在地中海牧场中使用遥感识别识别料数量和质量的气候驱动因素
Shay Adar1, Tarin Paz-Kagan2, Eli Argaman3
1School of Plant Sciences & Food Security, Faculty of Life Sciences, Tel Aviv University, Israel.
The Science of the total environment
|December 1, 2024
概括
使用Sentinel-2卫星数据和无人机洞察力的准确的牧场监测对于可持续的土地管理至关重要. 这种综合方法有效地评估了料的可用性和质量,为应对气候变化影响的适应战略提供了信息.
科学领域:
- 生态遥感器 生态遥感器
- 牧场科学 牧场科学
- 气候变化影响评估 气候变化影响评估
背景情况:
- 牧场是对气候变化和放牧压力敏感的重要生态系统.
- 有效的料监测对于防止土地退化和优化牲畜管理至关重要.
- 气候变化对牧场生产力和健康构成重大威胁.
研究的目的:
- 开发和验证用于牧场料评估的多尺度遥感方法.
- 评估气候变量和放牧强度对料数量和质量的影响.
- 在不断变化的气候条件下,为适应性牧场管理策略提供见解.
主要方法:
- 用 Sentinel-2 卫星图像时间序列 (2018-2023) 进行牧场监测.
- 综合地面真实测量和无人机衍生植被覆盖率估计用于校准.
- 分析了与料数据相关的气候变量 (温度,降雨量,VPD) 和气象指数 (SPEI,SDII).
主要成果:
- 在现场数据和Sentinel-2图像之间取得了强烈一致 (R2=0.73为生物质,0.72为质量).
- 证明适度放牧改善了料质量,但减少了数量.
- 极端天气事件,干旱压力和高VPD对料生物质量和质量的确定负面影响.
结论:
- 综合遥感方法有效监测牧场料动态.
- 气候变化趋势,包括气温上升和降雨模式变化,显著影响料生产.
- 面对气候变化,适应性管理策略对于确保可持续的牧场生态系统至关重要.
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