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A standard protocol for reporting species distribution models

Damaris ZurellGeography Dept, Humboldt‐Univ. Berlin Berlin GermanyJanet FranklinDept Botany and Plant Sciences, Univ. California Riverside USAChristian KönigGeography Dept, Humboldt‐Univ. Berlin Berlin GermanyPhil J. BouchetCentre for Research into Ecological and Environmental Modelling, School of Mathematics and Statistics, Univ. St Andrews St Andrews ScotlandCarsten F. DormannBiometry and Environmental Analysis, Univ. Freiburg Freiburg GermanyJane ElithSchool of BioSciences, Univ. Melbourne Melbourne AustraliaGuillermo FandósGeography Dept, Humboldt‐Univ. Berlin Berlin GermanyXiao FengInst. Environment, Univ. Arizona Tucson USAGurutzeta Guillera‐ArroitaSchool of BioSciences, Univ. Melbourne Melbourne AustraliaAntoine GuisanJosé J. Lahoz‐MonfortSchool of BioSciences, Univ. Melbourne Melbourne AustraliaPedro J. LeitãoGeography Dept, Humboldt‐Univ. Berlin Berlin GermanyDaniel ParkDept Organismic and Evolutionary Biology and Harvard Univ. Herbaria, Harvard Univ. Cambridge USAA. Townsend PetersonBiodiversity Inst., Univ. Kansas Lawrence USAGiovanni RapacciuoloInst. Biodiversity Science and Sustainability, California Academy of Sciences San Francisco USADirk R. SchmatzLand Change Science, Swiss Federal Research Inst. WSL Birmensdorf SwitzerlandBoris SchröderLandscape Ecology and Environmental Systems Analysis, Technische Univ. Braunschweig Braunschweig GermanyJosep M. Serra‐DiazUniv. Lorraine, AgroParisTech, INRAE Nancy FranceWilfried ThuillerUniv. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA Grenoble FranceKatherine L. YatesSchool of Science, Engineering and Environment, Univ. Salford UKNiklaus E. ZimmermannLand Change Science, Swiss Federal Research Inst. WSL Birmensdorf SwitzerlandCory MerowEcology and Evolutionary Biology, Univ. Connecticut Storrs USA
2020en
ABI

Аннотация

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.

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