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      Diminishing potential for tropical reefs to function as coral diversity strongholds under climate change conditions

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          An Overview of CMIP5 and the Experiment Design

          The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades and the future to year 2035. These “decadal predictions” are initialized based on observations and will be used to explore the predictability of climate and to assess the forecast system's predictive skill. The CMIP5 experiment design also allows for participation of stand-alone atmospheric models and includes a variety of idealized experiments that will improve understanding of the range of model responses found in the more complex and realistic simulations. An exceptionally comprehensive set of model output is being collected and made freely available to researchers through an integrated but distributed data archive. For researchers unfamiliar with climate models, the limitations of the models and experiment design are described.
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            A statistical explanation of MaxEnt for ecologists

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              Novel methods improve prediction of species’ distributions from occurrence data

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                Author and article information

                Contributors
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                Journal
                Diversity and Distributions
                Divers Distrib
                Wiley
                1366-9516
                1472-4642
                November 2021
                August 29 2021
                November 2021
                : 27
                : 11
                : 2245-2261
                Affiliations
                [1 ]Coral Conservation and Research Group Trace and Environmental DNA Laboratory School of Molecular and Life Sciences Curtin University Bentley WA Australia
                [2 ]School of Earth Sciences The University of Western Australia Crawley WA Australia
                [3 ]School for the Environment University of Massachusetts Boston Boston MA USA
                [4 ]Australian Institute of Marine Science IOMRC The University of Western Australia Crawley WA Australia
                [5 ]School of Biological Sciences University of Adelaide North Terrace SA Australia
                [6 ]Kings Park Science Department of Biodiversity, Conservation and Attractions West Perth WA Australia
                [7 ]The UWA Oceans Institute Oceans Graduate School The University of Western Australia Crawley WA Australia
                [8 ]Collections and Research Western Australian Museum Welshpool WA Australia
                Article
                10.1111/ddi.13400
                66e3e899-ba4d-4d46-ba02-cbd65569df35
                © 2021

                http://creativecommons.org/licenses/by/4.0/

                http://creativecommons.org/licenses/by/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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