Clustering and ensembling approaches to support surrogate‐based species management-Reference-Cited by-同舟云学术

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Clustering and ensembling approaches to support surrogate‐based species management

Published:2019-05-06 Issue: Volume: Page:
ISSN:1366-9516
Container-title:Diversity and Distributions
language:en
Short-container-title:Divers Distrib

Author:

Sofaer Helen R.¹²^ORCID,Flather Curtis H.³,Skagen Susan K.¹^ORCID,Steen Valerie A.¹²^ORCID,Noon Barry R.²

Affiliation:

1. U.S. Geological Survey Fort Collins Science Center Fort Collins Colorado

2. Department of Fish, Wildlife and Conservation Biology Colorado State University Fort Collins Colorado

3. U.S. Forest Service Rocky Mountain Research Station Fort Collins Colorado

Funder

U.S. Department of the Interior North Central Climate Adaptation Science Center

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.12933

Reference89 articles.

1. A new method for non‐parametric multivariate analysis of variance;Anderson M. J.;Austral Ecology,2001

2. Ensemble forecasting of species distributions;Araujo M. B.;Trends in Ecology & Evolution,2007

3. Duck populations as indicators of landscape condition in the Prairie Pothole Region;Austin J. E.;Environmental Monitoring and Assessment,2001

4. Testing the predictive performance of distribution models;Bahn V.;Oikos,2013

5. Selecting indicator species for biodiversity management;Bal P.;Frontiers in Ecology and the Environment,2018

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