Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Lithologic data improve plant species distribution models based on coarse-grained occurrence data
Year:2009
Research Areas
  • Ecology
Information
Abstract
The aim of this study was to assess the improvement of plant species distribution models based on coarse-grained occurrence data when adding lithologic data to climatic models. The distributions of 40 woody plant species from continental Spain were modelled. A logistic regression model with climatic predictors was fitted for each species and compared to a second model with climatic and lithologic predictors. Improvements on model likelihood and prediction accuracy on validation subsamples were assessed, as well as the effect of calcicole¿calcifuge habit on model improvement. Climatic models had reasonable mean prediction accuracy, but adding lithologic data improved model likelihood in most cases and increased mean prediction accuracy. Therefore, we recommend utilizing lithologic data for species distribution models based on coarse-grained occurrence data. Our data did not support the hypothesis that calcicole¿calcifuge habit may explain model improvement when adding lithologic data to climatic models, but further research is needed.
International
Si
JCR
No
Title
Investigación Agraria: Sistemas y Recursos Forestales
ISBN
2171-5068
Impact factor JCR
0
Impact info
Volume
18
Journal number
1
From page
42
To page
49
Month
ENERO
Ranking
Participants
  • Autor: Aitor Gaston Gonzalez (UPM)
  • Autor: Carlos Soriano Martin (UPM)
  • Autor: Vicente Daniel Gomez Miguel (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ecología y Gestión Forestal Sostenible
  • Departamento: Producción Vegetal: Botánica y Protección Vegetal
  • Grupo de Investigación: Calidad de Suelos y Aplicaciones medioambientales
  • Departamento: Edafología
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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