使用人工鱼礁多指标指数 (ARMI) 评估人工鱼礁的性能和管理,Ocean & Coastal Management

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使用人工鱼礁多指标指数 (ARMI) 评估人工鱼礁的性能和管理
Ocean & Coastal Management ( IF 4.8 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.ocecoaman.2020.105350
Juliano Silva Lima , Javier Atalah , Pablo Sanchez-Jerez , Ilana Rosental Zalmon

摘要人工鱼礁 (ARs) 已成为增加与手工和商业捕鱼相关的鱼群的重要工具。AR 的综合评估对于理解这些结构的条件和好处是必要的。开发了多指标 (ARMI) 来评估与人工结构相关的鱼类组合，并评估 AR 与对照区域 (CA) 相比的效率。AR 全球排名指数 (ARMIr) 和 AR 局部效应指数 (ARMIe) 包括 16 个指标，代表鱼类群落的四个广泛层次：鱼类组合结构、营养结构、脆弱性和经济重要性。使用来自巴西里约热内卢北部 AR 和 CA 的鱼类组合的长期数据集对各个指标进行了评估。在创建珊瑚礁后的 21 年里，底部刺网每年两次对鱼进行采样。AR 的 ARMIr 总分是 51 分（满分 100 分），分数从 38 到 54 不等。CA 的 ARMIr 总分是 39（满分 100 分），分数从 35 到 47 分不等。平均 ARMIe 值为 12% AR 相对于 CA 更高。使用广义加性模型对 ARMIr 的时空比较显示 AR 和 CA 之间存在显着差异。ARMIe 分数的评估表明，AR 中的组合结构和经济重要性水平随着时间的推移显着增加。拟议的指数结合了鱼类的结构和功能水平，为评估 AR 和邻近地区的生态状况提供了一种稳健而灵敏的方法。

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Evaluating the performance and management of artificial reefs using artificial reef multimetric index (ARMI)

Abstract Artificial reefs (ARs) have become an important tool to increase the ichthyofauna associated with artisanal and commercial fishing. Integrated evaluations of ARs are necessary to comprehend the condition and benefits of these structures. Multimetric indices (ARMIs) were developed to evaluate fish assemblages associated with artificial structures and to assess the efficiency of the AR compared to control area (CA). The AR global ranking index (ARMIr) and AR local effect index (ARMIe) include 16 metrics that represent four broad levels of the fish community: structure of fish assemblages, trophic structure, vulnerability and economic importance. Individual metrics were evaluated using a long-term dataset of fish assemblages from the AR and CA in northern Rio de Janeiro, Brazil. Bottom gillnets were used to sample the fish two times per year for 21 years after creating the reef. The ARMIr general score for the AR was 51 out of a possible 100, with scores varying from 38 to 54. The ARMIr general score for the CA was 39 out of 100, with scores varying from 35 to 47. Average ARMIe values were 12% higher for the AR in relation to the CA. Spatial-temporal comparisons of the ARMIr using generalized additive models revealed significant differences between AR and CA. Evaluations of the ARMIe scores revealed that the assemblage structure and economic importance level significantly increased over time in the AR. The proposed indices combine structural and functional levels of fish, providing a robust and sensitive method to evaluate the ecological condition of ARs and adjacent areas. The data contribute to discussions related to ARs management and provides a baseline for defining fish assemblage metrics in assessment of localities with artificial structures.

更新日期：2020-12-01

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