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Modeling acclimation of photosynthesis to temperature in evergreen conifer forests
Author(s) -
GeaIzquierdo Guillermo,
Mäkelä Annikki,
Margolis Hank,
Bergeron Yves,
Black T. Andrew,
Dunn Allison,
Hadley Julian,
Paw U Kyaw Tha,
Falk Matthias,
Wharton Sonia,
Monson Russell,
Hollinger David Y.,
Laurila Tuomas,
Aurela Mika,
McCaughey Harry,
Bourque Charles,
Vesala Timo,
Berninger Frank
Publication year - 2010
Publication title -
new phytologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.742
H-Index - 244
eISSN - 1469-8137
pISSN - 0028-646X
DOI - 10.1111/j.1469-8137.2010.03367.x
Subject(s) - photosynthesis , evergreen , acclimatization , canopy , photosynthetic capacity , taiga , atmospheric sciences , environmental science , temperate climate , ecosystem , ecology , evergreen forest , botany , biology , geology
Summary• In this study, we used a canopy photosynthesis model which describes changes in photosynthetic capacity with slow temperature‐dependent acclimations. • A flux‐partitioning algorithm was applied to fit the photosynthesis model to net ecosystem exchange data for 12 evergreen coniferous forests from northern temperate and boreal regions. • The model accounted for much of the variation in photosynthetic production, with modeling efficiencies (mean > 67%) similar to those of more complex models. The parameter describing the rate of acclimation was larger at the northern sites, leading to a slower acclimation of photosynthesis to temperature. The response of the rates of photosynthesis to air temperature in spring was delayed up to several days at the coldest sites. Overall photosynthesis acclimation processes were slower at colder, northern locations than at warmer, more southern, and more maritime sites. • Consequently, slow changes in photosynthetic capacity were essential to explaining variations of photosynthesis for colder boreal forests (i.e. where acclimation of photosynthesis to temperature was slower), whereas the importance of these processes was minor in warmer conifer evergreen forests.