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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 and Refoyo Román, Pablo and Novo Rodríguez, Marta and Fernández García, Rosa Mª and Trigo Aza, María Dolores and 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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Official URL: http://www.sciencedirect.com/science/article/pii/S0038071714003708



Abstract

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.


Item Type:Article
Uncontrolled Keywords:Species distribution model; MaxEnt; Hormogaster elisae; Hormogastridae
Subjects:Medical sciences > Biology > Soil science
Medical sciences > Biology > Invertebrates
ID Code:42017
Deposited On:30 Mar 2017 11:11
Last Modified:10 Dec 2018 15:25

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