Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/17923
Título: Measuring the impact of flooding on Amazonian trees: Photosynthetic response models for ten species flooded by hydroelectric dams
Autor: Santos Junior, Ulysses Moreira dos
Gonçalves, José Francisco de Carvalho
Fearnside, Philip Martin
Palavras-chave: Amazonian Forests
Convexity Term
Dam Construction
Dark Respiration
Empirical Model
Flood-plains
Flooded Areas
Hydroelectric Dams
Model Estimates
Photosynthetic Response
Physiological Response
Response Curves
Tropical Tree
Tropical Tree Species
Carbon
Curve Fitting
Estimation
Forestry
Global Warming
Hydroelectric Power Plants
Photosynthesis
Quantum Yield
Rivers
Floods
Carbon
Forestry
Hydroelectric Power
Photosynthesis
Respiration
Rivers
Data do documento: 2013
Revista: Trees - Structure and Function
É parte de: Volume 27, Número 1, Pags. 193-210
Abstract: Increasing areas of Amazonian forest are coming under flood stress due to dam construction and greater variability in river flood levels due to climate change. The physiological responses of Amazonian trees subjected to flooding are important to understand the consequences of these changes. Irradiance response curves for photosynthesis obtained from ten tropical tree species growing in flooded areas were used to fit three empirical models. The study was done in floodplains along the Uatumã River, both upstream and downstream of the Balbina Hydroelectric Dam in Brazil's state of Amazonas (01°55′S; 59°28′W). Ten species were studied. Models compared were: non-rectangular hyperbola, rectangular hyperbola, and exponential. All models were quantitatively adequate for fitting the response of measured data on photosynthesis to irradiance for all ten species in the non-flooding and flooding periods. Considerable variation was found among the model estimates of maximum photosynthesis (Pnmax), dark respiration (Rd) and apparent quantum yield of photosynthesis (α). For photosynthesis, the two hyperbolas overestimated Pnmax while EXP presented more realistic values. For estimating Rd, RH presented the most realistic values. To avoid unrealistic value estimates of Rd, we recommend adding measured Rd values to the regressions. The results suggest that the EXP model presented the most realistic Pnmax and α values, and, in spite of less accuracy in fitting photosynthetic irradiance curves than the RH model, it can be recommended for accessing the information used in photosynthetic irradiance curves for the leaves of tropical trees growing in Amazonian floodplains or in areas that are artificially flooded by dams. © 2012 Springer-Verlag Berlin Heidelberg.
DOI: 10.1007/s00468-012-0788-2
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