Outstanding challenges in the transferability of ecological models
Predictive models are central to many scientific disciplines and vital for informing
management in a rapidly changing world. However, limited understanding of the accuracy …
management in a rapidly changing world. However, limited understanding of the accuracy …
A practical guide for combining data to model species distributions
Understanding and accurately modeling species distributions lies at the heart of many
problems in ecology, evolution, and conservation. Multiple sources of data are increasingly …
problems in ecology, evolution, and conservation. Multiple sources of data are increasingly …
The recent past and promising future for data integration methods to estimate species' distributions
With the advance of methods for estimating species distribution models has come an interest
in how to best combine datasets to improve estimates of species distributions. This has …
in how to best combine datasets to improve estimates of species distributions. This has …
Addressing data integration challenges to link ecological processes across scales
Data integration is a statistical modeling approach that incorporates multiple data sources
within a unified analytical framework. Macrosystems ecology–the study of ecological …
within a unified analytical framework. Macrosystems ecology–the study of ecological …
Synthesizing multiple data types for biological conservation using integrated population models
Assessing the impacts of ongoing climate and anthropogenic-induced change on wildlife
populations requires understanding species distributions and abundances across large …
populations requires understanding species distributions and abundances across large …
Scale-sensitivity in the measurement and interpretation of environmental niches
Species environmental niches are central to ecology, evolution, and global change
research, but their characterization and interpretation depend on the spatial scale …
research, but their characterization and interpretation depend on the spatial scale …
Integrated species distribution models: combining presence‐background data and site‐occupancy data with imperfect detection
Two main sources of data for species distribution models (SDMs) are site‐occupancy (SO)
data from planned surveys, and presence‐background (PB) data from opportunistic surveys …
data from planned surveys, and presence‐background (PB) data from opportunistic surveys …
Data integration methods to account for spatial niche truncation effects in regional projections of species distribution
Many species distribution models (SDMs) are built with precise but geographically restricted
presence–absence data sets (eg, a country) where only a subset of the environmental …
presence–absence data sets (eg, a country) where only a subset of the environmental …
Novel methods to correct for observer and sampling bias in presence‐only species distribution models
Aim While species distribution models (SDMs) are standard tools to predict species
distributions, they can suffer from observation and sampling biases, particularly presence …
distributions, they can suffer from observation and sampling biases, particularly presence …
Can opportunistically collected Citizen Science data fill a data gap for habitat suitability models of less common species?
Opportunistically collected species observations contributed by volunteer reporters are
increasingly available for species and regions for which systematically collected data are not …
increasingly available for species and regions for which systematically collected data are not …