Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China

Understanding the response of terrestrial ecosystems to future climate changes would substantially contribute to the scientific assessment of vegetation–climate interactions. Here, the spatiotemporal distribution and dynamics of vegetation in China were projected and compared based on comprehensive...

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Published in:Sustainability
Main Authors: Shuaishuai Li, Jiahua Zhang, Sha Zhang, Yun Bai, Dan Cao, Tiantian Cheng, Zhongtai Sun, Qi Liu, Til Prasad Pangali Sharma
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
geo
Online Access:https://doi.org/10.3390/su13063049
https://doaj.org/article/b41d1b4dd618490c85ef43508a5c0c96
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:b41d1b4dd618490c85ef43508a5c0c96 2023-05-15T18:40:35+02:00 Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China Shuaishuai Li Jiahua Zhang Sha Zhang Yun Bai Dan Cao Tiantian Cheng Zhongtai Sun Qi Liu Til Prasad Pangali Sharma 2021-03-01 https://doi.org/10.3390/su13063049 https://doaj.org/article/b41d1b4dd618490c85ef43508a5c0c96 en eng MDPI AG doi:10.3390/su13063049 2071-1050 https://doaj.org/article/b41d1b4dd618490c85ef43508a5c0c96 undefined Sustainability, Vol 13, Iss 3049, p 3049 (2021) terrestrial ecosystems potential natural vegetation (PNV) comprehensive and sequential classification system (CSCS) future climate scenarios sensitivity China envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2021 fttriple https://doi.org/10.3390/su13063049 2023-01-22T17:27:54Z Understanding the response of terrestrial ecosystems to future climate changes would substantially contribute to the scientific assessment of vegetation–climate interactions. Here, the spatiotemporal distribution and dynamics of vegetation in China were projected and compared based on comprehensive sequential classification system (CSCS) model under representative concentration pathway (RCP) RCP2.6, RCP4.5, and RCP8.5 scenarios, and five sensitivity levels were proposed. The results show that the CSCS model performs well in simulating vegetation distribution. The number of vegetation types would increase from 36 to 40. Frigid–perhumid rain tundra and alpine meadow are the most distributed vegetation types, with an area of more than 78.45 × 104 km2, whereas there are no climate conditions suitable for tropical–extra-arid tropical desert in China. Some plants would benefit from climate changes to a certain extent. Warm temperate–arid warm temperate zone semidesert would expand by more than 1.82% by the 2080s. A continuous expansion of more than 18.81 × 104 km2 and northward shift of more than 124.93 km in tropical forest would occur across all three scenarios. However, some ecosystems would experience inevitable changes. More than 1.33% of cool temperate–extra-arid temperate zone desert would continuously shrink. Five sensitivity levels present an interphase distribution. More extreme scenarios would result in wider ecosystem responses. The evolutionary trend from cold–arid vegetation to warm–wet vegetation is a prominent feature despite the variability in ecosystem responses to climate changes. Article in Journal/Newspaper Tundra Unknown Sustainability 13 6 3049
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic terrestrial ecosystems
potential natural vegetation (PNV)
comprehensive and sequential classification system (CSCS)
future climate scenarios
sensitivity
China
envir
geo
spellingShingle terrestrial ecosystems
potential natural vegetation (PNV)
comprehensive and sequential classification system (CSCS)
future climate scenarios
sensitivity
China
envir
geo
Shuaishuai Li
Jiahua Zhang
Sha Zhang
Yun Bai
Dan Cao
Tiantian Cheng
Zhongtai Sun
Qi Liu
Til Prasad Pangali Sharma
Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China
topic_facet terrestrial ecosystems
potential natural vegetation (PNV)
comprehensive and sequential classification system (CSCS)
future climate scenarios
sensitivity
China
envir
geo
description Understanding the response of terrestrial ecosystems to future climate changes would substantially contribute to the scientific assessment of vegetation–climate interactions. Here, the spatiotemporal distribution and dynamics of vegetation in China were projected and compared based on comprehensive sequential classification system (CSCS) model under representative concentration pathway (RCP) RCP2.6, RCP4.5, and RCP8.5 scenarios, and five sensitivity levels were proposed. The results show that the CSCS model performs well in simulating vegetation distribution. The number of vegetation types would increase from 36 to 40. Frigid–perhumid rain tundra and alpine meadow are the most distributed vegetation types, with an area of more than 78.45 × 104 km2, whereas there are no climate conditions suitable for tropical–extra-arid tropical desert in China. Some plants would benefit from climate changes to a certain extent. Warm temperate–arid warm temperate zone semidesert would expand by more than 1.82% by the 2080s. A continuous expansion of more than 18.81 × 104 km2 and northward shift of more than 124.93 km in tropical forest would occur across all three scenarios. However, some ecosystems would experience inevitable changes. More than 1.33% of cool temperate–extra-arid temperate zone desert would continuously shrink. Five sensitivity levels present an interphase distribution. More extreme scenarios would result in wider ecosystem responses. The evolutionary trend from cold–arid vegetation to warm–wet vegetation is a prominent feature despite the variability in ecosystem responses to climate changes.
format Article in Journal/Newspaper
author Shuaishuai Li
Jiahua Zhang
Sha Zhang
Yun Bai
Dan Cao
Tiantian Cheng
Zhongtai Sun
Qi Liu
Til Prasad Pangali Sharma
author_facet Shuaishuai Li
Jiahua Zhang
Sha Zhang
Yun Bai
Dan Cao
Tiantian Cheng
Zhongtai Sun
Qi Liu
Til Prasad Pangali Sharma
author_sort Shuaishuai Li
title Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China
title_short Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China
title_full Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China
title_fullStr Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China
title_full_unstemmed Impacts of Future Climate Changes on Spatio-Temporal Distribution of Terrestrial Ecosystems over China
title_sort impacts of future climate changes on spatio-temporal distribution of terrestrial ecosystems over china
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/su13063049
https://doaj.org/article/b41d1b4dd618490c85ef43508a5c0c96
genre Tundra
genre_facet Tundra
op_source Sustainability, Vol 13, Iss 3049, p 3049 (2021)
op_relation doi:10.3390/su13063049
2071-1050
https://doaj.org/article/b41d1b4dd618490c85ef43508a5c0c96
op_rights undefined
op_doi https://doi.org/10.3390/su13063049
container_title Sustainability
container_volume 13
container_issue 6
container_start_page 3049
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