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Basic Methods for the Study of Reproductive Ecology of Fish in Aquaria

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Making ecological models adequate.

Wayne M Getz^1,2, Charles R Marshall³, Colin J Carlson¹

¹Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, 94720, USA.

Ecology Letters

|December 28, 2017

Summary

This summary is machine-generated.

Evaluating ecological models is crucial for informed environmental management and policy. This study proposes criteria for assessing model adequacy, improving their reliability for theory development and decision-making.

Keywords:

appropriate complexity modelling coarse graining disease modelling ecosystems restoration models environmental management models extinction risk assessment hierarchical modelling

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Area of Science:

Ecology
Environmental Science
Ecological Modeling

Background:

Ecological models are vital for environmental management and policy decisions.
Inadequate models can lead to detrimental environmental and societal impacts.
Current ecological modeling practices require critical evaluation for improved utility.

Purpose of the Study:

To examine common issues in ecological modeling.
To suggest criteria for improving ecological modeling frameworks.
To enhance the adequacy and utility of ecological models for theory and decision-making.

Main Methods:

Review of common issues in ecological modeling.
Proposal of criteria for assessing model adequacy.
Discussion of model elaboration, refinement, and coarse-graining procedures.

Main Results:

Appropriate process description is key for model construction, balancing data availability and ecological understanding.
Unsupported model details lead to over-parameterization and poor performance.
Lack of mechanistic details can hinder prediction of system responses to management.

Conclusions:

Ecological studies must adopt model adequacy assessment protocols, including critical questions on variable selection, data determinacy, sensitivity, and validity.
Improved procedures for model elaboration, refinement, and coarse-graining are needed.
Enhanced ecological models will advance theory, improve forecasting, and support environmental problem-solving and management.