Drought is the most widespread climatic extreme that has negative impacts on ecohydrology. Studies have shown drought can cause certain degrees of disturbances to different ecohydrological variables, but duration and severity thresholds are sufficient changes in variables remain largely unknown. At same time, we should not ignore dynamic variation drought’s effect under condition climate change...

Aim When precise coordinate data for training species distribution models (SDMs) are lacking, climatic variables are often assigned to centroids of geopolitically defined regions, frequently counties. This is problematic because approximations using centroids may not be representative of the regional climate or the locality from where species actually occur, thus leading to spurious conclusions...

Rapid climate change has the potential to affect economic, social, and biological systems. A concern for species conservation is whether or not the rate of on-going climate change will exceed the rate at which species can adapt or move to suitable environments. Here we assess the climate velocity (both climate displacement rate and direction) for minimum temperature, actual evapotranspiration, ...

2 1 Abstract 2 3 Insight is provided into the use of objective Bayesian methods for estimating 4 climate sensitivity by considering their relationship to transformations of variables in the 5 context of a simple case considered in a previous study, and some misunderstandings 6 about Bayesian inference are discussed. A simple model in which climate sensitivity (S) 7 and effective ocean heat diff...

Predicting wildfire under future conditions is complicated by complex interrelated drivers operating across large spatial scales. Annual area burned (AAB) is a useful index of global wildfire activity. Current and antecedent seasonal climatic conditions, and the timing of snowpack melt, have been suggested as important drivers of AAB. As climate warms, seasonal climate and snowpack co-vary in i...

Classifying the land surface according to different climate zones is often a prerequisite for global diagnostic or predictive modelling studies. Classical classifications such as the prominent Köppen–Geiger (KG) approach rely on heuristic decision rules. Although these heuristics may transport some process understanding, such a discretization may appear “arbitrary” from a data oriented perspect...

The need for rigorous analyses of climate impacts has never been more crucial. Current textbooks state that climate directly influences ecosystem annual net primary productivity (NPP), emphasizing the urgent need to monitor the impacts of climate change. A recent paper challenged this consensus, arguing, based on an analysis of NPP for 1247 woody plant communities across global climate gradient...