Relationships between photosystem II efficiency and photochemical reflectance index under different levels of illumination: comparison among species grown at high- and low elevations through different seasons |
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Authors: | Jen-Hsien Weng Shau-Lian Wong Kuan-Ming Lai Rong-Jhih Lin |
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Affiliation: | (1) Graduate Institute of Ecology and Evolutionary Biology, China Medical University, Taichung, Taiwan;(2) Department of Life Science, National Chung-Hsing University, Taichung, Taiwan;(3) Division of Botany, Endemic Species Research Institute, Nantou, Taiwan |
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Abstract: | ![]() Previously, we found a significant association between photosystem II efficiency (ΦPSII) and photochemical reflectance index (PRI) measured at predawn among different species at different elevations and throughout several seasons. However, this relationship has not been evaluated under varied levels of illumination. Here, we used the Taiwan species Pinus taiwanensis (a conifer distributed at 750–3,000 m a.s.l.), Stranvaesia niitakayamensis (an evergreen tree, 1,700–3,100 m) and two Miscanthus spp. (perennial C4 Gramineae, coastline–3,200 m) to elucidate the ΦPSII–PRI relationship. We studied six levels of photosynthetic photon flux density (PPFD) (0, 200, 400, 800, 1,200 and 2,000 μmol m−2 s−1) over several growth seasons at high (2,600 m a.s.l.) and low (800 m a.s.l.) elevation sites. In comparing the same species or genus, ΦPSII and PRI were closely correlated in darkness or under the same level of PPFD, with data obtained from different seasons and elevations pooled for regression analysis. Because both the intercept and slope of the ΦPSII–PRI equation showed a negative curvilinear correlation with PPFD, we could fit an empirical regression model, ΦPSII = c + d·ln(PPFD) + e·[ln(PPFD)]2 + f·PRI + g·PRI·ln(PPFD) + h·PRI·[ln(PPFD)]2, for multiple regression analysis. Using this model, we found a close correlation between the estimated and measured ΦPSII (r 2 = 0.842−0.937, P < 0.001) for all four species examined and for mango (Mangifera indica) measured under both artificial illumination and sunlight (data from Weng et al. 2010). This empirical regression model could simulate both seasonal and diurnal variations of leaf-scale photosynthetic efficiency at high and low elevations. |
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