The scale of effect depends on operational definition of forest cover—evidence from terrestrial mammals of the Brazilian savanna

Autor: Fabio de Oliveira Roque, Clément Harmange, Olivier Pays, Pierre-Cyril Renaud, Hervé Fritz, Jean Paul Metzger, Beatriz Bellón, Damien Arvor, Jeffrey D. Holland, Isabel Melo, Franco L. Souza, Christophe Amiot, Cyntia Cavalcante Santos
Přispěvatelé: Littoral, Environnement, Télédétection, Géomatique (LETG-Angers), Littoral, Environnement, Télédétection, Géomatique UMR 6554 (LETG), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Université de Nantes (UN)-Université de Nantes (UN)-Université de Caen Normandie (UNICAEN), Université de Nantes (UN)-Université de Nantes (UN), Reconciling Ecological and Human Adaptations for Biosphere Sustainability (REHABS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Nelson Mandela University [Port Elizabeth], Universidade Federal de Mato Grosso do Sul (UFMS), Littoral, Environnement, Télédétection, Géomatique (LETG - Rennes), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Purdue University [West Lafayette], Universidade de São Paulo = University of São Paulo (USP), Biodiversité dans l’Anthropocène - Dynamique, Fonction & Gestion (BIODIVAG), Université d'Angers (UA), Normandie Université (NU)-Normandie Université (NU)-Université d'Angers (UA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Brest (UBO)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Géographie et d'Aménagement Régional de l'Université de Nantes (IGARUN), Reconciling Ecological and Human Adaptations for a Biosphere-based Sustainability (REHABS), Centre National de la Recherche Scientifique (CNRS)-Nelson Mandela Metropolitan University [Port Elizabeth, South Africa], Universidade de São Paulo (USP)
Rok vydání: 2021
Předmět:
Zdroj: Landscape Ecology
Landscape Ecology, 2021, 36 (4), pp.973-987. ⟨10.1007/s10980-021-01196-9⟩
Landscape Ecology, Springer Verlag, 2021, 36 (4), pp.973-987. ⟨10.1007/s10980-021-01196-9⟩
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
ISSN: 1572-9761
0921-2973
Popis: International audience; Context: Determining the appropriate scale at which to study species’ interactions with their environment is a great challenge.Objective: We investigated the spatial extent at which landscape structure affects the occurrence of four species of terrestrial mammalian herbivores in the Brazilian savannas and examined whether those scales could be explained by species ecological traits and how forest habitat was operationally defined.Methods: Using maps of forest cover, camera trapping and occupancy modelling, we determined the relations between three landscape metrics (percentage of forest cover, patch density and edge density) and the occurrence of four species. To determine the optimal scale of effect for each species, we computed landscape metrics at different spatial extents (from 0.5 to 10 km radius) from camera trap locations and for three forest maps, each using different operational definitions of a forest pixel: minimum of tree cover of 25, 50 or 75%.Results: The occupancy models revealed scales of effect of 0.5 to 2 km with the scale of effect being similar among three of the species. However, the probability of a scale of effect being detected depended upon how forest is operationally defined, being greater when forest was defined with greater tree cover, particularly for forest-specialist species.Conclusions: Besides biological traits, the way habitat is operationally defined shapes our ability to detect the scale of effects. Thus, it is necessary not to adopt a multi-scale approach, but also to use multiple operational definitions of habitat, considering particularities of how each species interact with their environment.
Databáze: OpenAIRE
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