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...

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Veröffentlicht in:Functional ecology 2023-11, Vol.37 (11), p.2786-2808
Hauptverfasser: 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
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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
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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. 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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. 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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. 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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
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