Essential biodiversity variables for mapping and monitoring species populations

  title={Essential biodiversity variables for mapping and monitoring species populations},
  author={Walter Jetz and Melodie A. McGeoch and Robert P. Guralnick and Simon Ferrier and Jan Beck and Mark John Costello and Miguel Fern{\'a}ndez and Gary N. Geller and Petr Keil and Cory Merow and Carsten Meyer and Frank E. Muller‐Karger and Henrique Miguel Pereira and Eugenie C Regan and Dirk S. Schmeller and Eren Turak},
  journal={Nature Ecology \& Evolution},
Species distributions and abundances are undergoing rapid changes worldwide. This highlights the significance of reliable, integrated information for guiding and assessing actions and policies aimed at managing and sustaining the many functions and benefits of species. Here we synthesize the types of data and approaches that are required to achieve such an integration and conceptualize ‘essential biodiversity variables’ (EBVs) for a unified global capture of species populations in space and… 
Remotely Sensed Variables of Ecosystem Functioning Support Robust Predictions of Abundance Patterns for Rare Species
This study underlines the potential of EFAs as robust predictors of biodiversity change through population size trends and suggests the combination of EFA-based SAMs and SDMs would provide an essential toolkit for species monitoring programs.
Global and national trends in documenting and monitoring species distributions
This work analyzes national trajectories in closing spatiotemporal knowledge gaps for terrestrial vertebrates (1950-2019) based on novel indicators of data coverage and sampling effectiveness to highlight opportunities for international collaboration to close critical information gaps.
GreenMaps: a Tool for Addressing the Wallacean Shortfall in the Global Distribution of Plants
  • B. Daru
  • Environmental Science
  • 2020
GreenMaps is a new tool that will permit a rapid initial assessment of the Wallacean shortfall for plants by building base maps of species’ predicted distributions upon which citizen science participation could contribute to spatial validation of the actual range occupied by species.
Global and national trends, gaps, and opportunities in documenting and monitoring species distributions
Novel indicators of biodiversity data coverage and sampling effectiveness are proposed and national trajectories in closing spatiotemporal knowledge gaps for terrestrial vertebrates (1950 to 2019) are analyzed to highlight opportunities for international collaboration to close critical information gaps.
Practical Considerations for Implementing Species Distribution Essential Biodiversity Variables
  • R. Boyd, N. Isaac, D. Roy
  • Environmental Science
    Biodiversity Information Science and Standards
  • 2021
Species Distribution Essential Biodiversity Variables (SD EBVs; Pereira et al. 2013, Kissling et al. 2017, Jetz et al. 2019) are defined as measurements or estimates of species’ occupancy along the
Identifying key biodiversity areas as marine conservation priorities in the greater Caribbean
Increasing rates of Anthropocene biodiversity extinctions suggest a possible sixth mass extinction event. Conservation planners are seeking effective ways to protect species, hotspots of
Environmental DNA allows upscaling spatial patterns of biodiversity in freshwater ecosystems
This work shows that combining environmental DNA extracted from stream water samples with models based on hydrological first principles allows upscaling biodiversity estimates for aquatic insects at very high spatial resolution, and develops and test an approach to reconstruct high-resolution spatial biodiversity patterns from freshwater eDNA.
Predicting species distributions and community composition using satellite remote sensing predictors
It is found that applying constraints to assemblage predictions, such as using the probability ranking rule, does not improve biodiversity prediction models, and independent of the stacking procedure, these kinds of next-generation biodiversity models do not accurately recover the observed species composition at the plot level or ecological-community scales.
A Biodiversity Composition Map of California Derived from Environmental DNA Metabarcoding and Earth Observation
This study provides the first example of integrating citizen science based eDNA with biodiversity mapping across the tree of life, with promises to produce large scale, high resolution assessments that promote a more comprehensive and predictive understanding of the factors that influence biodiversity and enhance its maintenance.


Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale
The challenges of a ‘Big Data’ approach to building global EBV data products across taxa and spatiotemporal scales, focusing on species distribution and abundance are assessed.
Monitoring Essential Biodiversity Variables at the Species Level
The Group on Earth Observations Biodiversity Observation Network (GEO BON) is developing a monitoring framework around a set of Essential Biodiversity Variables (EBVs) which aims at facilitating data
Monitoring species abundance and distribution at the landscape scale
Models of species distribution can be used to project likely future scenarios and thus inform conservation planning where distributions are likely to change because of climate change or changing disturbance patterns, and existing models have been modified to allow the abundance of multiple species to be estimated simultaneously.
Global priorities for an effective information basis of biodiversity distributions
Gaps in digital accessible information (DAI) on species distributions hamper prospects of safeguarding biodiversity and ecosystem services, and addressing central ecological and evolutionary
Spatial modelling of biodiversity at the community level
Community-level modelling deserves to be considered more often, and more widely, as a potential alternative or supplement to modelling individual species.
Biodiversity monitoring, earth observations and the ecology of scale.
From this analysis emerges an actionable approach for measuring, monitoring and forecasting biodiversity change, highlighting key opportunities to establish EO as the backbone of global-scale, science-driven conservation.
Systematic site selection for multispecies monitoring networks
A framework to allocate monitoring sites for multiple species at broad scales using predictive models and optimization algorithms currently applied in systematic conservation planning is developed and recommended to design new multispecies monitoring networks or to extend existing ones.
Integrating occurrence data and expert maps for improved species range predictions
A new modelling methodology is developed to combine the complementary informative attributes of both data types to improve fine-scale, large-extent predictions of species distribution models and is being implemented as a standard element underpinning integrative species distribution predictions in the Map of Life.