The cost of complexity in forecasts of population abundances is reduced but not eliminated by borrowing information across space using a hierarchical approach-Reference-Cited by-同舟云学术

The cost of complexity in forecasts of population abundances is reduced but not eliminated by borrowing information across space using a hierarchical approach

Published:2019-12-10 Issue:2 Volume:129 Page:249-260
ISSN:0030-1299
Container-title:Oikos
language:en
Short-container-title:Oikos

Author:

Chevalier Mathieu¹²^ORCID,Knape Jonas¹

Affiliation:

1. Dept of Ecology, Swedish Univ. of Agricultural Sciences Box 7044 SE‐750 07 Uppsala Sweden

2. Dept of Ecology and Evolution, Univ. of Lausanne Lausanne Switzerland

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/oik.06401

Reference34 articles.

1. Use and misuse of the IUCN Red List Criteria in projecting climate change impacts on biodiversity

2. ‘Each site has its own survival probability, but information is borrowed across sites to tell us about survival in each site’: random effects models as means of borrowing strength in survival studies of wild vertebrates

3. The horseshoe estimator for sparse signals

4. Ecological Forecasts: An Emerging Imperative

5. FITTING POPULATION MODELS INCORPORATING PROCESS NOISE AND OBSERVATION ERROR

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