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Titolo:
Stratification of variability in runoff and sediment yield based on vegetation characteristics
Autore:
Mergen, DE; Trlica, MJ; Smith, JL; Blackburn, WH;
Indirizzi:
Colorado State Univ, Rangeland Ecosyst Sci Dept, Colorado Springs, CO 80906 USA Colorado State Univ Colorado Springs CO USA 80906 o Springs, CO 80906 USA Colorado State Univ, Rangeland Ecosyst Sci Dpet, Ft Collins, CO 80523 USA Colorado State Univ Ft Collins CO USA 80523 pet, Ft Collins, CO 80523 USA Univ Wyoming, Dept Civil Engn, Laramie, WY 82070 USA Univ Wyoming LaramieWY USA 82070 Dept Civil Engn, Laramie, WY 82070 USA Agr Res Serv, No Plains Area Off, Ft Collins, CO 80525 USA Agr Res Serv Ft Collins CO USA 80525 s Area Off, Ft Collins, CO 80525 USA
Titolo Testata:
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION
fascicolo: 3, volume: 37, anno: 2001,
pagine: 617 - 628
SICI:
1093-474X(200106)37:3<617:SOVIRA>2.0.ZU;2-F
Fonte:
ISI
Lingua:
ENG
Soggetto:
SEMIARID RANGELANDS; SOIL LOSS; INFILTRATION; EROSION; PREDICTION; TECHNOLOGY; RAINFALL; RUSLE; WEPP;
Keywords:
spatial variability; cluster analysis; discriminant analysis; erosion; infiltration;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
44
Recensione:
Indirizzi per estratti:
Indirizzo: Mergen, DE Colorado State Univ, Rangeland Ecosyst Sci Dept, 1835 Parkview Blvd, Colorado Springs, CO 80906 USA Colorado State Univ 1835 Parkview BlvdColorado Springs CO USA 80906
Citazione:
D.E. Mergen et al., "Stratification of variability in runoff and sediment yield based on vegetation characteristics", J AM WAT RE, 37(3), 2001, pp. 617-628

Abstract

Runoff and sediment yield were collected from 100 plots during simulated rainfalls (100 mm/hr for 15 minutes) at antecedent soil moisture conditions. A clustering technique was used to stratify the variability of a single data set within a sagebrush-grass community into four groups based on vegetation life form and amount of cover. The four cluster groups were grass, grass/shrub, shrub, and forb/grass and were found to be significantly differentin plant height, surface roughness, soil bulk density, and soil organic matter. Stepwise multiple regression analyses were performed on the single data set and each cluster group. Results for individual groups resulted in more robust predictive equations for runoff (r(2) = 0.65-0.73) and sediment yield (r(2) = 0.37-0.91) than for equations developed from the single data set (r(2) = 0.56 for runoff and r(2) = 0.27 for sediment yield). The standard errors of the cluster group regression equations were also improved in three of the four group equations for both runoff and sediment yield comparedto the single data set. Runoff was found to be significantly less (p < 0.01) in the forb/grass group compared with other vegetation cluster groups, but this was influenced by four plots that produced Little or no runoff. Sediment yield was not found to be significantly different among any cluster groups. Discriminant analysis was then used to identify important variables and develop a model to classify plots into one of the four cluster groups. The discriminant model could be incorporated into rangeland hydrology and erosion models. The percentage cover of grasses, shrubs, litter, and bare ground effectively stratified about 12 percent of the variation observed in runoff and 26 percent of the variability for sediment yield as determined byr(2).

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Documento generato il 27/01/20 alle ore 01:22:18