The Response of Vegetation Dynamics to Climate in Xinjiang from 1991 to 2018
Vegetation change is one of the most prominent features of terrestrial ecosystems responding to climate change. Further exploration of vegetation characteristics in this context is essential for accurately understanding and predicting ecosystem processes. Xinjiang, an arid region, is highly sensitiv...
Gespeichert in:
Veröffentlicht in: | Forests 2024-12, Vol.15 (12), p.2065 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 12 |
container_start_page | 2065 |
container_title | Forests |
container_volume | 15 |
creator | Liu, Yiwen Zhao, Yanni Wu, Wentong Ao, Xinmao Chen, Rensheng |
description | Vegetation change is one of the most prominent features of terrestrial ecosystems responding to climate change. Further exploration of vegetation characteristics in this context is essential for accurately understanding and predicting ecosystem processes. Xinjiang, an arid region, is highly sensitive to slight climate changes, which can significantly affect vegetation dynamics. Therefore, determining the relationship between climate and vegetation is of paramount importance. Based on this, this study focused on Xinjiang, selecting remote sensing data (including NDVI, LAI, and GPP) as evaluating indices, and the spatiotemporal characteristics of vegetation response to climate from 1991 to 2018 were analyzed using synchronized meteorological data, examining the relationship between vegetation and climate. The results indicated that NDVI, LAI, and GPP all increased during the period, with slopes of 0.52, 0.14 m2/m2, and 1.19 g C m−2 yr−1, showing significant spatial heterogeneity in distribution. The net vegetation area increased by more than 20,000 km2, with cropland experiencing the largest increase. Vegetation in northern Xinjiang showed a more significant positive response to increased precipitation and temperature, while vegetation in southern Xinjiang responded more complexly and exhibited negative correlations with climatic factors. The results emphasized the varied responses of vegetation to climate variables, with temperature having a more complex effect on vegetation change, while precipitation showed more distinct differences between the various vegetation indices. These findings provide important insights into the ecological sustainability of Xinjiang under warming and humidification. |
doi_str_mv | 10.3390/f15122065 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_3149619405</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A821832769</galeid><sourcerecordid>A821832769</sourcerecordid><originalsourceid>FETCH-LOGICAL-c186t-63b2fea1ad940e52fc2aabc4e32303bd32dae21d86d61884564dfe0c736c6e1b3</originalsourceid><addsrcrecordid>eNpNUE1LAzEQDaJgqT34DwKePGzNx242OZb6CQVBqnhbstlJTWmTmqSH_ntTKuLMYYbhvTe8h9A1JVPOFbmztKGMEdGcoRFVSlW1Iu35v_0STVJak1JNKxWrR2ix_AL8BmkXfAIcLP6AFWSdXfD4_uD11pmEc8DzjdvqDNh5_On82mm_wjaGLS7a9AhghMordGH1JsHkd47R--PDcv5cLV6fXuazRWWoFLkSvGcWNNWDqgk0zBqmdW9q4IwT3g-cDRoYHaQYBJWybkQ9WCCm5cIIoD0fo5uT7i6G7z2k3K3DPvrysuO0VoIW3aagpifUSm-gc96GHLUpPUBxFTxYV-4zyajkrBWqEG5PBBNDShFst4vFdTx0lHTHgLu_gPkPsepqFQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3149619405</pqid></control><display><type>article</type><title>The Response of Vegetation Dynamics to Climate in Xinjiang from 1991 to 2018</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Liu, Yiwen ; Zhao, Yanni ; Wu, Wentong ; Ao, Xinmao ; Chen, Rensheng</creator><creatorcontrib>Liu, Yiwen ; Zhao, Yanni ; Wu, Wentong ; Ao, Xinmao ; Chen, Rensheng</creatorcontrib><description>Vegetation change is one of the most prominent features of terrestrial ecosystems responding to climate change. Further exploration of vegetation characteristics in this context is essential for accurately understanding and predicting ecosystem processes. Xinjiang, an arid region, is highly sensitive to slight climate changes, which can significantly affect vegetation dynamics. Therefore, determining the relationship between climate and vegetation is of paramount importance. Based on this, this study focused on Xinjiang, selecting remote sensing data (including NDVI, LAI, and GPP) as evaluating indices, and the spatiotemporal characteristics of vegetation response to climate from 1991 to 2018 were analyzed using synchronized meteorological data, examining the relationship between vegetation and climate. The results indicated that NDVI, LAI, and GPP all increased during the period, with slopes of 0.52, 0.14 m2/m2, and 1.19 g C m−2 yr−1, showing significant spatial heterogeneity in distribution. The net vegetation area increased by more than 20,000 km2, with cropland experiencing the largest increase. Vegetation in northern Xinjiang showed a more significant positive response to increased precipitation and temperature, while vegetation in southern Xinjiang responded more complexly and exhibited negative correlations with climatic factors. The results emphasized the varied responses of vegetation to climate variables, with temperature having a more complex effect on vegetation change, while precipitation showed more distinct differences between the various vegetation indices. These findings provide important insights into the ecological sustainability of Xinjiang under warming and humidification.</description><identifier>ISSN: 1999-4907</identifier><identifier>EISSN: 1999-4907</identifier><identifier>DOI: 10.3390/f15122065</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agricultural land ; Analysis ; Arid regions ; Arid zones ; Biodiversity ; Climate change ; Climate prediction ; Climatic changes ; Complex variables ; Datasets ; Heterogeneity ; Humidification ; Influence ; Land use ; Meteorological data ; Mountains ; Normalized difference vegetative index ; Precipitation ; Precipitation (Meteorology) ; Remote sensing ; Spatial heterogeneity ; Temperature ; Terrestrial ecosystems ; Vegetation ; Vegetation and climate ; Vegetation dynamics ; Vegetation effects ; Vegetation index ; Water shortages ; Weather</subject><ispartof>Forests, 2024-12, Vol.15 (12), p.2065</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c186t-63b2fea1ad940e52fc2aabc4e32303bd32dae21d86d61884564dfe0c736c6e1b3</cites><orcidid>0000-0002-2073-3098 ; 0000-0002-3135-7008</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Liu, Yiwen</creatorcontrib><creatorcontrib>Zhao, Yanni</creatorcontrib><creatorcontrib>Wu, Wentong</creatorcontrib><creatorcontrib>Ao, Xinmao</creatorcontrib><creatorcontrib>Chen, Rensheng</creatorcontrib><title>The Response of Vegetation Dynamics to Climate in Xinjiang from 1991 to 2018</title><title>Forests</title><description>Vegetation change is one of the most prominent features of terrestrial ecosystems responding to climate change. Further exploration of vegetation characteristics in this context is essential for accurately understanding and predicting ecosystem processes. Xinjiang, an arid region, is highly sensitive to slight climate changes, which can significantly affect vegetation dynamics. Therefore, determining the relationship between climate and vegetation is of paramount importance. Based on this, this study focused on Xinjiang, selecting remote sensing data (including NDVI, LAI, and GPP) as evaluating indices, and the spatiotemporal characteristics of vegetation response to climate from 1991 to 2018 were analyzed using synchronized meteorological data, examining the relationship between vegetation and climate. The results indicated that NDVI, LAI, and GPP all increased during the period, with slopes of 0.52, 0.14 m2/m2, and 1.19 g C m−2 yr−1, showing significant spatial heterogeneity in distribution. The net vegetation area increased by more than 20,000 km2, with cropland experiencing the largest increase. Vegetation in northern Xinjiang showed a more significant positive response to increased precipitation and temperature, while vegetation in southern Xinjiang responded more complexly and exhibited negative correlations with climatic factors. The results emphasized the varied responses of vegetation to climate variables, with temperature having a more complex effect on vegetation change, while precipitation showed more distinct differences between the various vegetation indices. These findings provide important insights into the ecological sustainability of Xinjiang under warming and humidification.</description><subject>Agricultural land</subject><subject>Analysis</subject><subject>Arid regions</subject><subject>Arid zones</subject><subject>Biodiversity</subject><subject>Climate change</subject><subject>Climate prediction</subject><subject>Climatic changes</subject><subject>Complex variables</subject><subject>Datasets</subject><subject>Heterogeneity</subject><subject>Humidification</subject><subject>Influence</subject><subject>Land use</subject><subject>Meteorological data</subject><subject>Mountains</subject><subject>Normalized difference vegetative index</subject><subject>Precipitation</subject><subject>Precipitation (Meteorology)</subject><subject>Remote sensing</subject><subject>Spatial heterogeneity</subject><subject>Temperature</subject><subject>Terrestrial ecosystems</subject><subject>Vegetation</subject><subject>Vegetation and climate</subject><subject>Vegetation dynamics</subject><subject>Vegetation effects</subject><subject>Vegetation index</subject><subject>Water shortages</subject><subject>Weather</subject><issn>1999-4907</issn><issn>1999-4907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpNUE1LAzEQDaJgqT34DwKePGzNx242OZb6CQVBqnhbstlJTWmTmqSH_ntTKuLMYYbhvTe8h9A1JVPOFbmztKGMEdGcoRFVSlW1Iu35v_0STVJak1JNKxWrR2ix_AL8BmkXfAIcLP6AFWSdXfD4_uD11pmEc8DzjdvqDNh5_On82mm_wjaGLS7a9AhghMordGH1JsHkd47R--PDcv5cLV6fXuazRWWoFLkSvGcWNNWDqgk0zBqmdW9q4IwT3g-cDRoYHaQYBJWybkQ9WCCm5cIIoD0fo5uT7i6G7z2k3K3DPvrysuO0VoIW3aagpifUSm-gc96GHLUpPUBxFTxYV-4zyajkrBWqEG5PBBNDShFst4vFdTx0lHTHgLu_gPkPsepqFQ</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Liu, Yiwen</creator><creator>Zhao, Yanni</creator><creator>Wu, Wentong</creator><creator>Ao, Xinmao</creator><creator>Chen, Rensheng</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><orcidid>https://orcid.org/0000-0002-2073-3098</orcidid><orcidid>https://orcid.org/0000-0002-3135-7008</orcidid></search><sort><creationdate>20241201</creationdate><title>The Response of Vegetation Dynamics to Climate in Xinjiang from 1991 to 2018</title><author>Liu, Yiwen ; Zhao, Yanni ; Wu, Wentong ; Ao, Xinmao ; Chen, Rensheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c186t-63b2fea1ad940e52fc2aabc4e32303bd32dae21d86d61884564dfe0c736c6e1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Agricultural land</topic><topic>Analysis</topic><topic>Arid regions</topic><topic>Arid zones</topic><topic>Biodiversity</topic><topic>Climate change</topic><topic>Climate prediction</topic><topic>Climatic changes</topic><topic>Complex variables</topic><topic>Datasets</topic><topic>Heterogeneity</topic><topic>Humidification</topic><topic>Influence</topic><topic>Land use</topic><topic>Meteorological data</topic><topic>Mountains</topic><topic>Normalized difference vegetative index</topic><topic>Precipitation</topic><topic>Precipitation (Meteorology)</topic><topic>Remote sensing</topic><topic>Spatial heterogeneity</topic><topic>Temperature</topic><topic>Terrestrial ecosystems</topic><topic>Vegetation</topic><topic>Vegetation and climate</topic><topic>Vegetation dynamics</topic><topic>Vegetation effects</topic><topic>Vegetation index</topic><topic>Water shortages</topic><topic>Weather</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Yiwen</creatorcontrib><creatorcontrib>Zhao, Yanni</creatorcontrib><creatorcontrib>Wu, Wentong</creatorcontrib><creatorcontrib>Ao, Xinmao</creatorcontrib><creatorcontrib>Chen, Rensheng</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agricultural Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><jtitle>Forests</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Yiwen</au><au>Zhao, Yanni</au><au>Wu, Wentong</au><au>Ao, Xinmao</au><au>Chen, Rensheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Response of Vegetation Dynamics to Climate in Xinjiang from 1991 to 2018</atitle><jtitle>Forests</jtitle><date>2024-12-01</date><risdate>2024</risdate><volume>15</volume><issue>12</issue><spage>2065</spage><pages>2065-</pages><issn>1999-4907</issn><eissn>1999-4907</eissn><abstract>Vegetation change is one of the most prominent features of terrestrial ecosystems responding to climate change. Further exploration of vegetation characteristics in this context is essential for accurately understanding and predicting ecosystem processes. Xinjiang, an arid region, is highly sensitive to slight climate changes, which can significantly affect vegetation dynamics. Therefore, determining the relationship between climate and vegetation is of paramount importance. Based on this, this study focused on Xinjiang, selecting remote sensing data (including NDVI, LAI, and GPP) as evaluating indices, and the spatiotemporal characteristics of vegetation response to climate from 1991 to 2018 were analyzed using synchronized meteorological data, examining the relationship between vegetation and climate. The results indicated that NDVI, LAI, and GPP all increased during the period, with slopes of 0.52, 0.14 m2/m2, and 1.19 g C m−2 yr−1, showing significant spatial heterogeneity in distribution. The net vegetation area increased by more than 20,000 km2, with cropland experiencing the largest increase. Vegetation in northern Xinjiang showed a more significant positive response to increased precipitation and temperature, while vegetation in southern Xinjiang responded more complexly and exhibited negative correlations with climatic factors. The results emphasized the varied responses of vegetation to climate variables, with temperature having a more complex effect on vegetation change, while precipitation showed more distinct differences between the various vegetation indices. These findings provide important insights into the ecological sustainability of Xinjiang under warming and humidification.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/f15122065</doi><orcidid>https://orcid.org/0000-0002-2073-3098</orcidid><orcidid>https://orcid.org/0000-0002-3135-7008</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1999-4907 |
ispartof | Forests, 2024-12, Vol.15 (12), p.2065 |
issn | 1999-4907 1999-4907 |
language | eng |
recordid | cdi_proquest_journals_3149619405 |
source | MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals |
subjects | Agricultural land Analysis Arid regions Arid zones Biodiversity Climate change Climate prediction Climatic changes Complex variables Datasets Heterogeneity Humidification Influence Land use Meteorological data Mountains Normalized difference vegetative index Precipitation Precipitation (Meteorology) Remote sensing Spatial heterogeneity Temperature Terrestrial ecosystems Vegetation Vegetation and climate Vegetation dynamics Vegetation effects Vegetation index Water shortages Weather |
title | The Response of Vegetation Dynamics to Climate in Xinjiang from 1991 to 2018 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T06%3A23%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Response%20of%20Vegetation%20Dynamics%20to%20Climate%20in%20Xinjiang%20from%201991%20to%202018&rft.jtitle=Forests&rft.au=Liu,%20Yiwen&rft.date=2024-12-01&rft.volume=15&rft.issue=12&rft.spage=2065&rft.pages=2065-&rft.issn=1999-4907&rft.eissn=1999-4907&rft_id=info:doi/10.3390/f15122065&rft_dat=%3Cgale_proqu%3EA821832769%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3149619405&rft_id=info:pmid/&rft_galeid=A821832769&rfr_iscdi=true |