通常收集的热性能数据可以为数据有限的入侵者中物种分布提供信息
Natalie M Claunch1,2,3,4, Colin M Goodman5,6, Bryan M Kluever7
1USDA, APHIS, Wildlife Services, National Wildlife Research Center, Florida Field Station, Gainesville, FL, USA. natalie.claunch@usda.gov.
Scientific reports
|September 23, 2023
概括
生理学数据可以改进物种分布模型,即使是非本地物种,如佛罗里达州的驼. 这项研究表明,热特性如何预测息地适合性,而其他模型失败了.
科学领域:
- 生态生态学 生态生态学
- 生理生态生态学 生理生态学
- 侵入性物种 生物学 生物学
背景情况:
- 预测新环境中的物种分布是复杂的.
- 对于非本地物种,标准的相关模型经常失败.
- 生理学数据可以改进分布预测.
研究的目的:
- 为了评估佛罗里达州麻雀 (Furcifer pardalis) 的热性能,耐受性和适应性.
- 利用生理学数据开发改进的物种分布模型.
- 评估佛罗里达州息地是否适合F. pardalis.
主要方法:
- 收集了F. pardalis. 的热性能,耐受性和偏好数据.
- 评估特征适应佛罗里达中北部环境.
- 开发了基于生理值的分布模型.
主要成果:
- 松鼠黑猩猩表现出温度依赖的表现,但跨季节稳定的热极限和偏好.
- 生理学数据揭示了相关模型遗漏的适合佛罗里达州息地.
- 结合热最小值,活动窗口和性能值的模型改善了分布预测.
结论:
- 生理学数据显著提高了物种分布模型的准确性.
- 这种方法为佛罗里达州的F. pardalis等非本地物种提供了更好的预测.
- 该方法广泛适用于具有可用或可获得生理学数据的其他物种.
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