Citizen science is an increasingly acknowledged approach applied in many scientific
domains, and particularly within the environmental and ecological sciences, in which non …

Bayesian statistics is an approach to data analysis based on Bayes' theorem, where
available knowledge about parameters in a statistical model is updated with the information …

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 …

Occupancy modelling is a common approach to assess species distribution patterns, while
explicitly accounting for false absences in detection–nondetection data. Numerous …

Climate change, overfishing, marine pollution and other anthropogenic drivers threaten our
global oceans. More effective efforts are urgently required to improve the capacity of marine …

Data integration is a statistical modeling approach that incorporates multiple data sources
within a unified analytical framework. Macrosystems ecology–the study of ecological …

Despite conservation commitments, most countries still lack large-scale biodiversity
monitoring programs to track progress toward agreed targets. Monitoring program design is …

New technologies for monitoring biodiversity such as environmental (e) DNA, passive
acoustic monitoring, and optical sensors promise to generate automated spatiotemporal …

The current micro-teaching process is readily online, and it is functional anywhere and
anytime ubiquitously. All or most teaching and learning activities are accessible in …

One of the biggest trends in ecology over the past decade has been the creation of
standardized databases. Recently, this has included live data, formal linkages between …