Environmental suitability models predict population density, performance and body condition for microendemic salamanders
Abstract Species can show strong variation of local abundance across their ranges. Recent analyses suggested that variation in abundance can be related to environmental suitability, as the highest abundances are often observed in populations living in the most suitable areas. However, there is limit...
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Nature Portfolio
2018
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oai:doaj.org-article:5c0254e86a004d62a2b96cadf2553aef2021-12-02T12:33:01ZEnvironmental suitability models predict population density, performance and body condition for microendemic salamanders10.1038/s41598-018-25704-12045-2322https://doaj.org/article/5c0254e86a004d62a2b96cadf2553aef2018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25704-1https://doaj.org/toc/2045-2322Abstract Species can show strong variation of local abundance across their ranges. Recent analyses suggested that variation in abundance can be related to environmental suitability, as the highest abundances are often observed in populations living in the most suitable areas. However, there is limited information on the mechanisms through which variation in environmental suitability determines abundance. We analysed populations of the microendemic salamander Hydromantes flavus, and tested several hypotheses on potential relationships linking environmental suitability to population parameters. For multiple populations across the whole species range, we assessed suitability using species distribution models, and measured density, activity level, food intake and body condition index. In high-suitability sites, the density of salamanders was up to 30-times higher than in the least suitable ones. Variation in activity levels and population performance can explain such variation of abundance. In high-suitability sites, salamanders were active close to the surface, and showed a low frequency of empty stomachs. Furthermore, when taking into account seasonal variation, body condition was better in the most suitable sites. Our results show that the strong relationship between environmental suitability and population abundance can be mediated by the variation of parameters strongly linked to individual performance and fitness.Enrico LunghiRaoul ManentiManuela MulargiaMichael VeithClaudia CortiGentile Francesco FicetolaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-11 (2018) |
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Medicine R Science Q Enrico Lunghi Raoul Manenti Manuela Mulargia Michael Veith Claudia Corti Gentile Francesco Ficetola Environmental suitability models predict population density, performance and body condition for microendemic salamanders |
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Abstract Species can show strong variation of local abundance across their ranges. Recent analyses suggested that variation in abundance can be related to environmental suitability, as the highest abundances are often observed in populations living in the most suitable areas. However, there is limited information on the mechanisms through which variation in environmental suitability determines abundance. We analysed populations of the microendemic salamander Hydromantes flavus, and tested several hypotheses on potential relationships linking environmental suitability to population parameters. For multiple populations across the whole species range, we assessed suitability using species distribution models, and measured density, activity level, food intake and body condition index. In high-suitability sites, the density of salamanders was up to 30-times higher than in the least suitable ones. Variation in activity levels and population performance can explain such variation of abundance. In high-suitability sites, salamanders were active close to the surface, and showed a low frequency of empty stomachs. Furthermore, when taking into account seasonal variation, body condition was better in the most suitable sites. Our results show that the strong relationship between environmental suitability and population abundance can be mediated by the variation of parameters strongly linked to individual performance and fitness. |
format |
article |
author |
Enrico Lunghi Raoul Manenti Manuela Mulargia Michael Veith Claudia Corti Gentile Francesco Ficetola |
author_facet |
Enrico Lunghi Raoul Manenti Manuela Mulargia Michael Veith Claudia Corti Gentile Francesco Ficetola |
author_sort |
Enrico Lunghi |
title |
Environmental suitability models predict population density, performance and body condition for microendemic salamanders |
title_short |
Environmental suitability models predict population density, performance and body condition for microendemic salamanders |
title_full |
Environmental suitability models predict population density, performance and body condition for microendemic salamanders |
title_fullStr |
Environmental suitability models predict population density, performance and body condition for microendemic salamanders |
title_full_unstemmed |
Environmental suitability models predict population density, performance and body condition for microendemic salamanders |
title_sort |
environmental suitability models predict population density, performance and body condition for microendemic salamanders |
publisher |
Nature Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/5c0254e86a004d62a2b96cadf2553aef |
work_keys_str_mv |
AT enricolunghi environmentalsuitabilitymodelspredictpopulationdensityperformanceandbodyconditionformicroendemicsalamanders AT raoulmanenti environmentalsuitabilitymodelspredictpopulationdensityperformanceandbodyconditionformicroendemicsalamanders AT manuelamulargia environmentalsuitabilitymodelspredictpopulationdensityperformanceandbodyconditionformicroendemicsalamanders AT michaelveith environmentalsuitabilitymodelspredictpopulationdensityperformanceandbodyconditionformicroendemicsalamanders AT claudiacorti environmentalsuitabilitymodelspredictpopulationdensityperformanceandbodyconditionformicroendemicsalamanders AT gentilefrancescoficetola environmentalsuitabilitymodelspredictpopulationdensityperformanceandbodyconditionformicroendemicsalamanders |
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1718393860383571968 |