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Large Scale Relationship between Aquatic Insect Traits and Climate

Climate is the predominant environmental driver of freshwater assemblage pattern on large spatial scales, and traits of freshwater organisms have shown considerable potential to identify impacts of climate change. Although several studies suggest traits that may indicate vulnerability to climate cha...

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Autores principales: Bhowmik, Avit Kumar, Schäfer, Ralf B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469582/
https://www.ncbi.nlm.nih.gov/pubmed/26080074
http://dx.doi.org/10.1371/journal.pone.0130025
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author Bhowmik, Avit Kumar
Schäfer, Ralf B.
author_facet Bhowmik, Avit Kumar
Schäfer, Ralf B.
author_sort Bhowmik, Avit Kumar
collection PubMed
description Climate is the predominant environmental driver of freshwater assemblage pattern on large spatial scales, and traits of freshwater organisms have shown considerable potential to identify impacts of climate change. Although several studies suggest traits that may indicate vulnerability to climate change, the empirical relationship between freshwater assemblage trait composition and climate has been rarely examined on large scales. We compared the responses of the assumed climate-associated traits from six grouping features to 35 bioclimatic indices (~18 km resolution) for five insect orders (Diptera, Ephemeroptera, Odonata, Plecoptera and Trichoptera), evaluated their potential for changing distribution pattern under future climate change and identified the most influential bioclimatic indices. The data comprised 782 species and 395 genera sampled in 4,752 stream sites during 2006 and 2007 in Germany (~357,000 km(²) spatial extent). We quantified the variability and spatial autocorrelation in the traits and orders that are associated with the combined and individual bioclimatic indices. Traits of temperature preference grouping feature that are the products of several other underlying climate-associated traits, and the insect order Ephemeroptera exhibited the strongest response to the bioclimatic indices as well as the highest potential for changing distribution pattern. Regarding individual traits, insects in general and ephemeropterans preferring very cold temperature showed the highest response, and the insects preferring cold and trichopterans preferring moderate temperature showed the highest potential for changing distribution. We showed that the seasonal radiation and moisture are the most influential bioclimatic aspects, and thus changes in these aspects may affect the most responsive traits and orders and drive a change in their spatial distribution pattern. Our findings support the development of trait-based metrics to predict and detect climate-related changes of freshwater assemblages.
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spelling pubmed-44695822015-06-22 Large Scale Relationship between Aquatic Insect Traits and Climate Bhowmik, Avit Kumar Schäfer, Ralf B. PLoS One Research Article Climate is the predominant environmental driver of freshwater assemblage pattern on large spatial scales, and traits of freshwater organisms have shown considerable potential to identify impacts of climate change. Although several studies suggest traits that may indicate vulnerability to climate change, the empirical relationship between freshwater assemblage trait composition and climate has been rarely examined on large scales. We compared the responses of the assumed climate-associated traits from six grouping features to 35 bioclimatic indices (~18 km resolution) for five insect orders (Diptera, Ephemeroptera, Odonata, Plecoptera and Trichoptera), evaluated their potential for changing distribution pattern under future climate change and identified the most influential bioclimatic indices. The data comprised 782 species and 395 genera sampled in 4,752 stream sites during 2006 and 2007 in Germany (~357,000 km(²) spatial extent). We quantified the variability and spatial autocorrelation in the traits and orders that are associated with the combined and individual bioclimatic indices. Traits of temperature preference grouping feature that are the products of several other underlying climate-associated traits, and the insect order Ephemeroptera exhibited the strongest response to the bioclimatic indices as well as the highest potential for changing distribution pattern. Regarding individual traits, insects in general and ephemeropterans preferring very cold temperature showed the highest response, and the insects preferring cold and trichopterans preferring moderate temperature showed the highest potential for changing distribution. We showed that the seasonal radiation and moisture are the most influential bioclimatic aspects, and thus changes in these aspects may affect the most responsive traits and orders and drive a change in their spatial distribution pattern. Our findings support the development of trait-based metrics to predict and detect climate-related changes of freshwater assemblages. Public Library of Science 2015-06-16 /pmc/articles/PMC4469582/ /pubmed/26080074 http://dx.doi.org/10.1371/journal.pone.0130025 Text en © 2015 Bhowmik, Schäfer http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Bhowmik, Avit Kumar
Schäfer, Ralf B.
Large Scale Relationship between Aquatic Insect Traits and Climate
title Large Scale Relationship between Aquatic Insect Traits and Climate
title_full Large Scale Relationship between Aquatic Insect Traits and Climate
title_fullStr Large Scale Relationship between Aquatic Insect Traits and Climate
title_full_unstemmed Large Scale Relationship between Aquatic Insect Traits and Climate
title_short Large Scale Relationship between Aquatic Insect Traits and Climate
title_sort large scale relationship between aquatic insect traits and climate
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4469582/
https://www.ncbi.nlm.nih.gov/pubmed/26080074
http://dx.doi.org/10.1371/journal.pone.0130025
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