Thermal niche predictors of alpine plant species
Abstract Within the context of species distribution models, scrutiny arises from the choice of meaningful environmental predictors. Thermal conditions are not the sole driver, but are the most widely acknowledged abiotic driver of plant life within alpine ecosystems. We linked long‐term measurements...
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crwiley:10.1002/ecy.2891 2024-04-07T07:50:23+00:00 Thermal niche predictors of alpine plant species Löffler, Jörg Pape, Roland 2019 http://dx.doi.org/10.1002/ecy.2891 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fecy.2891 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.2891 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ecy.2891 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.2891 en eng Wiley http://creativecommons.org/licenses/by-nc-nd/4.0/ Ecology volume 101, issue 1 ISSN 0012-9658 1939-9170 Ecology, Evolution, Behavior and Systematics journal-article 2019 crwiley https://doi.org/10.1002/ecy.2891 2024-03-08T03:54:22Z Abstract Within the context of species distribution models, scrutiny arises from the choice of meaningful environmental predictors. Thermal conditions are not the sole driver, but are the most widely acknowledged abiotic driver of plant life within alpine ecosystems. We linked long‐term measurements of direct, plant‐relevant, near‐surface temperatures to plant species frequency. Across 47 sites located along environmental gradients within the Scandinavian mountain chain, the thermal preferences of 26 focal species of vascular plants, lichens, and bryophytes were explored. Based on partial least‐squares regression, we applied a relative importance analysis to derive inductively the thermal variables that were best related to a species’ frequency. To discover potential seasonal variability of thermal controls, analyses were both differentiated according to meteorological season and integrated across the entire year. The pronounced interspecies and temporal variability of thermal constraints revealed the thermal niches were much more nuanced and variable than they have commonly been represented. This finding challenges us to present, interrogate, and interpret data representing these thermal niches, which seems to be required in order to move beyond purely probabilistic and correlative descriptions of species’ range limits. Thus, this information will help improve predictions of species distributions in complex arctic‐alpine landscapes. Article in Journal/Newspaper Arctic Wiley Online Library Arctic Ecology 101 1 |
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Wiley Online Library |
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language |
English |
topic |
Ecology, Evolution, Behavior and Systematics |
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Ecology, Evolution, Behavior and Systematics Löffler, Jörg Pape, Roland Thermal niche predictors of alpine plant species |
topic_facet |
Ecology, Evolution, Behavior and Systematics |
description |
Abstract Within the context of species distribution models, scrutiny arises from the choice of meaningful environmental predictors. Thermal conditions are not the sole driver, but are the most widely acknowledged abiotic driver of plant life within alpine ecosystems. We linked long‐term measurements of direct, plant‐relevant, near‐surface temperatures to plant species frequency. Across 47 sites located along environmental gradients within the Scandinavian mountain chain, the thermal preferences of 26 focal species of vascular plants, lichens, and bryophytes were explored. Based on partial least‐squares regression, we applied a relative importance analysis to derive inductively the thermal variables that were best related to a species’ frequency. To discover potential seasonal variability of thermal controls, analyses were both differentiated according to meteorological season and integrated across the entire year. The pronounced interspecies and temporal variability of thermal constraints revealed the thermal niches were much more nuanced and variable than they have commonly been represented. This finding challenges us to present, interrogate, and interpret data representing these thermal niches, which seems to be required in order to move beyond purely probabilistic and correlative descriptions of species’ range limits. Thus, this information will help improve predictions of species distributions in complex arctic‐alpine landscapes. |
format |
Article in Journal/Newspaper |
author |
Löffler, Jörg Pape, Roland |
author_facet |
Löffler, Jörg Pape, Roland |
author_sort |
Löffler, Jörg |
title |
Thermal niche predictors of alpine plant species |
title_short |
Thermal niche predictors of alpine plant species |
title_full |
Thermal niche predictors of alpine plant species |
title_fullStr |
Thermal niche predictors of alpine plant species |
title_full_unstemmed |
Thermal niche predictors of alpine plant species |
title_sort |
thermal niche predictors of alpine plant species |
publisher |
Wiley |
publishDate |
2019 |
url |
http://dx.doi.org/10.1002/ecy.2891 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fecy.2891 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.2891 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/ecy.2891 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/ecy.2891 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Ecology volume 101, issue 1 ISSN 0012-9658 1939-9170 |
op_rights |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_doi |
https://doi.org/10.1002/ecy.2891 |
container_title |
Ecology |
container_volume |
101 |
container_issue |
1 |
_version_ |
1795665096712650752 |