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DOI10.1016/j.ecolind.2014.11.005
Effect of ecological group classification schemes on performance of the AMBI benthic index in US coastal waters
Gillett, David J.1; Weisberg, Stephan B.1; Grayson, Treda2; Hamilton, Anna3; Hansen, Virginia4; Leppo, Erik W.3; Pelletier, Marguerite C.5; Borja, Angel6; Cadien, Donald7; Dauer, Daniel8; Diaz, Robert9; Dutch, Margaret10; Hyland, Jeffrey L.11; Kellogg, Michael12; Larsen, Peter F.13; Levinton, Jeffrey S.14; Llanso, Roberto15; Lovell, Lawrence L.7; Montagna, Paul A.16; Pasko, Dean17; Phillips, Charles A.18; Rakocinski, Chet19; Ranasinghe, J. Ananda1; Sanger, Denise M.20; Teixeira, Heliana21; Van Dolah, Robert F.20; Velarde, Ronald G.22; Welch, Kathy I.10
发表日期2015-03-01
ISSN1470-160X
卷号50页码:99-107
英文摘要

The AZTI Marine Biotic Index (AMBI) requires less geographically-specific calibration than other benthic indices, but has not performed as well in US coastal waters as it has in the European waters for which it was originally developed. Here we examine the extent of improvement in index performance when the Ecological Group (EG) classifications on which AMBI is based are derived using local expertise. Twenty-three US benthic experts developed EG scores for each of three regions in the United States, as well as for the US as a whole. Index performance was then compared using: (1) EG scores specific to a region, (2) national EG scores, (3) national EG scores supplemented with standard international EG scores for taxa that the US experts were not able to make assignments, and (4) standard international EG scores. Performance of each scheme was evaluated by diagnosis of condition at pre-defined good/bad sites, concordance with existing local benthic indices, and independence from natural environmental gradients. The AMBI performed best when using the national EG assignments augmented with standard international EG values. The AMBI using this hybrid EG scheme performed well in differentiating apriori good and bad sites (>80% correct classification rate) and AMBI scores were both concordant and correlated (r(s) = 0.4-0.7) with those of existing local indices. Nearly all of the results suggest that assigning the EG values in the framework of local biogeographic conditions produced a better-performing version of AMBI. The improved index performance, however, was tempered with apparent biases in score distribution. The AMBI, regardless of EG scheme, tended to compress ratings away from the extremes and toward the moderate condition and there was a bias with salinity, where high quality sites received increasingly poorer condition scores with decreasing salinity. (C) 2014 Elsevier Ltd. All rights reserved.


英文关键词Macrobenthos;Assessment index;Tolerance values;Best professional judgement;Biogeographic variation
语种英语
WOS记录号WOS:000348265200011
来源期刊ECOLOGICAL INDICATORS
来源机构美国环保署
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/62007
作者单位1.Southern Calif Coastal Water Res Project, Costa Mesa, CA 92648 USA;
2.United States Environm Protect Agcy, Off Water, Washington, DC USA;
3.Tetra Tech, Owings Mills, MD 21117 USA;
4.US EPA, Gulf Ecol Div, Gulf Breeze, FL 32561 USA;
5.US EPA, Atlant Ecol Div, Narragansett, RI 02882 USA;
6.AZTI Tecnalia Marine Res Div, Pasaia 20110, Spain;
7.Sanitat Dist Angeles Cty, Ocean Monitoring Res Grp Cty, Carson, CA 90745 USA;
8.Old Dominion Univ, Dept Biol Sci, Norfolk, VA 23529 USA;
9.Virginia Inst Marine Sci, Coll William & Mary, Gloucester Point, VA 23062 USA;
10.Washington State Dept Ecol, Olympia, WA 98504 USA;
11.NOAA, Natl Ocean Serv, Ctr Coastal Environm Hlth & Biomol Res, Charleston, SC 29412 USA;
12.San Francisco Publ Util Commiss, Oceanside Biol Lab, San Francisco, CA 94132 USA;
13.Bigelow Lab Ocean Sci, East Boothbay, ME 04544 USA;
14.SUNY Stony Brook, Dept Ecol & Evolut, Stony Brook, NY 11794 USA;
15.ESA, Versar Inc, Columbia, MD 21045 USA;
16.Texas A&M Univ, Harte Res Inst, Corpus Christi, TX 78412 USA;
17.Orange Cty Sanitat Dist, Fountain Valley, CA 92708 USA;
18.Dancing Coyote Environm, Aliso Viejo, CA 92656 USA;
19.Univ So Mississippi, Gulf Coast Res Lab, Ocean Springs, MS 39564 USA;
20.Marine Resources Res Inst, South Carolina Dept Nat Resources, Charleston, SC 29422 USA;
21.IES, JRC, European Commiss, Water Resources Unit, I-21027 Ispra, VA, Italy;
22.Marine Biol Lab, San Diego, CA 92708 USA
推荐引用方式
GB/T 7714
Gillett, David J.,Weisberg, Stephan B.,Grayson, Treda,et al. Effect of ecological group classification schemes on performance of the AMBI benthic index in US coastal waters[J]. 美国环保署,2015,50:99-107.
APA Gillett, David J..,Weisberg, Stephan B..,Grayson, Treda.,Hamilton, Anna.,Hansen, Virginia.,...&Welch, Kathy I..(2015).Effect of ecological group classification schemes on performance of the AMBI benthic index in US coastal waters.ECOLOGICAL INDICATORS,50,99-107.
MLA Gillett, David J.,et al."Effect of ecological group classification schemes on performance of the AMBI benthic index in US coastal waters".ECOLOGICAL INDICATORS 50(2015):99-107.
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