Tree cover shows strong sensitivity to precipitation variability across the global tropics
Aim: Vegetation is sensitive to mean annual precipitation (MAP), but the sensitivity of vegetation to precipitation variability (PV) is less clear. Tropical ecosystems are likely to experience increased PV in the future. Here we assessed the importance, magnitude and mechanism of PV effects on tree...
Gespeichert in:
Veröffentlicht in: | Global ecology and biogeography 2018-04, Vol.27 (3/4), p.450-460 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 460 |
---|---|
container_issue | 3/4 |
container_start_page | 450 |
container_title | Global ecology and biogeography |
container_volume | 27 |
creator | Xu, Xiangtao Medvigy, David Trugman, Anna T. Guan, Kaiyu Good, Stephen P. Rodriguez-Iturbe, Ignacio |
description | Aim: Vegetation is sensitive to mean annual precipitation (MAP), but the sensitivity of vegetation to precipitation variability (PV) is less clear. Tropical ecosystems are likely to experience increased PV in the future. Here we assessed the importance, magnitude and mechanism of PV effects on tree cover in the context of covarying environmental drivers such as fire, temperature and soil properties. Location: Tropical land. Time period: 2000–2010. Major taxa studied: Trees. Methods: We compiled climate, soil and remotely-sensed tree cover data over tropical land. We then comprehensively assessed the contribution of PV at different time-scales to tropical tree cover variations and estimated the sensitivity of tree cover to PV changes by conducting rolling-window regression and variance decomposition analyses. We further adopted a mechanistic modelling approach to test whether water competition between trees and grasses can explain the observed effect of PV. Results: We find that PV contributes 33–56% to the total explained spatial variation (65–79%) in tree cover. The contribution of PV depends on MAP and is highest under intermediate MAP (500–1,500 mm). Tree cover generally increases with rainy day frequency and wet season length but shows mixed responses to inter-annual PV. Based on the estimated sensitivity, tropical tree cover can decrease by 3–5% overall and by up to 20% in Amazonia under a 20% decrease in rainy days. Mechanistic modelling analysis reproduced the continental differences in tree cover along an MAP gradient. Main conclusions: Under intermediate rainfall regimes (500–1,500 mm), PV can be a more important determinant of tropical tree cover than conventionally proposed drivers such as MAP and fire. The effect of PV likely results from the sensitivity of tree–grass competition to the temporal distribution of water resources. These results show that climate variability can strongly shape the biosphere. |
doi_str_mv | 10.1111/geb.12707 |
format | Article |
fullrecord | <record><control><sourceid>jstor_osti_</sourceid><recordid>TN_cdi_osti_scitechconnect_1415296</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>26635813</jstor_id><sourcerecordid>26635813</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3817-bc1f03287399849f0eb350d4cee7c8f1810fafea6abd48c09267dd341d7e4ac83</originalsourceid><addsrcrecordid>eNp1kD9PwzAQxSMEEqUw8AGQLJgYUuzYsZ0RqvJHqsQCEmKxHOfSugpxsN1W_faEBti45U6633u6e0lyTvCE9HWzgHJCMoHFQTIijPNUZlQe_s3Z23FyEsIKY5yznI-S9xcPgIzbgEdh6bYBhehdu0AB2mCj3di4Q9GhzoOxnY06WteijfZWl7b5XmrjXQgoLgEtGlfqBvUGnTXhNDmqdRPg7KePk9f72cv0MZ0_PzxNb-epoZKItDSkxjSTghaFZEWNoaQ5rpgBEEbWRBJc6xo012XFpMFFxkVVUUYqAUwbScfJ5eDrQrQqGBvBLI1rWzBREUbyrOA9dDVAnXefawhRrdzat_1dKsNE5pwzIXrqeqD2P3moVefth_Y7RbD6zlf1-ap9vj17M7Bb28Duf1A9zO5-FReDYhWi83-KjHOaS0LpFws1hv0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2018566477</pqid></control><display><type>article</type><title>Tree cover shows strong sensitivity to precipitation variability across the global tropics</title><source>Wiley Online Library Journals Frontfile Complete</source><source>Jstor Complete Legacy</source><creator>Xu, Xiangtao ; Medvigy, David ; Trugman, Anna T. ; Guan, Kaiyu ; Good, Stephen P. ; Rodriguez-Iturbe, Ignacio</creator><creatorcontrib>Xu, Xiangtao ; Medvigy, David ; Trugman, Anna T. ; Guan, Kaiyu ; Good, Stephen P. ; Rodriguez-Iturbe, Ignacio</creatorcontrib><description>Aim: Vegetation is sensitive to mean annual precipitation (MAP), but the sensitivity of vegetation to precipitation variability (PV) is less clear. Tropical ecosystems are likely to experience increased PV in the future. Here we assessed the importance, magnitude and mechanism of PV effects on tree cover in the context of covarying environmental drivers such as fire, temperature and soil properties. Location: Tropical land. Time period: 2000–2010. Major taxa studied: Trees. Methods: We compiled climate, soil and remotely-sensed tree cover data over tropical land. We then comprehensively assessed the contribution of PV at different time-scales to tropical tree cover variations and estimated the sensitivity of tree cover to PV changes by conducting rolling-window regression and variance decomposition analyses. We further adopted a mechanistic modelling approach to test whether water competition between trees and grasses can explain the observed effect of PV. Results: We find that PV contributes 33–56% to the total explained spatial variation (65–79%) in tree cover. The contribution of PV depends on MAP and is highest under intermediate MAP (500–1,500 mm). Tree cover generally increases with rainy day frequency and wet season length but shows mixed responses to inter-annual PV. Based on the estimated sensitivity, tropical tree cover can decrease by 3–5% overall and by up to 20% in Amazonia under a 20% decrease in rainy days. Mechanistic modelling analysis reproduced the continental differences in tree cover along an MAP gradient. Main conclusions: Under intermediate rainfall regimes (500–1,500 mm), PV can be a more important determinant of tropical tree cover than conventionally proposed drivers such as MAP and fire. The effect of PV likely results from the sensitivity of tree–grass competition to the temporal distribution of water resources. These results show that climate variability can strongly shape the biosphere.</description><identifier>ISSN: 1466-822X</identifier><identifier>EISSN: 1466-8238</identifier><identifier>DOI: 10.1111/geb.12707</identifier><language>eng</language><publisher>Oxford: John Wiley & Sons Ltd</publisher><subject>Annual precipitation ; biogeography ; Biosphere ; Climate variability ; Competition ; ecohydrology ; Environmental changes ; Grasses ; Modelling ; Precipitation ; precipitation variability ; Rainfall ; Rainy season ; Regression analysis ; Remote sensing ; Sensitivity ; Soil properties ; Soil temperature ; Spatial distribution ; Temporal distribution ; tree cover ; Trees ; tree–grass competition ; tropical ecology ; Tropical environments ; Variability ; Variance analysis ; Vegetation ; Water resources</subject><ispartof>Global ecology and biogeography, 2018-04, Vol.27 (3/4), p.450-460</ispartof><rights>Copyright © 2018 John Wiley & Sons Ltd.</rights><rights>2018 John Wiley & Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3817-bc1f03287399849f0eb350d4cee7c8f1810fafea6abd48c09267dd341d7e4ac83</citedby><cites>FETCH-LOGICAL-c3817-bc1f03287399849f0eb350d4cee7c8f1810fafea6abd48c09267dd341d7e4ac83</cites><orcidid>0000-0002-9402-9474 ; 0000000294029474</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/26635813$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/26635813$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,777,781,800,882,1412,27905,27906,45555,45556,57998,58231</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1415296$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Xu, Xiangtao</creatorcontrib><creatorcontrib>Medvigy, David</creatorcontrib><creatorcontrib>Trugman, Anna T.</creatorcontrib><creatorcontrib>Guan, Kaiyu</creatorcontrib><creatorcontrib>Good, Stephen P.</creatorcontrib><creatorcontrib>Rodriguez-Iturbe, Ignacio</creatorcontrib><title>Tree cover shows strong sensitivity to precipitation variability across the global tropics</title><title>Global ecology and biogeography</title><description>Aim: Vegetation is sensitive to mean annual precipitation (MAP), but the sensitivity of vegetation to precipitation variability (PV) is less clear. Tropical ecosystems are likely to experience increased PV in the future. Here we assessed the importance, magnitude and mechanism of PV effects on tree cover in the context of covarying environmental drivers such as fire, temperature and soil properties. Location: Tropical land. Time period: 2000–2010. Major taxa studied: Trees. Methods: We compiled climate, soil and remotely-sensed tree cover data over tropical land. We then comprehensively assessed the contribution of PV at different time-scales to tropical tree cover variations and estimated the sensitivity of tree cover to PV changes by conducting rolling-window regression and variance decomposition analyses. We further adopted a mechanistic modelling approach to test whether water competition between trees and grasses can explain the observed effect of PV. Results: We find that PV contributes 33–56% to the total explained spatial variation (65–79%) in tree cover. The contribution of PV depends on MAP and is highest under intermediate MAP (500–1,500 mm). Tree cover generally increases with rainy day frequency and wet season length but shows mixed responses to inter-annual PV. Based on the estimated sensitivity, tropical tree cover can decrease by 3–5% overall and by up to 20% in Amazonia under a 20% decrease in rainy days. Mechanistic modelling analysis reproduced the continental differences in tree cover along an MAP gradient. Main conclusions: Under intermediate rainfall regimes (500–1,500 mm), PV can be a more important determinant of tropical tree cover than conventionally proposed drivers such as MAP and fire. The effect of PV likely results from the sensitivity of tree–grass competition to the temporal distribution of water resources. These results show that climate variability can strongly shape the biosphere.</description><subject>Annual precipitation</subject><subject>biogeography</subject><subject>Biosphere</subject><subject>Climate variability</subject><subject>Competition</subject><subject>ecohydrology</subject><subject>Environmental changes</subject><subject>Grasses</subject><subject>Modelling</subject><subject>Precipitation</subject><subject>precipitation variability</subject><subject>Rainfall</subject><subject>Rainy season</subject><subject>Regression analysis</subject><subject>Remote sensing</subject><subject>Sensitivity</subject><subject>Soil properties</subject><subject>Soil temperature</subject><subject>Spatial distribution</subject><subject>Temporal distribution</subject><subject>tree cover</subject><subject>Trees</subject><subject>tree–grass competition</subject><subject>tropical ecology</subject><subject>Tropical environments</subject><subject>Variability</subject><subject>Variance analysis</subject><subject>Vegetation</subject><subject>Water resources</subject><issn>1466-822X</issn><issn>1466-8238</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kD9PwzAQxSMEEqUw8AGQLJgYUuzYsZ0RqvJHqsQCEmKxHOfSugpxsN1W_faEBti45U6633u6e0lyTvCE9HWzgHJCMoHFQTIijPNUZlQe_s3Z23FyEsIKY5yznI-S9xcPgIzbgEdh6bYBhehdu0AB2mCj3di4Q9GhzoOxnY06WteijfZWl7b5XmrjXQgoLgEtGlfqBvUGnTXhNDmqdRPg7KePk9f72cv0MZ0_PzxNb-epoZKItDSkxjSTghaFZEWNoaQ5rpgBEEbWRBJc6xo012XFpMFFxkVVUUYqAUwbScfJ5eDrQrQqGBvBLI1rWzBREUbyrOA9dDVAnXefawhRrdzat_1dKsNE5pwzIXrqeqD2P3moVefth_Y7RbD6zlf1-ap9vj17M7Bb28Duf1A9zO5-FReDYhWi83-KjHOaS0LpFws1hv0</recordid><startdate>201804</startdate><enddate>201804</enddate><creator>Xu, Xiangtao</creator><creator>Medvigy, David</creator><creator>Trugman, Anna T.</creator><creator>Guan, Kaiyu</creator><creator>Good, Stephen P.</creator><creator>Rodriguez-Iturbe, Ignacio</creator><general>John Wiley & Sons Ltd</general><general>Wiley Subscription Services, Inc</general><general>Wiley-Blackwell</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0002-9402-9474</orcidid><orcidid>https://orcid.org/0000000294029474</orcidid></search><sort><creationdate>201804</creationdate><title>Tree cover shows strong sensitivity to precipitation variability across the global tropics</title><author>Xu, Xiangtao ; Medvigy, David ; Trugman, Anna T. ; Guan, Kaiyu ; Good, Stephen P. ; Rodriguez-Iturbe, Ignacio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3817-bc1f03287399849f0eb350d4cee7c8f1810fafea6abd48c09267dd341d7e4ac83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Annual precipitation</topic><topic>biogeography</topic><topic>Biosphere</topic><topic>Climate variability</topic><topic>Competition</topic><topic>ecohydrology</topic><topic>Environmental changes</topic><topic>Grasses</topic><topic>Modelling</topic><topic>Precipitation</topic><topic>precipitation variability</topic><topic>Rainfall</topic><topic>Rainy season</topic><topic>Regression analysis</topic><topic>Remote sensing</topic><topic>Sensitivity</topic><topic>Soil properties</topic><topic>Soil temperature</topic><topic>Spatial distribution</topic><topic>Temporal distribution</topic><topic>tree cover</topic><topic>Trees</topic><topic>tree–grass competition</topic><topic>tropical ecology</topic><topic>Tropical environments</topic><topic>Variability</topic><topic>Variance analysis</topic><topic>Vegetation</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Xiangtao</creatorcontrib><creatorcontrib>Medvigy, David</creatorcontrib><creatorcontrib>Trugman, Anna T.</creatorcontrib><creatorcontrib>Guan, Kaiyu</creatorcontrib><creatorcontrib>Good, Stephen P.</creatorcontrib><creatorcontrib>Rodriguez-Iturbe, Ignacio</creatorcontrib><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>OSTI.GOV</collection><jtitle>Global ecology and biogeography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Xiangtao</au><au>Medvigy, David</au><au>Trugman, Anna T.</au><au>Guan, Kaiyu</au><au>Good, Stephen P.</au><au>Rodriguez-Iturbe, Ignacio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Tree cover shows strong sensitivity to precipitation variability across the global tropics</atitle><jtitle>Global ecology and biogeography</jtitle><date>2018-04</date><risdate>2018</risdate><volume>27</volume><issue>3/4</issue><spage>450</spage><epage>460</epage><pages>450-460</pages><issn>1466-822X</issn><eissn>1466-8238</eissn><abstract>Aim: Vegetation is sensitive to mean annual precipitation (MAP), but the sensitivity of vegetation to precipitation variability (PV) is less clear. Tropical ecosystems are likely to experience increased PV in the future. Here we assessed the importance, magnitude and mechanism of PV effects on tree cover in the context of covarying environmental drivers such as fire, temperature and soil properties. Location: Tropical land. Time period: 2000–2010. Major taxa studied: Trees. Methods: We compiled climate, soil and remotely-sensed tree cover data over tropical land. We then comprehensively assessed the contribution of PV at different time-scales to tropical tree cover variations and estimated the sensitivity of tree cover to PV changes by conducting rolling-window regression and variance decomposition analyses. We further adopted a mechanistic modelling approach to test whether water competition between trees and grasses can explain the observed effect of PV. Results: We find that PV contributes 33–56% to the total explained spatial variation (65–79%) in tree cover. The contribution of PV depends on MAP and is highest under intermediate MAP (500–1,500 mm). Tree cover generally increases with rainy day frequency and wet season length but shows mixed responses to inter-annual PV. Based on the estimated sensitivity, tropical tree cover can decrease by 3–5% overall and by up to 20% in Amazonia under a 20% decrease in rainy days. Mechanistic modelling analysis reproduced the continental differences in tree cover along an MAP gradient. Main conclusions: Under intermediate rainfall regimes (500–1,500 mm), PV can be a more important determinant of tropical tree cover than conventionally proposed drivers such as MAP and fire. The effect of PV likely results from the sensitivity of tree–grass competition to the temporal distribution of water resources. These results show that climate variability can strongly shape the biosphere.</abstract><cop>Oxford</cop><pub>John Wiley & Sons Ltd</pub><doi>10.1111/geb.12707</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-9402-9474</orcidid><orcidid>https://orcid.org/0000000294029474</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1466-822X |
ispartof | Global ecology and biogeography, 2018-04, Vol.27 (3/4), p.450-460 |
issn | 1466-822X 1466-8238 |
language | eng |
recordid | cdi_osti_scitechconnect_1415296 |
source | Wiley Online Library Journals Frontfile Complete; Jstor Complete Legacy |
subjects | Annual precipitation biogeography Biosphere Climate variability Competition ecohydrology Environmental changes Grasses Modelling Precipitation precipitation variability Rainfall Rainy season Regression analysis Remote sensing Sensitivity Soil properties Soil temperature Spatial distribution Temporal distribution tree cover Trees tree–grass competition tropical ecology Tropical environments Variability Variance analysis Vegetation Water resources |
title | Tree cover shows strong sensitivity to precipitation variability across the global tropics |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T10%3A46%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_osti_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Tree%20cover%20shows%20strong%20sensitivity%20to%20precipitation%20variability%20across%20the%20global%20tropics&rft.jtitle=Global%20ecology%20and%20biogeography&rft.au=Xu,%20Xiangtao&rft.date=2018-04&rft.volume=27&rft.issue=3/4&rft.spage=450&rft.epage=460&rft.pages=450-460&rft.issn=1466-822X&rft.eissn=1466-8238&rft_id=info:doi/10.1111/geb.12707&rft_dat=%3Cjstor_osti_%3E26635813%3C/jstor_osti_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2018566477&rft_id=info:pmid/&rft_jstor_id=26635813&rfr_iscdi=true |