Predicting the Potential Distribution of Perennial Plant Coptis chinensis Franch. in China under Multiple Climate Change Scenarios

Coptis chinensis Franch. (Ranales: Ranunculaceae) is a perennial species with high medicinal value. Predicting the potentially geographical distribution patterns of C. chinensis against the background of climate change can facilitate its protection and sustainab...

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Autores principales:	Qian Zhao, Yuan Zhang, Wen-Na Li, Bang-Wen Hu, Jia-Bin Zou, Shi-Qiang Wang, Jun-Feng Niu, Zhe-Zhi Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	bioclimatic factors species distribution ecological niche modeling maximum entropy suitable area Plant ecology QK900-989
Acceso en línea:	https://doaj.org/article/36e29a2a420447078bcdaf21354ebfb7
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spelling	oai:doaj.org-article:36e29a2a420447078bcdaf21354ebfb72021-11-25T17:37:32ZPredicting the Potential Distribution of Perennial Plant <i>Coptis chinensis</i> Franch. in China under Multiple Climate Change Scenarios10.3390/f121114641999-4907https://doaj.org/article/36e29a2a420447078bcdaf21354ebfb72021-10-01T00:00:00Zhttps://www.mdpi.com/1999-4907/12/11/1464https://doaj.org/toc/1999-4907<i>Coptis chinensis</i> Franch. (Ranales: Ranunculaceae) is a perennial species with high medicinal value. Predicting the potentially geographical distribution patterns of <i>C. chinensis</i> against the background of climate change can facilitate its protection and sustainable utilization. This study employed the optimized maximum entropy model to predict the distribution patterns and changes in potentially suitable <i>C. chinensis</i>’ regions in China under multiple climate change scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5) across different time periods (1970–2000, 2050s, 2070s, and 2090s). The results revealed that the currently potentially suitable regions of <i>C. chinensis</i> span an area of 120.47 × 10<sup>4</sup> km<sup>2</sup>, which accounts for 12.54% of China’s territory. Among these areas, the low, moderate, and highly suitable regions are 80.10 × 10<sup>4</sup> km<sup>2</sup>, 37.16 × 10<sup>4</sup> km<sup>2</sup>, and 3.21 × 10<sup>4</sup> km<sup>2</sup>, respectively. The highly suitable regions are primarily distributed in Chongqing, Guizhou, Zhejiang, Hubei, and Hunan Provinces. Over time, the potentially suitable regions of <i>C. chinensis</i> are predicted to shrink. Furthermore, our study revealed that the relatively low impact areas of <i>C. chinensis</i> were mainly distributed in Yunnan, Guizhou, Hubei, Chongqing, and other Provinces. Centroid transfer analysis indicated that except for SSP1-2.6, the center of the potentially suitable region of <i>C. chinensis</i> showed a trend of gradual transfer to the northwest and high-altitude areas.Qian ZhaoYuan ZhangWen-Na LiBang-Wen HuJia-Bin ZouShi-Qiang WangJun-Feng NiuZhe-Zhi WangMDPI AGarticlebioclimatic factorsspecies distributionecological niche modelingmaximum entropysuitable areaPlant ecologyQK900-989ENForests, Vol 12, Iss 1464, p 1464 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	bioclimatic factors species distribution ecological niche modeling maximum entropy suitable area Plant ecology QK900-989
spellingShingle	bioclimatic factors species distribution ecological niche modeling maximum entropy suitable area Plant ecology QK900-989 Qian Zhao Yuan Zhang Wen-Na Li Bang-Wen Hu Jia-Bin Zou Shi-Qiang Wang Jun-Feng Niu Zhe-Zhi Wang Predicting the Potential Distribution of Perennial Plant <i>Coptis chinensis</i> Franch. in China under Multiple Climate Change Scenarios
description	<i>Coptis chinensis</i> Franch. (Ranales: Ranunculaceae) is a perennial species with high medicinal value. Predicting the potentially geographical distribution patterns of <i>C. chinensis</i> against the background of climate change can facilitate its protection and sustainable utilization. This study employed the optimized maximum entropy model to predict the distribution patterns and changes in potentially suitable <i>C. chinensis</i>’ regions in China under multiple climate change scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5) across different time periods (1970–2000, 2050s, 2070s, and 2090s). The results revealed that the currently potentially suitable regions of <i>C. chinensis</i> span an area of 120.47 × 10<sup>4</sup> km<sup>2</sup>, which accounts for 12.54% of China’s territory. Among these areas, the low, moderate, and highly suitable regions are 80.10 × 10<sup>4</sup> km<sup>2</sup>, 37.16 × 10<sup>4</sup> km<sup>2</sup>, and 3.21 × 10<sup>4</sup> km<sup>2</sup>, respectively. The highly suitable regions are primarily distributed in Chongqing, Guizhou, Zhejiang, Hubei, and Hunan Provinces. Over time, the potentially suitable regions of <i>C. chinensis</i> are predicted to shrink. Furthermore, our study revealed that the relatively low impact areas of <i>C. chinensis</i> were mainly distributed in Yunnan, Guizhou, Hubei, Chongqing, and other Provinces. Centroid transfer analysis indicated that except for SSP1-2.6, the center of the potentially suitable region of <i>C. chinensis</i> showed a trend of gradual transfer to the northwest and high-altitude areas.
format	article
author	Qian Zhao Yuan Zhang Wen-Na Li Bang-Wen Hu Jia-Bin Zou Shi-Qiang Wang Jun-Feng Niu Zhe-Zhi Wang
author_facet	Qian Zhao Yuan Zhang Wen-Na Li Bang-Wen Hu Jia-Bin Zou Shi-Qiang Wang Jun-Feng Niu Zhe-Zhi Wang
author_sort	Qian Zhao
title	Predicting the Potential Distribution of Perennial Plant <i>Coptis chinensis</i> Franch. in China under Multiple Climate Change Scenarios
title_short	Predicting the Potential Distribution of Perennial Plant <i>Coptis chinensis</i> Franch. in China under Multiple Climate Change Scenarios
title_full	Predicting the Potential Distribution of Perennial Plant <i>Coptis chinensis</i> Franch. in China under Multiple Climate Change Scenarios
title_fullStr	Predicting the Potential Distribution of Perennial Plant <i>Coptis chinensis</i> Franch. in China under Multiple Climate Change Scenarios
title_full_unstemmed	Predicting the Potential Distribution of Perennial Plant <i>Coptis chinensis</i> Franch. in China under Multiple Climate Change Scenarios
title_sort	predicting the potential distribution of perennial plant <i>coptis chinensis</i> franch. in china under multiple climate change scenarios
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/36e29a2a420447078bcdaf21354ebfb7
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Predicting the Potential Distribution of Perennial Plant <i>Coptis chinensis</i> Franch. in China under Multiple Climate Change Scenarios

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