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
Abstract Leveraging existing presence records and geospatial datasets, species distribution modeling has been widely applied to informing species conservation and restoration efforts. Maxent is one of the most popular modeling algorithms, yet recent research has demonstrated Maxent models are vulner...
Enregistré dans:
Auteurs principaux: | Andrew T. Taylor, Thomas Hafen, Colt T. Holley, Alin González, James M. Long |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Wiley
2020
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/3932f52abb9047f4a2bafdfcbdd426de |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Inferring the Potential Geographic Distribution and Reasons for the Endangered Status of the Tree Fern, <i>Sphaeropteris lepifera</i>, in Lingnan, China Using a Small Sample Size
par: Xueying Wei, et autres
Publié: (2021) -
Wintry habitat selection of the Zapallaren tree iguana (Liolaemus zapallarensis, Müller & Hellmich, 1933) and its abundance in Changa beach, Coquimbo, northern Chile
par: Chávez-Villavicencio,César, et autres
Publié: (2020) -
Definition of an indicator assessing the impact of a dam on the downstream river landscape
par: Erica Vassoney, et autres
Publié: (2021) -
Seasonal periphyton response to low-level nutrient exposure in a least disturbed mountain stream, the Buffalo River, Arkansas
par: Billy G. Justus, et autres
Publié: (2021) -
Transferability of 34 red-listed peatland plant species models across boreal vegetation zone
par: Parvez Rana, et autres
Publié: (2021)