Spatial sampling bias and model complexity in stream‐based species distribution models: A case study of Paddlefish ( Polyodon spathula ) in the Arkansas River basin, USA-Reference-Cited by-同舟云学术

Spatial sampling bias and model complexity in stream‐based species distribution models: A case study of Paddlefish ( Polyodon spathula ) in the Arkansas River basin, USA

Published:2019-12-25 Issue:2 Volume:10 Page:705-717
ISSN:2045-7758
Container-title:Ecology and Evolution
language:en
Short-container-title:Ecol Evol

Author:

Taylor Andrew T.¹^ORCID,Hafen Thomas¹,Holley Colt T.²^ORCID,González Alin¹^ORCID,Long James M.³^ORCID

Affiliation:

1. Oklahoma Cooperative Fish and Wildlife Research Unit Department of Natural Resource Ecology and Management Oklahoma State University Stillwater OK USA

2. U.S. Geological Survey Fort Peck Project Office Columbia Environmental Research Center Fort Peck MT USA

3. U.S. Geological Survey Oklahoma Cooperative Fish and Wildlife Research Unit Department of Natural Resource Ecology and Management Oklahoma State University Stillwater OK USA

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ece3.5913

Reference73 articles.

1. spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models

2. Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent

3. Ensemble forecasting of species distributions

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