Forest microclimates contrast strongly with the climate outside forests. To fully understand
and better predict how forests' biodiversity and functions relate to climate and climate …

Presence‐only data are widely used for species distribution modelling, and point process
regression models are a flexible tool that has considerable potential for this problem, when …

Species distributions are conventionally modelled using coarse‐grained macroclimate data
measured in open areas, potentially leading to biased predictions since most terrestrial …

Forest canopies buffer climate extremes and promote microclimates that may function as
refugia for understory species under changing climate. However, the biophysical conditions …

Climate measurements are needed at a scale at which organisms live and die. Currently
available climate sensors, however, are not well suited for long-term field measurements at …

The role of modern climatic microrefugia is a neglected aspect in the study of biotic
responses to anthropogenic climate change. Current projections of species redistribution at …

Current analyses and predictions of spatially explicit patterns and processes in ecology most
often rely on climate data interpolated from standardized weather stations. This interpolated …

Most ecological studies of the effects of climate on species are based on average conditions
above ground level (measured by meteorological stations) averaged across 100 km 2 or …

Climate change is leading to widespread elevational shifts thought to increase species
extinction risk in mountains. We integrate digital elevation models with a metric of human …

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 …