A general framework for combining ecosystem models

Author:

Spence Michael A.123ORCID,Blanchard Julia L.4ORCID,Rossberg Axel G.35ORCID,Heath Michael R.6ORCID,Heymans Johanna J.7ORCID,Mackinson Steven38ORCID,Serpetti Natalia7ORCID,Speirs Douglas C.6,Thorpe Robert B.3ORCID,Blackwell Paul G.1ORCID

Affiliation:

1. School of Mathematics and Statistics; University of Sheffield; Sheffield UK

2. Department of Animal and Plant Sciences; University of Sheffield; Sheffield UK

3. Centre for Environment; Fisheries and Aquaculture Science; Lowestoft UK

4. Institute for Marine and Antarctic Studies and Centre for Marine Socioecology; University of Tasmania; Hobart Tasmania, Tas Australia

5. Aquatic Ecology Group; Department of Organismal Biology; School of Biological and Chemical Sciences; Queen Mary University of London; London UK

6. Department of Mathematics and Statistics; University of Strathclyde; Glasgow UK

7. Scottish Association for Marine Science; Scottish Marine Institute; Oban UK

8. Scottish Pelagic Fishermen's Association; Fraserburgh UK

Funder

Natural Environment Research Council

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

Reference49 articles.

1. Combining expert opinions in prior elicitation;Albert;Bayesian Analysis,2012

2. Alhussain , Z. A. Oakley , J. E. 2017 Eliciting judgements about uncertain population means and variances https://arxiv.org/abs/1702.00978

3. Alvarez , I. Niemi , J. Simpson , M. 2014 Bayesian inference for a covariance matrix https://arxiv.org/abs/1408.4050

4. Improving estimates of population status and trend with superensemble models;Anderson;Fish and Fisheries,2017

5. Considerations for assessing model averaging of regression coefficients;Banner;Ecological Applications,2017

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