Data for: Local biophysical effects of land use and land cover change: towards an assessment tool for policy makers
Description
Potential change in near surface air temperature (T2M in the paper but here labelled as AST), daytime land surface temperature (LST_day) and nighttime land surface temperature (LST_night) following a specific potential land use or land cover transition across different climate zones. The data is structured following a Tiered system as explained in the paper. Tier 1 corresponds to broader transitions and values are averaged across climate zones over the entire globe. Tier 2 corresponds to finer transitions and values are averaged across climate zones but also for different sub-continental regions. The additional permutations of T1 classes for the T2 sub-continental regions are also available and labelled T1*, as are T2 classes across the entire globe that are labelled T2*. The table contains 9 columns: (1) the name of the transition [Transition], (2) the climate zone [CZ], (3) the code of the sub-continental region [ZONE], (4) the number of (weighted) samples used for each estimation [N.w], (5) the average change in air temperature [Delta_T.mu], (6) the standard deviation in air temperature [Delta_T.sd], (7) the (weighted) standard error around the mean [Delta_T.se], (8) the tier level (T1, T2, T1*, T2*) [Tier], and (9) the variable in question (AST, LST_day or LST_night) [Var]. For more information, refer to the paper.