分析环境流量指数对保护大型无脊椎动物生物多样性的影响

M. Sedighkia, Asghar Abdoli
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摘要

本研究评估了河流栖息地环境水流制度对大型无脊椎动物生物多样性指数的影响。该研究建立了一个多元线性回归模型来模拟大型无脊椎动物的生物多样性指数,其中考虑了两个综合指标作为输入。生物多样性模型的输入指标包括一个可综合所有关键水质参数影响的综合水质指数和一个综合物理流量指数。根据案例研究结果,一些环境流量水文指数(如年均流量的 10%)会明显削弱大型无脊椎动物的生物多样性。相比之下,一些环境流量指数(如物理栖息地指数)可以通过尽量缩小自然流量和环境流量体系中生物多样性指数之间的差异来减轻流量体系变化的影响。此外,一些水文指标(如年均流量的 60%)的表现与物理生境方法类似。然而,研究结果表明,人类活动导致的水质恶化大大削弱了生物多样性,即使在自然水流状态下也是如此,这意味着在不改善水质的情况下实施环境水流状态可能会恶化生物多样性。这项研究强调,应将环境流研究纳入大型无脊椎动物的生物多样性模型中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing the impact of environmental flow indices on protecting the biodiversity of macroinvertebrates
This study evaluates the impact of environmental flow regimes in the river habitats on the biodiversity index of macroinvertebrates. A multiple linear regression model was developed to simulate the biodiversity index of macroinvertebrates in which two combined indicators were considered as the inputs. A combined water quality index that can integrate the impacts of all key water quality parameters as well as a combined physical flow index were considered as the inputs of the biodiversity model. Based on the case study results, some hydrological indices of environmental flows such as 10% of mean annual flow would remarkably weaken the biodiversity of macroinvertebrates. By contrast, some environmental flow indices such as the physical habitat index can mitigate the impacts of changing flow regimes by minimizing the differences between the biodiversity index in the natural flow and environmental flow regimes. Furthermore, some hydrological indicators such as 60% of mean annual flow performed similarly to physical habitat methods. However, the results demonstrated that the degradation of water quality due to human activities has considerably weakened the biodiversity even in the natural flow regime, which means implementing an environmental flow regime without water quality improvement might worsen biodiversity. This study highlights that environmental flow studies should be incorporated within the biodiversity modeling of macroinvertebrates.
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