Random forest (RF) and MaxEnt models are shallow machine learning approaches that
perform well in predicting species' potential distributions. RF models can produce robust …

Climate change can affect species distribution patterns in three different ways: pushing them
to disperse to new suitable areas, forcing them to adapt to novel climatic conditions, or …

Stone pine (Pinus pinea L.) has been cultivated since centuries in Mediterranean areas for
its products and economic benefits, including edible pine nuts, timber, mushrooms, firewood …

Climate and land-use change are major drivers of biodiversity loss, but their combined
effects are still unclear. Reforestation may compensate or reduce climate change impacts on …

Climate change has negative effects on especially plant species that have a limited habitat.
In this context, the stone pine (Pinus pinea L.), which has a limited distribution, is prominent …

Amphibians are a valuable indicator group to study potential impacts of climate change (CC)
because reproduction is closely linked to the availability of freshwater. Climate projections …

Climate datagaps are a major challenge for understanding the impacts of climate change on
ecosystems, particularly in highly climate vulnerable countries such as Nigeria. The …

There has been a recent increase in the occurrence and proliferation of alien fish species in
rivers, lakes, and reservoirs of Malaysia, posing a significant risk to native biodiversity. This …

Se desarrolló un estudio para determinar la composición de anfibios y reptiles del área rural
del municipio de Dibulla, La Guajira, asociados a cinco coberturas de la tierra con …

Simple Summary Biodiversity conservation under global climate change is a global
challenge. Many wildlife species are altering their distributions to adapt to the changes in …