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| Jabot, Franck; Giraldo, Carolina; Lefebvre, Sebastien; Dubois, Stanislas. |
| Isotopic analyses are increasingly used to assess the structure of food webs and a series of isotopic functional indices have been proposed in the last decade to characterize this structure. These indices are based on the foundational assumption that proximity in the isotopic space informs on trophic similarity between species. While it has been recognized for long that this simplifying assumption should be used with caution, no formal evaluation of its domain of validity has been performed to date. We here simulate a large number (15,000) of food webs with varying characteristics to assess i) whether isotopic distance is a good proxy of trophic dissimilarity; ii) whether isotopic functional indices are good proxies of trophic functional properties; and... |
| Tipo: Text |
Palavras-chave: Connectance; Isotopic functional indices; Niche model; Omnivory; Virtual ecology. |
| Ano: 2017 |
URL: http://archimer.ifremer.fr/doc/00385/49596/50110.pdf |
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| Coscarelli,Daniel; Montresor,Lângia C.; Russo,Philip; Melo,Alan Lane de; Vidigal,Teofânia H.D.A.. |
| Abstract Accurate distributional information is crucial for studies on systematics, biodiversity and conservation. To improve the knowledge regarding the geographical distribution of Omalonyx in South America, we present updated information based on data from a literature review, institutional collections and malacological surveys. All this information composed the dataset used to predict species distribution employing the Maximum Entropy Algorithm (MaxEnt). The model was run using data on species distribution, altitude and bioclimatic variables (WorldClim database). The model had consistent performance, and areas presenting similar conditions to areas where the species were recorded were considered areas of occurrence. The predicted occurrence areas... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: MaxEnt; Niche model; Species distribution; Modeling; Succineids; Neotropic. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032018000100209 |
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