Abstract
Species distribution models (SDMs) have been widely used to project terrestrial species' responses to climate change and are increasingly being used for similar objectives in the marine realm. These projections are critically needed to develop strategies for resource management and the conservation of marine ecosystems. SDMs are a powerful and necessary tool; however, they are subject to many sources of uncertainty, both quantifiable and unquantifiable. To ensure that SDM projections are informative for management and conservation decisions, sources of uncertainty must be considered and properly addressed. Here we provide ten overarching guidelines that will aid researchers to identify, minimize, and account for uncertainty through the entire model development process, from the formation of a study question to the presentation of results. These guidelines focus on correlative models and were developed at an international workshop attended by over 50 researchers and practitioners. Although our guidelines are broadly applicable across biological realms, we provide particular focus to the challenges and uncertainties associated with projecting the impacts of climate change on marine species and ecosystems.
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References
183
[8]
Anderson S. C. "sdmTMB: an R package for fast, flexible, and user‐friendly generalized linear mixed effects models with spatial and spatiotemporal random fields" bioRxiv (2022)
[9]
Ensemble forecasting of species distributions

M ARAUJO, M NEW

Trends in Ecology & Evolution 10.1016/j.tree.2006.09.010
[10]
Uses and misuses of bioclimatic envelope modeling

Miguel B. Araújo, A. Townsend Peterson

Ecology 10.1890/11-1930.1
[16]
Baron N. Escape from the ivory tower : a guide to making your science matter (2010)
[32]
Evolutionary rescue in a changing world

Stephanie M. Carlson, Curry J. Cunningham, Peter A.H. Westley

Trends in Ecology & Evolution 10.1016/j.tree.2014.06.005
[34]
Charney N. D. "A test of species distribution model transferability across environmental and geographic space for 108 western North American tree species" Front. Ecol. Evol. (2021) 10.3389/fevo.2021.689295
[36]
No regrets: circles of climate change adaptation 1996
[37]
Corner A. Principles for effective communication and public engagement on climate change. A handbook for IPCC authors. – Climate Outreach (2018)
[42]
Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

Jane Elith, John R. Leathwick

Annual Review of Ecology, Evolution, and Systemati... 10.1146/annurev.ecolsys.110308.120159
[47]
Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization

Veronika Eyring, Sandrine Bony, Gerald A. Meehl et al.

Geoscientific Model Development 10.5194/gmd-9-1937-2016
[48]
Falloon P. "Ensembles and uncertainty in climate change impacts" Front. Environ. Sci. (2014) 10.3389/fenvs.2014.00033

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Published
Sep 13, 2023
Vol/Issue
2023(11)
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Sarah C. Davies, Patrick L. Thompson, Catalina Gomez, et al. (2023). Addressing uncertainty when projecting marine species' distributions under climate change. Ecography, 2023(11). https://doi.org/10.1111/ecog.06731