通过整合专家范围地图和机会事件来改善分布预测:来自日本海黄瓜的证据

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Updated: Sep 16, 2025

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Bingqing Xiao1,2, Songxi Yuan1,2, Ákos Bede-Fazekas3,4

  • 1State Key Laboratory of Tropical Oceanography, Guangdong Provincial Key Laboratory of Applied Marine Biology South China Sea Institute of Oceanology, Chinese Academy of Sciences Guangzhou China.

Ecology and evolution
|July 8, 2025
PubMed
概括

专家范围地图与物种分布模型 (SDM) 的整合提高了海洋生物多样性评估的准确性. 这种方法通过提供更可靠的物种空间分布预测来增强保护战略.

关键词:
数据集成数据集成数据集成专家范围地图 专家范围地图机会性事件的发生.种类分布模型的物种分布模型.堆叠的一般化 堆叠的一般化

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