Deep learning is driving recent advances behind many everyday technologies, including
speech and image recognition, natural language processing and autonomous driving. It is …

Passiflora is a highly diverse genus where taxonomic lack of consensus remains. This may
be the reason why numerous studies do not specify to the infraspecific level the plant …

Spatial patterns of biodiversity are inextricably linked to their collection methods, yet no
synthesis of bias patterns or their consequences exists. As such, views of organismal …

The use of correlative ecological niche models has highly increased in the last decade.
Despite all literature and textbooks in this field, few practical guidelines exist on the correct …

The accessibility of global biodiversity information has surged in the past two decades,
notably through widespread funding initiatives for museum specimen digitization and …

Wild and managed bees are key pollinators, ensuring or enhancing the reproduction of a
large fraction of the world's wild flowering plants and the yield of∼ 85% of all cultivated …

There is increasing availability and use of unstructured and semi‐structured citizen science
data in biodiversity research and conservation. This expansion of a rich source of 'big …

Joint species distribution modelling (JSDM) is a fast-developing field and promises to
revolutionise how data on ecological communities are analysed and interpreted. Written for …

Natural history collections (NHCs) are the foundation of historical baselines for assessing
anthropogenic impacts on biodiversity. Along these lines, the online mobilization of …

To meet collective obligations towards biodiversity conservation and monitoring, it is
essential that the world's governments and non-governmental organisations as well as the …