Incorporating effects of habitat patches into species distribution models
Species distribution models (SDMs) are algorithms designed to infer the distribution of
species using environmental and biotic variables and have become an important tool for …
species using environmental and biotic variables and have become an important tool for …
Treating gaps and biases in biodiversity data as a missing data problem
Big biodiversity data sets have great potential for monitoring and research because of their
large taxonomic, geographic and temporal scope. Such data sets have become especially …
large taxonomic, geographic and temporal scope. Such data sets have become especially …
Citizen science plant observations encode global trait patterns
Global maps of plant functional traits are essential for studying the dynamics of the terrestrial
biosphere, yet the spatial distribution of trait measurements remains sparse. With the …
biosphere, yet the spatial distribution of trait measurements remains sparse. With the …
A double machine learning trend model for citizen science data
Citizen and community science datasets are typically collected using flexible protocols.
These protocols enable large volumes of data to be collected globally every year; however …
These protocols enable large volumes of data to be collected globally every year; however …
Identifying the most probable mammal reservoir hosts for monkeypox virus based on ecological niche comparisons
Previous human cases or epidemics have suggested that Monkeypox virus (MPXV) can be
transmitted through contact with animals of African rainforests. Although MPXV has been …
transmitted through contact with animals of African rainforests. Although MPXV has been …
Adaptive sampling by citizen scientists improves species distribution model performance: A simulation study
Volunteer recorders generate large amounts of biodiversity data through citizen science
which is used in conservation planning and policy decision‐making. Unstructured sampling …
which is used in conservation planning and policy decision‐making. Unstructured sampling …
Estimating sampling biases in citizen science datasets
The rise of citizen science (also called community science) has led to vast quantities of
species observation data collected by members of the public. Citizen science data tend to be …
species observation data collected by members of the public. Citizen science data tend to be …
Potential Distribution and Suitable Habitat for Chestnut (Castanea sativa)
Chestnut, Castanea sativa Miller (Fagales: Fagaceae), is an ecologically and economically
important tree species of the forest ecosystem in Southern Europe, North-Western Europe …
important tree species of the forest ecosystem in Southern Europe, North-Western Europe …
Strengths and limitations of using participatory science data to characterize a wildlife mass mortality event
Participatory science (ie,“community science” or “citizen science”) platforms are increasingly
used at every level of ecological and conservation research, including disease monitoring …
used at every level of ecological and conservation research, including disease monitoring …
Rodent trap** studies as an overlooked information source for understanding endemic and novel zoonotic spillover
Rodents, a diverse, globally distributed and ecologically important order of mammals are
nevertheless important reservoirs of known and novel zoonotic pathogens. Ongoing …
nevertheless important reservoirs of known and novel zoonotic pathogens. Ongoing …