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使用部分最小平方路径建模和模拟场景估计瓜迪纳河的生态完整性

Sofía Villar-Rúa¹, Carolina Acuña-Alonso², Xana Álvarez¹

¹Universidade de Vigo, Hydro-Forestry Geomodeling Research Group, School of Forestry Engineering, 36005 Pontevedra, Spain.

The Science of the total environment

|September 18, 2024

概括

保护沿海森林是保持河流健康的关键. 提高森林质量可以提高高达85%的水质,而退化可以减少62%的水质.

科学领域:

环境科学环境科学
生态生态学生态生态学
水资源管理水资源管理

背景情况:

生态完整性对人类生活和生态系统至关重要,需要强有力的评估和管理策略.
由于最近的环境变化,水资源面临着物理,化学和生物污染的严重退化.
评估生态系统健康包括评估物理化学和生物参数,包括沿海植被和宏观无脊椎动物群落.

研究的目的:

开发和应用一个分析影响瓜迪纳河生态完整性的因素模型.
量化森林覆盖和人为压力对水质和生物完整性的影响.
根据沿海植被的质量和水库的存在来预测未来的生态场景.

主要方法:

利用部分最小平方路径建模 (PLS-PM) 来分析生态完整性.
森林覆盖面,人为压力,水质和生物完整性之间的量化关系.
根据河岸植被质量 (QBR) 和水库数量,制定了三种未来情景 (有利,中等,不利).

主要成果:

PLS-PM模型解释了60.3%的物理化学水质和56.6%的生物完整性.
森林覆盖对水质产生了负面影响 (W = -0.476),减少了污染.
人为压力对水质产生了积极的影响 (W = 0.680),增加了污染.

结论:

沿海植被的保护和增强是改善河流生态完整性的关键基于自然的解决方案.
未来的情景突出显著的影响:一个有利的情景可以提高85%的水质,而不利的情景可以减少62%的水质.
PLS-PM建模为有效的环境管理和水资源治理决策提供了强大的框架.

关键词:

生物完整性生物完整性环境治理环境治理部分最小平方路径建模河岸森林的森林.水的质量水的质量水安全水的安全.

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