Habitat-performance relationships: finding the right metric at a given spatial scale

被引:258
作者
Gaillard, Jean-Michel [1 ]
Hebblewhite, Mark [2 ]
Loison, Anne [3 ]
Fuller, Mark [4 ]
Powell, Roger [5 ]
Basille, Mathieu [1 ,6 ,7 ]
Van Moorter, Bram [1 ]
机构
[1] Univ Lyon 1, CNRS, Unite Mixte Rech Biometrie & Biol Evolut 5558, F-69622 Villeurbanne, France
[2] Univ Montana, Coll Forestry & Conservat, Wildlife Biol Program, Missoula, MT 59812 USA
[3] Univ Savoie, CNRS, UMR 5553, Lab Ecol Alpine, F-73370 Le Bourget Du Lac, France
[4] US Geol Survey, Forest & Rangeland Ecosyst Sci Ctr, Boise, ID 83706 USA
[5] N Carolina State Univ, Dept Zool, Raleigh, NC 27695 USA
[6] Univ Laval, Ctr Etud Foret, Ste Foy, PQ G1V 0A6, Canada
[7] Univ Laval, Dept Biol, Ste Foy, PQ G1V 0A6, Canada
关键词
density dependence; fitness; global positioning system; habitat selection; individual heterogeneity; scaling; NORTHERN SPOTTED OWLS; PREDATION RISK; TRADE-OFFS; DEMOGRAPHIC PERFORMANCE; POPULATION-DYNAMICS; TEMPORAL VARIATION; ANIMAL ECOLOGY; SELECTION; FITNESS; DENSITY;
D O I
10.1098/rstb.2010.0085
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:2255 / 2265
页数:11
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