snippet:
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This is a MaxEnt model map of the global distribution of the seagrass biome. Species occurrence records were extracted from the Global Biodiversity Information Facility (GBIF), United Nations Environment Programme-World Conservation Monitoring Centre (UNEP-WCMC) Ocean Data Viewer and Ocean biogeographic information system (OBIS). This map shows the suitable habitats for the seagrass distribution at global scale. |
summary:
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This is a MaxEnt model map of the global distribution of the seagrass biome. Species occurrence records were extracted from the Global Biodiversity Information Facility (GBIF), United Nations Environment Programme-World Conservation Monitoring Centre (UNEP-WCMC) Ocean Data Viewer and Ocean biogeographic information system (OBIS). This map shows the suitable habitats for the seagrass distribution at global scale. |
extent:
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[[-179.999988541187,-43.5499999947832],[179.999988541187,69.603932700568]] |
accessInformation:
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Jayathilake D.R.M., Costello M.J. 2018. A modelled global distribution of the seagrass biome. Biological Conservation. https://doi.org/10.1016/j.biocon.2018.07.009 |
thumbnail:
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thumbnail/thumbnail.png |
maxScale:
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1.7976931348623157E308 |
typeKeywords:
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["Data","Service","Feature Service","ArcGIS Server","Feature Access","providerSDS"] |
description:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="text-align:Justify;"><SPAN>Existing seagrass distribution datasets still suffer from known spatial gaps in knowledge, for instance, the north east Pacific, the coastal area of Scandinavia and the Northern African coast, are at best characterised by point occurrence records, whilst extensive meadows are known to occur. Point occurrence datasets cannot be used in area surface calculations as they do not indicate the spatial extent of seagrass beds. In the absence of in-situ mapping of seagrass extent at a global scale, existing occurrence data can be used in species distribution models to map the biome in unsurveyed areas, and indeed some regional attempts have been made. This polygon layer is a result of a MaxEnt model of the global distribution of seagrass using all available point records.</SPAN><SPAN /><SPAN STYLE="font-weight:bold;">Creation methodology:</SPAN></P><P STYLE="text-align:Justify;"><SPAN>Species occurrence records were extracted from the Global Biodiversity Information Facility (GBIF), United Nations Environment Programme-World Conservation Monitoring Centre (UNEP-WCMC) Ocean Data Viewer and Ocean biogeographic information system (OBIS). After data cleaning, 39045 occurrence records (combining all seagrass species) were used in species distribution model. 13 environmental variables from Global Marine Environment Datasets (GMED) were interpolated into 30 arc seconds resolution (1 km at the equator) and used in species distribution models. MaxEnt models were generated using 10 cross-validate replicate runs with parameters: convergence threshold = 10-5, regularization multiplier = 1, maximum number of background points = 10,000 and maximum iterations = 1000. The methodology is fully described in the paper Jayathilake and Costello (2018).</SPAN></P></DIV></DIV></DIV> |
licenseInfo:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="text-align:Justify;"><SPAN>Creative Commons Attribution 4.0 Unported (CC BY 4.0). See https://creativecommons.org/licenses/by/4.0/ for details. Free to (1) copy and redistribute the material in any medium or format, (2) remix, transform, and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.</SPAN></P></DIV></DIV></DIV> |
catalogPath:
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title:
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MaxentModeledSeagrassExtent |
type:
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Feature Service |
url:
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tags:
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["marine","ocean","seagrass","biome","habitat","MaxEnt"] |
culture:
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en-GB |
name:
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MaxentModeledSeagrassExtent |
guid:
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99FDB021-A419-4ACE-9FEB-52BAFC4A97A7 |
minScale:
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0 |
spatialReference:
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World_Cylindrical_Equal_Area |