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通过结合功能特征和以指数绩效为导向的方法,提高基于宏无脊椎动物的多度指数的表现
Ali Reza Esmaeili Ofogh1, Eisa Ebrahimi Dorche2, Sebastian Birk3
1Department of Natural Resources, Isfahan University of Technology, Isfahan 84156-83111, Iran; Institute of Microbiology, University of Applied Sciences and Arts of Southern Switzerland, 6850 Mendrisio, Switzerland.
The Science of the total environment
|April 30, 2024
概括
将功能特征纳入多度指数 (MMI) 显著提高了它们在评估淡水生态系统健康方面的表现. 考虑自然环境变化可以改善这些指数,指数业绩驱动的方法表现优于指数驱动的方法.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 保护生物学 保护生物学
背景情况:
- 淡水生态系统面临着全球压力,影响生物多样性和生态系统服务.
- 多度指数 (MMIs) 对于使用生物指标跟踪人为影响至关重要.
- MMI的性能依赖于对环境梯度的度量选择和校准.
研究的目的:
- 评估基于功能特征的指标对MMI性能的影响.
- 评估如何将自然梯度从人为影响中解脱出来会影响MMI性能.
- 为了比较指标绩效驱动的与指数绩效驱动的MMI开发方法.
主要方法:
- 在伊朗卡鲁恩河流域的53个地点进行了实地调查.
- 利用15种宏无脊椎动物的特征来计算社区加权平均特征值和功能多样性指数.
- 采用随机森林建模来解释自然环境梯度对指标的影响.
主要成果:
- 功能特征显著改善了MMI性能和生态解释.
- 无论是分类学还是功能上的宏无脊椎动物成分都与自然环境梯度有很强的相关性.
- 考虑到这些共变,提高了MMI的表现.
结论:
- 功能性特征的结合对淡水生态系统评估MMIs有好处.
- 解决自然环境梯度对于准确的MMI开发至关重要.
- 指数业绩驱动的MMI表现出卓越的精度,偏差,灵敏度和响应能力.
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