Can habitat selection predict abundance?

被引:114
作者
Boyce, Mark S. [1 ]
Johnson, Chris J. [2 ]
Merrill, Evelyn H. [1 ]
Nielsen, Scott E. [3 ]
Solberg, Erling J. [4 ]
van Moorter, Bram [4 ]
机构
[1] Univ Alberta, Dept Biol Sci, Edmonton, AB T6G 2E9, Canada
[2] Univ British Columbia, Ecosyst Sci & Management Program, Prince George, BC V2N 4Z9, Canada
[3] Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2H1, Canada
[4] Norwegian Inst Nat Res NINA, N-7485 Trondheim, Norway
基金
加拿大自然科学与工程研究理事会;
关键词
animal movement; occupancy; population estimation; population size; presence-only data; resource selection functions; PRESENCE-ONLY DATA; LIFETIME REPRODUCTIVE SUCCESS; RESOURCE SELECTION; PRESENCE-ABSENCE; SPATIAL-DISTRIBUTION; MOVEMENT PATTERNS; ANIMAL MOVEMENT; PREDATION RISK; GRIZZLY BEARS; HOME-RANGE;
D O I
10.1111/1365-2656.12359
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Habitats have substantial influence on the distribution and abundance of animals. Animals' selective movement yields their habitat use. Animals generally are more abundant in habitats that are selected most strongly. Models of habitat selection can be used to distribute animals on the landscape or their distribution can be modelled based on data of habitat use, occupancy, intensity of use or counts of animals. When the population is at carrying capacity or in an ideal-free distribution, habitat selection and related metrics of habitat use can be used to estimate abundance. If the population is not at equilibrium, models have the flexibility to incorporate density into models of habitat selection; but abundance might be influenced by factors influencing fitness that are not directly related to habitat thereby compromising the use of habitat-based models for predicting population size. Scale and domain of the sampling frame, both in time and space, are crucial considerations limiting application of these models. Ultimately, identifying reliable models for predicting abundance from habitat data requires an understanding of the mechanisms underlying population regulation and limitation.
引用
收藏
页码:11 / 20
页数:10
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