文献类型：期刊文献

英文题名：Integrating multiple indices based on heavy metals and macrobenthos to evaluate the benthic ecological quality status of Laoshan Bay, Shandong Peninsula, China

作者：Dong, Jian-Yu[1];Wang, Xuefeng[1];Zhang, Xiumei[2];Bidegain, Gorka[4,5];Zhao, LinLin[3]

机构：[1]Guangdong Ocean Univ, Fisheries Coll, Zhanjiang 524088, Peoples R China;[2]Zhejiang Ocean Univ, Fisheries Coll, Zhoushan 316022, Peoples R China;[3]Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China;[4]Univ Basque Country UPV EHU, Engn Sch Bilbao, Dept Appl Math, Plaza Ingeniero Torres Quevedo 1, Bilbao 48013, Spain;[5]Univ Basque Country PiE UPV EHU, Res Ctr Expt Marine Biol & Biotechnol, Plentzia Marine Stn, Areatza Pasealekua, Plentzia 48620, Spain

年份：2023

卷号：153

外文期刊名：ECOLOGICAL INDICATORS

收录：SCI-EXPANDED(收录号：WOS:001010641400001)、、EI(收录号：20232614298714)、Scopus(收录号：2-s2.0-85162771789)、WOS

基金：This work was supported by the National Key Research and Devel- opment Program of China [grant number 2019YFD0901303] , the Province Key Research and Development Program of Zhejiang [grant number 2021C02047] and Guangdong Basic and Applied Basic Research Foundation [grant number 2022A1515110957] .

语种：英文

外文关键词：Ecological assessment; Benthic invertebrates; Trace metal pollution; Ecological indices; Sediment quality

外文摘要：Many different indices have been developed to evaluate habitat quality status (EcoQs) in marine ecosystems; however, few studies have concurrently considered both abiotic and biotic indices in their assessments of benthic EcoQs. Here, we propose and test a framework for integrating heavy metal pollution-related indices and macrobenthos-based indices to assess the benthic EcoQs of Laoshan Bay (Yellow Sea, China). This bay is exposed to urbanization, construction, heavy metal pollution, and land-and marine-based culturing operations for commercially valuable species like fish, scallop, and laver (seaweed). We first assessed the EcoQs of Laoshan Bay using four heavy metal pollution-related indices, i.e., the geo-accumulation index (Igeo), potential ecological risk index (RI), pollution load index (PLI), and Nemerow pollution index (Pn) and four macrobenthos-based indices, i. e., AZTI's Marine Biotic Index (AMBI), the multivariate AMBI (M-AMBI), BENTIX, and the feeding evenness index (jFD). All indices (except Igeo) were then reclassified and combined to assess the overall EcoQs of Laoshan Bay. Our results show that, while some sites in Laoshan Bay have relatively high levels of heavy metal (Hg and Cd) pollution, the benthic EcoQs is acceptable across 88.90% of the bay. Kappa analysis showed that the agreement between any two indices was very low, which suggests that the composite index used here may be more robust for assessing EcoQs and more closely represent the actual status of benthic habitats than assessments based on single indices. In addition, the assessment framework proposed here is relatively flexible and can serve as a useful tool for evaluating the benthic EcoQs of similar marine ecosystems.