2016
DOI: 10.1007/s40808-016-0099-5
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Abstract: Vc max is the rate of maximum velocity of carboxylation of plants and is considered one of the most critical parameters for changes in vegetation in face of global changes and it has a direct impact on gross primary productivity. Physiological processes are considered the main sources of uncertainties in dynamic global vegetation models (DGVMs). The Caatinga biome, in the semiarid region of northeastern Brazil, is extremely important due to its biodiversity and endemism. In a field work realized in an area of … Show more

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Cited by 5 publications
(4 citation statements)
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“…We also demonstrate that PFTs designed for use in global models can exhibit biases when used in regional scale simulations while region‐specific PFTs can reduce these biases by better representing the traits of vegetation on the landscape (Epstein et al., 2001; Harper et al., 2018; Peng et al., 2014; Rezende et al., 2016; Rogers, 2014; Wullschleger et al., 2014). The five additional PFTs in this study address significant sources of bias in AGB and GPP.…”
Section: Discussionmentioning
confidence: 86%
See 1 more Smart Citation
“…We also demonstrate that PFTs designed for use in global models can exhibit biases when used in regional scale simulations while region‐specific PFTs can reduce these biases by better representing the traits of vegetation on the landscape (Epstein et al., 2001; Harper et al., 2018; Peng et al., 2014; Rezende et al., 2016; Rogers, 2014; Wullschleger et al., 2014). The five additional PFTs in this study address significant sources of bias in AGB and GPP.…”
Section: Discussionmentioning
confidence: 86%
“…Box, 1996; Melton et al., 2020; Wullschleger et al., 2014). Region‐specific PFTs can enhance model realism, more accurately represent the diversity of vegetation on the landscape, and include more informed parameterizations that act to reduce regional biases (Curasi et al., 2022; Epstein et al., 2001; Mekonnen et al., 2021; Meyer et al., 2021; Peng et al., 2014; Rezende et al., 2016; Rogers, 2014). For these region‐specific PFTs to improve model performance and robustness they require sufficient data or expert knowledge to inform their parameterization and specify their distribution.…”
Section: Introductionmentioning
confidence: 99%
“…We also demonstrate that PFTs designed for use in global models can exhibit biases when used in regional scale simulations while region-specific PFTs can reduce these biases by better representing the traits of vegetation on the landscape (Epstein et al, 2001;Harper et al, 2018;Peng et al, 2014;Rezende et al, 2016;Rogers, 2014;Wullschleger et al, 2014). The five additional PFTs in this study address significant sources of bias in AGB and GPP.…”
Section: Region-specific Pfts Improve the Representation Of C Cycle P...mentioning
confidence: 79%
“…Moreover, the PFTs used in LSMs have historically been developed to represent global patterns of vegetation and their associated traits (Bonan et al, 2002;Box, 1996;Melton et al, 2020;Wullschleger et al, 2014). Region-specific PFTs can enhance model realism, more accurately represent the diversity of vegetation on the landscape, and include more informed parameterizations that act to reduce regional biases (Curasi et al, 2022;Epstein et al, 2001;Mekonnen et al, 2021;Meyer et al, 2021;Peng et al, 2014;Rezende et al, 2016;Rogers, 2014). For these region-specific PFTs to improve model performance and robustness they require sufficient data or expert knowledge to inform their parameterization and specify their distribution.…”
Section: Introductionmentioning
confidence: 99%