The ecological detective: confronting models with data

Экологический детектив: сопоставление моделей с данными
1997-11-01
SCID:  54.1/rcmy89qt Discuss with AI
Bayesian goodness of fitecological modelingfisheries managementmaximum likelihoodmodel-data confrontation
Abstract (AI)
Preface: Beyond the Null Hypothesis1An Ecological Scenario and the Tools of the Ecological Detective32Alternative Views of the Scientific Method and of Modeling123Probability and Probability Models: Know Your Data394Incidental Catch in Fisheries: Seabirds in the New Zealand Squid Trawl Fishery945The Confrontation: Sum of Squares1066The Evolutionary Ecology of Insect Oviposition Behavior1187The Confrontation: Likelihood and Maximum Likelihood1318Conservation Biology of Wildebeest in the Serengeti1809The Confrontation: Bayesian Goodness of Fit20310Management of Hake Fisheries in Namibia Motivation23511The Confrontation: Understanding How the Best Fit Is Found263AppendixThe Method of Multiple Working Hypotheses281References295Index309
Key Findings
1
Ecological case studies address seabird incidental catch in New Zealand squid trawl fisheries, insect oviposition behavior, Serengeti wildebeest conservation, and Namibian hake fishery management.
2
It presents multiple perspectives on scientific methods, modeling, probability, and probability models, emphasizing the importance of understanding data before analysis.
3
The methodological toolkit includes sums of squares, likelihood and maximum likelihood, Bayesian goodness-of-fit assessment, and methods for identifying the best-fitting model.
4
The text is structured as a practical framework for confronting ecological models with empirical data rather than relying solely on null-hypothesis testing.
5
The work advocates multiple working hypotheses as an approach to ecological inference and model evaluation.
Research Object

Ecological systems and case studies, including seabirds in the New Zealand squid trawl fishery, insect oviposition behavior, wildebeest in the Serengeti, and hake fisheries in Namibia

Research Subject

Confrontation of ecological models with data through probabilistic, likelihood-based, Bayesian, and goodness-of-fit analyses

Publication Details
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1997-11-01
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