Statistical Modelling of Habitat Selection

Aldossari, S., Matthiopoulos, J. and Husmeier, D. (2020) Statistical Modelling of Habitat Selection. In: Irigoien, I., Lee, D.-J., Martínez-Minaya, J. and Rodríguez-Álvarez, M. X. (eds.) Proceedings of the 35th International Workshop on Statistical Modelling. Servicio Editorial de la Universidad del País Vasco: Bilbao, Spain, pp. 275-279. ISBN 9788413192673

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Abstract

To understand the impact of habitat destruction or modification on biodiversity there is increasing demand on predictive models that reliably forecast future changes in species distributions. In the present paper, we build on an existing model, the Generalized Functional Response, whose predictions about habitat preferences and species distribution are robust to changes in habitat availability. We improve upon this model in two distinct ways by using Gaussian mixtures to approximate habitat availability and Gaussian basis functions to describe habitat preferences. The proposed model is found to improve descriptive and predictive performance when applied to realistic simulated data and real species abundance data.

Item Type:Book Sections
Keywords:Biodiversity, habitat selection function, basis functions, Gaussian mixture model.
Status:Published
Glasgow Author(s) Enlighten ID:Matthiopoulos, Professor Jason and Husmeier, Professor Dirk and Aldossari, Shaykhah
Authors: Aldossari, S., Matthiopoulos, J., and Husmeier, D.
College/School:College of Science and Engineering > School of Mathematics and Statistics > Statistics
College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
Publisher:Servicio Editorial de la Universidad del País Vasco
ISBN:9788413192673
Copyright Holders:Copyright © 2020 Servicio Editorial de la Universidad del País Vasco Euskal Herriko Unibertsitateko Argitalpen Zerbitzua
First Published:First published in Proceedings of the 35th International Workshop on Statistical Modelling. Volume 2: 275-279
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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