微气候揭示了森林植物物种真正的热
Stef Haesen1,2, Jonathan Lenoir3, Eva Gril3
1Department of Earth and Environmental Sciences, Celestijnenlaan 200E, Leuven, Belgium.
Ecology letters
|October 3, 2023
概括
在物种分布模型 (SDM) 中使用微气候数据可以提高准确性和保护洞察力. 宏观气候模型引入了偏见,并未能确定森林物种的关键气候避难所.
科学领域:
- 生态生态学 生态生态学
- 生物地理学是生物地理学.
- 气候变化生物学 气候变化生物学
背景情况:
- 传统的物种分布模型 (SDM) 通常依赖于来自开放区域的宏观气候数据,忽视森林等息地内的微气候变化.
- 大多数陆地物种居住在阴凉的环境中,这使得宏观气候数据可能不具有代表性,并导致偏见的分布预测.
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