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DIGITAL.CSIC
Dataset . 2022 . Peer-reviewed
Data sources: DIGITAL.CSIC
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ZENODO
Dataset . 2017
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2017
License: CC 0
Data sources: Datacite
DRYAD
Dataset . 2017
License: CC 0
Data sources: Datacite
DRYAD
Dataset . 2017
License: CC 0
Data sources: Datacite
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Data from: Evolvability meets biogeography: evolutionary potential decreases at high and low environmental favourability

Authors: Martinez-Padilla, Jesús; Estrada, Alba; Early, Regan; García-González, Francisco;

Data from: Evolvability meets biogeography: evolutionary potential decreases at high and low environmental favourability

Abstract

Understanding and forecasting the effects of environmental change on wild populations requires knowledge on a critical question: do populations have the ability to evolve in response to that change? However, our knowledge on how evolution works in wild conditions under different environmental circumstances is extremely limited. We investigated how environmental variation influences the evolutionary potential of phenotypic traits. We used published data to collect or calculate 135 estimates of evolvability of morphological traits of European wild bird populations. We characterized the environmental favourability of each population throughout the species' breeding distribution. Our results suggest that the evolutionary potential of morphological traits decreases as environmental favourability becomes high or low. Strong environmental selection pressures and high intra-specific competition may reduce species' evolutionary potential in low- and high- favourability areas, respectively. This suggests that species may be least able to adapt to new climate conditions at their range margins and at the centre. Our results underscore the need to consider the evolutionary potential of populations when studying the drivers of species distributions, particularly when predicting the effects of environmental change. We discuss the utility of integrating evolutionary dynamics into a biogeographical perspective to understand how environmental variation shapes evolutionary patterns. This approach would also produce more reliable predictions about the effect of environmental change on population persistence and therefore on biodiversity.

Data from: Evolvability meets biogeography: evolutionary potential decreases at high and low environmental favourability Fav_CVa_wildbirds.xlsx Data from: Evolvability meets biogeography: evolutionary potential decreases at high and low environmental favourability Fav_Ia_wildbirds.xlsx Species distribution and environmental variables Here we provide the environmental variables used to construct the SDM for each species. Description of the variables are given in the ESM of the paper Sps_environmental_variables.csv

Peer reviewed

Country
Spain
Keywords

Europe, wild populations, Wild populations

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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