A multi-scale looping approach to predict spatially dynamic patterns of functional species richness in changing landscapes

Details

Ressource 1Request a copyDownload: BIB_D1BDD926F1A1.P001.pdf (3042.79 [Ko])
State: Deleted
Version: author
Serval ID
serval:BIB_D1BDD926F1A1
Type
Article: article from journal or magazin.
Collection
Publications
Title
A multi-scale looping approach to predict spatially dynamic patterns of functional species richness in changing landscapes
Journal
Ecological Indicators
Author(s)
Bastos R., D'Amen M., Vicente J., Santos M., Yu H., Eitelberg D., Gonçalves J., Civantos E., Honrado J., Cabral J.A.
ISSN
1872-7034
ISSN-L
1470-160X
Publication state
Published
Issued date
05/2016
Peer-reviewed
Oui
Volume
64
Pages
92-104
Language
english
Abstract
Land-use/land-cover (LU/LC) change is one of the main drivers of global biodiversity change. However, the lack of detailed data on species' local distributions is frequently a major constraint to identify effective indicators of impact and to prescribe effective conservation and management measures. Here we aim to describe and demonstrate the applicability of a novel looping approach to predict spatially dynamic ecological responses to LU/LC changes. The methodology integrates statistical downscaling, multi-model inference, stochastic-dynamic modelling and simulations, and spatial projections under a common and interactive framework. We illustrate the approach with a study of passerine foraging groups and their potential indicator role under LU/LC change scenarios. Based on the coarse occurrence data from published atlases, this approach allowed transposing species richness to fine resolutions in order to assess regional ecological integrity by up scaling the local responses of those indicators again at the landscape level. Overall, our proposed framework was able to provide realistic patterns of passerine foraging responses to LU/LC changes, highlighting the usefulness of existing databases for model-based research in addressing complex emergent problems across scales. Comparative analysis between simulations and independent field data showed a promising model performance, with consistent projections of the local passerine functional composition for a significant number of point-counts tested. Our approach represents a contribution for more universal applications in the scope of conservation and landscape planning, especially when fine resolution data is difficult to obtain due to resources constraints. (C) 2015 Elsevier Ltd. All rights reserved.
Keywords
Atlas databases, Downscaling, Land use/land cover change scenarios, Multi-scale modelling framework, Passerine functional groups, Stochastic Dynamic Methodology
Web of science
Create date
08/01/2016 19:28
Last modification date
20/08/2019 16:51
Usage data