使用GOSIF数据模拟新疆的植被现象学:研究对干旱的累积和滞后反应
Cong Xue1, Mei Zan2, Shunfa Yang2
1College of Geography Science and Tourism, Xinjiang Normal University, Urumqi 830017, China; College of Geography and Remote Sensing, Hohai University, Nanjing 211000, China; Xinjiang Laboratory of Lake Environment and Resources in the Arid Zone, Urumqi 830017, China.
Journal of environmental management
|December 12, 2025
概括
全球气候变化影响新疆
科学领域:
- 遥感和地球观测 遥感和地球观测
- 生态与环境科学 生态与环境科学
- 气候变化科学 气候变化科学
背景情况:
- 气候变化加剧干旱的频率和严重程度,影响干旱地区的植被现象学.
- 新疆干旱区由于干旱模式发生变化而面临重大生态挑战.
- 了解植被现象学转变对于干旱生态系统管理至关重要.
研究的目的:
- 分析新疆植被现象学 (季节开始和季节结束) 的时空演变.
- 量化干旱对植被现象学的累积和滞后影响.
- 评估不同植被类型的干旱耐受性特征.
主要方法:
- 利用太阳诱导光 (SIF) 数据,MODIS 现象学产品,以及标准化降水蒸发指数 (SPEI).
- 从2001年到2020年,提取的植被是赛季开始 (SOS) 和赛季结束 (EOS).
- 对干旱影响和抗旱能力进行了定量分析.
主要成果:
- 与SOSEVI和EOSEVI相比,SOSGOSIF的植被延迟了13天,EOSGOSIF的植被提前了24天.
- 整体植被SOS显示进步,而EOS在新疆表现出延迟的趋势.
- SOSGOSIF对1个月的累积干旱影响有2个月的滞后反应;EOSGOSIF对6个月的干旱有1个月的滞后反应敏感.
- 草地SOSGOSIF显示出最强的恢复,而灌木地EOSGOSIF显示出最高的干旱弹性.
结论:
- GOSIF数据为监测新疆的植被现象学提供了优势.
- 干旱对干旱植被现象有显著的累积和滞后影响.
- 各种植被类型的多样性抗旱能力为干旱地区的生态恢复提供了基础.
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