correction to: the complexity of climate reconstructions using the … · 2019. 2. 6. · 1814...

6
CORRECTION Open Access Correction to: The complexity of climate reconstructions using the coexistence approach on QinghaiTibetan Plateau Zhi-Yong Zhang 1,2* , Dong-Mei Cheng 1 , Cheng-Sen Li 2* , Wan Hu 1 , Xuan-Huai Zhan 1 and Hong-Li Ji 1 Correction to: J Palaeogeogr (2019) 8:5 https://doi.org/10.1186/s42501-018-0016-0 After publication of this article (Zhang et al., 2019), it is noticed the article contains some error: Incorrect versions of Figs. 1, 2, 3, 4 and 5 were used during typesetting. Hence we provide the most updated versions of Figs. 1, 2, 3, 4 and 5 below. The original article has been updated accordingly. We apologize for the inconvenience caused. Received: 16 January 2019 Accepted: 16 January 2019 Reference Zhang, Z.Y., et al. 2019. The complexity of climate reconstructions using the coexistence approach on QinghaiTibetan Plateau. J Palaeogeogr 8: 5 https://doi.org/10.1186/s42501-018-0016-0. * Correspondence: [email protected]; [email protected] The original article can be found online at https://doi.org/10.1186/s42501- 018-0016-0 1 Lushan Botanical Garden, Jiangxi Province and Chinese Academy of Sciences, Jiujiang 332900, Jiangxi Province, China 2 State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Xiangshan, Beijing 100093, China Journal of Palaeogeography © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Zhang et al. Journal of Palaeogeography (2019) 8:9 https://doi.org/10.1186/s42501-019-0025-7

Upload: others

Post on 27-Mar-2021

3 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Correction to: The complexity of climate reconstructions using the … · 2019. 2. 6. · 1814 meteorological stations across China were interpolated to the 1-km resolution grid using

CORRECTION Open Access

Correction to: The complexity of climatereconstructions using the coexistenceapproach on Qinghai–Tibetan PlateauZhi-Yong Zhang1,2*, Dong-Mei Cheng1, Cheng-Sen Li2*, Wan Hu1, Xuan-Huai Zhan1 and Hong-Li Ji1

Correction to: J Palaeogeogr (2019) 8:5https://doi.org/10.1186/s42501-018-0016-0

After publication of this article (Zhang et al., 2019), itis noticed the article contains some error:Incorrect versions of Figs. 1, 2, 3, 4 and 5 were used

during typesetting. Hence we provide the most updatedversions of Figs. 1, 2, 3, 4 and 5 below.The original article has been updated accordingly. We

apologize for the inconvenience caused.

Received: 16 January 2019 Accepted: 16 January 2019

ReferenceZhang, Z.Y., et al. 2019. The complexity of climate reconstructions using the

coexistence approach on Qinghai–Tibetan Plateau. J Palaeogeogr 8: 5https://doi.org/10.1186/s42501-018-0016-0.

* Correspondence: [email protected]; [email protected] original article can be found online at https://doi.org/10.1186/s42501-018-0016-01Lushan Botanical Garden, Jiangxi Province and Chinese Academy ofSciences, Jiujiang 332900, Jiangxi Province, China2State Key Laboratory of Systematic and Evolutionary Botany, Institute ofBotany, Chinese Academy of Sciences, Xiangshan, Beijing 100093, China

Journal of Palaeogeography

© The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, andreproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link tothe Creative Commons license, and indicate if changes were made.

Zhang et al. Journal of Palaeogeography (2019) 8:9 https://doi.org/10.1186/s42501-019-0025-7

Page 2: Correction to: The complexity of climate reconstructions using the … · 2019. 2. 6. · 1814 meteorological stations across China were interpolated to the 1-km resolution grid using

Fig. 1 a Location of the study sites. The sites (closed black squares, numbered as S1–S44) are superimposed on maps showing the digitalelevation. Please see sites details in Zhang et al. 2015; b–e Climatic gradients for the sampling sites. MAP Mean annual precipitation, MAT Meanannual temperature, MTWA Mean temperature of the warmest month, MTCO Mean temperature of the coldest month. The climate data from1814 meteorological stations across China were interpolated to the 1-km resolution grid using smoothing spline interpolation (ANUSPLIN version4.36; Hancock and Hutchinson 2006) and the Shuttle Radar Topography Mission (SRTM) 1-km digital elevation model (Farr et al. 2007)

Zhang et al. Journal of Palaeogeography (2019) 8:9 Page 2 of 6

Page 3: Correction to: The complexity of climate reconstructions using the … · 2019. 2. 6. · 1814 meteorological stations across China were interpolated to the 1-km resolution grid using

Fig. 2 Anemophilous tree pollen with long-distance transportation in Qinghai–Tibetan Plateau above topographic map. Red squares indicate thesites containing the anemophilous tree pollen. Black circles indicate locations of the parent plants corresponding to the anemophilous tree taxa,which are determined by Wu and Ding (1999). Dashed arrows indicate the possible pathways of anemophilous tree pollen carried by the Asiansummer monsoon

Zhang et al. Journal of Palaeogeography (2019) 8:9 Page 3 of 6

Page 4: Correction to: The complexity of climate reconstructions using the … · 2019. 2. 6. · 1814 meteorological stations across China were interpolated to the 1-km resolution grid using

Fig. 3 Comparison difference between the weighted reconstruction (WR) and observations with difference between the non-trees reconstruction(NTR) and observations for MAP, MAT, MTWA and MTCO. MAP Mean annual precipitation, MAT Mean annual temperature, MTWA Meantemperature of the warmest month, MTCO Mean temperature of the coldest month. Dashed line is 1:1 line. Solid line indicates the linearregression line

Zhang et al. Journal of Palaeogeography (2019) 8:9 Page 4 of 6

Page 5: Correction to: The complexity of climate reconstructions using the … · 2019. 2. 6. · 1814 meteorological stations across China were interpolated to the 1-km resolution grid using

Fig. 4 Distributions of variability of the mean winter snow depth (cm). Redrawn from Qian et al. (2003). The sampling sites are the same as in Fig.1. Areas with different colors indicate the variability of the mean winter snow depth

Zhang et al. Journal of Palaeogeography (2019) 8:9 Page 5 of 6

Page 6: Correction to: The complexity of climate reconstructions using the … · 2019. 2. 6. · 1814 meteorological stations across China were interpolated to the 1-km resolution grid using

Fig. 5 Schematic illustration of the possible explanation of discrepancy between the reconstructed MTWA (mean temperature of the warmestmonth) and observed values. The MTWA reconstruction result is redrawn from non-trees reconstructions of Zhang et al. 2015. Vertical bars withblack points indicate the coexistence intervals and their medians for reconstructed MTWA. The observations of MTWA are indicated as red points.The altitudes of sampling sites are also shown in blue. The blossoming of shrubs and herbs in Qinghai–Tibetan Plateau may response to the airtemperature somewhere less than this height, rather than the air temperature at 1.5 m. Here it is named as the blossoming temperature. Airtemperature and soil temperature at 5 cm depth during the growth period of plants are from Gu et al. 2005

Zhang et al. Journal of Palaeogeography (2019) 8:9 Page 6 of 6