The discipline of plant pathology has an expanding remit requiring a multi-faceted,
interdisciplinary approach to capture the complexity of interactions for any given disease …

The development and uptake of citizen science and artificial intelligence (AI) techniques for
ecological monitoring is increasing rapidly. Citizen science and AI allow scientists to create …

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 …

Large‐scale biodiversity databases have great potential for quantifying long‐term trends of
species, but they also bring many methodological challenges. Spatial bias of species …

Overexploitation is a key driver of biodiversity loss but the relationship between the use and
trade of species and conservation outcomes is not always straightforward. Accurately …

Protected areas are central in strategies to conserve biodiversity. Effective area-based
conservation relies on biodiversity data, but the current biodiversity knowledge base is …

Opportunistically collected species occurrence data are often used for species distribution
models (SDMs) when high-quality data collected through standardized recording protocols …

Unsustainable hunting is one of the leading drivers of global biodiversity loss, yet very few
direct measures exist due to the difficulty in monitoring this cryptic activity. Where guns are …

Abstract The Post-2020 Global Biodiversity Framework currently is under development as
part of the Convention of Biodiversity's aim to prevent global biodiversity losses by 2050, but …

The early detection of plant pests and diseases is vital to the success of any eradication or
control programme, but the resources for surveillance are often limited. Plant health …