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Comparative Assessment of Grassland Dynamic and Its Response to Drought Based on Multi-Index in the Mongolian Plateau

This study applied grassland related multi-index and assessed the effects of climate change by investigating grassland responses to drought. This process was performed to study grassland vegetation dynamic accurately and evaluate the effect of drought in the Mongolian Plateau (MP). The spatial–tempo...

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Autores principales: Zhang, Yanzhen, Wang, Zhaoqi, Wang, Qian, Yang, Yue, Bo, Yaojun, Xu, Weizhou, Li, Jianlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838262/
https://www.ncbi.nlm.nih.gov/pubmed/35161291
http://dx.doi.org/10.3390/plants11030310
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author Zhang, Yanzhen
Wang, Zhaoqi
Wang, Qian
Yang, Yue
Bo, Yaojun
Xu, Weizhou
Li, Jianlong
author_facet Zhang, Yanzhen
Wang, Zhaoqi
Wang, Qian
Yang, Yue
Bo, Yaojun
Xu, Weizhou
Li, Jianlong
author_sort Zhang, Yanzhen
collection PubMed
description This study applied grassland related multi-index and assessed the effects of climate change by investigating grassland responses to drought. This process was performed to study grassland vegetation dynamic accurately and evaluate the effect of drought in the Mongolian Plateau (MP). The spatial–temporal characteristics of grassland dynamic in terms of coverage (F(v)), surface bareness (F(b)), and net primary production (NPP) from 2000 to 2013 were explored. We implemented the maximum Pearson correlation to analyze the grassland vegetation in response to drought by using self-calibrating Palmer Drought Severity Index (scPDSI). Results show that F(v) and NPP present an increasing trend (0.18 vs. 0.43). F(b) showed a decreasing trend with a value of −0.16. The grassland F(v) and NPP positively correlated with scPDSI, with a value of 0.12 and 0.85, respectively, and F(b) was −0.08. The positive correlation between F(v) and NPP accounted for 84.08%, and the positive correlation between F(v) and scPDSI accounted for 93.88%. On the contrary, the area with a negative correlation between F(b) and scPDSI was 57.43%. The grassland in the MP showed a recovery tendency. The increase in grassland caused by positive reaction was mainly distributed in the middle of Mongolia (MG), whereas that caused by counter response was mainly distributed in the east and west MG and northeast Inner Mongolia autonomous region of China (IM). The relevant results may provide useful information for policymakers about mitigation strategies against the inverse effects of drought on grassland and help to ease the losses caused by drought.
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spelling pubmed-88382622022-02-13 Comparative Assessment of Grassland Dynamic and Its Response to Drought Based on Multi-Index in the Mongolian Plateau Zhang, Yanzhen Wang, Zhaoqi Wang, Qian Yang, Yue Bo, Yaojun Xu, Weizhou Li, Jianlong Plants (Basel) Article This study applied grassland related multi-index and assessed the effects of climate change by investigating grassland responses to drought. This process was performed to study grassland vegetation dynamic accurately and evaluate the effect of drought in the Mongolian Plateau (MP). The spatial–temporal characteristics of grassland dynamic in terms of coverage (F(v)), surface bareness (F(b)), and net primary production (NPP) from 2000 to 2013 were explored. We implemented the maximum Pearson correlation to analyze the grassland vegetation in response to drought by using self-calibrating Palmer Drought Severity Index (scPDSI). Results show that F(v) and NPP present an increasing trend (0.18 vs. 0.43). F(b) showed a decreasing trend with a value of −0.16. The grassland F(v) and NPP positively correlated with scPDSI, with a value of 0.12 and 0.85, respectively, and F(b) was −0.08. The positive correlation between F(v) and NPP accounted for 84.08%, and the positive correlation between F(v) and scPDSI accounted for 93.88%. On the contrary, the area with a negative correlation between F(b) and scPDSI was 57.43%. The grassland in the MP showed a recovery tendency. The increase in grassland caused by positive reaction was mainly distributed in the middle of Mongolia (MG), whereas that caused by counter response was mainly distributed in the east and west MG and northeast Inner Mongolia autonomous region of China (IM). The relevant results may provide useful information for policymakers about mitigation strategies against the inverse effects of drought on grassland and help to ease the losses caused by drought. MDPI 2022-01-25 /pmc/articles/PMC8838262/ /pubmed/35161291 http://dx.doi.org/10.3390/plants11030310 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Yanzhen
Wang, Zhaoqi
Wang, Qian
Yang, Yue
Bo, Yaojun
Xu, Weizhou
Li, Jianlong
Comparative Assessment of Grassland Dynamic and Its Response to Drought Based on Multi-Index in the Mongolian Plateau
title Comparative Assessment of Grassland Dynamic and Its Response to Drought Based on Multi-Index in the Mongolian Plateau
title_full Comparative Assessment of Grassland Dynamic and Its Response to Drought Based on Multi-Index in the Mongolian Plateau
title_fullStr Comparative Assessment of Grassland Dynamic and Its Response to Drought Based on Multi-Index in the Mongolian Plateau
title_full_unstemmed Comparative Assessment of Grassland Dynamic and Its Response to Drought Based on Multi-Index in the Mongolian Plateau
title_short Comparative Assessment of Grassland Dynamic and Its Response to Drought Based on Multi-Index in the Mongolian Plateau
title_sort comparative assessment of grassland dynamic and its response to drought based on multi-index in the mongolian plateau
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838262/
https://www.ncbi.nlm.nih.gov/pubmed/35161291
http://dx.doi.org/10.3390/plants11030310
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