acclimation
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This dataset includes key photosynthesis and respiration data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. Raw A-Ci data, the Vcmax (carboxylation of RuBP by the enzyme Rubisco) and Jmax (the regeneration of RuBP by the electron transport chain) values estimated from this data, and Rdark (leaf dark respiration) values collected using spot measurements, are all available, along with variables such as leaf temperature (°C), relative humidity (%) and pressure values (kPa) returned by the LI-6800 portable photosynthesis system. Full details about this dataset can be found at https://doi.org/10.5285/60dd0b8f-f0c3-4e30-841b-1c2067052974
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A dataset of acclimation potential of terrestrial, freshwater and marine ectotherms across latitudes collected from the literature spanning the time period 1960 to 2015 with the aim to test the importance of physiological acclimation as a mechanism to buffer species against climate warming. The projected rate of environmental warming is used to calculate how many years and generations acclimation capacity will afford each species before it will exceed its thermal maximum. Acclimation capacity, generation time, latitudinal range extent and projected rate of warming are then combined into an index of vulnerability. This data together with critical thermal maxima of the ectotherms are presented here.
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This dataset has been superseded by the dataset https://doi.org/10.5285/20010bfb-c6d3-430f-b1f7-d16790ab8359. A dataset of acclimation potential of terrestrial, freshwater and marine ectotherms across latitudes collected from the literature spanning the time period 1960 to 2015 with the aim to test the importance of physiological acclimation as a mechanism to buffer species against climate warming. The projected rate of environmental warming is used to calculate how many years and generations acclimation capacity will afford each species before it will exceed its thermal maximum. Acclimation capacity, generation time, latitudinal range extent and projected rate of warming are then combined into an index of vulnerability. This data together with critical thermal maxima of the ectotherms are presented here.