用遥感和现场数据在山区的承载能力和利用强度的高分辨率评估
Harald Zandler1, Kim André Vanselow2, Sorosh Poya Faryabi3
1Department of Geography and Regionals Science, University of Graz, Heinrichstr. 36, 8010 Graz, Austria.
Heliyon
|November 29, 2023
概括
过度放牧威胁着干旱的牧场. 这项研究开发了对寒冷的干旱地区的高分辨率承载能力评估,揭示了30%的不可持续的牧场,特别是在冬季的牧场.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 可持续的土地管理
背景情况:
- 干旱的牧场支持全球的牲畜,但由于过度放牧而面临退化.
- 目前的承载能力评估缺乏有效生态管理所需的时空细节.
研究的目的:
- 开发一种高分辨率的方法,用于评估寒冷干旱地区的承载能力和利用水平,并结合过渡系统.
- 绘制料可用性和为明智的牧场管理决策制定要求的图表.
主要方法:
- 集成的现场数据 (植被,牲畜,放牧模式) 与Sentinel-2和MODIS雪地覆盖卫星图像.
- 制定了料需求和可用性的地图,以计算承载能力和放牧潜力.
- 纳入过渡系统变量,如料质量和与雪相关的可访问性.
主要成果:
- 确定了利用率的高空间变化 (5%-77%),30%的面积超过承载能力.
- 不可持续的牧场集中在冬季牧场和较低的海拔地区.
- 野生食草动物对整体放牧压力的影响微不足道.
结论:
- 这种新的方法为寒冷干旱地区管理提供了详细的承载能力和利用洞察力.
- 区域地图突出显示了不可持续的牧场热点,使得有针对性的干预措施成为可能.
- 评估对参数化很敏感,保守的情景将不可持续的面积增加到50%.
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