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基于多种物种分布模型的水生生态系统健康综合指数

Soyoung Woo¹, Wonjin Kim¹, Yongwon Kim²

¹Department of Hydro Science and Engineering Research, Korea Institute of Civil Engineering and Building Technology, South Korea.

The Science of the total environment

|February 13, 2025

概括

一个新的全水生态系统健康指数 (T-AEHI) 整合了物种分布模型来评估淡水息地的健康状况. 土地利用,特别是城市和农业,对水生生态系统产生重大影响,突出了保护的需要.

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:

水生生态系统的健康对生物多样性和生态系统服务至关重要.
评估生态系统健康需要综合指数,考虑多个因素.
现有的指数可能无法完全捕捉生态系统健康的时空动态.

研究的目的:

开发和验证水生生态系统健康的综合指数.
确定影响淡水息地的关键环境驱动因素.
评估指数在不同空间和时间尺度上的有效性.

主要方法:

利用了包含环境变量和物种发生数据的多物种分布模型 (SDM).
通过整合来自三个分类群的发生概率,开发了全水生态系统健康指数 (T-AEHI).
与现有的生态指数相关联T-AEHI并评估其时空性能.

主要成果:

多种物种分布模型将土地利用 (城市,农业) 确定为淡水息地退化的主要驱动因素.
开发的T-AEHI与已建立的生态评估工具有很强的相关性.
该指数在评估水生生态系统在各种空间时间尺度上的健康方面被证明是有效的.

结论:

T-AEHI提供了水生生态系统健康的强大和综合的衡量标准.
土地利用变化对淡水生态系统构成重大威胁,需要有针对性的管理.
这种方法为为水生生态系统保护和恢复战略提供了有价值的工具.

关键词:

多种多种的分布模型.事件发生概率的概率.随机的森林随机的森林溪流水生态生态系统总水生生态系统健康指数 (T-AEHI)

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