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将 ABC 曲线、alpha 多样性指数的三个维度以及鱼类群落的空间格局整合到中国赤水河流域的健康评估中。

Integration of ABC curve, three dimensions of alpha diversity indices, and spatial patterns of fish assemblages into the health assessment of the Chishui River basin, China.

机构信息

Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, China.

University of Chinese Academy of Sciences, Beijing, 100049, China.

出版信息

Environ Sci Pollut Res Int. 2022 Oct;29(49):75057-75071. doi: 10.1007/s11356-022-20648-6. Epub 2022 Jun 1.

DOI:10.1007/s11356-022-20648-6
PMID:35648347
Abstract

Index of biotic integrity (IBI) based on fish has been applied globally. However, few have considered that fish assemblages change among different aggregate ecoregions when conducted their health assessment. Indeed, some comprehensive indices, such as functional and phylogenetic diversity indices and ABC curve, can be used to identify aspects that are not captured by traditional metrics. Consequently, we try to integrate comprehensive indices and spatial patterns of fish assemblages to develop IBI systems and then verified their effectiveness and accuracy for assessing the environmental health of the Chishui River basin. The comprehensive disturbance index (CDI), based on 11 water quality parameters and 4 human land use, was set to distinguish reference sites and impaired sites. According to the spatial patterns of fish assemblages, the 40 sites were finally divided into 2 aggregate ecoregions, include wadeable streams and nonwadeable rivers. 97 candidate metrics were selected to develop our IBI systems based on the systematic screening method. The result also showed that our IBI systems performed well in discriminating anthropogenic disturbances at both aggregate ecoregions, which suggests that our systems could provide a reliable evaluation. The mean IBI score of the Chishui River basin was 72.09 ± 16.58, and was classified as good status. However, S1 (Chishuiyuan Town), Baisha River, Tongzi River, and Xishui River were disturbed by various human activities. We conclude that the spatial patterns of fish assemblages should be combined with more comprehensive indices to assess river health. On the other hand, we do believe that the process of developing and verifying our IBI systems could be regarded as a reference for biomonitoring in more mountain river systems.

摘要

基于鱼类的生物完整性指数(IBI)已在全球范围内得到应用。然而,在进行健康评估时,很少有人考虑到鱼类群落会在不同的综合生态区之间发生变化。事实上,一些综合指数,如功能和系统发育多样性指数以及 ABC 曲线,可以用于识别传统指标无法捕捉到的方面。因此,我们试图整合鱼类群落的综合指数和空间格局,开发 IBI 系统,并验证其评估赤水河流域环境健康的有效性和准确性。综合干扰指数(CDI)基于 11 个水质参数和 4 个人类土地利用类型,用于区分参照点和受损点。根据鱼类群落的空间格局,最终将 40 个站点分为 2 个综合生态区,包括可涉溪流和不可涉河流。基于系统筛选方法,选择了 97 个候选指标来开发我们的 IBI 系统。结果还表明,我们的 IBI 系统在区分两个综合生态区的人为干扰方面表现良好,这表明我们的系统可以提供可靠的评估。赤水河流域的平均 IBI 评分为 72.09±16.58,被归类为良好状态。然而,S1(赤水元镇)、白沙河、桐梓河和习水河受到各种人类活动的干扰。我们得出结论,鱼类群落的空间格局应与更全面的指数相结合,以评估河流健康。另一方面,我们确实认为,开发和验证我们的 IBI 系统的过程可以作为更多山区河流系统生物监测的参考。

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