Highlights•We provide a simple method to determine the microscale pertinent to small insects.•Fine-scale microclimates can differ from local microclimates that are widely …
L Harris, ATT McRae, M Chantry… - Journal of Advances …, 2022 - Wiley Online Library
Despite continuous improvements, precipitation forecasts are still not as accurate and reliable as those of other meteorological variables. A major contributing factor to this is that …
JT Abatzoglou - International journal of climatology, 2013 - researchgate.net
Landscape-scale ecological modelling has been hindered by suitable high-resolution surface meteorological datasets. To overcome these limitations, desirable spatial attributes …
Species distribution models (SDMs) have rapidly evolved into one of the most widely used tools to answer a broad range of ecological questions, from the effects of climate change to …
JJ Lembrechts, J Lenoir, N Roth… - Global Ecology and …, 2019 - Wiley Online Library
Aim Although species distribution models (SDMs) traditionally link species occurrences to free‐air temperature data at coarse spatio‐temporal resolution, the distribution of organisms …
Particularly in rural settings, there has been little research regarding the health impacts of fine particulate matter (PM 2.5) during the wildfire season smoke exposure period on …
The phase of precipitation when it reaches the ground is a first-order driver of hydrologic processes in a watershed. The presence of snow, rain, or mixed-phase precipitation affects …
Gridded topoclimatic datasets are increasingly used to drive many ecological and hydrological models and assess climate change impacts. The use of such datasets is …
Many statistical downscaling methods require observational inputs and expert knowledge and thus cannot be generalized well across different regions. Convolutional neural networks …