Climate refugia: joint inference from fossil records, species distribution models and phylogeography

DG Gavin, MC Fitzpatrick, PF Gugger… - New …, 2014 - Wiley Online Library
Climate refugia, locations where taxa survive periods of regionally adverse climate, are
thought to be critical for maintaining biodiversity through the glacial–interglacial climate …

There is plenty of room at the bottom: microclimates drive insect vulnerability to climate change

S Pincebourde, HA Woods - Current Opinion in Insect Science, 2020 - Elsevier
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 …

A generative deep learning approach to stochastic downscaling of precipitation forecasts

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 …

[PDF][PDF] Development of gridded surface meteorological data for ecological applications and modelling

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 …

Incorporating microclimate into species distribution models

JJ Lembrechts, I Nijs, J Lenoir - Ecography, 2019 - Wiley Online Library
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 …

Comparing temperature data sources for use in species distribution models: From in‐situ logging to remote sensing

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 …

[HTML][HTML] The delayed effect of wildfire season particulate matter on subsequent influenza season in a mountain west region of the USA

EL Landguth, ZA Holden, J Graham, B Stark… - Environment …, 2020 - Elsevier
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 …

Rain or snow: hydrologic processes, observations, prediction, and research needs

AA Harpold, ML Kaplan, PZ Klos, T Link… - Hydrology and Earth …, 2017 - hess.copernicus.org
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 …

Creating a topoclimatic daily air temperature dataset for the conterminous United States using homogenized station data and remotely sensed land skin temperature

JW Oyler, A Ballantyne, K Jencso… - International Journal …, 2015 - Wiley Online Library
Gridded topoclimatic datasets are increasingly used to drive many ecological and
hydrological models and assess climate change impacts. The use of such datasets is …

Deep-learning-based gridded downscaling of surface meteorological variables in complex terrain. Part I: Daily maximum and minimum 2-m temperature

Y Sha, DJ Gagne II, G West… - Journal of Applied …, 2020 - journals.ametsoc.org
Many statistical downscaling methods require observational inputs and expert knowledge
and thus cannot be generalized well across different regions. Convolutional neural networks …