遥感用于植被调查中的选址选择,沿着工业后植被中的连续梯度进行植被调查
Quadri A Anibaba1, Marcin K Dyderski1, Gabriela Woźniak2
1Institute of Dendrology Polish Academy of Sciences Kórnik Poland.
Ecology and evolution
|August 29, 2024
概括
遥感有效地对城市垃圾堆上的植被进行分类,揭示出不同的生态模式. 这种方法有助于理解植被变化,并支持生态恢复工作.
科学领域:
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
- 保护生物学 保护生物学
背景情况:
- 植被特征对于生态恢复结果和监测至关重要.
- 对于生态研究来说,对遥感图像进行分类是必不可少的.
- 在城市后工业废弃物堆上对自发植被进行分类的遥感理解是有限的.
研究的目的:
- 评估使用遥感数据对植被的客观先验分类是否产生生态上可解释的划分.
- 测试基于遥感的植被集群在多样性和组成方面存在差异的假设.
主要方法:
- 从2020年7月到9月获得的Sentinel 2A遥感数据.
- 记录了血管植物物种和丰富度在一个后煤矿现场的400个地块.
- 评估了遥感衍生植被单位之间的α多样性指数和社区加权平均值 (CWM) 的差异.
主要成果:
- 确定了五个植被群,反映了连续的梯度.
- 集群显示出不同的物种组成,确定了早期继承 (第一,第二,第四) 和晚期继承 (第三) 组.
- 晚期继承 (第三) 和中期继承 (第五) 集群表现出独特的多样性模式 (遗传学,功能丰富和分散).
结论:
- 使用遥感进行先验的植被分类对于植被调查具有重要意义.
- 遥感有效地区分了矿后破坏堆上的沿着连续梯度的植被类型.
- 这种方法为进一步的生态分析和恢复监测提供了生态可解释的划分.
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