A maximum entropy model for predicting wild boar distribution in Spain

Jaime Bosch, Fernando Mardones, Andrés Pérez, Ana De la Torre, María Jesús Muñoz

Resultado de la investigación: Article

8 Citas (Scopus)

Resumen

Wild boar (Sus scrofa) populations in many areas of the Palearctic including the Iberian Peninsula have grown continuously over the last century. This increase has led to numerous different types of conflicts due to the damage these mammals can cause to agriculture, the problems they create in the conservation of natural areas, and the threat they pose to animal health. In the context of both wildlife management and the design of health programs for disease control, it is essential to know how wild boar are distributed on a large spatial scale. Given that the quantifying of the distribution of wild species using census techniques is virtually impossible in the case of large-scale studies, modeling techniques have thus to be used instead to estimate animals’ distributions, densities, and abundances. In this study, the potential distribution of wild boar in Spain was predicted by integrating data of presence and environmental variables into a MaxEnt approach. We built and tested models using 100 bootstrapped replicates. For each replicate or simulation, presence data was divided into two subsets that were used for model fitting (60% of the data) and cross-validation (40% of the data). The final model was found to be accurate with an area under the receiver operating characteristic curve (AUC) value of 0.79. Six explanatory variables for predicting wild boar distribution were identified on the basis of the percentage of their contribution to the model. The model exhibited a high degree of predictive accuracy, which has been confirmed by its agreement with satellite images and field surveys.

Idioma originalEnglish
Páginas (desde-hasta)984-999
Número de páginas16
PublicaciónSpanish Journal of Agricultural Research
Volumen12
N.º4
DOI
EstadoPublished - 1 ene 2014

Huella dactilar

wild boars
entropy
Spain
disease control programs
Sus scrofa
wildlife management
Iberian Peninsula
animal health
mammals
agriculture
environmental factors
methodology
animals

ASJC Scopus subject areas

  • Agronomy and Crop Science

Citar esto

Bosch, Jaime ; Mardones, Fernando ; Pérez, Andrés ; De la Torre, Ana ; Muñoz, María Jesús. / A maximum entropy model for predicting wild boar distribution in Spain. En: Spanish Journal of Agricultural Research. 2014 ; Vol. 12, N.º 4. pp. 984-999.
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abstract = "Wild boar (Sus scrofa) populations in many areas of the Palearctic including the Iberian Peninsula have grown continuously over the last century. This increase has led to numerous different types of conflicts due to the damage these mammals can cause to agriculture, the problems they create in the conservation of natural areas, and the threat they pose to animal health. In the context of both wildlife management and the design of health programs for disease control, it is essential to know how wild boar are distributed on a large spatial scale. Given that the quantifying of the distribution of wild species using census techniques is virtually impossible in the case of large-scale studies, modeling techniques have thus to be used instead to estimate animals’ distributions, densities, and abundances. In this study, the potential distribution of wild boar in Spain was predicted by integrating data of presence and environmental variables into a MaxEnt approach. We built and tested models using 100 bootstrapped replicates. For each replicate or simulation, presence data was divided into two subsets that were used for model fitting (60{\%} of the data) and cross-validation (40{\%} of the data). The final model was found to be accurate with an area under the receiver operating characteristic curve (AUC) value of 0.79. Six explanatory variables for predicting wild boar distribution were identified on the basis of the percentage of their contribution to the model. The model exhibited a high degree of predictive accuracy, which has been confirmed by its agreement with satellite images and field surveys.",
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Bosch, J, Mardones, F, Pérez, A, De la Torre, A & Muñoz, MJ 2014, 'A maximum entropy model for predicting wild boar distribution in Spain', Spanish Journal of Agricultural Research, vol. 12, n.º 4, pp. 984-999. https://doi.org/10.5424/sjar/2014124-5717

A maximum entropy model for predicting wild boar distribution in Spain. / Bosch, Jaime; Mardones, Fernando; Pérez, Andrés; De la Torre, Ana; Muñoz, María Jesús.

En: Spanish Journal of Agricultural Research, Vol. 12, N.º 4, 01.01.2014, p. 984-999.

Resultado de la investigación: Article

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AU - Bosch, Jaime

AU - Mardones, Fernando

AU - Pérez, Andrés

AU - De la Torre, Ana

AU - Muñoz, María Jesús

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