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Titolo:
Application of response surface methodology and ANOVA to detect pollution effects on photosynthetic response under varying temperature and light regimes
Autore:
Momen, B; Anderson, PD; Helms, JA;
Indirizzi:
Univ Maryland, Dept Nat Resource Sci & Landscape Architecture, College Pk,MD 20742 USA Univ Maryland College Pk MD USA 20742 chitecture, College Pk,MD 20742 USA US Forest Serv, USDA, Forestry Sci Lab, Rhinelander, WI USA US Forest Serv Rhinelander WI USA Forestry Sci Lab, Rhinelander, WI USA Univ Calif Berkeley, Dept Environm Sci Policy & Management, Berkeley, CA 94720 USA Univ Calif Berkeley Berkeley CA USA 94720 agement, Berkeley, CA 94720 USA
Titolo Testata:
FOREST ECOLOGY AND MANAGEMENT
fascicolo: 1-3, volume: 152, anno: 2001,
pagine: 331 - 337
SICI:
0378-1127(20011015)152:1-3<331:AORSMA>2.0.ZU;2-9
Fonte:
ISI
Lingua:
ENG
Soggetto:
ABIES L KARST; SIMULATED ACID-RAIN; ENVIRONMENT ALTERS RESPONSE; ACER-SACCHARUM MARSH; LONG-TERM EXPOSURE; OPEN-TOP CHAMBERS; HYBRID POPULUS L; PONDEROSA PINE; NET PHOTOSYNTHESIS; NORWAY SPRUCE;
Keywords:
acid rain; ozone; photosynthesis; Pinus ponderosa; response-surface methodology;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
35
Recensione:
Indirizzi per estratti:
Indirizzo: Momen, B Univ Maryland, Dept Nat Resource Sci & Landscape Architecture, HJPatterson Hall, College Pk, MD 20742 USA Univ Maryland HJ Patterson Hall College Pk MD USA 20742 20742 USA
Citazione:
B. Momen et al., "Application of response surface methodology and ANOVA to detect pollution effects on photosynthetic response under varying temperature and light regimes", FOREST ECOL, 152(1-3), 2001, pp. 331-337

Abstract

Studies of air pollution effects on plant physiological responses to diurnal changes in environmental conditions are complex, and thus, require efficient statistical design and valid data analysis. Here, we aim at demonstrating the use of a response-surface methodology (RSM) including least square regression and canonical analyses in combination with a two-way ANOVA to quantify net photosynthetic (A(n)) response of ponderosa pine (Pinus ponderosa Dougl. ex Laws) seedlings to different levels of rain acidity, ozone, temperature, and light conditions. Seedlings were exposed to four combinationsof two rain (pH 5.1 and 3) and two ozone (ambient, and twice-ambient) regimes. The rain treatment was applied to foliage only on a weekly basis from January to April 1992. The ozone treatment was applied from September 1991 to November 1992. A(n) responses of current- and 1-year-old foliage to ninecombinations of three temperatures (18, 25, 32 degreesC) and three light regimes (250, 500, 1000 mu mol photons m(-2) s(-1)) were measured between 0800 and 1900 h from 18 August to 7 September 1992. A completely randomized design, replicated twice, was used for the assignment of rain-by-ozone combinations (main plots). Foliage age classes were sub-plots within the main plots, temperature levels were sub-plots within foliage age classes, and light levels were sub-plots within temperature levels. Response surface models of A(n) response to temperature and light levels were constructed per rain-by-ozone combination for each foliage age. beta (Temp), beta (Temp2), beta (Light), A(n mean), A(n max), temperature at A(n max), and light at A(n max) were calculated or estimated. The effects of rain pH and ozone on these variables were then quantified using a two-way ANOVA. No significant rain-by-ozone or ozone effect was detected for any response. Rain of pH 3 decreased A(n mean) in current-year foliage only. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 01/12/20 alle ore 08:00:30