2018
DOI: 10.1016/j.scitotenv.2017.12.258
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Enhancing the WorldClim data set for national and regional applications

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Cited by 38 publications
(19 citation statements)
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“…In these catchments the soil P status appeared to have an influence on the catchment P loss (Bechmann et al, 2008). Thus changing rainfall patterns and rainfall intensity under climate change may affect rainfall erosivity and therefore particulate P mobilization and transfer to watercourses (Panagos et al, 2017;Poggio et al, 2018).…”
Section: Uncertain Impacts Of Weather and Climate Change On P Statusmentioning
confidence: 99%
“…In these catchments the soil P status appeared to have an influence on the catchment P loss (Bechmann et al, 2008). Thus changing rainfall patterns and rainfall intensity under climate change may affect rainfall erosivity and therefore particulate P mobilization and transfer to watercourses (Panagos et al, 2017;Poggio et al, 2018).…”
Section: Uncertain Impacts Of Weather and Climate Change On P Statusmentioning
confidence: 99%
“…In our case, a dataset of high spatial resolution (1/24°, ~ 4-km) monthly climate and climatic water balance for global terrestrial surfaces from 1958 to 2015 was used. This dataset, called "TerraClimate" [32,33], uses climatically aided interpolation, combining high spatial resolution climatological normals from the WorldClim dataset [34][35][36], with coarser resolution time-varying (i.e., monthly) data from other sources to produce a monthly dataset of rainfall, maximum and minimum temperature, evapotranspiration, wind speed and solar radiation [32,36]. These data provide important inputs for ecological and hydrological studies at global scales that require high spatial resolution and time-varying climate and climatic water balance data [35][36][37].…”
Section: Stations and Climatic Datamentioning
confidence: 99%
“…Modeling spatial distribution of individuals demonstrates the relationship between the presence of a particular species in the studied territory and the existing combination of bioclimatic factors. Modern geodata technologies and open data bases on bioclimatic parameters allow highly accurate prediction and mapping of the territories of distribution of biological objects, based on the knowledge of the limits of species' adaptability combined with spatial distribution of ecological factors of the environment (Panagos et al, 2017;Poggio et al, 2018). The following categories of reaction of insects to environmental changes are distingui-shed: change in range, number, phenology, voltinism (number of generations per season), morphology, physiology and behaviour (Musolin, 2007).…”
Section: Introductionmentioning
confidence: 99%