Data

An R model to estimate the relative abundance of species from presence-absence data

Australian Antarctic Data Centre
ASHCROFT, MICHAEL B.
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/15/5a26170cc27ef&rft.title=An R model to estimate the relative abundance of species from presence-absence data&rft.identifier=10.4225/15/5a26170cc27ef&rft.publisher=Australian Antarctic Data Centre&rft.description=This record contains R code for a model that estimates the relative abundance of species using only presence-absence data. It is demonstrated using two examples with Antarctic mosses: One that explains spatial patterns along a water availability gradient, and one that explains temporal changes between 2000 and 2013. It could be modified to work with other species or datasets.&rft.creator=ASHCROFT, MICHAEL B. &rft.date=2017&rft.coverage=northlimit=-65.44; southlimit=-67.47492; westlimit=107.92969; eastLimit=114.08203; projection=WGS84&rft.coverage=northlimit=-65.44; southlimit=-67.47492; westlimit=107.92969; eastLimit=114.08203; projection=WGS84&rft_rights=The model is available to be used on other datasets. Resulting publications should cite: Ashcroft MB, King DH, Raymond B, Turnbull JD, Wasley J, Robinson SA (2017) Moving beyond presence and absence when examining changes in species distributions. Global Change Biology 23: 2929–2940. This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/). Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4046_Estimate_Abundance_Model when using these data.&rft_subject=biota&rft_subject=MOSSES/HORNWORTS/LIVERWORTS&rft_subject=EARTH SCIENCE&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=PLANTS&rft_subject=DYNAMIC VEGETATION/ECOSYSTEM MODELS&rft_subject=EARTH SCIENCE SERVICES&rft_subject=MODELS&rft_subject=Computer > Computer&rft_subject=GEOGRAPHIC REGION > POLAR&rft_subject=CONTINENT > ANTARCTICA&rft_place=Hobart&rft.type=dataset&rft.language=English Access the data
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The model is available to be used on other datasets. Resulting publications should cite: Ashcroft MB, King DH, Raymond B, Turnbull JD, Wasley J, Robinson SA (2017) Moving beyond presence and absence when examining changes in species distributions. Global Change Biology 23: 2929–2940. This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/). Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4046_Estimate_Abundance_Model when using these data.

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These data are publicly available for download from the provided URL. The spatial application of the model is published and is available in Ashcroft et al. 2017. The temporal application of the model is currently under review and is expected to be made available in early 2018.

Brief description

This record contains R code for a model that estimates the relative abundance of species using only presence-absence data. It is demonstrated using two examples with Antarctic mosses: One that explains spatial patterns along a water availability gradient, and one that explains temporal changes between 2000 and 2013. It could be modified to work with other species or datasets.

Issued: 2017-12-05

Data time period: 2000-01-01 to 2013-03-01

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114.08203,-65.44 114.08203,-67.47492 107.92969,-67.47492 107.92969,-65.44 114.08203,-65.44

111.00586,-66.45746

text: northlimit=-65.44; southlimit=-67.47492; westlimit=107.92969; eastLimit=114.08203; projection=WGS84

Subjects
BIOLOGICAL CLASSIFICATION | CONTINENT > ANTARCTICA | Computer > Computer | DYNAMIC VEGETATION/ECOSYSTEM MODELS | EARTH SCIENCE | EARTH SCIENCE SERVICES | GEOGRAPHIC REGION > POLAR | MODELS | MOSSES/HORNWORTS/LIVERWORTS | PLANTS | biota |

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AU-ANL:PEAU : http://nla.gov.au/nla.party-617536

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