Predicting plant species climate niches on the basis of mechanistic traits
Improved estimation of climate niches is critical, given climate change. Plant adaptation to climate depends on their physiological traits and their distributions, yet traits are rarely used to inform the estimation of species climate niches, and the power of a trait‐based approach has been controve...
Gespeichert in:
Veröffentlicht in: | Functional ecology 2023-11, Vol.37 (11), p.2786-2808 |
---|---|
Hauptverfasser: | , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2808 |
---|---|
container_issue | 11 |
container_start_page | 2786 |
container_title | Functional ecology |
container_volume | 37 |
creator | Medeiros, Camila D. Henry, Christian Trueba, Santiago Anghel, Ioana Guerrero, Samantha Dannet Diaz de Leon Pivovaroff, Alexandria Fletcher, Leila R. John, Grace P. Lutz, James A. Méndez Alonzo, Rodrigo Sack, Lawren |
description | Improved estimation of climate niches is critical, given climate change. Plant adaptation to climate depends on their physiological traits and their distributions, yet traits are rarely used to inform the estimation of species climate niches, and the power of a trait‐based approach has been controversial, given the many ecological factors and methodological issues that may result in decoupling of species' traits from their native climate.
For 107 species across six ecosystems of California, we tested the hypothesis that mechanistic leaf and wood traits can robustly predict the mean of diverse species' climate distributions, when combining methodological improvements from previous studies, including standard trait measurements and sampling plants growing together at few sites. Further, we introduce an approach to quantify species' trait‐climate mismatch.
We demonstrate a strong power to predict species mean climate from traits. As hypothesized, the prediction of species mean climate is stronger (and mismatch lower) when traits are sampled for individuals closer to species' mean climates.
Improved resolution of species' climate niches based on mechanistic traits can importantly inform conservation of vulnerable species under the threat of climatic shifts in upcoming decades.
Read the free Plain Language Summary for this article on the Journal blog.
Resumen
Mejorar la estimación de los nichos climáticos es fundamental debido al cambio climático. La adaptación de las plantas al clima depende de sus atributos fisiológicos y sus distribuciones, sin embargo, los atributos funcionales rara vez son empleados para informar sobre la estimación de los nichos climáticos de las especies y la relevancia del enfoque basado en los atributos ha sido controversial debido a los múltiples factores ecológicos y problemas metodológicos que pueden resultar en el desacoplamiento de los atributos de las especies respecto a su clima nativo.
Para 107 especies a través de seis ecosistemas de California, probamos la hipótesis de que los atributos mecanicistas de hojas y madera pueden predecir con robustez la media de las distribuciones climáticas de este conjunto diverso de especies, al combinar mejoras en la metodología de estudios previos, incluyendo mediciones estandarizadas de los atributos y la colecta de plantas coexistentes en pocos lugares. Además, introducimos un enfoque para cuantificar el desajuste entre el clima y los atributos de las especies.
Demostramos que los atributos |
doi_str_mv | 10.1111/1365-2435.14422 |
format | Article |
fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_04396661v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2886830762</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3902-2a42b14498aa720951c994c0a1c5290da6b2976c40c78e88b39b82bef660ba353</originalsourceid><addsrcrecordid>eNqFkL1PwzAQxS0EEqUws1piYkjrrzj2WFWFgirBALPluA5xlSbBdkH973EI6sotp3v6vdPTA-AWoxlOM8eU5xlhNJ9hxgg5A5OTcg4miHCZCcbpJbgKYYcQkjkhE_D86u3WmejaD9g3uo0w9NY4G6Bp3F5HC1tn6nR2LYy1haUOLh0V3FtT69aF6AyMXrsYrsFFpZtgb_72FLw_rN6W62zz8vi0XGwyQyUiGdGMlCmiFFoXJMXARkpmkMYmJxJtNS-JLLhhyBTCClFSWQpS2opzVGqa0ym4H__WulG9Tyn9UXXaqfViowYNMSo55_gLJ_ZuZHvffR5siGrXHXyb4ikiBBcUFZwkaj5SxncheFud3mKkhnLVUKUaqlS_5SZHPjq-XWOP_-HqYbUcfT-s33kh</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2886830762</pqid></control><display><type>article</type><title>Predicting plant species climate niches on the basis of mechanistic traits</title><source>Wiley Online Library (Online service)</source><creator>Medeiros, Camila D. ; Henry, Christian ; Trueba, Santiago ; Anghel, Ioana ; Guerrero, Samantha Dannet Diaz de Leon ; Pivovaroff, Alexandria ; Fletcher, Leila R. ; John, Grace P. ; Lutz, James A. ; Méndez Alonzo, Rodrigo ; Sack, Lawren</creator><creatorcontrib>Medeiros, Camila D. ; Henry, Christian ; Trueba, Santiago ; Anghel, Ioana ; Guerrero, Samantha Dannet Diaz de Leon ; Pivovaroff, Alexandria ; Fletcher, Leila R. ; John, Grace P. ; Lutz, James A. ; Méndez Alonzo, Rodrigo ; Sack, Lawren</creatorcontrib><description>Improved estimation of climate niches is critical, given climate change. Plant adaptation to climate depends on their physiological traits and their distributions, yet traits are rarely used to inform the estimation of species climate niches, and the power of a trait‐based approach has been controversial, given the many ecological factors and methodological issues that may result in decoupling of species' traits from their native climate.
For 107 species across six ecosystems of California, we tested the hypothesis that mechanistic leaf and wood traits can robustly predict the mean of diverse species' climate distributions, when combining methodological improvements from previous studies, including standard trait measurements and sampling plants growing together at few sites. Further, we introduce an approach to quantify species' trait‐climate mismatch.
We demonstrate a strong power to predict species mean climate from traits. As hypothesized, the prediction of species mean climate is stronger (and mismatch lower) when traits are sampled for individuals closer to species' mean climates.
Improved resolution of species' climate niches based on mechanistic traits can importantly inform conservation of vulnerable species under the threat of climatic shifts in upcoming decades.
Read the free Plain Language Summary for this article on the Journal blog.
Resumen
Mejorar la estimación de los nichos climáticos es fundamental debido al cambio climático. La adaptación de las plantas al clima depende de sus atributos fisiológicos y sus distribuciones, sin embargo, los atributos funcionales rara vez son empleados para informar sobre la estimación de los nichos climáticos de las especies y la relevancia del enfoque basado en los atributos ha sido controversial debido a los múltiples factores ecológicos y problemas metodológicos que pueden resultar en el desacoplamiento de los atributos de las especies respecto a su clima nativo.
Para 107 especies a través de seis ecosistemas de California, probamos la hipótesis de que los atributos mecanicistas de hojas y madera pueden predecir con robustez la media de las distribuciones climáticas de este conjunto diverso de especies, al combinar mejoras en la metodología de estudios previos, incluyendo mediciones estandarizadas de los atributos y la colecta de plantas coexistentes en pocos lugares. Además, introducimos un enfoque para cuantificar el desajuste entre el clima y los atributos de las especies.
Demostramos que los atributos predicen fuertemente el clima medio de las especies. Conforme nuestra hipótesis, la predicción del clima medio de las especies es más precisa (y el desajuste menor) cuando los atributos se recolectan en individuos más cercanos a su clima medio.
La resolución mejorada de los nichos climáticos de las especies basadas en los atributos mecanicistas es muy importante para informar sobre la conservación de especies vulnerables a la amenaza de los cambios climáticos de las próximas décadas.
Read the free Plain Language Summary for this article on the Journal blog.</description><identifier>ISSN: 0269-8463</identifier><identifier>EISSN: 1365-2435</identifier><identifier>DOI: 10.1111/1365-2435.14422</identifier><language>eng</language><publisher>London: Wiley Subscription Services, Inc</publisher><subject>Climate adaptation ; Climate change ; Climate prediction ; climatic niche ; Decoupling ; Ecological effects ; ecophysiology ; Environmental Sciences ; functional traits ; Indigenous species ; intraspecific variation ; Niches ; plant climate distributions ; Plant species ; Plants (botany) ; Species diversity ; Threatened species ; trait multifunctionality ; trait‐climate mismatch ; Wildlife conservation</subject><ispartof>Functional ecology, 2023-11, Vol.37 (11), p.2786-2808</ispartof><rights>2023 The Authors. published by John Wiley & Sons Ltd on behalf of British Ecological Society.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution - NonCommercial</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3902-2a42b14498aa720951c994c0a1c5290da6b2976c40c78e88b39b82bef660ba353</citedby><cites>FETCH-LOGICAL-c3902-2a42b14498aa720951c994c0a1c5290da6b2976c40c78e88b39b82bef660ba353</cites><orcidid>0000-0002-0282-2329 ; 0000-0003-4805-8212 ; 0000-0002-7009-7202 ; 0000-0002-2560-0710 ; 0000-0002-1454-8718 ; 0000-0002-5822-5603 ; 0000-0002-2380-041X ; 0000-0002-3104-1900 ; 0000-0002-8045-5982 ; 0000-0001-8218-957X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F1365-2435.14422$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1365-2435.14422$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://hal.inrae.fr/hal-04396661$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Medeiros, Camila D.</creatorcontrib><creatorcontrib>Henry, Christian</creatorcontrib><creatorcontrib>Trueba, Santiago</creatorcontrib><creatorcontrib>Anghel, Ioana</creatorcontrib><creatorcontrib>Guerrero, Samantha Dannet Diaz de Leon</creatorcontrib><creatorcontrib>Pivovaroff, Alexandria</creatorcontrib><creatorcontrib>Fletcher, Leila R.</creatorcontrib><creatorcontrib>John, Grace P.</creatorcontrib><creatorcontrib>Lutz, James A.</creatorcontrib><creatorcontrib>Méndez Alonzo, Rodrigo</creatorcontrib><creatorcontrib>Sack, Lawren</creatorcontrib><title>Predicting plant species climate niches on the basis of mechanistic traits</title><title>Functional ecology</title><description>Improved estimation of climate niches is critical, given climate change. Plant adaptation to climate depends on their physiological traits and their distributions, yet traits are rarely used to inform the estimation of species climate niches, and the power of a trait‐based approach has been controversial, given the many ecological factors and methodological issues that may result in decoupling of species' traits from their native climate.
For 107 species across six ecosystems of California, we tested the hypothesis that mechanistic leaf and wood traits can robustly predict the mean of diverse species' climate distributions, when combining methodological improvements from previous studies, including standard trait measurements and sampling plants growing together at few sites. Further, we introduce an approach to quantify species' trait‐climate mismatch.
We demonstrate a strong power to predict species mean climate from traits. As hypothesized, the prediction of species mean climate is stronger (and mismatch lower) when traits are sampled for individuals closer to species' mean climates.
Improved resolution of species' climate niches based on mechanistic traits can importantly inform conservation of vulnerable species under the threat of climatic shifts in upcoming decades.
Read the free Plain Language Summary for this article on the Journal blog.
Resumen
Mejorar la estimación de los nichos climáticos es fundamental debido al cambio climático. La adaptación de las plantas al clima depende de sus atributos fisiológicos y sus distribuciones, sin embargo, los atributos funcionales rara vez son empleados para informar sobre la estimación de los nichos climáticos de las especies y la relevancia del enfoque basado en los atributos ha sido controversial debido a los múltiples factores ecológicos y problemas metodológicos que pueden resultar en el desacoplamiento de los atributos de las especies respecto a su clima nativo.
Para 107 especies a través de seis ecosistemas de California, probamos la hipótesis de que los atributos mecanicistas de hojas y madera pueden predecir con robustez la media de las distribuciones climáticas de este conjunto diverso de especies, al combinar mejoras en la metodología de estudios previos, incluyendo mediciones estandarizadas de los atributos y la colecta de plantas coexistentes en pocos lugares. Además, introducimos un enfoque para cuantificar el desajuste entre el clima y los atributos de las especies.
Demostramos que los atributos predicen fuertemente el clima medio de las especies. Conforme nuestra hipótesis, la predicción del clima medio de las especies es más precisa (y el desajuste menor) cuando los atributos se recolectan en individuos más cercanos a su clima medio.
La resolución mejorada de los nichos climáticos de las especies basadas en los atributos mecanicistas es muy importante para informar sobre la conservación de especies vulnerables a la amenaza de los cambios climáticos de las próximas décadas.
Read the free Plain Language Summary for this article on the Journal blog.</description><subject>Climate adaptation</subject><subject>Climate change</subject><subject>Climate prediction</subject><subject>climatic niche</subject><subject>Decoupling</subject><subject>Ecological effects</subject><subject>ecophysiology</subject><subject>Environmental Sciences</subject><subject>functional traits</subject><subject>Indigenous species</subject><subject>intraspecific variation</subject><subject>Niches</subject><subject>plant climate distributions</subject><subject>Plant species</subject><subject>Plants (botany)</subject><subject>Species diversity</subject><subject>Threatened species</subject><subject>trait multifunctionality</subject><subject>trait‐climate mismatch</subject><subject>Wildlife conservation</subject><issn>0269-8463</issn><issn>1365-2435</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNqFkL1PwzAQxS0EEqUws1piYkjrrzj2WFWFgirBALPluA5xlSbBdkH973EI6sotp3v6vdPTA-AWoxlOM8eU5xlhNJ9hxgg5A5OTcg4miHCZCcbpJbgKYYcQkjkhE_D86u3WmejaD9g3uo0w9NY4G6Bp3F5HC1tn6nR2LYy1haUOLh0V3FtT69aF6AyMXrsYrsFFpZtgb_72FLw_rN6W62zz8vi0XGwyQyUiGdGMlCmiFFoXJMXARkpmkMYmJxJtNS-JLLhhyBTCClFSWQpS2opzVGqa0ym4H__WulG9Tyn9UXXaqfViowYNMSo55_gLJ_ZuZHvffR5siGrXHXyb4ikiBBcUFZwkaj5SxncheFud3mKkhnLVUKUaqlS_5SZHPjq-XWOP_-HqYbUcfT-s33kh</recordid><startdate>202311</startdate><enddate>202311</enddate><creator>Medeiros, Camila D.</creator><creator>Henry, Christian</creator><creator>Trueba, Santiago</creator><creator>Anghel, Ioana</creator><creator>Guerrero, Samantha Dannet Diaz de Leon</creator><creator>Pivovaroff, Alexandria</creator><creator>Fletcher, Leila R.</creator><creator>John, Grace P.</creator><creator>Lutz, James A.</creator><creator>Méndez Alonzo, Rodrigo</creator><creator>Sack, Lawren</creator><general>Wiley Subscription Services, Inc</general><general>Wiley</general><scope>24P</scope><scope>WIN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QG</scope><scope>7SN</scope><scope>7SS</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-0282-2329</orcidid><orcidid>https://orcid.org/0000-0003-4805-8212</orcidid><orcidid>https://orcid.org/0000-0002-7009-7202</orcidid><orcidid>https://orcid.org/0000-0002-2560-0710</orcidid><orcidid>https://orcid.org/0000-0002-1454-8718</orcidid><orcidid>https://orcid.org/0000-0002-5822-5603</orcidid><orcidid>https://orcid.org/0000-0002-2380-041X</orcidid><orcidid>https://orcid.org/0000-0002-3104-1900</orcidid><orcidid>https://orcid.org/0000-0002-8045-5982</orcidid><orcidid>https://orcid.org/0000-0001-8218-957X</orcidid></search><sort><creationdate>202311</creationdate><title>Predicting plant species climate niches on the basis of mechanistic traits</title><author>Medeiros, Camila D. ; Henry, Christian ; Trueba, Santiago ; Anghel, Ioana ; Guerrero, Samantha Dannet Diaz de Leon ; Pivovaroff, Alexandria ; Fletcher, Leila R. ; John, Grace P. ; Lutz, James A. ; Méndez Alonzo, Rodrigo ; Sack, Lawren</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3902-2a42b14498aa720951c994c0a1c5290da6b2976c40c78e88b39b82bef660ba353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Climate adaptation</topic><topic>Climate change</topic><topic>Climate prediction</topic><topic>climatic niche</topic><topic>Decoupling</topic><topic>Ecological effects</topic><topic>ecophysiology</topic><topic>Environmental Sciences</topic><topic>functional traits</topic><topic>Indigenous species</topic><topic>intraspecific variation</topic><topic>Niches</topic><topic>plant climate distributions</topic><topic>Plant species</topic><topic>Plants (botany)</topic><topic>Species diversity</topic><topic>Threatened species</topic><topic>trait multifunctionality</topic><topic>trait‐climate mismatch</topic><topic>Wildlife conservation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Medeiros, Camila D.</creatorcontrib><creatorcontrib>Henry, Christian</creatorcontrib><creatorcontrib>Trueba, Santiago</creatorcontrib><creatorcontrib>Anghel, Ioana</creatorcontrib><creatorcontrib>Guerrero, Samantha Dannet Diaz de Leon</creatorcontrib><creatorcontrib>Pivovaroff, Alexandria</creatorcontrib><creatorcontrib>Fletcher, Leila R.</creatorcontrib><creatorcontrib>John, Grace P.</creatorcontrib><creatorcontrib>Lutz, James A.</creatorcontrib><creatorcontrib>Méndez Alonzo, Rodrigo</creatorcontrib><creatorcontrib>Sack, Lawren</creatorcontrib><collection>Wiley-Blackwell Open Access Titles(OpenAccess)</collection><collection>Wiley Online Library website</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Functional ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Medeiros, Camila D.</au><au>Henry, Christian</au><au>Trueba, Santiago</au><au>Anghel, Ioana</au><au>Guerrero, Samantha Dannet Diaz de Leon</au><au>Pivovaroff, Alexandria</au><au>Fletcher, Leila R.</au><au>John, Grace P.</au><au>Lutz, James A.</au><au>Méndez Alonzo, Rodrigo</au><au>Sack, Lawren</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting plant species climate niches on the basis of mechanistic traits</atitle><jtitle>Functional ecology</jtitle><date>2023-11</date><risdate>2023</risdate><volume>37</volume><issue>11</issue><spage>2786</spage><epage>2808</epage><pages>2786-2808</pages><issn>0269-8463</issn><eissn>1365-2435</eissn><abstract>Improved estimation of climate niches is critical, given climate change. Plant adaptation to climate depends on their physiological traits and their distributions, yet traits are rarely used to inform the estimation of species climate niches, and the power of a trait‐based approach has been controversial, given the many ecological factors and methodological issues that may result in decoupling of species' traits from their native climate.
For 107 species across six ecosystems of California, we tested the hypothesis that mechanistic leaf and wood traits can robustly predict the mean of diverse species' climate distributions, when combining methodological improvements from previous studies, including standard trait measurements and sampling plants growing together at few sites. Further, we introduce an approach to quantify species' trait‐climate mismatch.
We demonstrate a strong power to predict species mean climate from traits. As hypothesized, the prediction of species mean climate is stronger (and mismatch lower) when traits are sampled for individuals closer to species' mean climates.
Improved resolution of species' climate niches based on mechanistic traits can importantly inform conservation of vulnerable species under the threat of climatic shifts in upcoming decades.
Read the free Plain Language Summary for this article on the Journal blog.
Resumen
Mejorar la estimación de los nichos climáticos es fundamental debido al cambio climático. La adaptación de las plantas al clima depende de sus atributos fisiológicos y sus distribuciones, sin embargo, los atributos funcionales rara vez son empleados para informar sobre la estimación de los nichos climáticos de las especies y la relevancia del enfoque basado en los atributos ha sido controversial debido a los múltiples factores ecológicos y problemas metodológicos que pueden resultar en el desacoplamiento de los atributos de las especies respecto a su clima nativo.
Para 107 especies a través de seis ecosistemas de California, probamos la hipótesis de que los atributos mecanicistas de hojas y madera pueden predecir con robustez la media de las distribuciones climáticas de este conjunto diverso de especies, al combinar mejoras en la metodología de estudios previos, incluyendo mediciones estandarizadas de los atributos y la colecta de plantas coexistentes en pocos lugares. Además, introducimos un enfoque para cuantificar el desajuste entre el clima y los atributos de las especies.
Demostramos que los atributos predicen fuertemente el clima medio de las especies. Conforme nuestra hipótesis, la predicción del clima medio de las especies es más precisa (y el desajuste menor) cuando los atributos se recolectan en individuos más cercanos a su clima medio.
La resolución mejorada de los nichos climáticos de las especies basadas en los atributos mecanicistas es muy importante para informar sobre la conservación de especies vulnerables a la amenaza de los cambios climáticos de las próximas décadas.
Read the free Plain Language Summary for this article on the Journal blog.</abstract><cop>London</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/1365-2435.14422</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0002-0282-2329</orcidid><orcidid>https://orcid.org/0000-0003-4805-8212</orcidid><orcidid>https://orcid.org/0000-0002-7009-7202</orcidid><orcidid>https://orcid.org/0000-0002-2560-0710</orcidid><orcidid>https://orcid.org/0000-0002-1454-8718</orcidid><orcidid>https://orcid.org/0000-0002-5822-5603</orcidid><orcidid>https://orcid.org/0000-0002-2380-041X</orcidid><orcidid>https://orcid.org/0000-0002-3104-1900</orcidid><orcidid>https://orcid.org/0000-0002-8045-5982</orcidid><orcidid>https://orcid.org/0000-0001-8218-957X</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0269-8463 |
ispartof | Functional ecology, 2023-11, Vol.37 (11), p.2786-2808 |
issn | 0269-8463 1365-2435 |
language | eng |
recordid | cdi_hal_primary_oai_HAL_hal_04396661v1 |
source | Wiley Online Library (Online service) |
subjects | Climate adaptation Climate change Climate prediction climatic niche Decoupling Ecological effects ecophysiology Environmental Sciences functional traits Indigenous species intraspecific variation Niches plant climate distributions Plant species Plants (botany) Species diversity Threatened species trait multifunctionality trait‐climate mismatch Wildlife conservation |
title | Predicting plant species climate niches on the basis of mechanistic traits |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T08%3A55%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Predicting%20plant%20species%20climate%20niches%20on%20the%20basis%20of%20mechanistic%20traits&rft.jtitle=Functional%20ecology&rft.au=Medeiros,%20Camila%20D.&rft.date=2023-11&rft.volume=37&rft.issue=11&rft.spage=2786&rft.epage=2808&rft.pages=2786-2808&rft.issn=0269-8463&rft.eissn=1365-2435&rft_id=info:doi/10.1111/1365-2435.14422&rft_dat=%3Cproquest_hal_p%3E2886830762%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2886830762&rft_id=info:pmid/&rfr_iscdi=true |