2013
DOI: 10.3402/tellusb.v65i0.19156
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Modelling temperature acclimation effects on the carbon dynamics of forest ecosystems in the conterminous United States

Abstract: A B S T R A C TThe projected rise in temperature in the 21st century will alter forest ecosystem functioning and carbon dynamics. To date, the acclimation of plant photosynthesis to rising temperature has not been adequately considered in earth system models. Here we present a study on regional ecosystem carbon dynamics under future climate scenarios incorporating temperature acclimation effects into a large-scale ecosystem model, the terrestrial ecosystem model (TEM). We first incorporate a general formulatio… Show more

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Cited by 20 publications
(22 citation statements)
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“…Our results are in agreement with the modelling study by Chen & Zhuang () on forest ecosystems in the US. Using an adaptation of the KK07 algorithms in the terrestrial ecosystem model (TEM), which does not incorporate modifications of the J max to V cmax (J : V) ratio with T growth , these authors obtained increased C uptake in the temperate region but a decrease in the boreal region under future climate conditions.…”
Section: Discussionmentioning
confidence: 97%
“…Our results are in agreement with the modelling study by Chen & Zhuang () on forest ecosystems in the US. Using an adaptation of the KK07 algorithms in the terrestrial ecosystem model (TEM), which does not incorporate modifications of the J max to V cmax (J : V) ratio with T growth , these authors obtained increased C uptake in the temperate region but a decrease in the boreal region under future climate conditions.…”
Section: Discussionmentioning
confidence: 97%
“…Ziehn et al . ; Chen & Zhuang ; Wythers, Reich & Bradford ). While it may be appropriate to expect the Q 10 to decrease in relation to the measurement temperature within a given plant, or plants within a given climatic region (as originally suggested by Tjoelker, Oleksyn & Reich ), using this trend to estimate NPP of tropical vegetation in a global model, would result in considerable underestimation of Q 10 compared to our data.…”
Section: Discussionmentioning
confidence: 99%
“…Because Q 10 has been observed to decline with rising temperature interval over which R is measured (Tjoelker, Oleksyn & Reich 2001;Atkin & Tjoelker 2003), a negative temperature-dependent Q 10 has been incorporated in some global vegetation and ecosystem models (e.g. Ziehn et al 2011;Chen & Zhuang 2013;Wythers, Reich & Bradford 2013). While it may be appropriate to expect the Q 10 to decrease in relation to the measurement temperature within a given plant, or plants within a given climatic region (as originally suggested by Tjoelker, Oleksyn & Reich 2001), using this trend to estimate NPP of tropical vegetation in a global model, would result in considerable underestimation of Q 10 compared to our data.…”
Section: H I G H T E M P E R a T U R E S E N S I T I V I T Y O F R E mentioning
confidence: 99%
“…The structure of iTem combines the advantage of the Land Surface Model 1.0 (Bonan, 1996), the Terrestrial Ecosystem Model (TEM) (Raich et al, 1991;McGuire et al, 1992McGuire et al, , 1993Zhuang et al, 2003;Lu and Zhuang, 2010;Chen et al, 2011;Chen and Zhuang, 2012;Lu et al, 2013), and incorporates acclimating temperature response of key biogeochemical processes such as photosynthesis and plant respiration (Kattge and Knorr, 2007;Ziehn et al, 2011;Chen and Zhuang, 2013). In iTem, the canopy is particularly modelled in a one-layer, two-big-leaf approach (Dai et al, 2004), which diagnoses energy budget, leaf temperature and photosynthesis separately for sunlit and shaded leaves.…”
Section: Terrestrial Ecosystem Modulementioning
confidence: 99%