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The global decline in the sensitivity of vegetation productivity to precipitation from 2001 to 2018
Abstract The sensitivity of vegetation productivity to precipitation ( S ppt ) is a key metric for understanding the variations in vegetation productivity under changing precipitation and predicting future changes in ecosystem functions. However, a comprehensive assessment of S ppt over all the glob...
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| Published in: | Global change biology 2022-09, Vol.28 (22) |
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| Main Authors: | , , , , , , , , , |
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| container_title | Global change biology |
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| creator | Zeng, Xiang Hu, Zhongmin Chen, Anping Yuan, Wenping Hou, Guolong Han, Daorui Liang, Minqi Di, Kai Cao, Ruochen Luo, Dengnan |
| description | Abstract
The sensitivity of vegetation productivity to precipitation (
S
ppt
) is a key metric for understanding the variations in vegetation productivity under changing precipitation and predicting future changes in ecosystem functions. However, a comprehensive assessment of
S
ppt
over all the global land is lacking. Here, we investigated spatial patterns and temporal changes of
S
ppt
across the global land from 2001 to 2018 with multiple streams of satellite observations. We found consistent spatial patterns of
S
ppt
with different satellite products:
S
ppt
was highest in dry regions while low in humid regions. Grassland and shrubland showed the highest
S
ppt
, and evergreen needle‐leaf forest and wetland showed the lowest. Temporally,
S
ppt
showed a generally declining trend over the past two decades (
p
|
| format | article |
| fullrecord | <record><control><sourceid>osti</sourceid><recordid>TN_cdi_osti_scitechconnect_2422016</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2422016</sourcerecordid><originalsourceid>FETCH-osti_scitechconnect_24220163</originalsourceid><addsrcrecordid>eNqNi00OgjAQhbvQRPy5Q-OeZFqQuDcaD8CeYBlgTO0QOpJ4ezHhAK5evve9t1KJyU55asBkG7WN8QkAmYUiUa7sUXeeH7XXDTpPATUFLXMbMUQSmkg-mls9YYdSC3HQw8jN2y1KeGZ0NNBi25Ff2gKYn7Jgznu1bmsf8bDkTh1v1_JyTzkKVdGRoOsdh4BOKpvb-VNkf42-duJEQA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>The global decline in the sensitivity of vegetation productivity to precipitation from 2001 to 2018</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Zeng, Xiang ; Hu, Zhongmin ; Chen, Anping ; Yuan, Wenping ; Hou, Guolong ; Han, Daorui ; Liang, Minqi ; Di, Kai ; Cao, Ruochen ; Luo, Dengnan</creator><creatorcontrib>Zeng, Xiang ; Hu, Zhongmin ; Chen, Anping ; Yuan, Wenping ; Hou, Guolong ; Han, Daorui ; Liang, Minqi ; Di, Kai ; Cao, Ruochen ; Luo, Dengnan ; Colorado State Univ., Fort Collins, CO (United States)</creatorcontrib><description>Abstract
The sensitivity of vegetation productivity to precipitation (
S
ppt
) is a key metric for understanding the variations in vegetation productivity under changing precipitation and predicting future changes in ecosystem functions. However, a comprehensive assessment of
S
ppt
over all the global land is lacking. Here, we investigated spatial patterns and temporal changes of
S
ppt
across the global land from 2001 to 2018 with multiple streams of satellite observations. We found consistent spatial patterns of
S
ppt
with different satellite products:
S
ppt
was highest in dry regions while low in humid regions. Grassland and shrubland showed the highest
S
ppt
, and evergreen needle‐leaf forest and wetland showed the lowest. Temporally,
S
ppt
showed a generally declining trend over the past two decades (
p
< .05), yet with clear spatial heterogeneities. The decline in
S
ppt
was especially noticeable in North America and Europe, likely due to the increase in precipitation. In central Russia and Australia, however,
S
ppt
showed an increasing trend. Biome‐wise, most ecosystem types exhibited significant decrease in
S
ppt
, while grassland, evergreen broadleaf forest, and mixed forest showed slight increases or non‐significant changes in
S
ppt
. Our finding of the overall decline in
S
ppt
implies a potential stabilization mechanism for ecosystem productivity under climate change. However, the revealed
S
ppt
increase for some regions and ecosystem types, in particular global grasslands, suggests that grasslands might be increasingly vulnerable to climatic variability with continuing global climate change.</description><identifier>ISSN: 1354-1013</identifier><language>eng</language><publisher>United States: Wiley</publisher><subject>Aridity index ; Biodiversity & Conservation ; Climate change ; ENVIRONMENTAL SCIENCES ; Environmental Sciences & Ecology ; Land models ; Precipitation sensitivity ; Spatial pattern ; Temporal trend ; Vegetation productivity</subject><ispartof>Global change biology, 2022-09, Vol.28 (22)</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000000218717056 ; 0000000320853863 ; 0000000248015370</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/2422016$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Zeng, Xiang</creatorcontrib><creatorcontrib>Hu, Zhongmin</creatorcontrib><creatorcontrib>Chen, Anping</creatorcontrib><creatorcontrib>Yuan, Wenping</creatorcontrib><creatorcontrib>Hou, Guolong</creatorcontrib><creatorcontrib>Han, Daorui</creatorcontrib><creatorcontrib>Liang, Minqi</creatorcontrib><creatorcontrib>Di, Kai</creatorcontrib><creatorcontrib>Cao, Ruochen</creatorcontrib><creatorcontrib>Luo, Dengnan</creatorcontrib><creatorcontrib>Colorado State Univ., Fort Collins, CO (United States)</creatorcontrib><title>The global decline in the sensitivity of vegetation productivity to precipitation from 2001 to 2018</title><title>Global change biology</title><description>Abstract
The sensitivity of vegetation productivity to precipitation (
S
ppt
) is a key metric for understanding the variations in vegetation productivity under changing precipitation and predicting future changes in ecosystem functions. However, a comprehensive assessment of
S
ppt
over all the global land is lacking. Here, we investigated spatial patterns and temporal changes of
S
ppt
across the global land from 2001 to 2018 with multiple streams of satellite observations. We found consistent spatial patterns of
S
ppt
with different satellite products:
S
ppt
was highest in dry regions while low in humid regions. Grassland and shrubland showed the highest
S
ppt
, and evergreen needle‐leaf forest and wetland showed the lowest. Temporally,
S
ppt
showed a generally declining trend over the past two decades (
p
< .05), yet with clear spatial heterogeneities. The decline in
S
ppt
was especially noticeable in North America and Europe, likely due to the increase in precipitation. In central Russia and Australia, however,
S
ppt
showed an increasing trend. Biome‐wise, most ecosystem types exhibited significant decrease in
S
ppt
, while grassland, evergreen broadleaf forest, and mixed forest showed slight increases or non‐significant changes in
S
ppt
. Our finding of the overall decline in
S
ppt
implies a potential stabilization mechanism for ecosystem productivity under climate change. However, the revealed
S
ppt
increase for some regions and ecosystem types, in particular global grasslands, suggests that grasslands might be increasingly vulnerable to climatic variability with continuing global climate change.</description><subject>Aridity index</subject><subject>Biodiversity & Conservation</subject><subject>Climate change</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Environmental Sciences & Ecology</subject><subject>Land models</subject><subject>Precipitation sensitivity</subject><subject>Spatial pattern</subject><subject>Temporal trend</subject><subject>Vegetation productivity</subject><issn>1354-1013</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqNi00OgjAQhbvQRPy5Q-OeZFqQuDcaD8CeYBlgTO0QOpJ4ezHhAK5evve9t1KJyU55asBkG7WN8QkAmYUiUa7sUXeeH7XXDTpPATUFLXMbMUQSmkg-mls9YYdSC3HQw8jN2y1KeGZ0NNBi25Ff2gKYn7Jgznu1bmsf8bDkTh1v1_JyTzkKVdGRoOsdh4BOKpvb-VNkf42-duJEQA</recordid><startdate>20220904</startdate><enddate>20220904</enddate><creator>Zeng, Xiang</creator><creator>Hu, Zhongmin</creator><creator>Chen, Anping</creator><creator>Yuan, Wenping</creator><creator>Hou, Guolong</creator><creator>Han, Daorui</creator><creator>Liang, Minqi</creator><creator>Di, Kai</creator><creator>Cao, Ruochen</creator><creator>Luo, Dengnan</creator><general>Wiley</general><scope>OIOZB</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000000218717056</orcidid><orcidid>https://orcid.org/0000000320853863</orcidid><orcidid>https://orcid.org/0000000248015370</orcidid></search><sort><creationdate>20220904</creationdate><title>The global decline in the sensitivity of vegetation productivity to precipitation from 2001 to 2018</title><author>Zeng, Xiang ; Hu, Zhongmin ; Chen, Anping ; Yuan, Wenping ; Hou, Guolong ; Han, Daorui ; Liang, Minqi ; Di, Kai ; Cao, Ruochen ; Luo, Dengnan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-osti_scitechconnect_24220163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aridity index</topic><topic>Biodiversity & Conservation</topic><topic>Climate change</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>Environmental Sciences & Ecology</topic><topic>Land models</topic><topic>Precipitation sensitivity</topic><topic>Spatial pattern</topic><topic>Temporal trend</topic><topic>Vegetation productivity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zeng, Xiang</creatorcontrib><creatorcontrib>Hu, Zhongmin</creatorcontrib><creatorcontrib>Chen, Anping</creatorcontrib><creatorcontrib>Yuan, Wenping</creatorcontrib><creatorcontrib>Hou, Guolong</creatorcontrib><creatorcontrib>Han, Daorui</creatorcontrib><creatorcontrib>Liang, Minqi</creatorcontrib><creatorcontrib>Di, Kai</creatorcontrib><creatorcontrib>Cao, Ruochen</creatorcontrib><creatorcontrib>Luo, Dengnan</creatorcontrib><creatorcontrib>Colorado State Univ., Fort Collins, CO (United States)</creatorcontrib><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><jtitle>Global change biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zeng, Xiang</au><au>Hu, Zhongmin</au><au>Chen, Anping</au><au>Yuan, Wenping</au><au>Hou, Guolong</au><au>Han, Daorui</au><au>Liang, Minqi</au><au>Di, Kai</au><au>Cao, Ruochen</au><au>Luo, Dengnan</au><aucorp>Colorado State Univ., Fort Collins, CO (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The global decline in the sensitivity of vegetation productivity to precipitation from 2001 to 2018</atitle><jtitle>Global change biology</jtitle><date>2022-09-04</date><risdate>2022</risdate><volume>28</volume><issue>22</issue><issn>1354-1013</issn><abstract>Abstract
The sensitivity of vegetation productivity to precipitation (
S
ppt
) is a key metric for understanding the variations in vegetation productivity under changing precipitation and predicting future changes in ecosystem functions. However, a comprehensive assessment of
S
ppt
over all the global land is lacking. Here, we investigated spatial patterns and temporal changes of
S
ppt
across the global land from 2001 to 2018 with multiple streams of satellite observations. We found consistent spatial patterns of
S
ppt
with different satellite products:
S
ppt
was highest in dry regions while low in humid regions. Grassland and shrubland showed the highest
S
ppt
, and evergreen needle‐leaf forest and wetland showed the lowest. Temporally,
S
ppt
showed a generally declining trend over the past two decades (
p
< .05), yet with clear spatial heterogeneities. The decline in
S
ppt
was especially noticeable in North America and Europe, likely due to the increase in precipitation. In central Russia and Australia, however,
S
ppt
showed an increasing trend. Biome‐wise, most ecosystem types exhibited significant decrease in
S
ppt
, while grassland, evergreen broadleaf forest, and mixed forest showed slight increases or non‐significant changes in
S
ppt
. Our finding of the overall decline in
S
ppt
implies a potential stabilization mechanism for ecosystem productivity under climate change. However, the revealed
S
ppt
increase for some regions and ecosystem types, in particular global grasslands, suggests that grasslands might be increasingly vulnerable to climatic variability with continuing global climate change.</abstract><cop>United States</cop><pub>Wiley</pub><orcidid>https://orcid.org/0000000218717056</orcidid><orcidid>https://orcid.org/0000000320853863</orcidid><orcidid>https://orcid.org/0000000248015370</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1354-1013 |
| ispartof | Global change biology, 2022-09, Vol.28 (22) |
| issn | 1354-1013 |
| language | eng |
| recordid | cdi_osti_scitechconnect_2422016 |
| source | Wiley-Blackwell Read & Publish Collection |
| subjects | Aridity index Biodiversity & Conservation Climate change ENVIRONMENTAL SCIENCES Environmental Sciences & Ecology Land models Precipitation sensitivity Spatial pattern Temporal trend Vegetation productivity |
| title | The global decline in the sensitivity of vegetation productivity to precipitation from 2001 to 2018 |
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