2024
DOI: 10.1007/s42995-024-00226-0
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Incorporating physiological knowledge into correlative species distribution models minimizes bias introduced by the choice of calibration area

Zhixin Zhang,
Jinxin Zhou,
Jorge García Molinos
et al.

Abstract: Correlative species distribution models (SDMs) are important tools to estimate species’ geographic distribution across space and time, but their reliability heavily relies on the availability and quality of occurrence data. Estimations can be biased when occurrences do not fully represent the environmental requirement of a species. We tested to what extent species’ physiological knowledge might influence SDM estimations. Focusing on the Japanese sea cucumber Apostichopus japonicus within the coastal ocean of E… Show more

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