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Accounting for regional variation in both natural environment and human disturbance to improve performance of multimetric indices of lotic benthic diatoms
Tang, Tao1,2; Stevenson, R. Jan2; Infante, Dana M.3
2016-10-15
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume568Pages:1124-1134
AbstractRegional variation in both natural environment and human disturbance can influence performance of ecological assessments. In this study we calculated 5 types of benthic diatom multimetric indices (MMIs) with 3 different approaches to account for variation in ecological assessments. We used: site groups defined by ecoregions or diatom typologies; the same or different sets of metrics among site groups; and unmodeled or modeled MMIs, where models accounted for natural variation in metrics within site groups by calculating an expected reference condition for each metric and each site. We used data from the USEPA's National Rivers and Streams Assessment to calculate the MMIs and evaluate changes in MMI performance. MMI performance was evaluated with indices of precision, bias, responsiveness, sensitivity and relevancy which were respectively measured as MMI variation among reference sites, effects of natural variables on MMIs, difference between MMIs at reference and highly disturbed sites, percent of highly disturbed sites properly classified, and relation of MMIs to human disturbance and stressors. All 5 types of MMIs showed considerable discrimination ability. Using different metrics among ecoregions sometimes reduced precision, but it consistently increased responsiveness, sensitivity, and relevancy. Site specific metric modeling reduced bias and increased responsiveness. Combined use of different metrics among site groups and site specific modeling significantly improved MMI performance irrespective of site grouping approach. Compared to ecoregion site classification, grouping sites based on diatom typologies improved precision, but did not improve overall performance of MMIs if we accounted for natural variation in metrics with site specific models. We conclude that using different metrics among ecoregions and site specific metric modeling improve MMI performance, particularly when used together. Applications of these MMI approaches in ecological assessments introduced a tradeoff with assessment consistency when metrics differed across site groups, but they justified the convenient and consistent use of ecoregions. (C) 2016 Elsevier B.V. All rights reserved.
SubtypeArticle
KeywordMultimetric Index Biological Condition Ecoregions Biological Typology Bioassessment
DOI10.1016/j.scitotenv.2016.03.060
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
Indexed BySCI
Funding OrganizationChinese Academy of Sciences ; Chinese Academy of Sciences ; USEPA(R835203) ; USEPA(R835203) ; US Fish and Wildlife Service ; US Fish and Wildlife Service ; US Geological Survey ; US Geological Survey ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; USEPA(R835203) ; USEPA(R835203) ; US Fish and Wildlife Service ; US Fish and Wildlife Service ; US Geological Survey ; US Geological Survey
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS KeywordCONTERMINOUS UNITED-STATES ; STREAM FISH ASSEMBLAGES ; MID-ATLANTIC HIGHLANDS ; FRESH-WATER BIOTA ; LANDSCAPE CLASSIFICATIONS ; BIOLOGICAL INTEGRITY ; SPECIES COMPOSITION ; CONTINENTAL-SCALE ; SPATIAL-PATTERNS ; RANDOM FORESTS
WOS IDWOS:000382258300114
Funding OrganizationChinese Academy of Sciences ; Chinese Academy of Sciences ; USEPA(R835203) ; USEPA(R835203) ; US Fish and Wildlife Service ; US Fish and Wildlife Service ; US Geological Survey ; US Geological Survey ; Chinese Academy of Sciences ; Chinese Academy of Sciences ; USEPA(R835203) ; USEPA(R835203) ; US Fish and Wildlife Service ; US Fish and Wildlife Service ; US Geological Survey ; US Geological Survey
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/28377
Collection淡水生态学研究中心
Affiliation1.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Peoples R China
2.Michigan State Univ, Dept Integrat Biol, Ctr Water Sci, E Lansing, MI 48824 USA
3.Michigan State Univ, Dept Fisheries & Wildlife, E Lansing, MI 48824 USA
Recommended Citation
GB/T 7714
Tang, Tao,Stevenson, R. Jan,Infante, Dana M.. Accounting for regional variation in both natural environment and human disturbance to improve performance of multimetric indices of lotic benthic diatoms[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2016,568:1124-1134.
APA Tang, Tao,Stevenson, R. Jan,&Infante, Dana M..(2016).Accounting for regional variation in both natural environment and human disturbance to improve performance of multimetric indices of lotic benthic diatoms.SCIENCE OF THE TOTAL ENVIRONMENT,568,1124-1134.
MLA Tang, Tao,et al."Accounting for regional variation in both natural environment and human disturbance to improve performance of multimetric indices of lotic benthic diatoms".SCIENCE OF THE TOTAL ENVIRONMENT 568(2016):1124-1134.
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