The ‘sites’ files contain the site data used for the interpolations (Table5). This includes the following summary statistics for each site: median (used for the interpolations), number of dates with data, total number of records included, mean, standard deviation, minimum, maximum, 25thperce...
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The weeding and thinning effect tests used the residual error for the denominator of their F-statistics, whereas the F-statistics for the planting effect were tested against the nested effect of installations within planting density. The installation effect was declared as random, while planting, ...
According to the statistics of the Intergovernmental Panel on Climate Change (IPCC) on meteorological observation data in the world in the last hundred years from 1906 to 2005, the global average surface temperature (SAT) increased by 0.74 °C. At the end of this century, the global average ...
The influence of time, storage temperature, and substrate age on potential soil enzyme activity in acidic forest soils using MUB-linked substrates and L-DOPA. Soil Biol Biochem. 2009, 41, 1180–1186. [Google Scholar] [CrossRef] Cui, Y.; Wang, X.; Zhang, X.; Ju, W.; Duan, C.; ...
Map was generated via Excel (2023) of Microsoft Office 365 (© Australian Bureau of Statistics, GeoNames, Microsoft, Navinfo, Open Places, OpenStreetMap, TomTom, and Zenrin), powered by Bing. Table 1. The detailed classification of experts interviewed. 2.2. Interview Procedures An initial...
Figure 1.(A) Forest ecozone map for Canada showing the eight operational fire regions selected for the study. Four are located in the province of Alberta and four in Ontario. Close up of Alberta (B) and Ontario (C) regions showing all spring fires and location of weather stations used in...
Damage to buildings and infrastructure: This module generates a map of the estimated damage to each building during a given flood event. Figure 3 represents the flood risk map (combining hazard and vulnerability) simulated by the GARI tool for the municipality of Saint-André-Avellin, for a max...
Only two principal components could explain 94.7% of the total variance in the dataset (Figure 4), with corresponding regional summary statistics shown in Table 2. The first principal component (PC1) represents climate variables related to precipitation (TD, MAP, AHM, and SHM), indicated with ...