NDLI: Relationship between resource selection, distribution, and abundance: a test with implications to theory and conservation

Content Provider	Springer Nature Link
Author	Johnson, Chris J. Seip, Dale R.
Copyright Year	2008
Abstract	Much of applied and theoretical ecology is concerned with the interactions of habitat quality, animal distribution, and population abundance. We tested a technique that uses resource selection functions (RSF) to scale animal density to the relative probability of selecting a patch of habitat. Following an accurate survey of a reference block, the habitat-based density estimator can be used to predict population abundance for other areas with no or unreliable survey data. We parameterized and tested the technique using multiple years of radiotelemetry locations and survey data collected for woodland caribou across four landscape-level survey blocks. The habitat-based density estimator performed poorly. Predictions were no better than those of a simple area estimator and in some cases deviated from the observed by a factor of 10. We developed a simulation model to investigate factors that might influence prediction success. We experimentally manipulated population density, caribou distribution, ability of animals to track carrying capacity, and precision of the estimation equation. Our simulations suggested that interactions between population density, the size of the reference block, and the pattern of distribution can lead to large discrepancies between observed and predicted population numbers. Over- or undermatching patch carrying capacity and precision of the estimator can influence predictions, but the effect is much less extreme. Although there is some empirical and theoretical evidence to support a relationship between animal abundance and resource selection, our study suggests that a number of factors can seriously confound these relationships. Habitat-based density estimators might be effective where a stable, isolated population at equilibrium is used to generate predictions for areas with similar population parameters and ecological conditions.
Starting Page	145
Ending Page	157
Page Count	13
File Format	PDF
ISSN	14383896
Journal	Population Ecology
Volume Number	50
Issue Number	2
e-ISSN	1438390X
Language	English
Publisher	Springer Japan
Publisher Date	2008-02-27
Publisher Place	Japan
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Caribou Estimation Habitat Population Resource selection function Forestry Behavioural Sciences Evolutionary Biology Plant Sciences Zoology Ecology
Content Type	Text
Resource Type	Article
Subject	Ecology, Evolution, Behavior and Systematics

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