水生生态系统的整体观:整合健康与完整性、网络、稳定性和制度转变评估

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-02-01 DOI:10.1016/j.ijsrc.2023.12.006
Lei Huang , Jia-Nan Meng , Fuliu Xu , Ya Zhou , Guojian He , Kai Wang , Hongwei Fang
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引用次数: 0

摘要

水生生态系统,尤其是淡水生态系统,正面临着越来越多的人为干扰,因此迫切需要对生态系统进行准确评估,以便做出明智决策和进行有效管理。虽然生态系统健康和完整性评估已得到广泛应用,但这些评估通常只关注生态系统要素,而忽略了它们之间的相互联系和动态特征。建立综合生态系统评估框架对于在评估中采用全面的视角至关重要。本文对水生生态系统评估方法进行了系统回顾,包括健康和完整性评估、网络分析以及稳定性和系统转换评估。这些方法不仅考虑了单个要素,还考虑了生态系统内部复杂的相互联系和动态特征,但由于实地数据可用性的限制,对这些方面的研究很少。此外,还以鄱阳湖为例,对综合评估的具体操作进行了实际演示。将水生生态系统评估与生态建模相结合的做法得到了大力提倡,因为这不仅有助于克服实地数据在评估历史或现状方面的局限性,还能预测未来的发展。
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A holistic view of aquatic ecosystems: Integrating health and integrity, network, stability, and regime shift assessments

Aquatic ecosystems, especially freshwater ecosystems, are facing increasing anthropogenic disturbances, highlighting the urgency for accurate ecosystem assessment for informed decision-making and effective management. While ecosystem health and integrity assessments have been widely applied, they often focus on ecosystem elements, overlooking their interconnections and dynamic characteristics. Establishing an integrated ecosystem assessment framework is vital to apply a comprehensive perspective in evaluations. In the current paper, a systematic review of aquatic ecosystem assessment methods is done, encompassing health and integrity assessment, network analysis, and stability and regime shift assessment. These approaches consider not only the individual elements but also the complex interconnections and dynamic characteristics within the ecosystem, which have been rarely studied due to limitations in field data availability. A case study of Poyang Lake is further presented for practical demonstration on the specific operation of the combined assessments. The integration of aquatic ecosystem assessment with ecological modeling is strongly advocated because it not only helps overcome the limitations of field data for assessing historical or current conditions, but it also enables prediction of future developments.

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CiteScore
7.20
自引率
4.30%
发文量
567
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