Abstract The Big Five is often represented as an effective taxonomy of psychological traits,
yet little research has empirically examined whether stand-alone assessments of …

Spatial Data Science introduces fundamental aspects of spatial data that every data scientist
should know before they start working with spatial data. These aspects include how …

Coastal wetlands are a critical component of the coastal landscape that are increasingly
threatened by sea level rise and other human disturbance. Periodically mapping wetland …

Abstract Background and Aims Leaf size has considerable ecological relevance, making it
desirable to obtain leaf size estimations for as many species worldwide as possible. Current …

Competition plays a central role in the maintenance of biodiversity. A backbone of classic
niche theory is that local coexistence of competitors is favoured by the contraction or …

Spatial data is crucial to improve decision-making in a wide range of fields including
environment, health, ecology, urban planning, economy, and society. Spatial Statistics for …

Soil presents a high vulnerability to the environmental degradation processes especially in
arid and semiarid regions, requiring research that leads to its understanding. To date, there …

A good knowledge of the spatiotemporal patterns of the causes of wildfire ignition is crucial
to an effective fire policy. However, little is known about the situation in south-eastern France …

Fluvial environments represent complex human-water systems, as floodplains have always
been among the most suitable environments for human subsistence. In this paper, we …

Pine wilt disease (PWD) is one of the most serious conifer diseases, with further expansion
expected under ongoing climate change. Sustainable forest management and effective pest …