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Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
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TLDR
The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).Abstract:
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 * Summaryread more
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Journal ArticleDOI
Effects of habitat fragmentation on avian nesting success: a review of the evidence at multiple spatial scales
Scott E. Stephens,Scott E. Stephens,David N. Koons,David N. Koons,Jay J. Rotella,David W. Willey +5 more
TL;DR: In this article, the authors reviewed published literature to examine the effect of habitat fragmentation on avian nesting success at three spatial scales (i.e., edge, patch, and landscape scales) and found that the scale at which fragmentation is measured and the duration of the study did influence the probability that a study will detect a fragmentation effect.
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A spatially explicit model of sapling growth in a tropical forest: does the identity of neighbours matter?
María Uriarte,Richard Condit,Richard Condit,Charles D. Canham,Stephen P. Hubbell,Stephen P. Hubbell +5 more
TL;DR: The results suggest that the response of target species to crowding, rather than individual species effects on targets, may be subject to selection, which is likely to contribute to the maintenance of species diversity in tropical forests.
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Alternatives to statistical hypothesis testing in ecology: a guide to self teaching.
N. Thompson Hobbs,Ray Hilborn +1 more
TL;DR: Alternatives to hypothesis testing are reviewed including techniques for parameter estimation and model selection using likelihood and Bayesian techniques, which hold promise for new insight in ecology by encouraging thoughtful model building as part of inquiry.
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What size is a biologically relevant landscape
Heather B. Jackson,Lenore Fahrig +1 more
TL;DR: This is the first study to generate testable hypotheses concerning the mechanisms underlying the scale at which populations respond to the landscape, and predicts how species traits influence the scale of effect.
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Causal inference in disease ecology: investigating ecological drivers of disease emergence
TL;DR: Some of the barriers to advancing the understanding of causation in disease ecology are outlined and some solutions for investigating large-scale ecological drivers, such as global warming, pollution, and land-use change are offered.