Improving Distribution Prediction by Integrating Expert Range Maps and Opportunistic Occurrences: Evidence From Japanese Sea Cucumber

Improving Distribution Prediction by Integrating Expert Range Maps and Opportunistic Occurrences: Evidence From Japanese Sea Cucumber

ABSTRACT In an era of biodiversity crisis, it is critical to perform biodiversity assessments to better inform conservation strategies. In this regard, species distribution models (SDMs) represent a widely used tool for biodiversity assessment. Despite their popularity, the accuracy of SDM predictio...

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Bibliographic Details
Main Authors: Bingqing Xiao, Songxi Yuan, Ákos Bede‐Fazekas, Jinxin Zhou, Xingyu Song, Qiang Lin, Lei Cui, Zhixin Zhang
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Ecology and Evolution
Subjects:
data integration
expert range map
opportunistic occurrence
species distribution model
stacked generalization
Online Access:https://doi.org/10.1002/ece3.71747
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https://doi.org/10.1002/ece3.71747

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