Hierarchical species distribution models in support of vegetation conservation at the landscape scale

Détails

ID Serval
serval:BIB_2BCB73EF0255
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Hierarchical species distribution models in support of vegetation conservation at the landscape scale
Périodique
Journal of Vegetation Science
Auteur(s)
Mateo R.G., Gastón A., Aroca Fernández M.J., Broennimann O., Guisan A., Saura S., García Viñas J.I.
ISSN
1654-1103
ISSN-L
1100-9233
Statut éditorial
Publié
Date de publication
03/2019
Peer-reviewed
Oui
Volume
30
Numéro
2
Pages
386-396
Langue
anglais
Résumé
Questions Species distribution models (SDMs) based on habitat suitability and niche quantification are powerful tools in vegetation science. Recent findings suggest that they could be applied at the landscape scale as vegetation conservation tools, but that some environmental dimensions (e.g., climate) need to be considered at larger scales. What is the importance of applying hierarchical SDMs combining information from different scales to ensure consistent local vegetation management decisions? Study Site Mainland Spain and Biosphere Reserve of Sierra del Rincon (central Spain). Methods We generated SDMs for five tree species at the regional scale (mainland Spain) using climatic variables plus presence/absence data from the Spanish National Forest Inventory; and at the landscape scale (Sierra del Rincon Biosphere Reserve) using local environmental variables plus locally gathered vegetation presence/absence data. Predictions of both regional and landscape models were combined at the landscape scale following two different hierarchical approaches. The four resulting predictions were compared with correlation coefficients and independently evaluated with the AUC statistic and data collected in the study area. Results The regional SDMs depict suitable climatic conditions for the tree species, while the landscape SDMs capture important local ecological drivers that influence habitat suitability at finer scales. Expectedly, the regional SDMs predict larger suitable areas than the landscape SDMs. The predictions from the hierarchical approaches are reliable and provide on average better results than non-hierarchical ones. Conclusions SDMs can be valuable tools for local plant conservation programs. We present examples of the applicability of a hierarchical modeling approach and conceptual and methodological solutions related to the use of these tools in local vegetation conservation programs. For example, we show that landscape SDMs could be used to determine the current distribution of endangered plant species, while a hierarchical approach would be better suited to define areas to re-vegetate within a local restoration program.
Mots-clé
conservation plan, ecological drivers, ensemble modeling, environmental niche, forest management, habitat suitability, hierarchical species distribution models, plants, spatial distribution, species distribution modeling, vegetation restoration
Web of science
Création de la notice
10/01/2019 16:32
Dernière modification de la notice
20/08/2019 14:11
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