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      Climatic and tectonic drivers shaped the tropical distribution of coral reefs

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          Abstract

          Today, warm-water coral reefs are limited to tropical-to-subtropical latitudes. These diverse ecosystems extended further poleward in the geological past, but the mechanisms driving these past distributions remain uncertain. Here, we test the role of climate and palaeogeography in shaping the distribution of coral reefs over geological timescales. To do so, we combine habitat suitability modelling, Earth System modelling and the ~247-million-year geological record of scleractinian coral reefs. A broader latitudinal distribution of climatically suitable habitat persisted throughout much of the Mesozoic–early Paleogene due to an expanded tropical belt and more equable distribution of shallow marine substrate. The earliest Cretaceous might be an exception, with reduced shallow marine substrate during a ‘cold-snap’ interval. Climatically suitable habitat area became increasingly skewed towards the tropics from the late Paleogene, likely steepening the latitudinal biodiversity gradient of reef-associated taxa. This was driven by global cooling and increases in tropical shallow marine substrate resulting from the tectonic evolution of the Indo-Australian Archipelago. Although our results suggest global warming might permit long-term poleward range expansions, coral reef ecosystems are unlikely to keep pace with the rapid rate of anthropogenic climate change.

          Abstract

          Warm-water coral reefs are limited to tropical and subtropical latitudes today but extended poleward in the geological past. This study shows that climatic and tectonic drivers explain the past distribution of coral reefs and associated biodiversity.

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          Most cited references106

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          Maximum entropy modeling of species geographic distributions

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            Measuring the accuracy of diagnostic systems.

            J Swets (1988)
            Diagnostic systems of several kinds are used to distinguish between two classes of events, essentially "signals" and "noise". For them, analysis in terms of the "relative operating characteristic" of signal detection theory provides a precise and valid measure of diagnostic accuracy. It is the only measure available that is uninfluenced by decision biases and prior probabilities, and it places the performances of diverse systems on a common, easily interpreted scale. Representative values of this measure are reported here for systems in medical imaging, materials testing, weather forecasting, information retrieval, polygraph lie detection, and aptitude testing. Though the measure itself is sound, the values obtained from tests of diagnostic systems often require qualification because the test data on which they are based are of unsure quality. A common set of problems in testing is faced in all fields. How well these problems are handled, or can be handled in a given field, determines the degree of confidence that can be placed in a measured value of accuracy. Some fields fare much better than others.
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              Novel methods improve prediction of species’ distributions from occurrence data

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                Author and article information

                Contributors
                LewisAlan.Jones@uvigo.es
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                14 June 2022
                14 June 2022
                2022
                : 13
                : 3120
                Affiliations
                [1 ]GRID grid.6312.6, ISNI 0000 0001 2097 6738, Centro de Investigación Mariña, Grupo de Ecoloxía Animal, , Universidade de Vigo, ; 36310 Vigo, Spain
                [2 ]GRID grid.83440.3b, ISNI 0000000121901201, Department of Earth Sciences, , University College London, ; Gower Street, London, WC1E 6BT UK
                [3 ]GRID grid.5337.2, ISNI 0000 0004 1936 7603, School of Geographical Sciences, , University of Bristol, ; Bristol, BS8 1SS UK
                Author information
                http://orcid.org/0000-0003-3902-8986
                http://orcid.org/0000-0002-9361-6941
                http://orcid.org/0000-0001-5585-5338
                http://orcid.org/0000-0003-3585-6928
                Article
                30793
                10.1038/s41467-022-30793-8
                9198051
                35701413
                d2db0116-f0f7-45fd-b63a-d98076b7a0af
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 April 2021
                : 6 May 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/100010661, EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020);
                Award ID: 947921
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000288, Royal Society;
                Award ID: UF160216
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000270, RCUK | Natural Environment Research Council (NERC);
                Award ID: NE/K014757/1
                Award ID: NE/K014757/1
                Award ID: NE/P013805/1
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                macroecology,palaeontology
                Uncategorized
                macroecology, palaeontology

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