Evidence map›Paper›PMID 29460185›Full record

ArticleEnvironmental monitoring and assessment2018

Influences of environmental factors on macroinvertebrate assemblages: differences between mountain and lowland ecoregions, Wei River, China.

Shengli Li, Weifang Yang, Lizhu Wang, Kai Chen, Sheng Xu, Beixin Wang

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Article in Environmental monitoring and assessment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shengli LiDepartment of Entomology, Nanjing Agricultural University, Jiangsu, People's Republic of China.
Weifang YangJiangsu Provincial Center for Disease Prevention and Control, Jiangsu, People's Republic of China.
Lizhu WangInternational Joint Commission, Great Lakes Regional Office, Detroit, MI, USA.
Kai ChenDepartment of Entomology, Nanjing Agricultural University, Jiangsu, People's Republic of China. kai.chen@njau.edu.cn.
Sheng XuDepartment of Entomology, Nanjing Agricultural University, Jiangsu, People's Republic of China.
Beixin WangDepartment of Entomology, Nanjing Agricultural University, Jiangsu, People's Republic of China.

Funding

National Natural Science Foundation of China 41271525National Natural Science Foundation of China 51509159
6 · The paper itself

Abstract

Key environmental factors and the mechanisms of their influence on the physicochemical habitats and macroinvertebrate communities of streams may vary among ecoregions. We studied the differences in environmental (land use and physicochemical) factors and the mechanisms of their influence on macroinvertebrate assemblages between mountain and lowland ecoregions in central China. We applied generalized linear models to identify key environmental factors that influence macroinvertebrate metrics consisting of taxa richness, Ephemeroptera, Plecoptera, and Trichoptera (EPT) taxa, percentages of EPT and intolerant individuals, and the Shannon-Wiener diversity index. Environmental factors and macroinvertebrate metrics significantly differed between the ecoregions. Mountain streams had significantly lower nutrients and %silt, but had twice higher total taxa richness than lowland streams. Watershed land uses were key drivers that influenced the physical habitat in the mountain ecoregion and were the main drivers that influenced both physical and chemical conditions in the lowland ecoregion. Correspondingly, watershed scale land uses, as well as physical and chemical variables, explained more variance in macroinvertebrate metrics than local-scale land uses in both mountain and lowland ecoregions. The overall biological variation was explained better by watershed-scale than by reach-scale land uses, whereas the spatial scale over which land use and physicochemical variables influence streams varied across ecoregions. Our results suggest that better landscape planning should be adopted for watershed management to improve water quality and physical habitat, and thus the conservation and restoration of macroinvertebrate biodiversity.

Indexed as

AltitudeEcosystemWater QualityAnimalsBiodiversityChinaEnvironmental MonitoringInvertebratesModels, TheoreticalRiversChinaEcoregionEnvironmental factorsLand useMacroinvertebrateSpatial scales

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.