Integrated SDM database: Enhancing the relevance and utility of species distribution models in conservation management

@article{Frans2021IntegratedSD,
  title={Integrated SDM database: Enhancing the relevance and utility of species distribution models in conservation management},
  author={Veronica F. Frans and Am{\'e}lie A. Aug{\'e} and Jim Fyfe and Yuqian Zhang and N Mcnally and Hendrik Edelhoff and Niko Balkenhol and Jan O. Engler},
  journal={Methods in Ecology and Evolution},
  year={2021},
  volume={13},
  pages={243 - 261}
}
Species' ranges are changing at accelerating rates. Species distribution models (SDMs) are powerful tools that help rangers and decision‐makers prepare for reintroductions, range shifts, reductions and/or expansions by predicting habitat suitability across landscapes. Yet, range‐expanding or ‐shifting species in particular face other challenges that traditional SDM procedures cannot quantify, due to large differences between a species' currently occupied range and potential future range. The… 
1 Citations

Bayesian species distribution models integrate presence-only and presence-absence data to predict deer distribution and relative abundance

The use of georeferenced information on the presence of a species to predict its distribution across a geographic area is one of the most common tools in management and conservation. The collection

References

SHOWING 1-10 OF 61 REFERENCES

Predicting species distributions for conservation decisions

TLDR
It is proposed that species distribution modellers should get involved in real decision-making processes that will benefit from their technical input and have the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes.

Integrating species distribution modelling into decision-making to inform conservation actions

TLDR
This work reports successful examples on how to use SDMs to identify the most favourable habitats for implementing conservation management actions, and highlights the key role of clear and useful spatial products in the decision context, modelling framework and the spatial products.

Avian SDMs : current state, challenges, and opportunities

TLDR
The current state of avian SDMs is reviewed and it is concluded that they remain a powerful tool to learn about past, current, and future species distributions - at least when their limitations and assumptions are recognized and addressed.

Expert-based and correlative models to map habitat quality: Which gives better support to conservation planning?

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

Species distribution models (SDMs) are numerical tools that combine observations of species occurrence or abundance with environmental estimates. They are used to gain ecological and evolutionary

Quantifying apart what belongs together: A multi‐state species distribution modelling framework for species using distinct habitats

TLDR
This framework can be applied to inform management when defining habitat suitability for species with complex changes in habitat use, and accounts for temporal and behavioral changes in distribution, maintains the individuality of each partitioned SDM, and considers distance between distinct habitat types.

An evaluation of mapped species distribution models used for conservation planning

TLDR
All of the quantitative species distribution models were good predictors of the validation data set, but the spatial distribution of mapped habitats differed considerably among models, suggesting that choice of model and variable set could influence the identification of areas for conservation emphasis.

Development and Delivery of Species Distribution Models to Inform Decision-Making

TLDR
This work provides a rubric that model developers can use to communicate a model’s attributes and its appropriate uses, and highlights how species distribution models have been used to design surveys for new populations, inform spatial prioritization decisions for management actions, and support regulatory decision-making and compliance.

MANAGING LANDSCAPES FOR CONSERVATION UNDER UNCERTAINTY

TLDR
It is recommended that landscape planners use different kinds of models, identify important sources of uncertainty that may affect planning decisions, and seek options that are likely to result in tolerable outcomes, despite uncertainty.

Spatially explicit species distribution models: A missed opportunity in conservation planning?

Systematic conservation planning is vital for allocating protected areas given the spatial distribution of conservation features, such as species. Due to incomplete species inventories, species
...