catch me if you can: species interactions and moon ... › content › 10.1101 ›...
TRANSCRIPT
1
1 Title
2 Catch me if you can: Species interactions and moon illumination effect on mammals of tropical
3 semi-evergreen forest of Manas National Park, Assam, India
4 Bhatt U.M1, Habib B1, Sarma H.K2 & Lyngdoh S.L*1
5 Corresponding author – [email protected]
6 Department of Animal Ecology & Conservation Biology, Wildlife Institute of India, Dehradun 248001
7 Field Director, Govt. of Assam, Barpeta Road 781315
8 Abstract
9 Species interaction plays a vital role in structuring communities by stimulating behavioral
10 responses in temporal niche affecting the sympatric associations and prey-predator
11 relationships. We studied relative abundance indices (RAI) and activity patterns of each
12 species, temporal overlap between sympatric species, and effects of moon cycle on predator-
13 prey relationships, through camera-trapping in tropical semi-evergreen forests of Manas
14 National Park. A total of 35 species were photo-captured with 16214 independent records over
15 7337 trap nights. Overall, relatively high number of photographs was obtained for large
16 herbivores (11 species, n=13669), and low number of photographs were recorded for large
17 carnivores (five species, n=657). Activity periods were classified into four categories: diurnal
18 (day-time), nocturnal (night-time), crepuscular (twilight), and cathemeral (day and night time)
19 of which 52% records were found in diurnal period followed by 37% in nocturnal phase
20 whereas only 11% photographs during twilight. Small carnivores were strictly nocturnal
21 (leopard cat and civets) or diurnal (yellow-throated marten and mongooses); whereas large
22 carnivores were cathemeral (tiger, leopard, clouded leopard and Asiatic black bear). Analysis
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
2
23 of activity patterns throughout the 24-h cycle revealed a high degree of temporal overlap
24 (>60%) among most of the sympatric species; however, differences in the activity peaks were
25 found between most of the species pairs. Moon phase was classified according to the
26 percentage of visible moon surface as new (0-25%), waxing (25-50%), waning (50-75%) and
27 full moon (75-100%). Moon phase did not have any correlation with activity of large carnivore
28 and large prey. The large carnivore followed the feed and starve pattern of cyclic activity. The
29 activity of small carnivore was influenced negatively by moonlight (partial correlation r = -0.221,
30 p<0.01). The result suggests that large carnivores were active non-differentially across moon
31 phases; however, small carnivores showed significantly high activity in darker nights. These
32 patterns indicate that small predators may differ their activity temporally as an anti-predator
33 strategy or otherwise to increase their foraging efficiency.
34 Keywords
35 Camera-trapping, tropical forest, temporal overlap, sympatric, moon phase, prey-predator
36 relationship
37 Introduction
38 Species interactions are one of the most studied areas in community ecology, as interspecific
39 behavior can largely regulate the composition and structure of community assemblages [1].
40 There are numerous studies about coexistence and resource partitioning between carnivores in
41 tropical forests [2,3], but few focuses on activity patterns and temporal segregation. For
42 carnivores, interspecific interactions are particularly relevant because of their role in the top-
43 down control and also serve as flagship species in the conservation of biodiversity in many
44 terrestrial ecosystems [4]. Though, given the vital role of consumers and through trophic
45 cascades, changes in the environment could promote an increase of medium-sized carnivores
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
3
46 or mesopredators, due to top predator removal [5] which can cause substantial changes in the
47 dynamics of interaction among sympatric species [6], with adverse effects on subordinate
48 species. Thus, to minimize risks, subordinate species tend to avoid encounters with dominant
49 species [7], by modifying their activity patterns according to that of the dominant species [8].
50 Often, the prey tries to avoid the times when predators are more active [9] or segregate in other
51 niche dimensions [10].
52 Moon cycle is reported to play a significant role in activity changes, and several nocturnal
53 animals can alter their activity in response to moonlight variation [11]. Animals may adapt
54 their schedules throughout the circadian cycle to increase their fitness and allow their mutual
55 co-existence [12]. The dynamics between predators and prey depend on these adaptions too,
56 leading to a balance between their activity patterns [13]. For instance, some mammals, such as
57 rodents [11,14] and bats [15] are known to reduce their activity in brighter nights, allocate it to
58 darker periods of the night [16,17] or seek for covered areas [18,14]. This behavior is thought
59 to be due to an increment of predators hunting success during these nights [15,11,14,19,20].
60 On the other hand, other species, such as some primates [21] and some nocturnal birds [22] are
61 also known to be more active in brighter nights. This increment of activity may be related to
62 both higher predator awareness and increased food uptake success [21,22,]. Amongst abiotic
63 factors, moon cycle is reported to play an essential role in niche adaptions [11,10,23]. Several
64 nocturnal animals change their activity patterns [17,24] and habitat use [18,14,25] due to
65 moonlight and the level of that response classifies species as lunarphobic [15] or lunarphilic
66 [21]. Many species’ interaction with the lunar cycles remain still unknown, however, and a
67 better perception of the responses of other small and large sized mammals to moonlight is
68 therefore required for a full understanding of its effects.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
4
69 The tropical forest contains some of the highest levels of species diversity and abundance, but
70 many tropical species are cryptic, shy, and secretive, which makes them notoriously difficult
71 to study and their interactions with one another, remain poorly understood [26]. Recently
72 however with camera-traps, monitoring terrestrial rare, cryptic and secretive species in tropical
73 forests has become effective [27,28]. The technique has improved our ability to study terrestrial
74 movements of Asian tropical forest fauna [29], species diversity [30], the associations among
75 species [31], and their habitats [32]. In addition to recording the presence and abundance data
76 of such taxa, date and time of the captures can help in understanding the activity patterns of
77 carnivores and other mammals [29,33,34].
78 In the current study, we examine activity rhythms and effect of the moon cycle on mammals in
79 the semi-evergreen forest of Manas National Park, India, using camera traps. Objectives of the
80 study were to: 1) determine relative abundance indices (RAI) and species assemblage of MNP;
81 2) determine activity periods of each species; 3) quantify temporal overlap patterns between
82 species; and 4) investigate moonlight effect on the activity of sympatric species. Such data can
83 be used to study processes shaping ecological communities, especially whether potentially
84 competing species overlap or avoid each other temporally, and how larger species might
85 influence activity of their smaller cohorts in the same habitat. This information contributes to
86 an understanding of species interactions in tropical forests and should assist in developing more
87 suitable management and conservation strategies for forest communities in the Himalayan
88 foothills.
89 Materials and Methods
90 Study Area
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
5
91 The study was carried out within the 500 km2 of Manas National Park (MNP) (26°35' - 26°50'
92 N, 90°45' - 91°15' E), a UNESCO World Heritage Site, in the state of Assam, India. Manas lies
93 on the borders of the Indo-Gangetic and Indo-Malayan biogeographical realms on a gentle
94 alluvial slope in the foothills of the Himalayas, where wooded hills give way to grasslands and
95 tropical forest. The elevation ranges between 40-170 m moll with an average of 85 m [35]; the
96 monsoon brings extremely heavy rainfall to this region, reaching up to 3,300 mm annually and
97 temperature ranges between 6-37 0C [35]. The park is home to a variety of important mammal
98 species, including the tiger, pygmy hog, hispid hare and Asian elephant [36] and also it supports
99 22 of India’s most threatened mammal species, as listed in Schedule-I of the Wildlife
100 (Protection) Act of India [37]. Together with the Royal Manas National Park in Bhutan, the
101 park forms one of the largest areas for conservation significance in South Asia, representing
102 the full range of habitats from the subtropical plains to the alpine zone [38]. MNP acquires a
103 special place from conservation aspect owing to its tropical forests, endemism and a long
104 history of social and political conflict [39]. The national park experienced a fifteen-year-long
105 ethnic and political battle starting in the mid-1980s until fledgling peace was restored in 2003
106 [40]. The violence during the conflict that followed caused large-scale damages to Manas and
107 left the park vulnerable to logging, local hunting, and poaching of important fauna, causing
108 habitat degradation and rapid loss of wildlife [41,42].
109 Methods
110 1. Field sampling design
111 Data on RAI and species assemblage was collected by deploying camera-traps (n=241) during
112 two sample periods: April 2017 to June 2017 (n=112) and December 2017 to May 2018
113 (n=129), with the whole area divided into a grid system of size 1×1 sq. km (Fig 1). The camera-
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
6
114 trap locations were selected based on the presence of carnivore sign, accessibility, terrain
115 features, animal trails and nallahs (seasonal drainages). At each location, a single Cuddeback-
116 color™ digital camera was set by affixing it to trees at the height of approximately 30-45 cm
117 to above the ground. The cameras were triggered by motion sensor within a range of a conical
118 infrared beam and time lag of approximately 1s between the animal detection. Relative
119 abundance index (RAI) was calculated as the sum of all detections for each species for all
120 camera traps over all days, divided by the total number of camera trap nights, and then
121 multiplied by 100 [43]. To maintain statistical independence and to reduce bias caused by
122 repeated detections of the same species, one record of each species per half an hour per hours
123 per camera-trap site was considered as an independent detection and subsequent records were
124 removed [44]. No bait was used, to avoid disproportionate increases in the frequency of some
125 species [45].
126 Fig 1. Map of the study area (MNP) showing locations of camera traps (n = 241), grids,
127 drainage and forest cover.
128 2. Activity periods
129 The date and time printed on the photographs were used to describe diel activity periods of
130 each species. The assumption was made that the number of camera trap records taken at various
131 times is correlated with the daily activity patterns of mammals. The date and time printed on
132 the photographs were used to describe the daily activity patterns of the species. As some species
133 may be partly arboreal, and the camera-traps only recorded activity at ground-level, it is not
134 possible to assess arboreal activity. The observations were classified as diurnal, nocturnal,
135 cathemeral or crepuscular. Photos that captured an hour before and after sunrise and sunset
136 were defined as crepuscular [46]. Sunset and sunrise hours were determined using geographical
137 coordinates of the study area and the Moonphase SH software (version 3.3; Henrik Tingstrom,
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
7
138 Kalmar, Sweden). Species were classified as diurnal (<10% of observations in the dark),
139 nocturnal (<90% of observations in the dark), mostly diurnal (between 10-30% of observations
140 in the dark), mostly nocturnal (between 70-90% of observations in the dark) and crepuscular
141 (50% of observations during the crepuscular phase), the rest of the species were classified as
142 cathemeral [47].
143 3. Activity analysis
144 Kernel density estimation curves were used to describe the activity patterns of each species; a
145 non-parametric way to estimate the probability density function of a distribution of records
146 which assumes that an animal is equally likely to be captured at any time as long as it is active
147 [47]. Overlap coefficients among the daily activity patterns of sympatric carnivores and
148 potential prey were estimated using Overlap package [47] for R-software version 3.1.2 (R
149 Development Core Team, 2011). Overlap coefficients (∆) is defined as the area under the curve
150 that is formed by taking the minimum of the two density functions at each time point ranging
151 from 0 (no overlap), if species have no common active period, to 1 (complete overlap), if the
152 activity densities of two species are identical [48]. The chosen estimator for overlapping was
153 Δ1 or Δ4, depending upon the sample size. Δ4 estimator for the coefficient of overlap was used
154 if both samples are larger than 50, whereas Δ1 was used for small sample size [47]. Data were
155 bootstrapped (99 samples) to extract 95% confidence intervals (CI) from the overlap
156 coefficients [26,49].
157 4. Moon phase
158 Moonphase SH software, version 3.3 was used to assess the effect of the moon phase on the
159 activity of mammals. The software classifies moon phase of records, according to the
160 percentage of visible moon surface, as follows: 0-25% [New Moon (New)], 25-75% [first
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
8
161 quarter - Waxing Moon (Wx) & last quarter - Waning Moon (Wn)] and 75-100% [Full Moon
162 (Full)]. Then, the records from each moon phase were selected to assess the effect of the
163 moonlight and positioning on the time schedules of large – small carnivores and their potential
164 prey, during lunar cycle. One-way analysis of variance (ANOVA), Tukey HSD (honestly
165 significance difference) for Post-Hoc, and partial correlation tests were conducted to measure
166 the degree of association and pairwise comparisons among records of predator-prey in each
167 moon phase.
168 Results
169 1. Relative abundance indices & species assemblage
170 A total of 35 species were recorded with 16,214 independent records over the whole sampling
171 period of 7337 trap nights. The independent records (n) and relative abundance index (RAI)
172 for the photo-captured species varied from species-wise ranging from Neofelis nebulosa (n=7,
173 RAI=0.0011) to Panthera pardus (n=298, RAI=0.0417) for large – medium carnivores, from
174 Melogale moschata (n=1, RAI=0.0001) to Prionailurus bengalensis (n=221, RAI=0.0366) for
175 small carnivore, from Axis axis (n=1, RAI=0.0003) to Elephas maximus (n=4675,
176 RAI=0.5696) for large herbivores, and from Caprolagus hispidus (n=1, RAI=0.0002) to Gallus
177 gallus (n=574, RAI=0.0853) for small herbivores. The summarised photo captures with RAI
178 of all the species are given in table 1.
179
180
181
182
183
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
9
184 Table 1. Activity periods of photo-captured species through camera-trapping in Manas
185 National Park, Assam, India.
SR No Species RAI N Photographic events (%) ClassificationDiurnal Nocturnal Crepuscular
Large Carnivores1 Panthera tigris 0.0367 269 39 50 12 Cathemeral2 Panthera pardus 0.0417 298 58 35 7 Cathemeral3 Cuon alpinus 0.0099 56 66 9 25 Diurnal4 Ursus thibetanus 0.0029 27 44 41 15 Cathemeral
Medium Carnivore5 Neofelis nebulosa 0.0011 7 14 86 0 Mostly Nocturnal
Small Carnivores6 Felis chaus 0.0004 3 0 100 0 Nocturnal7 Prionailurus bengalensis 0.0366 221 10 78 12 Mostly Nocturnal8 Viverra zibetha 0.0303 209 5 88 7 Mostly Nocturnal9 Viverricula indica 0.0212 114 7 82 11 Mostly Nocturnal10 Paradoxurus hermaphroditus 0.0164 104 14 69 16 Cathemeral11 Herpestes auropunctatus 0.0022 13 92 0 8 Diurnal12 Herpestes edwardsii 0.0017 10 100 0 0 Diurnal13 Herpestes urva 0.0088 62 89 3 8 Diurnal14 Lutrogale perspicillata 0.0018 10 70 30 0 Mostly Diurnal15 Martes flavigula 0.0023 16 75 0 25 Diurnal16 Melogale moschata 0.0001 1 0 100 0 Nocturnal17 Manis pentadactyla 0.0002 1 0 100 0 Nocturnal
Large Prey18 Elephas maximus 0.5696 4675 61 28 11 Mostly Diurnal19 Rhinoceros unicornis 0.0029 21 14 86 0 Mostly Nocturnal20 Bos gaurus 0.3457 2949 48 39 13 Cathemeral21 Bubalus arnee 0.0236 160 26 63 12 Cathemeral22 Axis axis 0.0003 1 0 0 100 Crepuscular23 Muntiacus muntjak 0.1492 1068 58 31 11 Cathemeral24 Hyelaphus porcinus 0.0050 35 40 37 23 Cathemeral25 Rusa unicolor 0.3395 2414 22 67 11 Cathemeral26 Sus scrofa 0.2517 1685 80 11 9 Mostly Diurnal27 Hystrix brachyura 0.0564 319 4 83 13 Mostly Nocturnal28 Pavo cristatus 0.0447 342 92 3 5 Diurnal
Small Prey29 Lepus nigricolis 0.0082 52 12 81 8 Mostly Nocturnal30 Caprolagus hispidus 0.0002 1 0 100 0 Nocturnal31 Macaca mulatta 0.0451 317 87 1 12 Diurnal32 Macaca assamensis 0.0010 8 100 0 0 Diurnal33 Trachypithecus pileatus 0.0014 10 100 0 0 Diurnal34 Gallus gallus 0.0853 574 75 10 15 Mostly Diurnal35 Lophura leucomelanos 0.0232 164 54 18 28 Mostly Diurnal
Total (N) 16214 52 37 11
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
10
186 2. Activity periods of photo-captured species
187 Activity periods for 35 species depicts that the boundaries between the categories (diurnal,
188 nocturnal, cathemeral or crepuscular) of activity periods are not sharp (Table 1). However,
189 some animals restrict their routine activities to either the light or the dark phase, and rare
190 observations in the other period may represent activity elicited by unusual circumstances.
191 (i). Carnivores: Small carnivores were either mainly nocturnal such as Prionailurus
192 bengalensis, Viverra zibetha, and Viverricula indica, or diurnal such as Martes flavigula,
193 Lutrogale perspicillata, Herpestes urva, Herpestes auropunctatus and Herpestes edwardsii;
194 whereas Paradoxurus hermaphroditus with 69% photographs in the dark phase fell under the
195 cathemeral category (Table 1). Out of the five large – medium carnivore species; three large
196 body-sized mammals (Panthera tigris, Panthera pardus, and Ursus thibetanus) were
197 cathemeral, Cuon alpinus was diurnal, and Neofelis nebulosa was found with nocturnal nature
198 (Table 1).
199 (ii). Herbivores: Large herbivores were either mainly cathemeral such as Bos gaurus,
200 Bubalus arnee, Muntiacus muntjak, Hyelaphus porcinus, and Rusa unicolor, or diurnal such as
201 Elephas maximus, and Sus scrofa (Table 1). The only large herbivore tending toward
202 nocturnality was the Rhinoceros unicornis (Table 1). Terrestrial birds (Gallus gallus, Lophura
203 leucomelanos, Pavo cristatus) and primates (Macaca mulatta, Macaca assamensis,
204 Trachypithecus pileatus) were diurnal; whereas the routine activity of hares (Lepus nirgicolis,
205 Caprolagus hispidus) and Himalayan crestless porcupine (Hystrix brachyura) suggested
206 nocturnal nature of the species (Table 1).
207 3. Activity pattern and temporal overlap between sympatric
208 species
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
11
209 (i). Small carnivores: Eight small carnivores were sufficiently common to evaluate their
210 diel activity pattern (Fig 2). Civets and leopard cats were active during night hours; whereas
211 mongooses and yellow-throated martens were active during the daytime (Fig 2). All four
212 nocturnal small carnivores had shown high temporal overlap between them, with the highest
213 overlap was found between leopard cat and small Indian civet with an overlap coefficient,
214 Δ4=0.93 (±0.15), followed by leopard cat and large Indian civet (Δ4=0.90); whereas least
215 overlap (Δ4=0.74) was found between large Indian civet and palm civet (Fig 2). Leopard cat
216 had a strong bimodal pattern, with a stronger peak at around 23:00 hr and a less pronounced
217 peak from about 01:00 to 04:00 hr. Large Indian civet also showed the bimodal pattern as it
218 increases post-sunset and reaches its peak at around 22:00 hr and then starts to decline; again,
219 it starts rising post-midnight and reaches its peak at about 01:00 hr and then begins to fall (Fig
220 2). Other two civets (small Indian civet and Asian palm civet) had also shown a bimodal
221 pattern, but with differences in peaks; less pronounced peaks for both the species were between
222 19:00 to 23:00 hr and 03:00 hr, whereas stronger peaks were about at 04:00 hr and 17:00 to
223 22:00 hr respectively (Fig 2). High temporal overlap was found between all the four diurnal
224 small carnivores, with the highest coefficient value of Δ1=0.84 (±0.09) between crab-eating
225 mongoose and yellow-throated marten, followed by crab-eating mongoose and grey mongoose
226 (Δ1=0.77); whereas least coefficient value (Δ1=0.54) was found between small Indian
227 mongoose and yellow-throated marten (Fig 2). Small Indian mongoose showed a unimodal
228 pattern, and it increases post 05:00 hr and reaches its peak at around 11:00 hr and then starts to
229 decline gradually until 18:00 hr (Fig 2). Grey mongoose, crab-eating mongoose, and yellow-
230 throated marten were active throughout the light phase, had a bimodal activity pattern, with a
231 stronger peak at 06:00, 15:00 and 16:00 hr, whereas less pronounce peak at 15:00, 08:00 and
232 06:00 hr respectively (Fig 2). Melogale moschata (n=1), Felis chaus (n=3), and Lutrogale
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
12
233 perspicillata (n=10) had the fewest detections and therefore, were not considered for activity
234 analysis (Table 1).
235 Fig 2. Temporal overlap among small carnivores in Manas National Park, Assam, India.
236 Individual photograph times are indicated by the short vertical lines above the x-axis. The
237 overlap coefficient (Δ1 / Δ4) is the area under the minimum of the two density estimates, as
238 indicated by the shaded area in each plot. The abbreviations of species’ names are CEM-Crab-
239 eating Mongoose, SIM-Small Indian Mongoose, GM-Grey Mongoose, YTM-Yellow Throated
240 Marten, LC-Leopard Cat, LIC-Large Indian Civet, SIC-Small Indian Civet, and PC- Palm
241 Civet.
242 (ii). Large carnivores: Among the activity patterns of large carnivores, tigers and leopards
243 showed the highest daily activity overlap Δ4 = 0.82 (± 0.03) for any 2 species of top carnivores
244 in the study area, followed by leopards and Asiatic black bears (Δ1 = 0.82); whereas lowest
245 overlap Δ1 = 0.10 (± 0.07) was found between clouded leopards and dholes (Fig 3). Leopard
246 was active throughout the day and night but was more active during daylight, with peaks in the
247 early morning and late afternoon; tiger had also shown cathemeral activity pattern but was least
248 active from about 10:00 to 15:00 hr (Fig 3). Two activity peaks (between 21:00 and 23:00 hr
249 and between 2:00 and 4:00 hr) were observed for clouded leopards, suggesting a bimodal
250 activity pattern of the species (Fig 3). Dholes, showed a unimodal pattern of activity, with
251 peaks between 06:00 to 09:00 hr (Fig 3). However, Asiatic black bears were relatively
252 cathemeral, with 44% of their photo-captures obtained during daytime and 41% records
253 obtained during night-time; whereas least activity was observed between 20:00 to 02:00 hr
254 (Table 1, Fig 3). A synchronized least-active pattern was noted between midnight and 03:00 hr
255 for all the detected large carnivores (Fig 3).
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
13
256 Fig 3. Temporal overlap among large carnivores in Manas National Park, Assam, India.
257 Individual photograph times are indicated by the short vertical lines above the x-axis. The
258 overlap coefficient (Δ1 / Δ4) is the area under the minimum of the two density estimates, as
259 indicated by the shaded area in each plot. The abbreviations of species’ names are T-Tiger, L-
260 Leopard, CL-Clouded Leopard, WD-Wild Dog, and ABB-Asiatic Black Bear.
261 (iii). Carnivores and their prey: High temporal overlap was found among nocturnal
262 prey species such as Indian hare with leopard cats and civets whereas red junglefowl, and kalij
263 pheasant was active during the daytime, hence had shown large overlaps with mongooses and
264 yellow-throated marten (Fig 4a). Activity patterns of large carnivores and its prey showed
265 variable temporal overlap with the highest overlap between tiger and wild buffalo (84%)
266 followed by sambar (84%), hog deer (84%), and gaur (79%) (Fig 4b). In case of leopard highest
267 overlap was found with hog deer (76%) followed by gaur (74%), barking deer (72%) and wild
268 buffalo (72%) (Fig 4b). Clouded leopard had shown highest overlap with Himalayan crestless
269 porcupine (66%), followed by sambar (65%) whereas dhole had maximum overlap with wild
270 boar (52%) and barking deer (50%) (Fig 4b). Chital (n=1) and hispid hare (n=1) had only one
271 detection and therefore, were not considered for the analysis (Table 1).
272 Fig 4. Pairwise temporal overlap (Δ1 / Δ4) between (a) small carnivore vs. prey and (b)
273 large carnivore vs. prey in Manas National Park, Assam, India. The bars indicate
274 percentage temporal overlap among carnivore species with potential prey and the whiskers
275 above the bars indicate standard errors.
276 4. Moon phase effect on prey-predator relationship
277 Photographs of large carnivores, small carnivores, and potential prey species were analysed
278 during four moon cycles (New, Wx, Full, and Wn) (Fig 5). Differences were observed in
279 carnivore community with respect to the moon cycle, with highest records of large carnivores
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
14
280 in full moons except for dhole while small carnivores had more photographs at new moon
281 phase, except for Asian palm civet (Fig 5). Dhole activity was found mainly diurnal with only
282 9% photographs in nocturnal periods, out of which around 58% records were recorded in darker
283 nights (Fig 5). On the other hand, Asian palm civet had more photographs in full moon (33%);
284 and 21% photographs were recorded in new moon phase (Fig 5). All three photo-captured small
285 prey such as red junglefowl, kalij pheasant, and Indian hare had more photographs in the new
286 moon phase (Fig 5). Larger prey showed almost uniform activity in all moon phases, with
287 highest records in new moon (wild buffalo, hog deer, wild boar, Himalayan crestless porcupine
288 and Indian peafowl); whereas the remaining three species (gaur, barking deer and sambar) had
289 more photographs in a full moon (Fig 5).
290 Fig. 5. The proportion of nocturnal records of (a) small carnivore vs. prey, (b) large
291 carnivore vs. prey, and (c) large carnivore vs. small carnivore in different moon phases
292 in Manas National Park, Assam, India. The bars indicate species records in different moon
293 phases. The dashed line is to separate small carnivore and their prey, large carnivore and their
294 prey, large carnivore and small carnivore respectively.
295 One-way ANOVA result pointed significant difference only for small carnivore (F= 5.007,
296 p<0.005) and for small prey (F= 3.697, p<0.05). In case of small carnivores, the Tukey’s HSD
297 for post-hoc result showed significant more records in new moon (mean differences= 1.52,
298 p<0.005) and waning moon (mean differences= 1.38, p<0.05) than in full moon. For small
299 prey, more photo-captures were recorded in waxing moon (mean differences= 1.21, 1.49;
300 p<0.05) than in new moon and waning moon respectively.
301 The results of the partial correlation depicted a negative relation between small carnivore and
302 moon visible surface while controlling for small prey (r= -0.221, p<0.001) and large carnivore
303 (r= -0.213, p<0.01) (Table 2). However, Pearson's product-moment correlation also known as
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
15
304 the zero-order correlation showed statistically significant, negative correlation between small
305 carnivore and moon visible surface (r= -0.205, p<0.01), without controlling for small prey or
306 large carnivore. This suggests that small prey or large carnivore had very little influence in
307 controlling the relationship between small carnivore and moon visible surface.
308 Table 2. Partial correlation test (r) for degree of association between prey-predator and
309 moon visible surface using different control variables in Manas National Park, Assam,
310 India.
311 ***. Partial correlation is significant at the 0.001 level (2-tailed).
312 **. Partial correlation is significant at the 0.01 level (2-tailed).
313 *. Partial correlation is significant at the 0.05 level (2-tailed).
314
Control VariablesMoon Visible Surface
Small Carnivore
Large Prey
Small Prey
Correlation -0.221*** 1.000 - -
Significance (2-tailed) 0.001 - - -
Small Prey
Small Carnivore
df 210 0 - -
Correlation - 0.227*** 0.462*** -
Significance (2-tailed) - 0.001 0.000 -
Large Carnivore
df - 210 210 -
Correlation - 1.000 - 0.232***
Significance (2-tailed) - - - 0.001
Moon Visible Surface
Small Carnivore
df - 0 - 210
Correlation 1.000 -0.213** - -
Significance (2-tailed) - 0.002 - -
Large Carnivore
Moon Visible Surface
df 0 210 - -
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
16
315 Discussion
316 The current study provides baseline information on activity patterns and temporal overlaps of
317 mammals of Manas National Park as well as it is also the first of its kind of research on moon
318 illumination and effect of moon phases on prey-predator interactions in tropical forests of India.
319 Results from the present study are mainly concordant with basic accounts of natural history
320 (i.e., whether a species is most active during the day or night) [50]. We also compared our
321 results with those of previous studies on species body size, activity pattern and temporal
322 overlaps of mammalian fauna. The lunar cycle results largely showed that the moonlight has a
323 stronger effect on the activity of the prey than on the behavior of the predator.
324 Evaluation of the camera trapping data revealed that the study area had a healthy habitat for
325 the mammalian fauna. All the major fauna from MNP was photo-captured during the survey
326 confirming 35 species. Out of the 35 recorded species, 1 (Chinese pangolin) is classified as
327 Critically Endangered, 6 (tiger, dhole, Asiatic elephant, wild water buffalo, hog deer and hispid
328 hare) are classified as Endangered, 8 (leopard, clouded leopard, Himalayan black bear, one-
329 horned rhinoceros, gaur, sambar and capped langur) are classified as Vulnerable, 1 (Assamese
330 macaque) is classified as Near Threatened while the remaining 19 species are classified as least
331 concern [51]. The previous camera-trapping studies in Manas National Park provides
332 information on relative abundances of tigers and their prey [52], carnivore diversity [53], and
333 density estimation of carnivores and herbivores [40]. Recently, Borah et al. [54] provide info
334 on density estimation of common leopard and clouded leopard; whereas Lahkar et al. [55]
335 explained about diversity, distribution and photo-capture rate of mammals of MNP. In the
336 present study, we examine activity rhythms and the lunar cycle effect on the mammalian fauna
337 in the semi-evergreen forest of Manas National Park.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
17
338 1. Diel activity patterns and temporal overlap
339 Van Schaik and Griffiths [29] explained variation in activity periods for Indonesian rainforest
340 mammals using species body size as the primary factor influencing activity patterns. The theory
341 suggests that smaller mammals (<10 kg) tend to be specifically nocturnal or diurnal as an anti-
342 predation strategy, whereas larger mammals (>10 kg) are more cathemeral because of energy
343 requirements and associated feeding commitments. The intensive camera-trap survey provided
344 one of the most detailed studies of activity periods in mammals of MNP under natural
345 conditions and classified activity patterns into four categories [29]. In the present study, all the
346 photo-captured small mammals are found to be mainly nocturnal (jungle cats, leopard cats, and
347 civets) or diurnal (smooth-coated otter, yellow-throated marten, and mongooses), as predicted
348 by the van Schaik and Griffiths model. The results showed that the medium-sized mammals
349 are cathemeral (barking deer, hog deer, and wild boar) and diurnal (wild dog), and the larger-
350 sized mammals such as tiger, leopard, Asiatic black bear, gaur, wild buffalo, and sambar are
351 active during both day and night hours which is also in accordance with the Schaik and Griffiths
352 model.
353 We found differences in the activity peaks of tiger and leopard, but there was no active temporal
354 separation between predators probably owing to their similar morphology and hunting
355 strategies [2]; however, significant time overlap between them was evident. Tigers are
356 opportunistic predators [56] and had considerably higher activity overlap (>75%) with gaur,
357 wild buffalo, sambar and hog deer [57,58]. However, their diet includes birds, fish, rodents,
358 insects, amphibians, reptiles in addition to other mammals such as primates and porcupines
359 [56]. The present study also found higher overlap (>65%) with Himalayan crestless porcupine
360 as compared to leopard’s overlap. Leopard’s activity overlapped (>70%) with all the prey
361 species ranging from medium to large sized prey [59,60]. Leopard showed higher temporal
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
18
362 overlaps with medium-sized prey [60] such as barking deer in comparison with tiger’s overlap.
363 Asiatic black bear tends to be diurnally active [61] or crepuscular [62]. The current study found
364 cathemeral nature of the species as it has to spend most of its time in search of food for energy
365 requirements under a very high competition with conspecifics (for vegetal food/and animal
366 matter) as well as other carnivores (for the animal matter) [63].
367 The study showed that clouded leopard activity was predominantly nocturnal, similar to the
368 studies of Gumal et al. [64], and Azlan & Sharma [65] from Peninsular Malaysia, and also
369 Kanchanasaka [66], and Grassman et al. [67] from Southern Thailand. Austin et al. [68]
370 recorded activity peaks at crepuscular hours in two radio-collared clouded leopards. However,
371 the overall activity pattern from radio-telemetry studies (n=4) indicated two peaks at 18:00-
372 02:00 hr and 08:00-12:00 hr [69]. The present study also found a bimodal pattern but with
373 different peaks at 21:00-23:00 hr and 2:00-4:00 hr. In case of its prey, the study found the high
374 temporal overlap with sambar and Himalayan crestless porcupine [57] as compared to the other
375 prey species. It is possible that clouded leopard terrestrial activity is higher at night-time due
376 to the avoidance of leopards in the study area being more active on trees during daytime (A.
377 Wilting, pers. comm). However, studies suggest clouded leopards be more terrestrial [70,71,72]
378 with the use of trees primarily for resting [70,73]. The low capture rate of 7 photos in 7337 trap
379 nights in our study, does not necessarily reflect low numbers of the felid, but rather a decreased
380 probability to capture it along wildlife trails and roads that are frequented by high numbers of
381 leopards and tigers, the top predator of the area. The species is known to use a dimension that
382 was not covered in our sampling, namely trees higher up than 60 cm above ground [74].
383 The only canid species recorded during the study was wild dog (dhole). Dholes showed less
384 temporal overlap with their dominant competitors (tiger, leopard and clouded leopard) because
385 they were more active during the daytime and crepuscular hours and less active in full darkness,
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
19
386 similar to most other studies of India and Southeast Asia (67,75,76,77]. Dholes’ diet includes
387 a wide variety of prey species, ranging from small rodents and hares to gaur [2,78,76,79]. In
388 tropical semi-evergreen forests of Southeast Asia, the species appear to persist in smaller packs
389 and consume medium-sized prey [75], as smaller packs are more energetically advantageous
390 in the rainforest where large prey species are scarce, thick vegetation favors stalk and ambush
391 hunting techniques over cursorial hunting, and competition with tiger and leopards [80]. The
392 present study also found the high temporal overlap of dhole with medium-sized prey such as
393 barking deer and wild boar as compared to other large-sized prey.
394 The present study recorded the two small cats (leopard cat and jungle cat) to be strictly
395 nocturnal which is consistent with other reported studies only in case of leopard cat [81,82],
396 yet there are studies contradicting nocturnality of leopard cats (83,65,84]. According to Prater
397 [81], jungle cat is diurnal as well as crepuscular and can even kill porcupine species which are
398 nocturnal. In this study, jungle cat is found to be strictly nocturnal as reported by Majumder et
399 al. [85], though our result is insignificant because of only three captures of a jungle cat. The
400 small Indian civets and large Indian civets are found active in nocturnal hours which is
401 consistent with other reported studies [86,87]; whereas with 69% photographs in darker hours
402 of Asian palm civet also supports other study of Duckworth [88] and Azlan [89] which suggests
403 crepuscular or nocturnal nature of the species. Mongooses are predominantly diurnal or
404 cathemeral [90] and the present study found a strictly diurnal pattern for all the three photo-
405 captured mongooses. The yellow-throated marten was completely a diurnal species in the study
406 area [91] but can hunt both by day and night and also known to attack young deer species [81].
407 On the other hand, results of the current study showed a Himalayan crestless porcupine as a
408 nocturnal species which is consistent with the previous studies by Menon [92]. Indian hare
409 which is mainly active during crepuscular and nocturnal hours [93] are found to be active only
410 in nocturnal phase in this study. According to several studies [13,94], the diel activity of many
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
20
411 felids is associated with the activity pattern of their prey. The main reason of these small cats
412 being nocturnal in the study area could be that rodents (Himalayan crestless porcupine) and
413 hares (Indian hare and hispid hare), their primary preys, are generally nocturnal [81,94]
414 although we could not quantify this point through camera trapping for small-sized prey.
415 2. Do species respond differently to moonlight?
416 Moonlight has usually been thought to increase predation risk by enhancing the ability of
417 predators to detect prey [14,95], therefore leading to decreased activity or shifts in prey
418 foraging efficiency in the presence of bright moonlight [16,96,97]. The results of the present
419 study demonstrate that the effects of moon illumination on activity across nocturnal mammal
420 species. The response of nocturnal mammals to the moonlight differs among taxa and may vary
421 according to several determinants, such as phylogeny, trophic level, sensory systems and
422 habitat type [13,97]. The current study suggests that the moon phases are also likely to
423 influence how prey distribute their activities through time to face different predation risk
424 periods.
425 Large-sized prey species activity were not significantly affected by moon phases as they
426 showed uniform activity with highest record of photographs in new moon (wild buffalo, hog
427 deer, wild boar, Himalayan crestless porcupine and Indian peafowl) and full moon (gaur,
428 barking deer and sambar) (Figs 5 and 6b). Large carnivore did not get influenced by moonlight
429 as they follow the feeding and starvation pattern of cyclic activity across a lunar cycle (Fig 6a).
430 We, therefore, suggest that large carnivores switch their type of prey, they hunt in different
431 moon phases, their hunting efficiency increases in the full moon and the greater foraging
432 benefits they take in brighter nights as they are more photo-captured during a full moon (Fig
433 5).
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
21
434 Small-sized prey species were more active during brighter nights to avoid predation risk against
435 smaller carnivores (Fig 5). This anti-predator behavior is already well recognised for the
436 species such as marsupials and rodents [33]. However, statistics showed that moonlight did not
437 influence the activity of small prey (Fig 6d). Small carnivores displayed a higher level of
438 activity during the darker nights when reduced brightness hampers their visual detections by
439 large carnivores which were active more in brighter nights (Fig 5). Tukey and partial
440 correlation tests also highlighted that moonlight had negative influence on the small carnivore
441 activity; their activity decreases with an increasing moonlight intensity (Fig 6c, Table 2).
442 Fig. 6. Photo-captures of (a) large carnivore, (b) large prey, (c) small carnivore, and (d)
443 small prey in a lunar cycle in Manas National Park, Assam, India. The bars indicate
444 percentage moon visible surface in a complete lunar cycle. The lines indicate average records
445 in each day from all 7 lunar cycles, and the whiskers above and below the lines indicate
446 standard errors.
447 Conclusion & limitation
448 Our result suggests that despite historical ethnopolitical conflict and continued threats in some
449 areas, MNP supports a diversity of mammalian fauna of conservation concern, including
450 clouded leopards, dholes, tigers and other species. Adaptations are bidirectional and take place
451 over at least two dimensions: spatial and temporal [9,98] and our study focuses primarily on
452 the temporal component and provides some interesting insights into the diel activity patterns
453 and temporal overlap among mammals of MNP. The current study also highlights the
454 significance of incorporating moon illumination into movement and activity pattern of
455 mammals as well as interactions between prey-predator in tropical forests of India. The brighter
456 hours or full moon lights shows an inverse relation in the activity pattern of prey and predator.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
22
457 Camera trapping is effective in recording species interaction but with certain limitations such
458 as the inability to account for detection probability, which is bound to vary with species [76].
459 Placement of camera traps should be done depending on size, habitat and activity pattern of
460 species. Like in our study, some of the species are at least partially, or even predominantly,
461 arboreal such as clouded leopard, small prey and primate species. Hence, activity patterns of
462 such species would be better explained if camera-traps were deployed in species-specific
463 habitats. Moonlight effects were not only related to the trophic level and were better explained
464 by phylogenetic relatedness, visual acuity, and habitat cover.
465 Acknowledgements
466 We thank the director, dean & research co-ordinator, wildlife institute of India. We are thankful
467 to the Doyil Vengayil & Syed Asrafuzzaman, Department of Science and Technology,
468 Government of India to carry out the study on the clouded leopard (Neofelis nebulosa).
469 Paniram, Tapan, Anukul, Dipul, Dipen and Dilli are thanked for their assistance in the field.
470 We thank the Dept., Environment & Forests, Govt., of Assam, field staff of Manas National
471 Park, for permissions and field support.
472 References
473 1. Case TJ, Gilpin ME. Interference competition and niche theory. Proceedings of the
474 National Academy of Sciences. 1974 Aug 1;71(8):3073-7.
475 2. Karanth KU, Sunquist ME. Prey selection by tiger, leopard and dhole in tropical forests.
476 Journal of Animal Ecology. 1995 Jul 1:439-50.
477 3. Steinmetz R, Garshelis DL, Chutipong W, Seuaturien N. Foraging ecology and
478 coexistence of Asiatic black bear bears and sun bears in a seasonal tropical forest in
479 Southeast Asia. Journal of Mammalogy. In press.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
23
480 4. Caro TM, O'doherty G. On the use of surrogate species in conservation biology.
481 Conservation biology. 1999 Aug;13(4):805-14.
482 5. Prange S, Gehrt SD. Response of skunks to a simulated increase in coyote activity.
483 Journal of Mammalogy. 2007 Aug 20;88(4):1040-9.
484 6. Kamler JF, Stenkewitz U, Macdonald DW. Lethal and sublethal effects of black-backed
485 jackals on cape foxes and bat-eared foxes. Journal of Mammalogy. 2013 Apr
486 16;94(2):295-306.
487 7. Berger KM, Gese EM. Does interference competition with wolves limit the distribution
488 and abundance of coyotes?. Journal of animal Ecology. 2007 Nov 1;76(6):1075-85.
489 8. Carothers JH, Jaksić FM. Time as a niche difference: the role of interference
490 competition. Oikos. 1984 Mar 1:403-6.
491 9. Lima SL, Bednekoff PA. Temporal variation in danger drives antipredator behavior:
492 the predation risk allocation hypothesis. The American Naturalist. 1999
493 Jun;153(6):649-59.
494 10. Lucherini M, Reppucci JI, Walker RS, Villalba ML, Wurstten A, Gallardo G, Iriarte A,
495 Villalobos R, Perovic P. Activity pattern segregation of carnivores in the high Andes.
496 Journal of Mammalogy. 2009 Dec 15;90(6):1404-9.
497 11. Clarke JA. Moonlight's influence on predator/prey interactions between short-eared
498 owls (Asio flammeus) and deermice (Peromyscus maniculatus). Behavioral Ecology
499 and Sociobiology. 1983 Sep 1;13(3):205-9.
500 12. Schoener TW. Resource partitioning in ecological communities. Science. 1974 Jul
501 5;185(4145):27-39.
502 13. Harmsen BJ, Foster RJ, Silver SC, Ostro LE, Doncaster CP. Jaguar and puma activity
503 patterns in relation to their main prey. Mammalian Biology. 2011 May 1;76(3):320-4.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
24
504 14. Kotler BP, Brown JS, Hasson O. Factors affecting gerbil foraging behavior and rates
505 of owl predation. Ecology. 1991 Dec 1;72(6):2249-60.
506 15. Morrison DW. Lunar phobia in a neotropical fruit bat, Artibevs jamaicensis
507 (Chiroptera: Phyllostomidae). Animal Behaviour. 1978 Aug 1;26:852-5.
508 16. Daly M, Behrends PR, Wilson MI, Jacobs LF. Behavioural modulation of predation
509 risk: moonlight avoidance and crepuscular compensation in a nocturnal desert rodent,
510 Dipodomys merriami. Animal behaviour. 1992 Jul 1;44(1):1-9.
511 17. Kotler BP, Brown JS, Dall SR, Gresser S, Ganey D, Bouskila A. Foraging games
512 between gerbils and their predators: temporal dynamics of resource depletion and
513 apprehension in gerbils. Evolutionary Ecology Research. 2002;4(4):495-518.
514 18. Emmons LH, Sherman P, Bolster D, Goldizen A, Terborgh J. Ocelot behavior in
515 moonlight. Advances in neotropical mammalogy. 1989;1989:233-42.
516 19. Mougeot F, Bretagnolle V. Predation risk and moonlight avoidance in nocturnal
517 seabirds. Journal of Avian Biology. 2000 Sep;31(3):376-86.
518 20. Jetz W, Steffen J, Linsenmair KE. Effects of light and prey availability on nocturnal,
519 lunar and seasonal activity of tropical nightjars. Oikos. 2003 Dec;103(3):627-39.
520 21. Gursky S. Lunar philia in a nocturnal primate. International Journal of Primatology.
521 2003 Apr 1;24(2):351-67.
522 22. Wilson MD, Watts BD. Effect of moonlight on detection of Whip‐poor‐wills:
523 implications for long‐term monitoring strategies. Journal of Field Ornithology. 2006
524 Mar;77(2):207-11.
525 23. Michalski F, Norris D. Activity pattern of Cuniculus paca (Rodentia: Cuniculidae) in
526 relation to lunar illumination and other abiotic variables in the southern Brazilian
527 Amazon. Zoologia. 2011 Dec 14;28(6).
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
25
528 24. Mori E, Nourisson DH, Lovari S, Romeo G, Sforzi A. Self‐defence may not be enough:
529 moonlight avoidance in a large, spiny rodent. Journal of Zoology. 2014 Sep;294(1):31-
530 40.
531 25. Penteriani V, Kuparinen A, del Mar Delgado M, Palomares F, López-Bao JV, Fedriani
532 JM, Calzada J, Moreno S, Villafuerte R, Campioni L, Lourenço R. Responses of a top
533 and a meso predator and their prey to moon phases. Oecologia. 2013 Nov 1;173(3):753-
534 66.
535 26. Ridout MS, Linkie M. Estimating overlap of daily activity patterns from camera trap
536 data. Journal of Agricultural, Biological, and Environmental Statistics. 2009 Sep
537 1;14(3):322-37.
538 27. Karanth KU, Nichols JD. Estimation of tiger densities in India using photographic
539 captures and recaptures. Ecology. 1998 Dec 1;79(8):2852-62.
540 28. Cutler TL, Swann DE. Using remote photography in wildlife ecology: a review.
541 Wildlife Society Bulletin. 1999 Oct 1:571-81.
542 29. van Schaik CP, Griffiths M. Activity periods of Indonesian rain forest mammals.
543 Biotropica. 1996 Mar 1:105-12.
544 30. Kitamura S, Thong-Aree S, Madsri S, Poonswad P. Mammal diversity and conservation
545 in a small isolated forest of southern Thailand. Raffles Bulletin of Zoology. 2010 Feb
546 28;58(1).
547 31. Ngoprasert D, Lynam AJ, Sukmasuang R, Tantipisanuh N, Chutipong W, Steinmetz R,
548 Jenks KE, Gale GA, Grassman Jr LI, Kitamura S, Howard J. Occurrence of three felids
549 across a network of protected areas in Thailand: prey, intraguild, and habitat
550 associations. Biotropica. 2012 Nov;44(6):810-7.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
26
551 32. Gray TN, Phan C. Habitat preferences and activity patterns of the larger mammal
552 community in Phnom Prich Wildlife Sanctuary, Cambodia. The Raffles Bulletin of
553 Zoology. 2011 Aug 31;59(2):311-8.
554 33. Di Bitetti MS, Paviolo A, De Angelo C. Density, habitat use and activity patterns of
555 ocelots (Leopardus pardalis) in the Atlantic Forest of Misiones, Argentina. Journal of
556 Zoology. 2006 Sep;270(1):153-63.
557 34. Grassman LI, Haines AM, Janečka JE, Tewes ME. Activity periods of photo-captured
558 mammals in north central Thailand. Mammalia. 2006;70(3/4):306-9.
559 35. Das S, Khan ML, Rabha A, Bhattacharjya DK. Ethnomedicinal plants of Manas
560 National Park, Assam, Northeast India. Indian journal of traditional knowledge. 2009
561 Oct;8(4):514-517.
562 36. Wikramanayake ED, Dinerstein E, Loucks CJ. Terrestrial ecoregions of the Indo-
563 Pacific: a conservation assessment. Island Press; 2002.
564 37. DebRoy S. Manas: a monograph. Tiger paper (FAO). 1991;18:6-15
565 38. Wang SW. Conservation Management Plan for the Black Mountains National Park.
566 Nature Conservation Division. Ministry of Agriculture, Thimphu, Bhutan; 2001.
567 39. Soud R, Talukdar S, Dey KN. Conservation challenges of Manas Tiger reserve:
568 political unrest and community attitude. The Clarion. 2013;2(1):59-63.
569 40. Goswami R, Ganesh T. Carnivore and herbivore densities in the immediate aftermath
570 of ethno-political conflict: the case of Manas National Park, India. Tropical
571 Conservation Science. 2014 Sep;7(3):475-87.
572 41. George SJ. The Bodo movement in Assam: unrest to accord. Asian Survey. 1994 Oct
573 1;34(10):878-92.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
27
574 42. Sarma PK, Lahkar BP, Ghosh S, Rabha A, Das JP, Nath NK, Dey S, Brahma N. Land-
575 use and land-cover change and future implication analysis in Manas National Park,
576 India using multi-temporal satellite data. Current science. 2008 Jul 25:223-7.
577 43. Lynam AJ, Kanwatanakid C, Suckaseam C. Ecological monitoring of wildlife at Khao
578 Yai National Park, Thailand. Final Report submitted to Department of National Parks,
579 Wildlife and Plants and Khao Yai Conservation Project. 2003.
580 44. O'Brien TG, Kinnaird MF, Wibisono HT. Crouching tigers, hidden prey: Sumatran
581 tiger and prey populations in a tropical forest landscape. Animal Conservation. 2003
582 May 1;6(2):131-9.
583 45. O'Connell AF, Nichols JD, Karanth KU, editors. Camera traps in animal ecology:
584 methods and analyses. Springer Science & Business Media; 2010 Oct 5.
585 46. Theuerkauf J, Jȩdrzejewski W, Schmidt K, Okarma H, Ruczyński I, Śniezko S, Gula
586 R. Daily patterns and duration of wolf activity in the Białowieza Forest, Poland. Journal
587 of Mammalogy. 2003 Feb 28;84(1):243-53.
588 47. Linkie M, Ridout MS. Assessing tiger–prey interactions in Sumatran rainforests.
589 Journal of Zoology. 2011 Jul;284(3):224-9.
590 48. Schmid F, Schmidt A. Nonparametric estimation of the coefficient of overlapping—
591 theory and empirical application. Computational statistics & data analysis. 2006 Mar
592 10;50(6):1583-96.
593 49. Meredith M, Ridout M. overlap: Estimates of coefficient of overlapping for animal
594 activity patterns. R package version 0.2. 2014;4.
595 50. Emmons L, Feer F. Neotropical rainforest mammals: a field guide. 1997.
596 51. IUCN. The IUCN red list of threatened species. 2018
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
28
597 52. Jhala YV, Qureshi Q, Gopal R & Sinha PR. Status of Tigers, Co-predators and Prey in
598 India. National Tiger Conservation Authority, Government of India, New Delhi, and
599 Wildlife Institute of India, Dehradun, India. 2011.
600 53. Borah J, Sharma T, Das N, Rabha N, Kakati N, Basumatri A, Ahmed F, Vattakaven J,
601 Bhobora C, Swargowari A. Diversity of carnivores in Manas National Park-a World
602 Heritage Site, Assam, India. Cat News. 2012;56:16-9.
603 54. Borah J, Sharma T, Das D, Rabha N, Kakati N, Basumatary A, Ahmed MF, Vattakaven
604 J. Abundance and density estimates for common leopard Panthera pardus and clouded
605 leopard Neofelis nebulosa in Manas National Park, Assam, India. Oryx. 2014
606 Jan;48(1):149-55.
607 55. Lahkar D, Ahmed MF, Begum RH, Das SK, Lahkar BP, Sarma HK, Harihar A.
608 Camera-trapping survey to assess diversity, distribution and photographic capture rate
609 of terrestrial mammals in the aftermath of the ethnopolitical conflict in Manas National
610 Park, Assam, India. Journal of Threatened Taxa. 2018 Jul 26;10(8):12008-17.
611 56. Nowell K, Jackson P, editors. Wild cats: status survey and conservation action plan.
612 Gland: IUCN; 1996.
613 57. Sunquist F, Sunquist M. Tiger moon: tracking the great cats in Nepal. University of
614 Chicago Press; 2002.
615 58. Hayward MW, Jędrzejewski W, Jedrzejewska B. Prey preferences of the tiger P anthera
616 tigris. Journal of Zoology. 2012 Mar 1;286(3):221-31.
617 59. Ramakrishnan U, Coss RG, Pelkey NW. Tiger decline caused by the reduction of large
618 ungulate prey: evidence from a study of leopard diets in southern India. Biological
619 Conservation. 1999 Jul 1;89(2):113-20.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
29
620 60. Hayward MW, Henschel P, O'brien J, Hofmeyr M, Balme G, Kerley GI. Prey
621 preferences of the leopard (Panthera pardus). Journal of Zoology. 2006 Oct
622 1;270(2):298-313.
623 61. Hwang MH, Garshelis DL. Activity patterns of Asiatic black bears (Ursus thibetanus)
624 in the Central Mountains of Taiwan. Journal of Zoology. 2007 Feb 1;271(2):203-9.
625 62. Sharma LK, Charoo, SA, and Sathyakumar SS. Investigations on the Ecology and
626 Behaviour of Asiatic Black bear using Satellite Telemetry: A case study from the
627 Dachigam National Park, Kashmir, India. Telemetry in Wildlife Science, ENVIS
628 Bulletin: Wildlife & Protected Areas, Wildlife Institute of India, Dehradun. 2010: 86–
629 94.
630 63. Noor A, Mir ZR, Veeraswami GG, Habib B. Activity patterns and spatial co-occurrence
631 of sympatric mammals in the moist temperate forest of the Kashmir Himalaya, India.
632 Folia Zoologica. 2017 Dec;66(4):231-41.
633 64. Gumal, M, Salleh ABBM, Yasak MN, Horng LS, Lee BPY-H, Pheng LC, Hamzah H,
634 Kong D, Magintan D, Yung DTC, Zalaluddin AZB, Azmi AB, Khalid N B, Yen T P,
635 Mufeng V, Meng FCF, Ng S. Non-Panthera cats in the Endau Rompin landscape in
636 Johor. Cat News. In Press.
637 65. Azlan JM, Sharma DS. The diversity and activity patterns of wild felids in a secondary
638 forest in Peninsular Malaysia. Oryx. 2006 Jan;40(1):36-41.
639 66. Kanchanasaka B. Diversity and distribution of carnivores in Khlong Saeng Wildlife
640 Sanctuary. Wildlife Research Division’s Annual Report. National Parks, Wildlife and
641 Plant Conservation Department, Bangkok, Thailand. 2001:118-37.
642 67. Grassman LI, Tewes ME, Silvy NJ, Kreetiyutanont K. Ecology of three sympatric felids
643 in a mixed evergreen forest in north-central Thailand. Journal of Mammalogy. 2005
644 Feb 15;86(1):29-38.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
30
645 68. Austin CS, Tewes EM, Grassman IJ, Silvy JN. Ecology and conservation of the leopard
646 cat Prionailurus bengalensis and clouded leopard Neofelis nebulosa in Khao Yai
647 National Park, Thailand. 2010 Nov 26:1-14.
648 69. Grassman LI, Tewes ME, Silvy NJ, Kreetiyutanont K. Spatial ecology and diet of the
649 dhole Cuon alpinus (Canidae, Carnivora) in north central Thailand. Mammalia.
650 2005b;69:11-20.
651 70. Rabinowitz A, Andau P, Chai PP. The clouded leopard in Malaysian Borneo. Oryx.
652 1987 Apr;21(2):107-11.
653 71. Dinerstein E, Mehta JN. The clouded leopard in Nepal. Oryx. 1989 Oct;23(4):199-201.
654 72. Austin SC, Tewes ME. Ecology of the clouded leopard in Khao Yai National Park,
655 Thailand. Cat News/IUCN SSC. 1999;31:17-8.
656 73. Davies RG. Sighting of a clouded leopard (Neofelis nebulosa) in a troop of pigtail
657 macaques (Macaca nemestrina) in Khao Yai National Park, Thailand. Natural History
658 Bulletin of the Siam Society. 1990;28:95-6.
659 74. Hemmer H. Studies of the philogenetic history of the Pantherinae II: Research into the
660 ecology of the clouded leopard and snow leopard. Veröffentlichungen Zoologische
661 Staatssammlung München. 1968;12:155–247.
662 75. Kawanishi K, Sunquist ME. Food habits and activity patterns of the Asiatic golden cat
663 (Catopuma temminckii) and dhole (Cuon alpinus) in a primary rainforest of Peninsular
664 Malaysia. Mammal Study. 2008;33(4):173-7.
665 76. Ramesh T, Kalle R, Sankar K, Qureshi Q. Spatio‐temporal partitioning among large
666 carnivores in relation to major prey species in Western Ghats. Journal of Zoology. 2012
667 Aug 1;287(4):269-75.
668 77. Jenks KE, Kitamura S, Lynam AJ, Ngoprasert D, Chutipong W, Steinmetz R,
669 Sukmasuang R, Grassman LI, Cutter P, Tantipisanuh N, Bhumpakphan N. Mapping the
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
31
670 distribution of dholes, Cuon alpinus (Canidae, Carnivora), in Thailand. Mammalia.
671 2012 May 1;76(2):175-84.
672 78. Andheria AP, Karanth KU, Kumar NS. Diet and prey profiles of three sympatric large
673 carnivores in Bandipur Tiger Reserve, India. Journal of Zoology. 2007 Oct
674 1;273(2):169-75.
675 79. Selvan KM, Veeraswami GG, Lyngdoh S, Habib B, Hussain SA. Prey selection and
676 food habits of three sympatric large carnivores in a tropical lowland forest of the
677 Eastern Himalayan Biodiversity Hotspot. Mammalian Biology-Zeitschrift für
678 Säugetierkunde. 2013 Jun 1;78(4):296-303.
679 80. Kawanishi K, Sunquist ME. Conservation status of tigers in a primary rainforest of
680 Peninsular Malaysia. Biological Conservation. 2004 Dec 1;120(3):329-44.
681 81. Prater SH. The book of indian animals bombay natural history society and oxford
682 university press; 1980.
683 82. Grassman LJ. Movements and diet of the leopard cat Prionailurus bengalensis in a
684 seasonal evergreen forest in south-central Thailand. Acta theriologica. 2000;45(3):421-
685 6.
686 83. Rabinowitz A. Notes on the behavior and movements of leopard cats, Felis bengalensis,
687 in a dry tropical forest mosaic in Thailand. Biotropica. 1990 Dec 1:397-403.
688 84. Austin CS, Tewes EM, Grassman IJ, Silvy JN. Ecology and conservation of the leopard
689 cat Prionailurus bengalensis and clouded leopard Neofelis nebulosa in Khao Yai
690 National Park, Thailand. 2007:1-14.
691 85. Majumder A, Sankar K, Qureshi Q, Basu S. Food habits and temporal activity patterns
692 of the Golden Jackal Canis aureus and the Jungle Cat Felis chaos in Pench Tiger
693 Reserve, Madhya Pradesh. Journal of Threatened Taxa. 2011 Nov 26;3(11):2221-5.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
32
694 86. Than Z, Saw H, Saw HTP, Myint M, Lynam AJ, Kyaw TL and Duckworth JW. Status
695 and distribution of small carnivores in Myanmar. Small Carnivore
696 Conservation. 2008;38:2-28.
697 87. Gray TN, Pin C, Phan C, Crouthers R, Kamler JF, Prum S. Camera-trap records of small
698 carnivores from eastern Cambodia, 1999–2013. Small Carnivore Conservation.
699 2014;50:20-4.
700 88. Duckworth JW. Small carnivores in Laos: a status review with notes on ecology,
701 behaviour and conservation. Small Carnivore Conservation. 1997;16(1):21.
702 89. Azlan JM. The diversity and conservation of mustelids, viverrids, and herpestids in a
703 disturbed forest in peninsular Malaysia. Small Carnivore Conservation. 2003;29:8-9.
704 90. Santiapillai C, De Silva M, Dissanayake SR. The status of mongooses (Family:
705 Herpestidae) in Ruhuna National Park, Sri Lanka. Journal of Bombay Natural History
706 Society. 2000;97(2):208-14.
707 91. Nowak RM. Walker’s mammals of the world, 6th ed. John Hopkins University Press,
708 Baltimore, Maryland, U.S.A; 1999.
709 92. Menon V. Indian mammals: a field guide. Hachette India; 2014 Jun 20.
710 93. Chakraborty S, Srinivasulu C, Jordan M, Bhattacharyya TP. Lepus nigricollis Cuvier,
711 1823. In: Molur S, Srinivasulu C, Srinivasulu B, Walker S, Nameer PO, Ravikumar L,
712 editors. Status of South Asian Non-volant Small Mammals: Conservation Assessment
713 and Management Plan (C.A.M.P.) Workshop Report. Coimbatore, India. 2005. pp. 618.
714 94. Bashir T, Bhattacharya T, Poudyal K, Sathyakumar S, Qureshi Q. Integrating aspects
715 of ecology and predictive modelling: implications for the conservation of the leopard
716 cat (Prionailurus bengalensis) in the Eastern Himalaya. Acta theriologica. 2014 Jan
717 1;59(1):35-47.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
33
718 95. Nash LT. Moonlight and behavior in nocturnal and cathemeral primates, especially
719 Lepilemur leucopus: illuminating possible anti-predator efforts. InPrimate anti-predator
720 strategies 2007 (pp. 173-205). Springer, Boston, MA.
721 96. Orrock JL, Danielson BJ, Brinkerhoff RJ. Rodent foraging is affected by indirect, but
722 not by direct, cues of predation risk. Behavioral Ecology. 2004 May 1;15(3):433-7.
723 97. Prugh LR, Golden CD. Does moonlight increase predation risk? Meta‐analysis reveals
724 divergent responses of nocturnal mammals to lunar cycles. Journal of Animal Ecology.
725 2014 Mar 1;83(2):504-14.
726 98. Lima SL. Putting predators back into behavioral predator–prey interactions. Trends in
727 Ecology & Evolution. 2002 Feb 1;17(2):70-5.
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint
.CC-BY 4.0 International licensewas not certified by peer review) is the author/funder. It is made available under aThe copyright holder for this preprint (whichthis version posted October 22, 2018. . https://doi.org/10.1101/449918doi: bioRxiv preprint