使用卫星数据来评估鸟类多样性的空间驱动因素
Merryn L Hunt1, George Alan Blackburn2, Gavin M Siriwardena3
1UK Centre for Ecology & Hydrology, Lancaster Environment Centre Lancaster University Lancaster LA1 4YQ United Kingdom.
Remote sensing in ecology and conservation
|March 20, 2024
概括
鸟类的分布受息地生产力和景观结构的影响. 了解这些空间驱动因素是保护鸟类生物多样性的关键.
科学领域:
- 生态生态学 生态生态学
- 保护生物学 保护生物学
- 遥感 遥感 遥感 遥感
背景情况:
- 全球生物多样性正在下降,鸟类是生态系统健康的关键指标.
- 了解影响鸟类分布的空间驱动因素对于有效的保护战略至关重要.
研究的目的:
- 评估卫星衍生息地生产力,异质性和景观结构对建模鸟类分布的重要性.
- 确定影响大不列颠森林和农田鸟类多样性和丰富性的关键空间驱动因素.
主要方法:
- 利用随机森林 (RF) 回归来利用卫星衍生的协变量来模型鸟类的多样性和丰富性.
- 使用特征贡献分析来了解空间驱动因素和鸟类物种丰富之间的关系.
- 纳入每个月的息地特定生产力值和景观结构指标 (FRAGSTATS).
主要成果:
- 息地生产力和景观结构指标解释了鸟类分布变化的很大一部分 (R2 0.64-0.77).
- 确定春季的高生产率草原是农田鸟类的主要驱动力.
- 突出林地补丁边缘长度作为林地鸟类的重要因素.
- 揭示了特定的关系,例如高NDVI在宽叶林地对鸟类丰富性的积极影响.
结论:
- 来自卫星的空间数据有效地模拟了鸟类的多样性和丰富性.
- 特定的息地特征 (例如,春季草地生产力,森林边缘) 是不同鸟类群体的关键空间驱动因素.
- 鉴定的关系为分析和比较空间驱动因素对鸟类种群的影响提供了有价值的工具.
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