Assessing the Spatiotemporal Variation in Distribution, Extent and NPP of Terrestrial Ecosystems in Response to Climate Change from 1911 to 2000

To assess the variation in distribution, extent, and NPP of global natural vegetation in response to climate change in the period 1911–2000 and to provide a feasible method for climate change research in regions where historical data is difficult to obtain. In this research, variations in spatiotemp...

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Published in:PLoS ONE
Main Authors: Gang, Chengcheng, Zhou, Wei, Li, Jianlong, Chen, Yizhao, Mu, Shaojie, Ren, Jizhou, Chen, Jingming, Groisman, Pavel Ya.
Format: Text
Language:English
Published: Public Library of Science 2013
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840029
http://www.ncbi.nlm.nih.gov/pubmed/24282539
https://doi.org/10.1371/journal.pone.0080394
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spelling ftpubmed:oai:pubmedcentral.nih.gov:3840029 2023-05-15T18:40:43+02:00 Assessing the Spatiotemporal Variation in Distribution, Extent and NPP of Terrestrial Ecosystems in Response to Climate Change from 1911 to 2000 Gang, Chengcheng Zhou, Wei Li, Jianlong Chen, Yizhao Mu, Shaojie Ren, Jizhou Chen, Jingming Groisman, Pavel Ya. 2013-11-25 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840029 http://www.ncbi.nlm.nih.gov/pubmed/24282539 https://doi.org/10.1371/journal.pone.0080394 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840029 http://www.ncbi.nlm.nih.gov/pubmed/24282539 http://dx.doi.org/10.1371/journal.pone.0080394 http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. CC-BY Research Article Text 2013 ftpubmed https://doi.org/10.1371/journal.pone.0080394 2013-12-01T01:38:14Z To assess the variation in distribution, extent, and NPP of global natural vegetation in response to climate change in the period 1911–2000 and to provide a feasible method for climate change research in regions where historical data is difficult to obtain. In this research, variations in spatiotemporal distributions of global potential natural vegetation (PNV) from 1911 to 2000 were analyzed with the comprehensive sequential classification system (CSCS) and net primary production (NPP) of different ecosystems was evaluated with the synthetic model to determine the effect of climate change on the terrestrial ecosystems. The results showed that consistently rising global temperature and altered precipitation patterns had exerted strong influence on spatiotemporal distribution and productivities of terrestrial ecosystems, especially in the mid/high latitudes. Ecosystems in temperate zones expanded and desert area decreased as a consequence of climate variations. The vegetation that decreased the most was cold desert (18.79%), while the maximum increase (10.31%) was recorded in savanna. Additionally, the area of tundra and alpine steppe reduced significantly (5.43%) and were forced northward due to significant ascending temperature in the northern hemisphere. The global terrestrial ecosystems productivities increased by 2.09%, most of which was attributed to savanna (6.04%), tropical forest (0.99%), and temperate forest (5.49%). Most NPP losses were found in cold desert (27.33%). NPP increases displayed a latitudinal distribution. The NPP of tropical zones amounted to more than a half of total NPP, with an estimated increase of 1.32%. The increase in northern temperate zone was the second highest with 3.55%. Global NPP showed a significant positive correlation with mean annual precipitation in comparison with mean annual temperature and biological temperature. In general, effects of climate change on terrestrial ecosystems were deep and profound in 1911–2000, especially in the latter half of the period. Text Tundra PubMed Central (PMC) PLoS ONE 8 11 e80394
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Gang, Chengcheng
Zhou, Wei
Li, Jianlong
Chen, Yizhao
Mu, Shaojie
Ren, Jizhou
Chen, Jingming
Groisman, Pavel Ya.
Assessing the Spatiotemporal Variation in Distribution, Extent and NPP of Terrestrial Ecosystems in Response to Climate Change from 1911 to 2000
topic_facet Research Article
description To assess the variation in distribution, extent, and NPP of global natural vegetation in response to climate change in the period 1911–2000 and to provide a feasible method for climate change research in regions where historical data is difficult to obtain. In this research, variations in spatiotemporal distributions of global potential natural vegetation (PNV) from 1911 to 2000 were analyzed with the comprehensive sequential classification system (CSCS) and net primary production (NPP) of different ecosystems was evaluated with the synthetic model to determine the effect of climate change on the terrestrial ecosystems. The results showed that consistently rising global temperature and altered precipitation patterns had exerted strong influence on spatiotemporal distribution and productivities of terrestrial ecosystems, especially in the mid/high latitudes. Ecosystems in temperate zones expanded and desert area decreased as a consequence of climate variations. The vegetation that decreased the most was cold desert (18.79%), while the maximum increase (10.31%) was recorded in savanna. Additionally, the area of tundra and alpine steppe reduced significantly (5.43%) and were forced northward due to significant ascending temperature in the northern hemisphere. The global terrestrial ecosystems productivities increased by 2.09%, most of which was attributed to savanna (6.04%), tropical forest (0.99%), and temperate forest (5.49%). Most NPP losses were found in cold desert (27.33%). NPP increases displayed a latitudinal distribution. The NPP of tropical zones amounted to more than a half of total NPP, with an estimated increase of 1.32%. The increase in northern temperate zone was the second highest with 3.55%. Global NPP showed a significant positive correlation with mean annual precipitation in comparison with mean annual temperature and biological temperature. In general, effects of climate change on terrestrial ecosystems were deep and profound in 1911–2000, especially in the latter half of the period.
format Text
author Gang, Chengcheng
Zhou, Wei
Li, Jianlong
Chen, Yizhao
Mu, Shaojie
Ren, Jizhou
Chen, Jingming
Groisman, Pavel Ya.
author_facet Gang, Chengcheng
Zhou, Wei
Li, Jianlong
Chen, Yizhao
Mu, Shaojie
Ren, Jizhou
Chen, Jingming
Groisman, Pavel Ya.
author_sort Gang, Chengcheng
title Assessing the Spatiotemporal Variation in Distribution, Extent and NPP of Terrestrial Ecosystems in Response to Climate Change from 1911 to 2000
title_short Assessing the Spatiotemporal Variation in Distribution, Extent and NPP of Terrestrial Ecosystems in Response to Climate Change from 1911 to 2000
title_full Assessing the Spatiotemporal Variation in Distribution, Extent and NPP of Terrestrial Ecosystems in Response to Climate Change from 1911 to 2000
title_fullStr Assessing the Spatiotemporal Variation in Distribution, Extent and NPP of Terrestrial Ecosystems in Response to Climate Change from 1911 to 2000
title_full_unstemmed Assessing the Spatiotemporal Variation in Distribution, Extent and NPP of Terrestrial Ecosystems in Response to Climate Change from 1911 to 2000
title_sort assessing the spatiotemporal variation in distribution, extent and npp of terrestrial ecosystems in response to climate change from 1911 to 2000
publisher Public Library of Science
publishDate 2013
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840029
http://www.ncbi.nlm.nih.gov/pubmed/24282539
https://doi.org/10.1371/journal.pone.0080394
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op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840029
http://www.ncbi.nlm.nih.gov/pubmed/24282539
http://dx.doi.org/10.1371/journal.pone.0080394
op_rights http://creativecommons.org/licenses/by/3.0/
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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