使用多季多群追踪和卫星图像检测山羊牧养对植被覆盖变化的影响
Tarin Paz-Kagan1, Vladimir Alexandroff1, Eugene David Ungar2
1French Associates Institute for Agriculture and Biotechnology of Dryland, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, 8499000, Israel.
The Science of the total environment
|June 25, 2023
概括
整合GPS跟踪和遥感,有效地检测出小反动物食如何影响植被覆盖. 这证实了畜牧放牧是减少地中海森林火灾燃料负载的可行策略.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
背景情况:
- 由于气候变化,地中海森林火灾的频率和严重程度正在增加.
- 有效的底层燃料管理对于减轻火灾风险至关重要.
- 小反动物的食是一种可持续的,但难以量化的燃料管理策略.
研究的目的:
- 评估是否整合遥感和群体跟踪可以检测小反动物食对植被的景观规模影响.
- 评估规定放牧在地中海森林中减少燃料的有效性.
主要方法:
- 在100平方公里的地区,GPS项圈在六年内追踪了七只山羊群.
- 群体位置以10米分辨率转换为养率 (动物存在日数/面积/时间).
- 植被覆盖的变化估计使用Landsat-8衍生的SAVI时间序列.
- 随机森林模型分析了种植率和环境因素对植被变化的影响.
主要成果:
- 养殖率和到场的距离是影响植被覆盖面变化的重要因素.
- 该研究检测到群体对区域范围内的植被覆盖趋势的影响.
- 在所有群体中观察到养率的对数缩放.
结论:
- 通过GPS跟踪,遥感和机器学习的结合使用,成功地检测到了牧场对植被的影响.
- 小反动物的食是减少地中海森林生态系统燃料的有效工具.
- 这种综合方法提供了一种可扩展的方法,用于监测和管理用于防火的牧场影响.
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