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Titolo:
ADJUSTING MERCURY CONCENTRATION FOR FISH-SIZE COVARIATION - A MULTIVARIATE ALTERNATIVE TO BIVARIATE REGRESSION
Autore:
SOMERS KM; JACKSON DA;
Indirizzi:
ONTARIO MINIST ENVIRONM,WATER RESOURCES BRANCH,LIMNOL SECT,POB 39 DORSET P0A 1E0 ON CANADA UNIV TORONTO,DEPT ZOOL TORONTO M5S 1A1 ONTARIO CANADA UNIV TORONTO,DEPT ZOOL TORONTO M5S 1A1 ONTARIO CANADA
Titolo Testata:
Canadian journal of fisheries and aquatic sciences
fascicolo: 11, volume: 50, anno: 1993,
pagine: 2388 - 2396
SICI:
0706-652X(1993)50:11<2388:AMCFFC>2.0.ZU;2-5
Fonte:
ISI
Lingua:
ENG
Soggetto:
WALLEYE STIZOSTEDION-VITREUM; PRECAMBRIAN SHIELD LAKES; SPATIAL AUTO-CORRELATION; PIKE ESOX-LUCIUS; BASS MICROPTERUS-DOLOMIEUI; TROUT SALVELINUS-NAMAYCUSH; ONTARIO LAKES; BIOLOGICAL DATA; ONCORHYNCHUS-KISUTCH; EMPIRICAL-EVALUATION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
84
Recensione:
Indirizzi per estratti:
Citazione:
K.M. Somers e D.A. Jackson, "ADJUSTING MERCURY CONCENTRATION FOR FISH-SIZE COVARIATION - A MULTIVARIATE ALTERNATIVE TO BIVARIATE REGRESSION", Canadian journal of fisheries and aquatic sciences, 50(11), 1993, pp. 2388-2396

Abstract

Regression-based methods like analysis of covariance (ANCOVA) are frequently used to adjust one variable for the correlated influence of a second less interesting variable (e.g., mercury concentration and fishsize). However, the influence of the covariate (i.e., fish size) is not removed unequivocally when regression slopes are not parallel. Using data on tissue-mercury concentration and fish size from 30 populations of lake trout (Salvelinus namaycush), we show that data adjusted toa common size with bivariate regression can retain information associated with the original size differences. As an alternative, we use univariate and bivariate summary statistics from each population as raw data in a multivariate analysis to search for differences among populations. Ordination axes resulting from this analysis exhibited both small- and large-scale spatial autocorrelation. Localized spatial patternsprobably reflect similar geochemical features of the watersheds of neighbouring lakes in small geographic areas. In contrast, regional spatial autocorrelation suggested broad-scale patterns that may implicate atmospheric inputs of mercury. As an extension of this multivariate approach, both regional and local patterns could be compared with environmental variables to reveal correlations that may suggest new cause-and-effect hypotheses.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 04/12/20 alle ore 18:30:56