Utility of a macroinvertebrate-based multimetric index in subtropical shallow lakes
Utility of a macroinvertebrate-based multimetric index in subtropical shallow lakes
复制标题
基于大型无脊椎动物的多指标在亚热带浅湖中的应用
DOI：
10.1016/j.ecolind.2019.105527
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发表时间：
2019-11
影响因子：
6.9
通讯作者：
Li Kuanyi
中科院分区：
文献类型：
--
作者：
Zhang You;Cheng Long;Kong Ming;Li Wei;Gong Zhijun;Zhang Lu;Wang Xiaolong;Cai Yongjiu;Li Kuanyi
Benthic macroinvertebrates have a long history of use in environmental monitoring. However, macroinvertebrate-based multimetric approach has not been well developed to assessment aquatic ecosystems in China, particularly in lake ecosystems. Eutrophication has been recognized as one of the main pressures affecting shallow lakes in China and elsewhere and it is thus desirable to quantify its effects on ecological integrity of lake ecosystems. Here, 41 subtropical shallow lakes in the Eastern Plain Lake Ecoregion of China were sampled and defined as three groups along eutrophication gradients. A macroinvertebrate-based multimetric index, consisting of three taxonomic metrics (No. of Gastropoda taxa, biological pollution index, and Margalef index) and two functional metrics (functional evenness and relative abundance of deposit feeder) was developed based on the datasets of the 41 lakes, and the results of multiple linear regression showed that the MMI was significantly related to the concentration of TP and macrophyte cover. This finding indicated that the MMI could characterize the influence of eutrophication on lake ecosystems. Our results also indicated that functional metrics could complement the information provided by taxonomic metrics, and we recommend to properly use functional metrics in lake biomonitoring. The macroinvertebrate-based MMI proposed here is the first attempt using biological quality element to assess the ecological status of shallow lakes in the view of eutrophication at the regional scale and could provide complementary information to traditional water quality assessment for the development of management strategies.
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影响因子：
--
作者：
H. Yi
通讯作者：
H. Yi
影响因子：
3
作者：
Déborah R. O. Silva;R. Ligeiro;R. Hughes;M. Callisto
通讯作者：
Déborah R. O. Silva;R. Ligeiro;R. Hughes;M. Callisto
DOI：
10.1016/j.scitotenv.2013.08.058
发表时间：
2014-01
期刊：
The Science of the total environment
影响因子：
--
作者：
Eduard Szöcs;E. Coring;J. Bäthe;R. Schäfer
通讯作者：
Eduard Szöcs;E. Coring;J. Bäthe;R. Schäfer
影响因子：
6.6
作者：
D. Schoolmaster;J. Grace;E. W. Schweiger
通讯作者：
D. Schoolmaster;J. Grace;E. W. Schweiger
影响因子：
2.6
作者：
V. Saito;T. Siqueira;A. A. Fonseca-Gessner-A.
通讯作者：
V. Saito;T. Siqueira;A. A. Fonseca-Gessner-A.