Data

Vascular plant GDM transformed grids for the Nearctic Boreal Forest / Taiga and Neotropical Moist Tropical Forest Bio-Realms

Commonwealth Scientific and Industrial Research Organisation
Hoskins, Andrew ; Harwood, Thomas ; Ware, Chris ; Williams, Kristen ; Perry, Justin ; Ota, Noboru ; Ferrier, Simon
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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:doi10.25919/mchj-qj10&rft.title=Vascular plant GDM transformed grids for the Nearctic Boreal Forest / Taiga and Neotropical Moist Tropical Forest Bio-Realms&rft.identifier=https://doi.org/10.25919/mchj-qj10&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This collection contains GDM transformed grids for vascular plant species compositional turnover models for two bio-realms: the Nearctic Boreal Forest / Taiga and Neotropical Moist Tropical Forest. The GDM parameter files are included, along with some outputs describing the GDM model outputs. This is just two of the many GDM models for bio-realms of the world. This collection is compiled for the purpose of testing the new R-packaged Survey Gap Analysis Tool. Data are raster ESRI float files (*.flt and *.hdr) in geographics, WGS84, 0.008333 degrees, approximately 250 m global grids. Lineage: The lineage is described in the attached GDM parameter files for the vascular plant models, 'GDMready7_5_Params', for each biorealm. Additional files (PDF, image tif) describe outputs of the model. The formal description of methods is provided in Hoskins AJ, Harwood TD, Ware C, Williams KJ, Perry JJ, Ota N, Croft JR, Yeates DK, Jetz W, Golebiewski M, Purvis A, Robertson T and Ferrier S (2020) BILBI: Supporting global biodiversity assessment through high-resolution macroecological modelling. Environmental Modelling & Software 132, 104806. DOI: https://doi.org/10.1016/j.envsoft.2020.104806 and supplementary files therein (https://www.sciencedirect.com/science/article/pii/S1364815220301225?via%3Dihub#appsec1). &rft.creator=Hoskins, Andrew &rft.creator=Harwood, Thomas &rft.creator=Ware, Chris &rft.creator=Williams, Kristen &rft.creator=Perry, Justin &rft.creator=Ota, Noboru &rft.creator=Ferrier, Simon &rft.date=2024&rft.edition=v1&rft.relation=https://www.sciencedirect.com/science/article/pii/S1364815220301225&rft.coverage=westlimit=-180.0; southlimit=-60.0; eastlimit=180.0; northlimit=90.0; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Access to the data is restricted&rft_rights=All Rights (including copyright) CSIRO 2024.&rft_subject=Generalised Dissimilarity Modelling&rft_subject=Nearctic Boreal Forest / Taiga Biorealm&rft_subject=Neotropical Moist Tropical Forest Biorealm&rft_subject=GDM-transformed grids&rft_subject=1990-centred climates&rft_subject=soil&rft_subject=landform&rft_subject=Conservation and biodiversity&rft_subject=Environmental management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=Environmental assessment and monitoring&rft_subject=Applied statistics&rft_subject=Statistics&rft_subject=MATHEMATICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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This collection contains GDM transformed grids for vascular plant species compositional turnover models for two bio-realms: the Nearctic Boreal Forest / Taiga and Neotropical Moist Tropical Forest. The GDM parameter files are included, along with some outputs describing the GDM model outputs.

This is just two of the many GDM models for bio-realms of the world.

This collection is compiled for the purpose of testing the new R-packaged Survey Gap Analysis Tool.

Data are raster ESRI float files (*.flt and *.hdr) in geographics, WGS84, 0.008333 degrees, approximately 250 m global grids.
Lineage: The lineage is described in the attached GDM parameter files for the vascular plant models, 'GDMready7_5_Params', for each biorealm. Additional files (PDF, image tif) describe outputs of the model. The formal description of methods is provided in Hoskins AJ, Harwood TD, Ware C, Williams KJ, Perry JJ, Ota N, Croft JR, Yeates DK, Jetz W, Golebiewski M, Purvis A, Robertson T and Ferrier S (2020) BILBI: Supporting global biodiversity assessment through high-resolution macroecological modelling. Environmental Modelling & Software 132, 104806. DOI: https://doi.org/10.1016/j.envsoft.2020.104806 and supplementary files therein (https://www.sciencedirect.com/science/article/pii/S1364815220301225?via%3Dihub#appsec1).

Available: 2024-10-08

Data time period: 1975-01-01 to 2005-12-31

This dataset is part of a larger collection

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Related Publications

  • Associated with Hoskins AJ, Harwood TD, Ware C, Williams KJ, Perry JJ, Ota N, Croft JR, Yeates DK, Jetz W, Golebiewski M, Purvis A, Robertson T and Ferrier S (2020) BILBI: Supporting global biodiversity assessment through high-resolution macroecological modelling. Environmental Modelling & Software 132, 104806. DOI: https://doi.org/10.1016/j.envsoft.2020.104806
    url : www.sciencedirect.com/science/article/pii/S1364815220301225

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Subjects
1990-centred climates | Applied Statistics | Conservation and Biodiversity | Environmental Sciences | Environmental Assessment and Monitoring | Environmental Management | GDM-transformed grids | Generalised Dissimilarity Modelling | Mathematical Sciences | Nearctic Boreal Forest / Taiga Biorealm | Neotropical Moist Tropical Forest Biorealm | Statistics | landform | soil |

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Identifiers
ACN 633 798 857