Habitat-performance relationships: finding the right metric at a given spatial scale.
The field of habitat ecology has been muddled by imprecise terminology regarding what constitutes habitat, and how importance is measured through use, selection, avoidance and other bio-statistical terminology. Added to the confusion is the idea that habitat is scale-specific. Despite these conceptual difficulties, ecologists have made advances in understanding 'how habitats are important to animals', and data from animal-borne global positioning system (GPS) units have the potential to help this clarification. Here, we propose a new conceptual framework to connect habitats with measures of animal performance itself--towards assessing habitat-performance relationship (HPR). Long-term studies will be needed to estimate consequences of habitat selection for animal performance. GPS data from wildlife can provide new approaches for studying useful correlates of performance that we review. Recent examples include merging traditional resource selection studies with information about resources used at different critical life-history events (e.g. nesting, calving, migration), uncovering habitats that facilitate movement or foraging and, ultimately, comparing resources used through different life-history strategies with those resulting in death. By integrating data from GPS receivers with other animal-borne technologies and combining those data with additional life-history information, we believe understanding the drivers of HPRs will inform animal ecology and improve conservation.
Gaillard
Jean-Michel
JM
Unité Mixte de Recherche CNRS-Université Lyon 1 N degrees 5558 Biométrie et Biologie Evolutive, Bâtiment Gregor Mendel, 43 boulevard du 11 novembre 1918, 69622 Villeurbanne Cedex, France. gaillard@biomserv.univ-lyon1.fr
Hebblewhite
Mark
M
Loison
Anne
A
Fuller
Mark
M
Powell
Roger
R
Basille
Mathieu
M
Van Moorter
Bram
B
D000818:Animals; D000835:Animals, Wild; D001522:Behavior, Animal; D017753:Ecosystem; D040362:Geographic Information Systems; D011157:Population Dynamics; D012621:Seasons