnegia mirabilis|TDGABb−211Micragone neonubifera|Lope11−0886Micragone neonubifera|Lope11−0686Micragone neonubifera|TDGABb−249Micragone neonubifera|TDGABb−247Micragone neonubifera|TDGABb−248Micragone neonubifera|TDGABb−246Micragone neonubifera|TDGABb−245Micragone neonubifera|TDGABb−244Micragone agathylla|TDGABb−227Micragone agathylla|TDGABb−0192Micragone agathylla|TDGABb−0191Micragone agathylla|TDGABb−0190Micragone lichenodes|TDGABb−243Micragone lichenodes|TDGABb−242Micragone lichenodes|TDGAB−2429Micragone lichenodes|TDGAB−1751Dogoia mgab sp. 1|TDGABb−253Dogoia mgab sp. 1|TDGABb−252Dogoia mgab sp. 1|TDGABb−251Dogoia mgab sp. 1|TDGABb−250Dogoia obscuripennis|TDGABb−233Dogoia obscuripennis|TDGABb−232Goodia falcata|TDGABb−241Goodia falcata|TDGABb−240Goodia falcata|TDGABb−239Goodia falcata|TDGABb−238Goodia falcata|TDGABb−237Stenoglene|Lope11−0126Stenoglene|Lope11−0125Stenoglene fouassini|TDGAB−0891Stenoglene MGABsp3|TDGABb−315Stenoglene maculifera|TDGABb−364Stenoglene maculifera|TDGABb−362Stenoglene maculifera|TDGABb−336Stenoglene bimaculatus|TDGABb−363Epijana lanosa|TDGABb−319Noctuidae|Lope11−0093Acrojana MGABsp1|TDGABb−346Acrojana MGABsp1|TDGABb−343Acrojana MGABsp2|TDGABb−324Holocerina angulata|TDGABb−236Holocerina angulata|TDGABb−235Holocerina angulata|TDGABb−234Dactyloceras lucina|TDGABb−386Dactyloceras lucina|TDGABb−383Dactyloceras lucina|TDGABb−384Dactyloceras lucina|TDGABb−385Micragone joiceyi|TDGAB−1656
Cephonodes hylas virescens|Lope11−1002Lophostethus dumolinii congoicum|TDGABb−003Lophostethus dumolinii congoicum|TDGABb−001Lophostethus dumolinii congoicum|TDGABb−002Noctuidae|Lope11−0159Noctuidae|Lope11−0068Noctuidae|Lope11−0058Dasychira|Lope11−0850Dasychira|TDGAB−0221
Lymantriinae|Lope11−0652Lymantriinae|TDGAB−1902Lymantriinae|TDGAB−1761Lymantriinae|TDGAB−0529Lymantriinae|Lope11−0632Lymantriinae|Lope11−0619Lymantriinae|TDGAB−1185Lymantriinae|TDGAB−2211Lymantriinae|TDGAB−0579Lymantriinae|TDGAB−0884
Temnora scitula|Lope11−0995Temnora scitula|Lope11−0909Temnora scitula|Lope11−0675Temnora scitula|Lope11−0674Temnora scitula|Lope11−0424
Temnora scitula|TDGABb−0136Temnora scitula|Lope11−0079Temnora scitula|Lope11−0921Temnora scitula|Lope11−0905Temnora scitula|Lope11−0700Temnora scitula|Lope11−0694Temnora scitula|Lope11−0676Temnora scitula|Lope11−0423
Temnora scitula|TDGABb−0138Temnora scitula|TDGABb−0139Temnora scitula|TDGABb−0132
Temnora scitula|Lope11−0697Temnora scitula|Lope11−0673
Temnora scitula|TDGABb−0135Temnora scitula|TDGABb−0134Temnora scitula|TDGABb−0133
Temnora livida|Lope11−0709Temnora livida|TDGABb−033Temnora livida|TDGABb−032Temnora livida|TDGABb−031
Temnora iapygoides|Lope11−0926
Temnora iapygoides|Lope11−0925Temnora griseata|Lope11−0902
Temnora griseata|TDGABb−089
Temnora griseata|TDGABb−0179
Temnora funebris|Lope11−0418
Temnora funebris|TDGABb−105
Temnora funebris|Lope11−0411
Temnora funebris|TDGABb−104
Temnora funebris|TDGABb−103
Temnora camerounensis|TDGABb−0131
Temnora fumosa|TDGABb−096
Temnora fumosa|TDGABb−094
Temnora spiritus|TDGABb−0148
Temnora eranga|TDGABb−0150
Atemnora westermannii|TDGABb−090
Temnora crenulata|Lope11−0054
Temnora crenulata|TDGABb−111
Temnora crenulata|TDGABb−110
Temnora crenulata|TDGABb−109
Temnora crenulata|TDGABb−108
Temnora crenulata|TDGABb−106
Temnora crenulata|TDGABb−107
Euchloron megaera|Lope11−0967
Euchloron megaera|Lope11−0864
Euchloron megaera|Lope11−0385
Euchloron megaera|Lope11−0383
Euchloron megaera|Lope11−0381
Euchloron megaera|TDGABb−013
Euchloron megaera|TDGABb−0166
Euchloron megaera|TDGABb−0165
Euchloron megaera|TDGABb−0164
Euchloron megaera|TDGABb−014
Euchloron megaera|TDGABb−015
Euchloron megaera|Lope11−0865
Euchloron megaera|Lope11−0688
Centroctena rutherfordi|TDGABb−063
Centroctena rutherfordi|TDGABb−061
Centroctena rutherfordi|TDGABb−062
Theretra jugurtha|Lope11−0413
Theretra jugurtha|Lope11−0396
Theretra jugurtha|Lope11−0394
Theretra jugurtha|TDGABb−073
Theretra jugurtha|TDGABb−054
Theretra jugurtha|TDGABb−053
Theretra jugurtha|TDGABb−074
Theretra jugurtha|TDGABb−052
Nephele funebris|Lope11−0894
Nephele funebris|TDGABb−060
Nephele funebris|TDGABb−056
Nephele funebris|TDGABb−0154
Nephele funebris|TDGABb−0153
Nephele rosae|Lope11−0856
Nephele rosae|Lope11−0414
Nephele rosae|Lope11−0405
Nephele rosae|TDGABb−043
Nephele rosae|TDGABb−044
Nephele rosae|TDGABb−045
Nephele rosae|TDGABb−0159
Nephele rosae|TDGABb−0160
Nephele accentifera|Lope11−0714
Nephele accentifera|Lope11−0402
Nephele accentifera|TDGABb−051
Nephele accentifera|TDGABb−050
Nephele maculosa|Lope11−0701
Nephele maculosa|Lope11−0692
Nephele maculosa|Lope11−0690
Nephele maculosa|Lope11−0412
Nephele maculosa|Lope11−0407
Nephele maculosa|Lope11−0393
Nephele maculosa|TDGABb−085
Nephele maculosa|TDGABb−084
Nephele maculosa|TDGABb−057
Nephele maculosa|TDGABb−055
Nephele maculosa|TDGABb−0161
Nephele aequivalens|Lope11−0422
Nephele aequivalens|Lope11−0403
Nephele aequivalens|TDGABb−0174
Nephele aequivalens|TDGABb−022
Nephele aequivalens|TDGABb−023
Nephele aequivalens|TDGABb−024
Nephele bipartita|Lope11−0406
Nephele bipartita|Lope11−0399
Nephele comma|Lope11−0395
Hippotion celerio|Lope11−0895
Basiothia medea|Lope11−0703
Basiothia medea|TDGABb−0144
Basiothia medea|TDGABb−0145
Hippotion gracilis|Lope11−0862
Hippotion gracilis|Lope11−0401
Hippotion gracilis|Lope11−0691
Hippotion eson|Lope11−0702
Hippotion eson|Lope11−0693
Hippotion eson|Lope11−0400
Hippotion eson|TDGABb−028
Hippotion eson|TDGABb−029
Hippotion eson|Lope11−0699
Hippotion eson|Lope11−0696
Hippotion eson|Lope11−0388
Hippotion eson|Lope11−0689
Hippotion balsaminae|TDGABb−018
Hippotion osiris|TDGABb−016
Theretra orpheus|TDGABb−113
Daphnis nerii|Lope11−0857
Daphnis nerii|Lope11−0698
Daphnis nerii|TDGABb−011
Daphnis nerii|TDGABb−010
Daphnis nerii|TDGABb−0155
Daphnis nerii|Lope11−0404
Daphnis nerii|TDGABb−012
Acherontia atropos|Lope11−0968
Acherontia atropos|TDGABb−0147
Coelonia fulvinotata|TDGABb−0168
Coelonia fulvinotata|TDGABb−046
Coelonia fulvinotata|TDGABb−047
Poliana buchholzi|TDGABb−093
Poliana buchholzi|TDGABb−092
Poliana buchholzi|TDGABb−091
Agrius convolvuli|Lope11−0671
Agrius convolvuli|Lope11−0670
Agrius convolvuli|Lope11−0398
Agrius convolvuli|TDGABb−0118
Agrius convolvuli|Lope11−0669
Agrius convolvuli|TDGABb−0119
Agrius convolvuli|TDGABb−0120
Polyptychus orthographus|Lope11−0896
Polyptychus orthographus|TDGABb−0173
Polyptychus orthographus|TDGABb−039
Polyptychus orthographus|TDGABb−0170
Polyptychus orthographus|TDGABb−0172
Polyptychus orthographus|TDGABb−038
Polyptychus orthographus|Lope11−0704
Polyptychus orthographus|TDGABb−0171
Polyptychus orthographus|TDGABb−037
Polyptychus thihongae|TDGABb−0143
Polyptychus thihongae|TDGABb−0142
Polyptychus thihongae|TDGABb−0141
Polyptychus bernardii|TDGABb−0130
Polyptychus bernardii|TDGABb−0129
Polyptychus carteri|Lope11−0866
Polyptychus carteri|Lope11−0707
Polyptychus carteri|TDGABb−065
Polyptychus carteri|TDGABb−064
Polyptychus carteri|TDGABb−066
Polyptychus paupercula|Lope11−0710
Polyptychus paupercula|TDGAB−1824
Polyptychus paupercula|Lope11−0397
Polyptychus paupercula|Lope11−0706
Polyptychus paupercula|Lope11−0420
Polyptychus paupercula|Lope11−0416
Polyptychus paupercula|Lope11−0391
Polyptychus hollandi|Lope11−0389
Polyptychus trisecta|TDGABb−080
Polyptychus trisecta|TDGABb−079
Polyptychus andosa|Lope11−0427
Polyptychus andosa|TDGABb−0152
Polyptychus andosa|TDGABb−0151
Polyptychus herbuloti|Lope11−0880
Polyptychus herbuloti|Lope11−0409
Polyptychus nigriplaga|Lope11−0668
Polyptychus nigriplaga|Lope11−0384
Polyptychus nigriplaga|TDGABb−069
Polyptychus nigriplaga|TDGABb−068
Polyptychus nigriplaga|TDGABb−067
Polyptychus murinus|Lope11−0712
Polyptychus murinus|Lope11−0711
Polyptychus murinus|Lope11−0419
Polyptychus murinus|Lope11−0415
Polyptychus murinus|Lope11−0386
Polyptychus murinus|TDGABb−0122
Polyptychus murinus|TDGABb−0121
Polyptychus murinus|TDGABb−0124
Polyptychus murinus|TDGABb−0123
Neopolyptychus spurrelli|Lope11−0708
Neopolyptychus spurrelli|TDGABb−0117
Neopolyptychus spurrelli|TDGABb−0116
Neopolyptychus spurrelli|TDGABb−0115
Neopolyptychus spurrelli|Lope11−0417
Neopolyptychus spurrelli|TDGABb−0114
Rufoclanis rosea|Lope11−0705
Rufoclanis rosea|Lope11−0666
Rufoclanis rosea|Lope11−0382
Rufoclanis rosea|Lope11−0410
Chloroclanis virescens|TDGABb−0157
Chloroclanis virescens|TDGABb−077
Chloroclanis virescens|TDGABb−0156
Chloroclanis virescens|TDGABb−075
Chloroclanis virescens|TDGABb−076
Pseudoclanis occidentalis|TDGABb−072
Pseudoclanis admatha|TDGABb−071
Pseudoclanis admatha|TDGABb−070
Falcatula cymatodes lemairei|TDGABb−017
Andriasa contraria|TDGAB−1838
Andriasa contraria|TDGAB−1132
Oplerclanis rhadamistus|TDGABb−099
Oplerclanis rhadamistus|TDGABb−098
Acanthosphinx guessfeldti|TDGABb−009
Acanthosphinx guessfeldti|TDGABb−008
Acanthosphinx guessfeldti|TDGABb−007
Phylloxiphia mpassa|Lope11−0901
Phylloxiphia mpassa|Lope11−0860
Phylloxiphia mpassa|TDGABb−036
Phylloxiphia mpassa|TDGABb−0176
Phylloxiphia mpassa|Lope11−0888
Phylloxiphia mpassa|Lope11−0861
Phylloxiphia mpassa|TDGABb−0175
Phylloxiphia mpassa|Lope11−0408
Phylloxiphia mpassa|TDGABb−035
Phylloxiphia mpassa|TDGABb−034
Phylloxiphia mpassa|Lope11−0863
Phylloxiphia oweni|Lope11−0859
Phylloxiphia oweni|Lope11−0667
Phylloxiphia formosa|TDGABb−082
Phylloxiphia formosa|TDGABb−081
Phylloxiphia oberthueri|Lope11−0858
Phylloxiphia oberthueri|TDGABb−088
Phylloxiphia oberthueri|TDGABb−087
Phylloxiphia oberthueri|TDGABb−086
Phylloxiphia oberthueri|Lope11−0672
Rhadinopasa hornimani|Lope11−0890
Rhadinopasa hornimani|TDGABb−005
Rhadinopasa hornimani|Lope11−0392
Rhadinopasa hornimani|TDGABb−006
Rhadinopasa hornimani|TDGABb−004
Phylloxiphia illustris
|Lope11−0713
Phylloxiphia illustris
|TDGABb−102
Phylloxiphia illustris
|TDGABb−101
Phylloxiphia illustris
|TDGABb−100
Platysphinx vicaria|TDGABb−021
Platysphinx vicaria|TDGABb−020
Platysphinx vicaria|TDGABb−019
Xanthopan morganii|Lope11−0390
Xanthopan morganii|Lope11−0387
Xanthopan morganii|TDGABb−0163
Xanthopan morganii|TDGABb−027
Xanthopan morganii|TDGABb−025
Xanthopan morganii|TDGABb−0162
Xanthopan morganii|TDGABb−026
Spilomelinae|TDGAB−0738
Lasiocampidae|Lope11−0948
Lasiocampidae|Lope11−0930
Lasiocampidae|TDGAB−1893
Lasiocampidae|Lope11−0940
Lasiocampidae|Lope11−0924
Lasiocampidae|Lope11−0720
Lasiocampidae|TDGAB−0728
Lasiocampidae|TDGAB−1395
Lasiocampidae|TDGAB−1454
Lasiocampidae|TDGAB−1702
Lasiocampidae|TDGAB−1948
Lasiocampidae|Lope11−0186
Lasiocampidae|Lope11−0576
Lasiocampidae|Lope11−0577
Lasiocampidae|Lope11−0791
Lasiocampidae|Lope11−0294
Lasiocampidae|Lope11−0174
Lasiocampidae|TDGAB−1727
Lasiocampidae|TDGAB−1576
Lasiocampidae|TDGAB−0143
Lasiocampidae|TDGAB−1523
Leptometa|Lope11−0788
Leptometa|TDGAB−1026
Leptometa|TDGABb−314
Leptometa|Lope11−0188
Leptometa|TDGAB−1855
Leptometa|TDGAB−1735
Leptometa|TDGAB−1650
Leptometa|TDGAB−1448
Leptometa|TDGAB−1019
Leptometa|TDGAB−0340
Lasiocampidae|Lope11−0574
Lasiocampidae|TDGAB−2238
Lasiocampidae|TDGAB−0554
Lasiocampidae|TDGAB−0402
Gastroplakaeis|TDGABb−329
Gastroplakaeis forfic
ulatus|TDGAB−0366
Gastroplakaeis|TDGAB−1776
Gastroplakaeis|TDGAB−0134
Lasiocampidae|TDGAB−1655
Lasiocampidae|TDGAB−1478
Lasiocampidae|TDGAB−1409
Lasiocampidae|TDGAB−1207
Lasiocampidae|Lope11−0908
Lasiocampidae|Lope11−0071
Lasiocampidae|Lope11−0583
Lasiocampidae|TDGAB−1886
Lasiocampidae|TDGAB−1646
Lasiocampidae|TDGAB−1423
Lasiocampidae|TDGAB−0017
Lasiocampidae|TDGAB−0003
Lasiocampidae|TDGAB−2129
Lasiocampidae|Lope11−0575
Mallocampa audea|TDGAB−0532
Lasiocampidae|TDGAB−0380
Lasiocampidae|Lope11−0573
Lasiocampidae|TDGAB−1746
Lasiocampidae|TDGAB−0373
Lasiocampidae|TDGAB−0370
Gonopacha|TDGABb−313
Gonometa|TDGABb−376
Gonometa|TDGABb−375
Gonometa|TDGABb−374
Gonometa|TDGAB−0893
Lasiocampidae|TDGABb−339
Lasiocampidae|TDGAB−0903
Lasiocampidae|TDGAB−0353
Lasiocampidae|TDGABb−341
Lasiocampidae|TDGAB−1173
Gonobombyx|TDGAB−1359
Gonobombyx|TDGAB−0585
Gastroplakaeis|Lope11−0452
Gastroplakaeis|TDGAB−1895
Gastroplakaeis|TDGAB−1030
Gastroplakaeis|TDGAB−0970
Gastroplakaeis|TDGAB−0192
Gastroplakaeis|TDGAB−1027
Gastroplakaeis|TDGAB−2159
Gastroplakaeis|TDGAB−1161
Gastroplakaeis|TDGAB−1620
Lasiocampidae|TDGAB−1698
Lasiocampidae|TDGAB−0944
Lasiocampidae|TDGAB−1336
Lasiocampidae|TDGAB−1877
Lasiocampidae|TDGAB−1880
Lasiocampidae|Lope11−0078
Lasiocampidae|TDGAB−1438
Lasiocampidae|TDGABb−382
Lasiocampidae|TDGABb−381
Lasiocampidae|Lope11−0939
Lasiocampidae|TDGAB−0365
Lasiocampidae|Lope11−0584
Lasiocampidae|TDGAB−0072
Lasiocampidae|TDGAB−0950
Lasiocampidae|Lope11−0581
Lasiocampidae|Lope11−0580
Lasiocampidae|Lope11−0562
Lasiocampidae|TDGAB−1975
Lasiocampidae|Lope11−0933
Lasiocampidae|Lope11−0339
Lasiocampidae|Lope11−0923
Lasiocampidae|TDGAB−1678
Lasioca
mpidae|TDGAB−24
07
Lasioca
mpidae|TDGAB−22
06
Lasioca
mpidae|TDGAB−20
85
Lasioca
mpidae|TDGAB−02
32
Lasioca
mpidae|TDGAB−24
06
Lasioca
mpidae|TDGAB−22
12
Lasioca
mpidae|TDGAB−02
82
Lasioca
mpidae|Lope1
1−00
12
Lasioca
mpidae|TDGAB−22
42
Lasioca
mpidae|TDGAB−12
04
Lasioca
mpidae|TDGAB−08
53
Lasioca
mpidae|TDGAB−05
31
Lasioca
mpidae|TDGAB−09
62
Lasioca
mpidae|TDGAB−03
38
Lasioca
mpidae|Lope1
1−08
89
Lasioca
mpidae|TDGABb−34
7
Lasioca
mpidae|Lope1
1−01
41
Lasioca
mpidae|Lope1
1−00
74
Lasioca
mpidae|TDGAB−16
94
Lasioca
mpidae|Lope1
1−09
14
Lasioca
mpidae|Lope1
1−00
84
Lasioca
mpidae|Lope1
1−01
21
Lasioca
mpidae|Lope1
1−00
44
Lasioca
mpidae|Lope1
1−04
46
Stoermeri
ana|T
DGAB−1322
Lasioca
mpidae|Lope1
1−08
34
Lasioca
mpidae|Lope1
1−08
27
Lasioca
mpidae|TDGAB−23
72
Lasioca
mpidae|TDGAB−16
70
Lasioca
mpidae|TDGAB−15
93
Lasioca
mpidae|TDGAB−2
178
Lasioca
mpidae|TDGAB−1
060
Lasioca
mpidae|TDGAB−0
750
Lasioca
mpidae|TDGAB−1
011
Lasioca
mpidae|Lope1
1−03
51
Lasioca
mpidae|TDGAB−1
337
Lasioca
mpidae|TDGAB−1
189
Lasioca
mpidae|TDGAB−0
578
Lasioca
mpidae|TDGAB−1
039
Pachy
pasa|L
ope11−
0900
Pachy
pasa|L
ope11−
0187
Pachy
pasa|T
DGAB−169
9
Pachy
pasa|L
ope11−
0567
Pachy
pasa|T
DGAB−135
2
Pachy
pasa|T
DGAB−136
5
Pachy
pasa|T
DGAB−138
3
Pachy
pasa|T
DGAB−146
3
Pachy
pasa|T
DGAB−190
7
Pachy
pasa|T
DGABb−325
Pachy
pasa|L
ope11−
0438
Pachy
pasa|L
ope11−
0453
Pachy
pasa|L
ope11−
0563
Pachy
pasa|L
ope11−
0568
Pachy
pasa
|Lope
11−0
571
Pachy
pasa
|Lope
11−0
898
Pachy
pasa
|TDGAB−0
222
Lasio
campid
ae|Lo
pe11
−057
2
Lasio
campid
ae|Lo
pe11
−056
9
Lasio
campid
ae|TD
GAB−175
3
Lasio
campid
ae|TD
GABb−07
8
Lasio
campid
ae|TD
GABb−37
3
Lasio
campid
ae|TD
GAB−136
7
Lasio
campid
ae|TD
GABb−37
2
Lasio
campid
ae|Lo
pe11
−043
9
Lasio
campid
ae|TD
GAB−211
5
Lasio
campid
ae|Lo
pe11
−089
9
Lasio
campid
ae|Lo
pe11
−056
4
Lasio
campid
ae|Lo
pe11
−044
8
Lasio
campid
ae|TD
GAB−169
2
Lasio
campid
ae|TD
GAB−148
7
Lasio
campid
ae|TD
GAB−001
9
Pachy
pasa
recti
linea
ta|Lo
pe11
−079
9
Pachy
pasa
recti
linea
ta|Lo
pe11
−057
9
Pachy
pasa
recti
linea
ta|TD
GAB−072
9
Pachy
pasa
recti
linea
ta|TD
GAB−048
2
Lasio
campid
ae|Lo
pe11
−065
9
Lasio
campid
ae|TD
GAB−188
4
Lasio
campid
ae|TD
GAB−054
3
Lasio
campid
ae|Lo
pe11
−045
1
Lasio
campid
ae|TD
GABb−32
3
Lasio
campid
ae|TD
GAB−096
0
Lasio
campid
ae|TD
GAB−037
6
Lasio
campid
ae|TD
GAB−183
4
Lasio
campid
ae|TD
GAB−036
7
Lasio
campid
ae|TD
GAB−016
7
Lasio
campid
ae|Lo
pe11
−056
6
Lasio
campid
ae|Lo
pe11
−056
5
Lasio
campid
ae|Lo
pe11
−004
9
Lasio
campid
ae|TD
GAB−060
8
Lasio
campid
ae|TD
GAB−240
4
Lomad
onta
obsc
ura|L
ope1
1−09
43
Lomad
onta
obsc
ura|L
ope1
1−00
70
Lomad
onta
obsc
ura|L
ope1
1−08
37
Lomad
onta
obsc
ura|L
ope1
1−03
14
Lomad
onta
obsc
ura|T
DGAB−176
7
Lomad
onta
obsc
ura|T
DGAB−149
0
Lyman
triina
e|TDGAB−1
105
Lyman
triina
e|TDGAB−0
862
Lyman
triina
e|TDGAB−0
193
Lasio
campid
ae|TD
GAB−236
1
Lasio
campid
ae|TD
GAB−124
1
Zamar
ada|T
DGAB−223
2
Theti
dia|TD
GAB−068
0
Lasio
campid
ae|Lo
pe11
−065
3
Lasio
campid
ae|Lo
pe11
−006
2
Lasio
campid
ae|Lo
pe11
−005
0
Lasio
campid
ae|TD
GABb−34
4
Lasio
campid
ae|TD
GABb−33
1
Lasio
campid
ae|TD
GABb−33
0
Lasio
campid
ae|TD
GABb−35
4
Lasio
campid
ae|TD
GABb−35
3
Lasio
campid
ae|TD
GABb−35
2
Lasio
campid
ae|TD
GABb−35
1
Lasio
campid
ae|TD
GABb−35
0
Lasio
campid
ae|TD
GAB−141
0
Lasio
campid
ae|TD
GABb−33
5
Lasio
campid
ae|TD
GAB−183
9
Lasio
campid
ae|TD
GAB−174
3
Lasio
campid
ae|TD
GAB−141
1
Lasio
campid
ae|TD
GAB−161
5
Lasio
campid
ae|T
DGAB−140
4
Zamar
ada|L
ope1
1−07
96
Zam
arad
a|TDGAB−1
108
Zam
arad
a|Lop
e11−
0115
Zam
arad
a|TDGAB−2
304
Zam
arad
a|TDGAB−0
671
Zam
arad
a|TDGAB−1
956
Zam
arad
a|TDGAB−1
906
Zam
arad
a|TDG
AB−2
408
Zam
arad
a|TDG
AB−1
270
Zam
arad
a|TDG
AB−1
291
Zam
arad
a|TDG
AB−2
084
Zam
arad
a|TDG
AB−0
651
Zam
arad
a|TDG
AB−2
195
Zam
arad
a|TDG
AB−0
428
Zam
arad
a dol
oros
a|TDG
AB−1
484
Zam
arad
a dol
oros
a|TDG
AB−0
419
Zam
arad
a|TDG
AB−1
470
Zam
arad
a cor
robo
rata
|Lop
e11−
0345
Zam
arad
a cor
robo
rata
|Lop
e11−
0127
Zam
arad
a cor
robo
rata
|TDG
AB−0
079
Zam
arad
a cor
robo
rata
|TDG
AB−0
023
Zam
arad
a cor
robo
rata
|Lop
e11−
0003
Zam
arad
a cor
robo
rata
|TDG
AB−0
029
Zam
arad
a cor
robo
rata
|Lop
e11−
0119
Zam
arad
a cor
robo
rata
|TDG
AB−0
628
Zam
arad
a cor
robo
rata
|TDG
AB−0
644
Zam
arad
a cor
robo
rata
|TDG
AB−0
041
Zam
arad
a cor
robo
rata
|TDG
AB−2
268
Zam
arad
a cor
robo
rata
|TDG
AB−0
470
Zam
arad
a cor
robo
rata
|TDG
AB−2
193
Zam
arad
a|Lop
e11−
0365
Zam
arad
a|TDG
AB−0
229
Zam
arad
a|Lop
e11−
0131
Zam
arad
a|TDG
AB−2
287
Zam
arad
a|Lop
e11−
0128
Zam
arad
a|TDG
AB−2
314
Zam
arad
a|TDG
AB−2
168
Zam
arad
a|TDG
AB−0
625
Zam
arad
a|TDG
AB−2
100
Zam
arad
a|TDG
AB−2
209
Zam
arad
a|TDG
AB−2
182
Zam
arad
a|TDG
AB−1
491
Zam
arad
a|TDG
AB−2
188
Zam
arad
a|TDG
AB−1
574
Zam
arad
a|TDG
AB−1
229
Zam
arad
a|Lop
e11−
0772
Zam
arad
a|TDG
AB−2
096
Zam
arad
a|TDG
AB−1
245
Zam
arad
a|TDG
AB−1
442
Zam
arad
a|Lop
e11−
0477
Zam
arad
a|TDG
AB−0
228
Zam
arad
a|TDG
AB−2
410
Zam
arad
a|TDG
AB−2
319
Zam
arad
a|TDG
AB−2
247
Zam
arad
a|TD
GAB−
2187
Zam
arad
a|TD
GAB−
2169
Zam
arad
a|TD
GAB−
1277
Zam
arad
a|Lo
pe11
−051
1
Zam
arad
a|TD
GAB−
1531
Zam
arad
a|TD
GAB−
1481
Zam
arad
a|TD
GAB−
0055
Zam
arad
a|TD
GAB−
0059
Zam
arad
a|TD
GAB−
1822
Zam
arad
a|Lo
pe11
−047
6
Zam
arad
a|TD
GAB−
1962
Zam
arad
a|TD
GAB−
1502
Zam
arad
a|Lo
pe11
−051
4
Geom
etrid
ae|T
DGAB
−225
3
Geom
etrid
ae|T
DGAB
−204
1
Geom
etrid
ae|T
DGAB
−043
3
Geom
etrid
ae|T
DGAB
−128
7
Geom
etrid
ae|T
DGAB
−128
0
Geom
etrid
ae|T
DGAB
−031
5
Pycn
oste
ga fu
mos
a|TD
GAB−
1505
Pycn
oste
ga fu
mos
a|TD
GAB−
1116
Geom
etrid
ae|T
DGAB
−150
3
Geom
etrid
ae|T
DGAB
−224
3
Geom
etrid
ae|T
DGAB
−170
5
Geom
etrid
ae|T
DGAB
−049
6
Geom
etrid
ae|T
DGAB
−219
9
Geom
etrid
ae|T
DGAB
−129
7
Cram
bida
e|Lo
pe11
−082
6
Cram
bida
e|TD
GAB−
1612
Cram
bida
e|TD
GAB−
1427
Cram
bida
e|TD
GAB−
0794
Cram
bida
e|TD
GAB−
0785
Cram
bida
e|TD
GAB−
0461
Thyr
idid
ae|T
DGAB
−017
8
Thyr
idid
ae|T
DGAB
−218
0
Anap
he p
anda
|TDG
AB−0
542
Pyra
lidae
|Lop
e11−
0605
Pyra
lidae
|TDG
AB−1
827
Pyra
lidae
|Lop
e11−
0122
Pyra
lidae
|TDG
AB−1
369
Geom
etrid
ae|L
ope1
1−04
79
Opis
thod
ontia
|TDG
AB−2
003
Opis
thod
ontia
|TDG
AB−0
762
Lasi
ocam
pida
e|TD
GAB−
0997
Cram
bida
e|Lo
pe11
−032
7
Cram
bida
e|TD
GAB−
0094
Thyr
idid
ae|T
DGAB
−047
5
Noto
dont
idae
|TDG
AB−2
368
Lepi
dopt
era|
TDGA
B−20
56
Napr
epa|
TDGA
B−03
74
Noto
dont
idae
|TDG
AB−1
086
Coss
idae
|Lop
e11−
0907
Psyc
hida
e|TD
GAB−
1010
Zeuz
erin
ae|L
ope1
1−06
87
Zeuz
erin
ae|T
DGAB
b−33
2
Zeuz
erin
ae|L
ope1
1−04
49
Met
arbe
linae
|TDG
AB−1
374
Met
arbe
linae
|Lop
e11−
0299
Met
arbe
linae
|TDG
AB−0
292
Met
arbe
linae
|TDG
AB−1
549
Met
arbe
linae
|TDG
AB−0
721
Lym
antri
inae
|Lop
e11−
0013
Mar
max
|TDG
AB−1
671
Mar
max
|TDG
AB−1
616
Mar
max
|TDG
AB−0
737
Mar
max
|TDG
AB−0
660
Mar
max
|TDG
AB−0
654
Mar
max
|TDG
AB−0
648
Mar
max
|TDG
AB−0
077
Mar
max
|TDG
AB−0
016
Mar
max
|TDG
AB−0
015
Mar
max
|TDG
AB−0
013
Mar
max
|TDG
AB−0
139
Mar
max
|TDG
AB−0
106
Mar
max
|TDG
AB−0
096
Mar
max
|TDG
AB−0
081
Mar
max
|TDG
AB−0
678
Mar
max
|TDG
AB−0
014
Mar
max
|TDG
AB−0
744
Mar
max
|TDG
AB−0
052
Geo
met
ridae
|Lop
e11−
0870
Geo
met
ridae
|Lop
e11−
0344
Phia
la M
GAB
sp1|
Lope
11−0
732
Phia
la M
GAB
sp1|
Lope
11−0
731
Phia
la M
GAB
sp1|
TDG
AB−1
930
Phia
la M
GAB
sp1|
TDG
AB−1
867
Phia
la M
GAB
sp1|
TDG
AB−1
850
Phia
la M
GAB
sp1|
TDG
AB−1
835
Phia
la M
GAB
sp1|
TDG
AB−1
765
Phia
la M
GAB
sp1|
TDG
AB−1
750
Phia
la M
GAB
sp1|
TDG
AB−1
731
Phia
la M
GAB
sp1|
TDG
AB−1
717
Phia
la M
GAB
sp1|
TDG
AB−0
799
Phia
la M
GAB
sp1|
TDG
AB−0
790
Phia
la M
GAB
sp1|
TDG
AB−0
627
Phia
la M
GAB
sp1|
TDG
AB−0
621
Phia
la M
GAB
sp1|
TDG
AB−0
056
Phia
la M
GAB
sp1|
TDG
AB−0
018
Phia
la M
GAB
sp1|
TDG
AB−0
011
Phia
la M
GAB
sp1|
TDG
AB−0
010
Phia
la M
GAB
sp1|
TDG
AB−0
610
Phia
la M
GAB
sp2|
TDG
ABb−
358
Phia
la M
GAB
sp2|
TDG
ABb−
356
Phia
la M
GAB
sp2|
TDG
ABb−
355
Phia
la M
GAB
sp2|
TDG
AB−1
744
Phia
la M
GAB
sp2|
TDG
ABb−
357
Mix
ocer
a|Lo
pe11
−099
6
Mix
ocer
a|Lo
pe11
−048
4
Geo
dena
|Lop
e11−
0816
Geo
dena
|Lop
e11−
0107
Enno
min
ae|T
DGAB
−152
4
Enno
min
ae|T
DGAB
−087
9
Pitth
ea|T
DGAB
−181
0
Pitth
ea|T
DGAB
−170
8
Pitth
ea|T
DGAB
−012
8
Pitth
ea|T
DGAB
−003
1
Pitth
ea|T
DGAB
−012
7
Pitth
ea|T
DGAB
−104
5
Pitth
ea|T
DGAB
−086
9
Geo
met
ridae
|Lop
e11−
0992
Geo
met
ridae
|Lop
e11−
0793
Geo
met
ridae
|Lop
e11−
0483
Geo
met
ridae
|TDG
AB−2
384
Geo
met
ridae
|TDG
AB−0
260
Geo
met
ridae
|TDG
AB−1
603
Geo
met
ridae
|TDG
AB−0
777
Geo
met
ridae
|Lop
e11−
0016
Geo
met
ridae
|TDG
AB−0
885
Geo
met
ridae
|TDG
AB−1
144
Geo
met
ridae
|TDG
AB−0
699
Anth
arm
oste
s|Lo
pe11
−077
5
Anth
arm
oste
s|Lo
pe11
−048
5
Anth
arm
oste
s|Lo
pe11
−002
5
Anth
arm
oste
s|TD
GAB
−229
4
Anth
arm
oste
s|TD
GAB
−218
3
Anth
arm
oste
s|Lo
pe11
−076
5
Anth
arm
oste
s|TD
GAB
−181
6
Anth
arm
oste
s|TD
GAB
−112
3
Geo
met
ridae
|TDG
AB−0
439
Geo
met
ridae
|Lop
e11−
0021
Geo
met
ridae
|TDG
AB−1
157
Geo
met
ridae
|Lop
e11−
0813
Geo
met
ridae
|TDG
AB−0
265
Geo
met
ridae
|Lop
e11−
0497
Geo
met
ridae
|TDG
AB−2
181
Geo
met
ridae
|TDG
AB−1
265
Geo
met
ridae
|Lop
e11−
0815
Geo
met
ridae
|Lop
e11−
0478
Geo
met
ridae
|TDG
AB−2
307
Geo
met
ridae
|Lop
e11−
0020
Geo
met
ridae
|TDG
AB−2
235
Geo
met
ridae
|TDG
AB−2
192
Geo
met
ridae
|Lop
e11−
0482
Geo
met
ridae
|TDG
AB−1
310
Geo
met
ridae
|TDG
AB−0
991
Geo
met
ridae
|TDG
AB−1
526
Geo
met
ridae
|TDG
AB−2
348
Pras
inoc
yma
fusc
a|TD
GAB
−187
2
Pras
inoc
yma
fusc
a|TD
GAB
−075
7
Pras
inoc
yma
fusc
a|TD
GAB
−066
2
Pras
inoc
yma
fusc
a|TD
GAB
−061
7
Geo
met
rinae
|TDG
AB−0
700
Andr
ozeu
gma|
Lope
11−0
027
Andr
ozeu
gma|
TDG
AB−0
434
Loph
osto
la|T
DGAB
−220
4
Geo
met
ridae
|TDG
AB−1
426
Geo
met
ridae
|TDG
AB−0
381
Geo
met
ridae
|TDG
AB−1
274
Geo
met
ridae
|Lop
e11−
0017
Geo
met
ridae
|Lop
e11−
0015
Geo
met
ridae
|TDG
AB−2
200
Geo
met
ridae
|TDG
AB−1
056
Geo
met
ridae
|TDG
AB−1
651
Geo
met
ridae
|TDG
AB−2
234
Geo
met
ridae
|TDG
AB−1
259
Loph
orrh
achi
a|Lo
pe11
−001
4
Loph
orrh
achi
a pa
lliat
a|TD
GAB
−049
3
Loph
orrh
achi
a pa
lliat
a|TD
GAB
−007
4
Geo
met
ridae
|TDG
AB−2
184
Ping
asa|
Lope
11−0
766
Ping
asa|
TDG
AB−2
305
Ping
asa|
TDG
AB−0
191
Ping
asa|
Lope
11−0
496
Ping
asa|
TDG
AB−2
344
Ping
asa|
TDG
AB−0
596
Ping
asa|
TDG
AB−2
099
Ping
asa|
TDG
AB−0
384
Ping
asa|
TDG
AB−0
632
Ping
asa|
TDG
AB−0
535
Thal
asso
des|
Lope
11−0
026
Thal
asso
des|
Lope
11−0
024
Thal
asso
des|
Lope
11−0
023
Thal
asso
des|
TDG
AB−1
131
Geo
met
ridae
|TDG
AB−1
473
Geo
met
ridae
|Lop
e11−
0941
Geo
met
ridae
|Lop
e11−
0495
Geo
met
ridae
|Lop
e11−
0287
Geo
met
ridae
|Lop
e11−
0144
Geo
met
ridae
|TDG
AB−1
237
Geo
met
ridae
|TDG
AB−2
172
Geo
met
ridae
|TDG
AB−0
247
Geo
met
ridae
|TDG
AB−1
104
Geo
met
ridae
|Lop
e11−
0360
Meg
adre
pana
cin
erea
|Lop
e11−
0047
Meg
adre
pana
cin
erea
|TDG
ABb−
378
Meg
adre
pana
cin
erea
|TDG
AB−2
357
Meg
adre
pana
cin
erea
|TDG
AB−2
142
Meg
adre
pana
cin
erea
|TDG
AB−1
817
Sphi
ngom
ima|
TDG
ABb−
377
Sphi
ngom
ima|
TDG
AB−0
814
Sphi
ngom
ima|
TDG
AB−2
382
Sphi
ngom
ima|
TDG
AB−0
386
Sphi
ngom
ima|
TDG
AB−0
383
Sphi
ngom
ima|
TDG
AB−0
841
Sphi
ngom
ima|
TDG
AB−1
160
Mia
ntoc
hora
inte
rrup
ta|L
ope1
1−07
71
Mia
ntoc
hora
inte
rrup
ta|L
ope1
1−07
70M
iant
ocho
ra|T
DGAB
b−34
9M
iant
ocho
ra|T
DGAB
−089
8M
iant
ocho
ra|T
DGAB
−060
2M
iant
ocho
ra|T
DGAB
−023
0M
iant
ocho
ra|T
DGAB
−023
1M
iant
ocho
ra|T
DGAB
−047
8M
iant
ocho
ra|T
DGAB
−112
6G
eom
etrid
ae|T
DGAB
−109
2G
eom
etrid
ae|T
DGAB
−211
2G
eom
etrid
ae|T
DGAB
−005
8G
eom
etrid
ae|T
DGAB
−092
6G
eom
etrid
ae|T
DGAB
−113
5G
eom
etrid
ae|T
DGAB
−098
8G
eom
etrid
ae|T
DGAB
−098
0M
iant
ocho
ra v
ener
ata|
TDG
AB−1
120
Geo
met
ridae
|TDG
AB−2
291
Geo
met
ridae
|TDG
AB−2
402
Geo
met
ridae
|TDG
AB−2
337
Geo
met
ridae
|TDG
AB−2
335
Geo
met
ridae
|TDG
AB−0
846
Geo
met
ridae
|TDG
AB−1
115
Geo
met
ridae
|Lop
e11−
0498
Geo
met
ridae
|TDG
AB−1
100
Geo
met
ridae
|TDG
AB−0
587
Geo
met
ridae
|Lop
e11−
0488
Geo
met
ridae
|TDG
AB−1
069
Geo
met
ridae
|TDG
AB−0
820
Colo
cleo
ra in
divi
sa|T
DGAB
−039
2Co
locl
eora
indi
visa
|TDG
AB−0
196
Colo
cleo
ra|T
DGAB
−034
3Co
locl
eora
|TDG
AB−0
252
Bist
on|T
DGAB
−115
9Bi
ston
|TDG
AB−1
149
Bist
on|T
DGAB
−113
7Bi
ston
|TDG
AB−1
121
Bist
on|T
DGAB
−102
2Bi
ston
|TDG
AB−1
017
Bist
on|T
DGAB
−098
3B
isto
n|TD
GA
B−0
935
Bis
ton|
TDG
AB
−042
3B
isto
n|TD
GA
B−0
220
Bis
ton|
TDG
AB
−021
4B
isto
n|TD
GA
B−0
166
Enno
min
ae|T
DG
AB
−108
9En
nom
inae
|TD
GA
B−0
597
Enno
min
ae|T
DG
AB
−020
5En
nom
inae
|TD
GA
B−0
957
Geo
met
ridae
|TD
GA
B−1
048
Geo
met
ridae
|TD
GA
B−0
566
Geo
met
ridae
|TD
GA
B−1
296
Geo
met
ridae
|TD
GA
B−0
961
Geo
met
ridae
|TD
GA
B−1
090
Geo
met
ridae
|TD
GA
B−1
211 9870−11epoL|ai
mraobotcueZ6170−11epoL|ai
mraobotcueZ Zeuc
tobo
arm
ia|L
ope1
1−05
08Ze
ucto
boar
mia
|Lop
e11−
0500 5500−11epoL|ai
mraobotcueZ9580−
BA
GDT|ai
mraobotcueZ7310−11epoL|ai
mraobotcueZ9011−
BA
GDT|ai
mraobotcueZ2050−11epoL|ai
mraobotcueZ8110−11epoL|ai
mraobotcueZ3391−
BA
GDT|ai
mraobotcueZ2490−
BA
GDT|ai
mraobotcueZ1470−
BA
GDT|ai
mraobotcueZ4581−
BA
GDT|ai
mraobotcueZ2761−
BAG
DT|aimraobotcueZ
9321−B
AG
DT|aimraobotcueZ
5360−B
AG
DT|aimraobotcueZ
2341−B
AG
DT|aimraobotcueZ
7110−11epoL|aimraobotcueZ
2460−B
AG
DT|aimraobotcueZ
7922−B
AG
DT|aimraobotcueZ
3480−B
AG
DT|aimraobotcueZ Ze
ucto
boar
mia
|TD
GA
B−0
905
Cle
ora|
TDG
AB
−163
8Ze
ucto
boar
mia
|TD
GA
B−2
198Zeuctoboarm
ia|TDG
AB
−1323Zeuctoboarm
ia|TDG
AB
−0650Zeuctoboarm
ia|TDG
AB
−0481 2610
−B
AG
DT|a
imr
aobo
tcue
Z86
70−1
1epo
L|ai
mrao
botc
ueZ
6930
−B
AG
DT|a
imr
aobo
tcue
Z72
20−
BA
GDT
|iht
or se
dond
oroh
C77
32−
BA
GDT
|ead
irte
moe
G15
01−
BA
GDT
|ead
irte
moe
G49
50−
BA
GDT
|ead
irte
moe
G70
50−
BA
GDT
|ead
irte
moe
G00
20−
BA
GDT
|ead
irte
moe
G30
12−
BA
GDT
|ead
irte
moe
G55
50−
BA
GDT
|ead
irte
moe
G92
91−
BA
GDT
|ead
irte
moe
G33
11−
BA
GDT
|ead
irte
moe
G15
80−
BA
GDT
|ead
irte
moe
G76
50−
BA
GDT
|ead
irte
moe
G26
50−
BA
GDT
|ead
irte
moe
G96
10−
BA
GDT
|ead
irte
moe
G70
12−
BA
GDT
|ead
irte
moe
G67
21−
BA
GDT
|ead
irte
moe
G63
02−
BA
GDT
|ead
irte
moe
G64
21−
BA
GDT
|ead
irte
moe
G95
10−
BA
GDT
|ead
irte
moe
G27
10−
BA
GDT
|ead
irte
moe
G28
30−
BA
GDT
|ead
irte
moe
G40
40−
BA
GDT
|ead
irte
moe
G08
40−
BA
GDT
|ead
irte
moe
G48
50−
BA
GDT
|ead
irte
moe
G82
80−
BA
GDT
|ead
irte
moe
G78
70−1
1epo
L|no
tsi
B Biston|TDG
AB
−1176B
iston|Lope11−0778B
iston|Lope11−0504B
iston|Lope11−0503B
iston|Lope11−0111B
iston|TDG
AB
−0130 3060
−B
AG
DT|n
otsi
B33
60−
BA
GDT
|not
siB
6470
−B
AG
DT|n
otsi
B Biston|TDGAB−1456
Biston|TDGAB−1501
Biston|Lope11−0028Biston|Lope11−0051Biston|Lope11−0067Biston|Lope11−0109Biston|Lope11−0110Biston|Lope11−0494Biston|Lope11−0493Buzura|Lope11−0112Buzura|TDG
AB−0568Buzura|TDG
AB−0385G
eometridae|TDG
AB−2329G
eometridae|TDG
AB−2300G
eometridae|TDG
AB−2102G
eometridae|Lope11−0491
Geom
etridae|Lope11−0492G
eometridae|TDG
AB−0565G
eometridae|TDG
AB−0414G
eometridae|TDG
AB−0268G
ongropteryx|TDGAB−2336
Gongropteryx|TDG
AB−0170G
ongropteryx|TDGAB−0618
Gongropteryx|TDG
AB−0255G
eometridae|TDG
AB−1806G
eometridae|TDG
AB−1766G
eometridae|TDG
AB−0786Eulycia|TDG
AB−1778Eulycia|TDG
AB−1775Eulycia|TDG
AB−0118Eulycia|TDG
AB−0097Eulycia|TDG
AB−1514Eulycia|TDG
AB−0708Eulycia|TDG
AB−0123G
eometridae|TDG
AB−1283G
eometridae|TDG
AB−2312G
eometridae|TDG
AB−0498G
eometridae|TDG
AB−0974G
eometridae|TDG
AB−0484G
eometridae|TDG
AB−0412G
eometridae|TDG
AB−0271G
eometridae|TDG
AB−0202G
eometridae|TDG
AB−0593G
eometridae|TDG
AB−0518G
eometridae|TDG
AB−2303G
eometridae|TDG
AB−1275G
eometridae|TDG
AB−0190G
eometridae|TDG
AB−2290G
eometridae|Lope11−0507
Geom
etridae|Lope11−0506G
eometridae|TDG
AB−2266
Geom
etridae|TDGAB−2281
Geom
etridae|TDGAB−2205
Geom
etridae|TDGAB−0491
Geom
etridae|TDGAB−1118
Geom
etridae|TDGAB−2383
Geom
etridae|TDGAB−1328
Comibaena|TDG
AB−1916
Geom
etridae|Lope11−0844
Cleora|Lope11−0761G
eometridae|Lope11−0134
Geom
etridae|TDGAB−1099
Dorsifulcrum|TDG
AB−2147
Geom
etridae|TDGAB−2092
Geom
etridae|TDGAB−2387
Geom
etridae|TDGAB−2227
Geom
etridae|TDGAB−0413
Geom
etridae|TDGAB−1315
Geom
etridae|TDGAB−1251
Geom
etridae|TDGAB−0263
Geom
etridae|TDGAB−2301
Geom
etridae|TDGAB−2269
Geom
etridae|TDGAB−0469
Geom
etridae|TDGAB−0185
Geom
etridae|TDGAB−2288
Geom
etridae|TDGAB−1747
Geom
etridae|TDGAB−0287
Geom
etridae|TDGAB−0212
Acrostatheusis|Lope11−0781
Acrostatheusis|TDGAB−0638
Acrostatheusis|Lope11−0779
Acrostatheusis|TDGAB−2355
Geom
etridae|Lope11−0501
Geom
etridae|TDGAB−2318
Geom
etridae|TDGAB−2164
Geom
etridae|TDGAB−2091
Geom
etridae|TDGAB−2216
Geom
etridae|TDGAB−2111
Geom
etridae|TDGAB−0977
Chiasmia albivia|TDG
AB−0436
Cleora boetschi|Lope11−0934
Cleora boetschi|TDGAB−0674
Cleora boetschi|TDGAB−0477
Cleora boetschi|Lope11−0512
Cleora boetschi|TDGAB−0925
Cleora boetschi|TDGAB−0735
Cleora boetschi|TDGAB−2233
Cleora boetschi|TDGAB−0557
Cleora boetschi|Lope11−0773
Cleora boetschi|Lope11−0767
Cleora boetschi|TDGAB−2148
Cleora boetschi|TDGAB−0755
Cleora|Lope11−0769
Cleora|Lope11−0762
Cleora|TDGAB−1887
Cleora|TDGAB−0165
Cleora oculata|Lope11−0764
Cleora oculata|TDGAB−2177
Cleora oculata|TDGAB−2150
Cleora oculata|TDGAB−0804
Cleora oculata|TDGAB−1504
Cleora oculata|TDGAB−2104
Cleora oculata|TDGAB−2229
Cleora oculata|TDGAB−1467
Cleora oculata|TDGAB−1268
Cleora oculata|TDGAB−1106
Cleora oculata|TDGAB−0667
Cleora|TDGAB−2088
Cleora|TDGAB−1146
Cleora|TDGAB−0604
Cleora|TDGAB−2039
Cleora|Lope11−0838
Cleora|Lope11−0499
Cleora|Lope11−0114
Cleora|TDGAB−1460
Cleora|TDGAB−2186
Cleora|TDGAB−1858
Cleora|TDGAB−0749
Cleora|TDGAB−0796
Cleora|TDGAB−0781
Cleora|TDGAB−0620
Cleora|TDGAB−0945
Cleora|TDGAB−1226
Cleora|TDGAB−1551
Cleora|TDGAB−1112
Cleora|TDGAB−0788
Cleora|TDGAB−1479
Cleora|TDGAB−2338
Cleora|TDGAB−2137
Cleora|TDGAB−0723
Cleora|TDGAB−0773
Cleora|TDGAB−0050
Cleora|TDGAB−0042
Cleora|TDGAB−2313
Cleora|TDGAB−0787
Cleora|TDGAB−0088
Cleora|TDGAB−1900
Cleora|TDGAB−1449
Cleora|TDGAB−1709
Cleora radula leptopasta|TDGAB−1721
Cleora dargei|TDGAB−2359
Cleora dargei|TDGAB−0075
Cleora rostella|Lope11−0539
Cleora rostella|Lope11−0509
Cleora rostella|TDGAB−1474
Cleora rostella|TDGAB−1431
Cleora rostella|Lope11−0095
Cleora rostella|TDGAB−0634
Cleora rostella|TDGAB−0078
Zeuctoboarmia|Lope11−0795
Zeuctoboarmia|Lope11−0794
Zeuctoboarmia|Lope11−0783
Zeuctoboarmia|Lope11−0780
Zeuctoboarmia|Lope11−0763
Zeuctoboarmia|Lope11−0116
Zeuctoboarmia|Lope11−0113
Zeuctoboarmia|Lope11−0065
Zeuctoboarmia|Lope11−0019
Zeuctoboarmia|Lope11−0010
Zeuctoboarmia|TDG
AB−2425
Zeuctoboarmia|TDG
AB−2285
Zeuctoboarmia|TDG
AB−1860
Zeuctoboarmia|TDG
AB−1617
Zeuctoboarmia|TDG
AB−1381
Zeuctoboarmia|TDGAB−0805
Zeuctoboarmia|TDGAB−0789
Zeuctoboarmia|TDGAB−0640
Zeuctoboarmia|TDGAB−0600
Zeuctoboarmia|TDGAB−0410
Geometridae|Lope11−0305
Geometridae|TDGAB−0067
Zeuctoboarmia|TDGAB−2165
Geometridae|TDGAB−0823
Zeuctoboarmia|TDGAB−0492
Zeuctoboarmia|TDGAB−0406
Geometridae|TDGAB−0224
Zeuctoboarmia|TDGAB−1286
Zeuctoboarmia|TDGAB−0824
Zeuctoboarmia|TDGAB−0157
Zeuctoboarmia|TDGAB−0815
Zeuctoboarmia|TDGAB−1113
Zeuctoboarmia|TDGAB−1124
Zeuctoboarmia|TDGAB−1001
Geometridae|TDGAB−0864
Geometridae|TDGAB−0455
Geometridae|TDGAB−1340
Tortricidae|Lope11−0646
Ennominae|TDGAB−1641
Ennominae|TDGAB−1140
Amusaron kolga|TDGABb−334
Racinoa|TDGAB−1261
Geometridae|TDGAB−2223
Geometridae|TDGAB−1235
Geometridae|TDGAB−0296
Scopula lactaria|TDGAB−1964
Idaea pulveraria|TDGAB−1792
Somatina chalyboeata|TDGAB−0631
Anisodes diplosticta|TDGAB−0090
Lasiocampidae|Lope11−0570
Lasiocampidae|Lope11−0177
Lasiocampidae|Lope11−0561
Lasiocampidae|TDGAB−1143
Lasiocampidae|TDGAB−0868
Lasiocampidae|TDGAB−0223
Lasiocampidae|TDGAB−1194
Lasiocampidae|TDGAB−0352
Lasiocampidae|TDGAB−1175
Epiplema|TDGAB−0063
Pyralidae|Lope11−0950
Pyralidae|TDGAB−1619
Pyralidae|TDGAB−1560
Pyralidae|TDGAB−1360
Pyralidae|TDGAB−1622
Pyralidae|TDGAB−1073
Pyralidae|Lope11−0375
Pyralidae|Lope11−0947
Pyralidae|TDGAB−2224
Pyralidae|Lope11−0820
Pyralidae|Lope11−0656
Pyralidae|Lope11−0626
Pyralidae|Lope11−0306
Pyralidae|TDGAB−0716
Pyralidae|TDGAB−1679
Pyralidae|TDGAB−1329
Pyralidae|TDGAB−1543
Pyralidae|TDGAB−1853
Pyralidae|TDGAB−1624
Pyralidae|TDGAB−1497
Pyralidae|TDGAB−0675
Pyralidae|TDGAB−0133
Pyralidae|TDGAB−1443
Pyralidae|TDGAB−0108
Pyralidae|TDGAB−1790
Pyralidae|TDGAB−1272
Pyralidae|TDGAB−1166
Pyralidae|TDGAB−0267
Pyralidae|TDGAB−0233
Pyralidae|Lope11−0822
Pyralidae|TDGAB−0607
Pyralidae|Lope11−0309
Pyralidae|Lope11−0372
Pyralidae|Lope11−0356
Pyralidae|TDGAB−2418
Pyralidae|TDGAB−2254
Pyralidae|TDGAB−2246
Pyralidae|TDGAB−2240
Pyralidae|TDGAB−2156
Pyralidae|TDGAB−2070
Pyralidae|TDGAB−2059
Pyralidae|TDGAB−0551
Pyralidae|TDGAB−0550
Pyralidae|TDGAB−0549
Pyralidae|TDGAB−0311
Pyralidae|TDGAB−0302
Pyralidae|TDGAB−2432
Pyralidae|TDGAB−2379
Pyralidae|TDGAB−1569
Pyralidae|TDGAB−0198
Pyralidae|TDGAB−0495
Pyralidae|TDGAB−0656
Pyralidae|TDGAB−0706
Pyralidae|TDGAB−1037
Pyralidae|TDGAB−1959
Pyralidae|TDGAB−2047
Pyralidae|TDGAB−2050
Pyralidae|TDGAB−2051
Pyralidae|TDGAB−2143
Pyralidae|TDGAB−2251
Pyralidae|TDGAB−1309
Pyralidae|TDGAB−0467
Pyralidae|TDGAB−0471
Pyralidae|Lope11−0617
Pyralidae|TDGAB−2250
Pyralidae|TDGAB−2079
Pyralidae|TDGAB−1952
Pyralidae|TDGAB−1660
Pyralidae|TDGAB−0792
Pyralidae|TDGAB−1951
Pyralidae|TDGAB−0119
Pyralidae|TDGAB−0099
Pyralidae|TDGAB−0084
Pyralidae|Lope11−0328
Pyralidae|TDGAB−2132
Pyralidae|TDGAB−1043
Pyralidae|TDGAB−0546
Pyralidae|TDGAB−1998
Pyralidae|TDGAB−1797
Pyralidae|TDGAB−0124
Pyralidae|TDGAB−2194
Pyralidae|TDGAB−2166
Pyralidae|TDGAB−2008
Pyralidae|TDGAB−0534
Pyralidae|TDGAB−1988
Pyralidae|TDGAB−1341
Pyralidae|TDGAB−2049
Pyralidae|TDGAB−1192
Pyralidae|TDGAB−1789
Pyralidae|TDGAB−0115
Pyralidae|TDGAB−0116
Pyralidae|TDGAB−0122
Pyralidae|TDGAB−1440
Pyralidae|TDGAB−1441
Pyralidae|TDGAB−0068
Pyralidae|Lope11−0374
Pyralidae|TDGAB−0684
Pyralidae|TDGAB−0073
Pyralidae|TDGAB−1647
Pyralidae|TDGAB−1304
Pyralidae|TDGAB−1980
Pyralidae|TDGAB−1545
Pyralidae|TDGAB−1871
Pyralidae|TDGAB−1862
Pyralidae|TDGAB−1802
Pyralidae|TDGAB−1496
Pyralidae|TDGAB−1663
Pyralidae|TDGAB−0703
Pyralidae|TDGAB−1430
Pyralidae|TDGAB−1799
Pyralidae|TDGAB−2133
Pyralidae|TDGAB−1101
Pyralidae|TDGAB−0188
Pyralidae|TDGAB−1301
Pyralidae|TDGAB−1530
Pyralidae|TDGAB−1480
Pyralidae|TDGAB−1796
Pyralidae|TDGAB−1447
Pyralidae|Lope11−0330
Pyralidae|TDGAB−0948
Pyralidae|TDGAB−1710
Pyralidae|TDGAB−0710
Pyralidae|TDGAB−0679
Pyralidae|TDGAB−0473
Pyralidae|Lope11−0332
Pyralidae|TDGAB−1726
Pyralidae|TDGAB−0474
Pyralidae|TDGAB−0146
Pyralidae|TDGAB−2421
Galleria mellonella|Lope11−0651
Pyralidae|Lope11−0543
Pyralidae|TDGAB−1076
Pyralidae|TDGAB−1009
Pyralidae|TDGAB−0992
Pyralidae|Lope11−0595
Pyralidae|Lope11−0022
Pyralidae|TDGAB−0144
Pyralidae|TDGAB−1712
Pyralidae|TDGAB−0615
Pyralidae|TDGAB−1415
Pyralidae|TDGAB−1575
Pyralidae|TDGAB−0126
Pyralidae|TDGAB−1894
Pyralidae|TDGAB−1495
Pyralidae|TDGAB−1769
Pyralidae|TDGAB−1689
Pyralidae|TDGAB−0719
Pyralidae|TDGAB−0437
Pyralidae|TDGAB−2316
Pyralidae|TDGAB−1711
Pyralidae|TDGAB−0751
Pyralidae|TDGAB−1202
Pyralidae|TDGAB−0261
Pyralidae|TDGAB−1184
Pyralidae|Lope11−0840
Pyralidae|TDGAB−1955
Pyralidae|TDGAB−1509
Pyralidae|TDGAB−0709
Pyralidae|TDGAB−0303
Pyralidae|TDGAB−1812
Pyralidae|Lope11−0322
Pyralidae|TDGAB−0695
Pyralidae|TDGAB−1969
Pyralidae|TDGAB−1967
Pyralidae|TDGAB−1965
Pyralidae|TDGAB−1899
Pyralidae|TDGAB−1420
Pardomima|Lope11−0853
Pardomima|TDGAB−0686
Crambidae|TDGAB−1724
Crambidae|Lope11−0550
Crambidae|Lope11−0063
Palpita bonjongalis|TDGAB−1844
Palpita bonjongalis|TDGAB−1613
Palpita bonjongalis|TDGAB−0748
Palpita bonjongalis|TDGAB−0100
Palpita bonjongalis|TDGAB−0025
Palpita bonjongalis|TDGAB−0026
Palpita bonjongalis|TDGAB−0030
Crambidae|Lope11−0545
Crambidae|TDGAB−2167
Crambidae|TDGAB−1997
Crambidae|TDGAB−1781
Agathodes|TDGAB−0797
Spilomelinae|TDGAB−1730
Spilomelinae|TDGAB−1609
Spilomelinae|TDGAB−0062
Crambidae|Lope11−0835
Crambidae|TDGAB−1203
Crambidae|TDGAB−1722
Crambidae|TDGAB−1706
Crambidae|TDGAB−1507
Crambidae|TDGAB−1354
Crambidae|TDGAB−0732
Crambidae|TDGAB−0623
Crambidae|TDGAB−1347
Crambidae|Lope11−0830
Crambidae|TDGAB−0643
Crambidae|Lope11−0829
Crambidae|Lope11−0547
Crambidae|TDGAB−1227
Crambidae|TDGAB−0309
Dolicharthria|Lope11−0373
Crambidae|TDGAB−2322
Crambidae|TDGAB−0698
Crambidae|TDGAB−0661
Crambidae|Lope11−0549
Crambidae|TDGAB−2385
Crambidae|Lope11−0548
Syllepte clementsi|TDGAB−1630
Syllepte clementsi|TDGAB−0647
Prophantis smaragdina|TDGAB−1425
Stemorrhages sericea|TDGAB−1686
Stemorrhages sericea|TDGAB−0889
Stemorrhages sericea|TDGAB−1044
Crambidae|Lope11−0082
Crambidae|TDGAB−0022
Crambidae|TDGAB−1841
Crambidae|TDGAB−0641
Crambidae|TDGAB−2069
Cadarena sinuata|TDGAB−2376
Cadarena sinuata|TDGAB−1598
Cadarena sinuata|TDGAB−0776
Crambidae|TDGAB−2284
Crambidae|TDGAB−1919
Crambidae|TDGAB−0024
Pleuroptya|Lope11−0551
Pleuroptya|TDGAB−1602
Pleuroptya|TDGAB−1542
Pleuroptya|TDGAB−0103
Pleuroptya|TDGAB−0653
Pleuroptya|TDGAB−0688
Pleuroptya|TDGAB−0727
Pleuroptya|TDGAB−0767
Pleuroptya|TDGAB−0769
Pleuroptya|TDGAB−1368
Pleuroptya|TDGAB−1413
Pleuroptya|TDGAB−1469
Pleuroptya|TDGAB−1437
Pleuroptya|TDGAB−0681
Pleuroptya|TDGAB−0652
Crambidae|TDGAB−2392
Crambidae|TDGAB−1842
Maruca vitrata|TDGAB−2369
Maruca vitrata|TDGAB−1375
Maruca vitrata|TDGAB−0609
Maruca vitrata|TDGAB−0860
Crambidae|Lope11−0831
Crambidae|Lope11−0555
Crambidae|TDGAB−1950
Crambidae|TDGAB−1625
Crambidae|TDGAB−0754
Crambidae|TDGAB−0701
Crambidae|TDGAB−0619
Crambidae|TDGAB−0087
Crambidae|Lope11−0007
Crambidae|Lope11−0006
Crambidae|TDGAB−1788
Crambidae|TDGAB−1462
Crambidae|TDGAB−0665
Crambidae|TDGAB−0720
Crambidae|TDGAB−1851
Crambidae|TDGAB−0676
Crambidae|TDGAB−1391
Thyrididae|TDGAB−0208
Crambidae|TDGAB−1338
Noctuidae|Lope11−0846
Noctuidae|Lope11−0358
Porthesaroa|Lope11−0634
Porthesaroa|Lope11−0350
Porthesaroa|Lope11−0297
Porthesaroa UD001|Lope11−0371
Noctuidae|TDGAB−1257
Noctuidae|Lope11−0823
Noctuidae|Lope11−0602
Noctuidae|Lope11−0311
Noctuidae|Lope11−0091
Noctuidae|TDGAB−1635
Noctuidae|TDGAB−0949
Noctuidae|TDGAB−2226
Noctuidae|TDGAB−1145
Noctuidae|TDGAB−1833
Noctuidae|TDGAB−1154
Noctuidae|TDGAB−0142
Noctuidae|Lope11−0348
Noctuidae|Lope11−0138
Noctuidae|Lope11−0132
Noctuidae|TDGAB−0778
Noctuidae|Lope11−0167
Noctuidae|TDGAB−0999
Noctuidae|TDGAB−0483
Noctuidae|TDGAB−0101
Noctuidae|TDGAB−2090
Noctuidae|TDGAB−2045
Noctuidae|TDGAB−0940
Noctuidae|TDGAB−0206
Noctuidae|TDGAB−0421
Stracena promelaena|Lope11−0061
Stracena promelaena|Lope11−0009
Stracena promelaena|TDGAB−1379
Stracena promelaena|TDGAB−2393
Stracena|TDGAB−2218
Stracena|TDGAB−1992
Stracena|TDGAB−2123
Stracena|TDGAB−1068
Stracena|TDGAB−1052
Stracena|TDGAB−0415
Stracena eximia|TDGAB−2412
Stracena eximia|TDGAB−2401
Stracena eximia|TDGAB−2363
Stracena eximia|TDGAB−1991
Stracena eximia|TDGAB−0588
Stracena eximia|TDGAB−0540
Stracena eximia|TDGAB−2217
Stracena eximia|TDGAB−0186
Noctuidae|TDGAB−1976
Noctuidae|TDGAB−1963
Noctuidae|TDGAB−1331
Lecithoceridae|Lope11−0647
Lecithoceridae|Lope11−0336
Lecithoceridae|TDGAB−1570
Drepanidae|TDGAB−1200
Opisthodontia superba|Lope11−0560
Opisthodontia superba|Lope11−0185
Opisthodontia superba|Lope11−0184
Opisthodontia superba|TDGAB−1418
Drepanidae|TDGAB−0505
Drepanidae|Lope11−0075
Drepanidae|TDGAB−2320
Drepanidae|TDGAB−0844
Drepanidae|TDGABb−320
Drepanidae|TDGAB−2098
Lepidoptera|TDGAB−1922
Cossidae|Lope11−0993
Cossidae|Lope11−0949
Cossidae|Lope11−0855
Cossidae|Lope11−0313
Cossidae|TDGAB−2323
Cossidae|TDGAB−1351
Cossidae|TDGAB−0939
Cossidae|TDGABb−316
Limacodidae|TDGAB−1879
Limacodidae|TDGAB−1700
Psychidae|Lope11−0578
Limacodidae|TDGAB−1220
Limacodidae|Lope11−0370
Limacodidae|Lope11−0362
Limacodidae|TDGAB−1979
Limacodidae|TDGAB−1614
Limacodidae|TDGAB−1512
Limacodidae|TDGAB−2163
Limacodidae|TDGAB−0712
Limacodinae|Lope11−0585
Limacodinae|Lope11−0295
Limacodinae|TDGAB−1752
Limacodinae|TDGAB−2154
Limacodinae|TDGAB−2222
Limacodinae|TDGAB−1278
Limacodinae|TDGAB−1258
Parasa|Lope11−0320
Parasa|TDGAB−1920
Parasa|TDGAB−1904
Parasa|TDGAB−2324
Parasa|TDGAB−0454
Parasa|TDGAB−2101
Parasa|TDGAB−2122
Parasa|TDGAB−1632
Parasa|TDGAB−0329
Limacodidae|TDGABb−367
Limacodidae|TDGAB−2428
Limacodidae|TDGAB−2006
Limacodidae|TDGAB−0816
Limacodidae|TDGAB−0770
Parasa|TDGAB−2419
Parasa|TDGAB−2358
Parasa|TDGAB−2326
Parasa|TDGAB−2149
Parasa|TDGAB−2022
Parasa|TDGAB−0887
Parasa|TDGAB−0391
Parasa|TDGAB−0277
Parasa|TDGAB−0194
Parasa|TDGAB−2414
Parasa|TDGAB−0819
Limacodidae|TDGAB−2350
Limacodidae|TDGAB−2349
Parasa|TDGAB−0760
Limacodidae|TDGAB−0821
Limacodidae|TDGAB−0725
Limacodidae|Lope11−0582
Limacodidae|Lope11−0355
Limacodidae|TDGAB−2157
Limacodidae|TDGAB−2023
Limacodidae|TDGAB−1406
Limacodidae|TDGAB−0135
Limacodidae|TDGAB−0993
Limacodidae|TDGAB−1843
Limacodidae|TDGAB−1779
Limacodidae|TDGAB−1071
Zygaenidae|TDGAB−2380
Lepidoptera|TDGAB−1813
Eriocottidae|TDGAB−1958
Eriocottidae|TDGAB−1954
Cossidae|TDGAB−1973
Cossidae|TDGAB−0460
Psychidae|Lope11−0927
Psychidae|TDGAB−1592
Psychidae|Lope11−0625
Psychidae|Lope11−0189
Psychidae|TDGAB−1808
Psychidae|Lope11−0640
Psychidae|Lope11−0317
Tineidae|TDGAB−1974
Tineidae|TDGAB−1573
Geometridae|Lope11−0553
Lepidoptera|TDGAB−1465
Lepidoptera|TDGAB−0704
Lymantriinae|Lope11−0833
Lymantriinae|Lope11−0076
Lymantriinae|Lope11−0073
Notodontidae|TDGAB−2026
Notodontidae|TDGAB−1405
Notodontidae|TDGAB−0138
Notodontidae|TDGAB−1917
Notodontidae|TDGAB−0837
Limacodidae|Lope11−0444
Tortricidae|TDGAB−2375
Tortricidae|TDGAB−2241
Tortricidae|TDGAB−0307
Tortricidae|TDGAB−2270
Tortricidae|TDGAB−2072
Parajana gabunica|Lope11−0978
Limacodidae|TDGAB−1760
Limacodidae|TDGAB−1676
Notodontidae|Lope11−0944
Notodontidae|TDGAB−1300
Notodontidae|TDGAB−1981
Notodontidae|TDGAB−1608
Notodontidae|TDGAB−0971
Notodontidae|Lope11−0931
Notodontidae|TDGAB−1794
Notodontidae|TDGAB−2162
Notodontidae|Lope11−0622
Notodontidae|TDGAB−2306
Notodontidae|TDGAB−1021
Notodontidae|TDGAB−0213
Notodontidae|Lope11−0045
Notodontidae|TDGAB−1050
Notodontidae|TDGAB−0888
Notodontidae|TDGAB−0994
Notodontidae|TDGAB−0995
Notodontidae|Lope11−0557
Notodontidae|Lope11−0182
Notodontidae|TDGAB−1928
Notodontidae|TDGAB−1999
Notodontidae|TDGAB−1918
Notodontidae|TDGAB−0254
Notodontidae|TDGAB−0239
Notodontidae|TDGAB−0284
Notodontidae|TDGAB−0334
Notodontidae|TDGAB−0488
Notodontidae|TDGAB−0803
Notodontidae|TDGAB−1033
Notodontidae|TDGAB−1102
Notodontidae|TDGAB−1172
Notodontidae|TDGAB−1174
Notodontidae|TDGAB−1811
Notodontidae|TDGAB−1058
Notodontidae|TDGAB−0976
Notodontidae|TDGAB−0269
Notodontidae|TDGAB−0827
Notodontidae|TDGAB−2130
Notodontidae|TDGAB−0954
Notodontidae|TDGAB−0501
Notodontidae|TDGAB−0969
Notodontidae|TDGAB−2422
Notodontidae|TDGAB−1307
Notodontidae|TDGAB−1095
Notodontidae|TDGAB−2282
Notodontidae|TDGAB−2146
Notodontidae|TDGAB−0592
Notodontidae|TDGAB−0403
Notodontidae|TDGAB−0389
Notodontidae|TDGAB−0582
Notodontidae|TDGAB−0989
Notodontidae|TDGAB−0526
Notodontidae|TDGAB−0771
Notodontidae|TDGAB−2040
Notodontidae|TDGAB−0462
Notodontidae|TDGAB−1720
Notodontidae|TDGAB−1303
Notodontidae|TDGAB−0937
Notodontidae|TDGAB−0357
Notodontidae|Lope11−0935
Notodontidae|TDGAB−1028
Notodontidae|TDGAB−0333
Notodontidae|TDGAB−2327
Notodontidae|TDGAB−2028
Notodontidae|TDGAB−1384
Notodontidae|TDGAB−0363
Notodontidae|TDGAB−0136
Notodontidae|TDGAB−1007
Notodontidae|Lope11−0170
Notodontidae|TDGAB−1435
Notodontidae|Lope11−0596
Notodontidae|TDGAB−2071
Notodontidae|TDGAB−2086
Notodontidae|TDGAB−1748
Notodontidae|TDGAB−0836
Notodontidae|TDGAB−1896
Notodontidae|TDGAB−0870
Notodontidae|TDGAB−1320
Notodontidae|TDGAB−1153
Notodontidae|TDGAB−1036
Notodontidae|TDGAB−1024
Notodontidae|TDGAB−1164
Notodontidae|TDGAB−1020
Notodontidae|TDGAB−0344
Notodontidae|TDGAB−1003
Notodontidae|Lope11−0104
Notodontidae|TDGAB−0091
Notodontidae|TDGAB−1658
Notodontidae|TDGAB−1472
Notodontidae|Lope11−0163
Notodontidae|Lope11−0161
Notodontidae|TDGAB−0574
Notodontidae|TDGAB−0286
Notodontidae|TDGAB−0107
Notodontidae|Lope11−0077
Notodontidae|TDGAB−1193
Notodontidae|TDGAB−2134
Notodontidae|TDGAB−1042
Notodontidae|TDGAB−1332
Notodontidae|TDGAB−1094
Notodontidae|TDGAB−1171
Notodontidae|TDGAB−1035
Notodontidae|TDGAB−1167
Notodontidae|TDGAB−1147
Notodontidae|TDGAB−0273
Notodontidae|TDGAB−1122
Notodontidae|TDGAB−1091Notodontidae|TDGAB−1136Arctiinae|Lope11−0819Arctiinae|TDGAB−1221Erebinae|Lope11−0777Notodontidae|Lope11−0589Notodontidae|TDGAB−1210Notodontidae|Lope11−0490Notodontidae|TDGAB−0083Notodontidae|TDGAB−1506Notodontidae|TDGAB−1005Notodontidae|Lope11−0123Notodontidae|TDGAB−1199Notodontidae|TDGAB−0838Notodontidae|TDGAB−0538Notodontidae|TDGAB−0524Notodontidae|TDGAB−0364Notodontidae|TDGAB−1666Notodontidae|TDGAB−1370Notodontidae|Lope11−0877Notodontidae|Lope11−0011Notodontidae|TDGAB−0553Notodontidae|TDGABb−345Notodontidae|TDGAB−0850Notodontidae|Lope11−0798Notodontidae|TDGAB−2033Notodontidae|Lope11−0048Notodontidae|TDGAB−0840Notodontidae|TDGAB−0533Notodontidae|TDGAB−1196Notodontidae|TDGAB−2308Notodontidae|TDGAB−2286Notodontidae|TDGAB−0968Notodontidae|TDGAB−0394Notodontidae|TDGAB−0865Notodontidae|TDGAB−0934Notodontidae|TDGAB−2097Notodontidae|TDGAB−1225Notodontidae|TDGAB−1191Notodontidae|TDGAB−0187Notodontidae|TDGAB−2048Notodontidae|TDGAB−0857Notodontidae|TDGAB−1156Notodontidae|Lope11−0797Notodontidae|TDGAB−0904Notodontidae|Lope11−0069Notodontidae|TDGAB−0910Notodontidae|TDGAB−0908Notodontidae|TDGAB−0897Notodontidae|TDGAB−0589Notodontidae|TDGAB−1492Notodontidae|TDGAB−1483Notodontidae|TDGAB−0915Notodontidae|TDGAB−0280Notodontidae|TDGAB−0354Antheua|Lope11−0854Antheua|TDGAB−0890Antheua|Lope11−0520Antheua|TDGAB−1683Antheua|TDGAB−0822Antheua|TDGAB−1741Antheua|TDGAB−1890Antheua|TDGAB−1866Antheua|TDGAB−1162Antheua|TDGAB−0839Phalerinae|TDGAB−0036Lechriolepis|TDGABb−380Lechriolepis|TDGABb−379Lechriolepis|TDGAB−0504Lechriolepis|TDGAB−0536Lechriolepis|TDGAB−0336Lechriolepis|TDGAB−0506Notodontidae|TDGAB−2024
5%
Noctuidae (224,397)
Geometridae (220,540)
Lymantriinae (164,346)
Arctiinae (113,404)
Notodontidae (104,272)
Lasiocampidae (101,242)
Erebinae (72,193)Pyralidae (70,172)
Sphingidae (66,267)
Crambidae (52,109)
Saturniidae (43,177)
Limacodidae (30,59)Eupterotidae (15,40)Cossidae (11,19)
Others (40,72)
5%
Page 42 of 45
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GenomeG
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Draft
BrahmaeidaeUraniidae
BombycidaeEriocottidae
LecithoceridaeTineidae
EuteliidaeTortricidaePsychidae
ZygaenidaeDrepanidae
CossidaeEupterotidae
NolidaeLimacodidae
ThyrididaeCrambidae
PyralidaeErebinae
Other_ErebidaeLasiocampidae
ArctiinaeSaturniidae
LymantriinaeSphingidae
NotodontidaeGeometridae
Noctuidae
Number of BINs/species0 50 100 150 2000 50 100 150 200
Number of species in AfroMothsNumber of BINs observed
Page 43 of 45
https://mc06.manuscriptcentral.com/genome-pubs
GenomeG
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Draft
01000
20003000
0 200 400 600 800 1000 1200
A
# of individuals
# of BINs
IpassaLopéLopé W
SLopé D
S
01000
20003000
0.0 0.2 0.4 0.6 0.8
B
# of individuals
Sample coverage
0.00.2
0.40.6
0.8
0 200 400 600 800 1000 1200
C
Sample coverage
# of BINs
Page 44 of 45
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GenomeG
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