RT Journal Article
T1 Predicting soil micro-variables and the distribution of an endogeic earthworm species through a model based on large-scale variables
A1 Fernández Marchán, Daniel
A1 Refoyo Román, Pablo
A1 Novo Rodríguez, Marta
A1 Fernández García, Rosa Mª
A1 Trigo Aza, María Dolores
A1 Díaz Cosín, Darío J.
AB 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.
PB Elsevier
SN 0038-0717
YR 2015
FD 2015-02
LK https://hdl.handle.net/20.500.14352/23233
UL https://hdl.handle.net/20.500.14352/23233
LA eng
NO Ministerio de Economía y Competitividad (MINECO)
NO Fundación Ramón Areces (Madrid)
NO Marie Curie Fellowship
DS Docta Complutense
RD 18 abr 2025