Abstract

Species distribution models (SDMs) constitute the most common class of models across ecology, evolution and conservation. The advent of ready‐to‐use software packages and increasing availability of digital geoinformation have considerably assisted the application of SDMs in the past decade, greatly enabling their broader use for informing conservation and management, and for quantifying impacts from global change. However, models must be fit for purpose, with all important aspects of their development and applications properly considered. Despite the widespread use of SDMs, standardisation and documentation of modelling protocols remain limited, which makes it hard to assess whether development steps are appropriate for end use. To address these issues, we propose a standard protocol for reporting SDMs, with an emphasis on describing how a study's objective is achieved through a series of modeling decisions. We call this the ODMAP (Overview, Data, Model, Assessment and Prediction) protocol, as its components reflect the main steps involved in building SDMs and other empirically‐based biodiversity models. The ODMAP protocol serves two main purposes. First, it provides a checklist for authors, detailing key steps for model building and analyses, and thus represents a quick guide and generic workflow for modern SDMs. Second, it introduces a structured format for documenting and communicating the models, ensuring transparency and reproducibility, facilitating peer review and expert evaluation of model quality, as well as meta‐analyses. We detail all elements of ODMAP, and explain how it can be used for different model objectives and applications, and how it complements efforts to store associated metadata and define modelling standards. We illustrate its utility by revisiting nine previously published case studies, and provide an interactive web‐based application to facilitate its use. We plan to advance ODMAP by encouraging its further refinement and adoption by the scientific community.

Highlights

  • Modelling species’ environmental requirements and mapping their distributions through space and time constitute important aspects of many biological analyses, in support of conservation and management interventions (Franklin 2010)

  • We detail all elements of ODMAP, and explain how it can be used for different model objectives and applications, and how it complements efforts to store associated metadata and define modelling standards

  • In the the lexicon of research reproducibility (Goodman et al 2016), methods reproducibility means that sufficient details are provided on data and methods in order to independently repeat the study, while results reproducibility means that the same results can be obtained from an independent study (Plesser 2018)

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Summary

Title Authors Type URL Published Date

A standard protocol for reporting species distribution models Zurrel, D, Franklin, J, König, C, Yates, KL, Zimmerman, N and Merow, C Article This version is available at: http://usir.salford.ac.uk/id/eprint/57091/ 2020. USIR is a digital collection of the research output of the University of Salford. Full text material held in the repository is made freely available online and can be read, downloaded and copied for non-commercial private study or research purposes. Please check the manuscript for any further copyright restrictions

Review and synthesis
Introduction
ODMAP sections and elements
ODMAP elements
Model objective
Conceptual underpinning
Technical aspects
Biodiversity data
Environmental data
Transfer data
Multicollinearity and variable selection
Model settings and model complexity
Model estimates
Threshold selection
Performance statistics
Plausibility checks
Prediction output
Uncertainty quantification
Template and web application
Case studies
Findings
Discussion
Full Text
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