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Journal of Wildlife Management is a peer-reviewed journal published by Wiley, covering Wildlife Ecology and Conservation, Rangeland and Wildlife Management, Avian ecology and behavior.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Wildlife Management 12 (3): 45–58.
Formats any DOI in Journal of Wildlife Management style. No sign-up. |
| Publishes research in | Wildlife Ecology and Conservation Rangeland and Wildlife Management Avian ecology and behavior Ecology and biodiversity studies Animal Ecology and Behavior Studies |
| ISSN | 0022-541X |
| Citation impact (2-yr) | 1.17 |
| h-index | 232 |
| i10-index | 8,630 |
| Total citations | 542,617 |
| Article processing charge | $4,070 |
| Top institutions publishing here | United States Geological Survey |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Introduction * Information and Likelihood Theory: A Basis for Model Selection and Inference * Basic Use of the Information-Theoretic Approach * Formal Inference From More Than One Model: Multi-Model Inference (MMI) * Monte Carlo Insights and Extended Examples * Statistical Theory and Numerical Results * Summary
Abstract: As use of Akaike's Information Criterion (AIC) for model selection has become increasingly common, so has a mistake involving interpretation of models that are within 2 AIC units (ΔAIC ≤ 2) of the top‐supported model. Such models are <2 ΔAIC units because the penalty for one additional parameter is +2 AIC units, but model…
We wrote this book to introduce graduate students and research workers in various scientific disciplines to the use of information-theoretic approaches in the analysis of empirical data.In its fully developed form, the information-theoretic approach allows inference based on more than one model (including estimates of unconditional precision); in its initial form, it is useful in…
Current methods of evaluating wildlife habitat for management purposes can be arranged in a hierarchy of increasing generality. The most general level is evaluation of wildlife habitat for entire com- munities on the basis of inferences drawn from vegetational structure. At the base of the hierarchy the high resolution studies, upon which accuracy at the…
