Abstract Machine learning (ML) models are a leading analytical technique used to monitor,
map and quantify land use and land cover (LULC) and its change over time. Models such as …

Floodplains provide essential ecosystem functions, yet> 80% of European and North
American floodplains are substantially modified. Despite floodplain changes over the past …

Reliable information plays a pivotal role in sustainable urban planning. With advancements
in computer technology, geoinformatics tools enable accurate identification of land use and …

Comparisons of mammalian gut microbiota across different environmental conditions shed
light on the diversity and composition of gut bacteriome and suggest consequences for …

Successful conservation requires that we identify factors affecting species co-occurrence in
the wild and understanding the consequence for wildlife management. We investigated …

Le territoire du Cameroun est connu pour sa richesse en ressources naturelles biologiques,
ou biodiversité. Avant l'indépendance, afin de préserver les essences forestières …

The bonobo (Pan paniscus), which was classified by the IUCN Red List as Endangered in
2007 (Fruth et al. 2016), remains highly threatened across its range in the Democratic …

Despite significant efforts to democratize artificial intelligence (AI), computer vision which is
a sub-field of AI, still lags in Africa. A significant factor to this, is the limited access to …

As a result of extensive data collection efforts over the last 20–30 years, there is quite a good
understanding of the large‐scale geographic distribution and range limits of African great …

Introduction National parks, defined as the mainstay of the nature reserve system in China,
pursue to achieve scientific protection and rational utilization of natural resources. However …