Biodiversity underlies ecosystem resilience, ecosystem function, sustainable economies,
and human well‐being. Understanding how biodiversity sustains ecosystems under …

Bats are an ecologically and taxonomically diverse group accounting for roughly a fifth of
mammalian diversity worldwide. Many of the threats bats face (eg, habitat loss, bushmeat …

Understanding how species respond to climate change is key to informing vulnerability
assessments and designing effective conservation strategies, yet research efforts on wildlife …

Local adaptations can determine the potential of populations to respond to environmental
changes, yet adaptive genetic variation is commonly ignored in models forecasting species …

Climate change is a threat to biodiversity. One way that this threat manifests is through
pronounced shifts in the geographical range of species over time. To predict these shifts …

Global climate change (GCC) increasingly threatens biodiversity through the loss of species,
and the transformation of entire ecosystems. Many species are challenged by the pace of …

Ecological niche models (ENMs) is a popular method in ecology, mostly due to its broad
applicability and the fact that required data is simple and easily accessible from digital …

The conservation field is experiencing a rapid increase in the amount, variety, and quality of
spatial data that can help us understand species movement and landscape connectivity …

Gradient Forest (GF) is a machine learning algorithm designed to analyze spatial patterns of
biodiversity as a function of environmental gradients. An offset measure between the GF …

Population genomics is advancing our understanding of evolution, ecology, conservation,
agriculture, forestry, and human health by allowing new and long-standing questions to be …