In nature conservation, there is keen interest in predicting how populations will respond to
environmental changes such as climate change. These predictions can help determine …

Global climate change is leading to rapid and drastic shifts in environmental conditions,
posing threats to biodiversity and nearly all life forms worldwide. Forest trees serve as …

Methods using genomic information to forecast potential population maladaptation to climate
change or new environments are becoming increasingly common, yet the lack of model …

Gradient Forests (GF) is a machine learning algorithm that is gaining in popularity for
studying the environmental drivers of genomic variation and for incorporating genomic …

Many plant species are being threatened by increasingly drought conditions due to current
climate change at planetary scale. This global trend is leading to the scientific community to …

Background Local adaptation is a key evolutionary process that enhances the growth of
plants in their native habitat compared to non-native habitats, resulting in patterns of …

Understanding landscape connectivity has become a global priority for mitigating the impact
of landscape fragmentation on biodiversity. Connectivity methods that use link‐based …

Overgeneralization and a lack of baseline data for microorganisms in high‐latitude
environments have restricted the understanding of the microbial response to climate …

Cork oak woodlands are socio-ecosystems recognized as biodiversity hotspots, a
fundamental economic source for companies and local communities as well as an …

In Mediterranean climate regions, climate change is increasing aridity and contributing to the
mortality rate of Quercus suber, reducing the success of reforestation efforts. Using and …