Universidad Complutense de Madrid
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Predicting soil micro-variables and the distribution of an endogeic earthworm species through a model based on large-scale variables

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Fernández Marchán, Daniel y Refoyo Román, Pablo y Novo Rodríguez, Marta y Fernández García, Rosa Mª y Trigo Aza, María Dolores y Díaz Cosín, Darío J. (2015) Predicting soil micro-variables and the distribution of an endogeic earthworm species through a model based on large-scale variables. Soil Biology and Biochemistry, 81 . pp. 124-127. ISSN 0038-0717

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URL Oficial: http://www.sciencedirect.com/science/article/pii/S0038071714003708



Resumen

Studies on spatial patterns of distributions of soil dwelling animals have usually relied on soil micro-variables or statistical analyses based on presence/absence data. Geographic Information Systems (GIS) allow easy access to large-scale variables to build species distribution models. In this study, we used MaxEnt to model the distribution of the endogeic earthworm Hormogaster elisae. Significant differences were found between the predicted suitability values of localities where the species was present and those where it was absent, validating the predictive model. Most of the large-scale training variables showed significant correlation with soil micro-variables known to influence the biology of the species, proving the ability of the model to predict (to an extent) soil variables from environmental ones. The methodology could be extended to other soil fauna.


Tipo de documento:Artículo
Palabras clave:Species distribution model; MaxEnt; Hormogaster elisae; Hormogastridae
Materias:Ciencias Biomédicas > Biología > Edafología
Ciencias Biomédicas > Biología > Invertebrados
Código ID:42017
Depositado:30 Mar 2017 11:11
Última Modificación:26 Abr 2018 11:41

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