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    • Spatial predictions of habitat suitability for present-day (1950 – 2000 yr) and mid-Holocene (8.3 ka – 4.2 ka) time intervals

    Metadata Updated: July 6, 2024

    This dataset provides spatial predictions of habitat suitability for current (1950 – 2000 yr) and mid-Holocene (8.3 ka – 4.2 ka) intervals using hindcasting, and three separate paleo-distributions calibrated on the packrat midden archive: those without bias correction (naïve), those created with a standard method (standard), and those created with a novel alternative (modeled) incorporating a three-stage model of bias. The raster layers contained here accompany the manuscript Inman et al. 2018 and were used to evaluate utility of a novel bias correction method (modeled) over classic methods. Spatial predictions of habitat suitability were created using MaxEnt version 3.4.0 (Phillips et al., 2006), a widely-used software for SDM in presence-background frameworks. Detailed methods are provided in Inman et al. 2018. The files within the zipped folder are as listed below: Abies_concolor_midHolocene_hindcast_mean.asc, Abies_concolor_midHolocene_hindcast_stderr.asc, Abies_concolor_midHolocene_modeled_mean.asc, Abies_concolor_midHolocene_modeled_stderr.asc, Abies_concolor_midHolocene_naive_mean.asc, Abies_concolor_midHolocene_naive_stderr.asc, Abies_concolor_midHolocene_standard_mean.asc, Abies_concolor_midHolocene_standard_stderr.asc, Abies_concolor_PresentDay_mean.asc, Abies_concolor_PresentDay_stderr.asc, Artemisia_tridentata_midHolocene_hindcast_mean.asc, Artemisia_tridentata_midHolocene_hindcast_stderr.asc, Artemisia_tridentata_midHolocene_modeled_mean.asc, Artemisia_tridentata_midHolocene_modeled_stderr.asc, Artemisia_tridentata_midHolocene_naive_mean.asc, Artemisia_tridentata_midHolocene_naive_stderr.asc, Artemisia_tridentata_midHolocene_standard_mean.asc, Artemisia_tridentata_midHolocene_standard_stderr.asc, Artemisia_tridentata_PresentDay_mean.asc, Artemisia_tridentata_PresentDay_stderr.asc, Coleogyne_ramosissima_midHolocene_hindcast_mean.asc, Coleogyne_ramosissima_midHolocene_hindcast_stderr.asc, Coleogyne_ramosissima_midHolocene_modeled_mean.asc, Coleogyne_ramosissima_midHolocene_modeled_stderr.asc, Coleogyne_ramosissima_midHolocene_naive_mean.asc, Coleogyne_ramosissima_midHolocene_naive_stderr.asc, Coleogyne_ramosissima_midHolocene_standard_mean.asc, Coleogyne_ramosissima_midHolocene_standard_stderr.asc, Coleogyne_ramosissima_PresentDay_mean.asc, Coleogyne_ramosissima_PresentDay_stderr.asc, Juniperus_communis_midHolocene_hindcast_mean.asc, Juniperus_communis_midHolocene_hindcast_stderr.asc, Juniperus_communis_midHolocene_modeled_mean.asc, Juniperus_communis_midHolocene_modeled_stderr.asc, Juniperus_communis_midHolocene_naive_mean.asc, Juniperus_communis_midHolocene_naive_stderr.asc, Juniperus_communis_midHolocene_standard_mean.asc, Juniperus_communis_midHolocene_standard_stderr.asc, Juniperus_communis_PresentDay_mean.asc, Juniperus_communis_PresentDay_stderr.asc, Pinus_ponderosa_midHolocene_hindcast_mean.asc, Pinus_ponderosa_midHolocene_hindcast_stderr.asc, Pinus_ponderosa_midHolocene_modeled_mean.asc, Pinus_ponderosa_midHolocene_modeled_stderr.asc, Pinus_ponderosa_midHolocene_naive_mean.asc, Pinus_ponderosa_midHolocene_naive_stderr.asc, Pinus_ponderosa_midHolocene_standard_mean.asc, Pinus_ponderosa_midHolocene_standard_stderr.asc, Pinus_ponderosa_PresentDay_mean.asc, Pinus_ponderosa_PresentDay_stderr.asc, Quercus_gambelii_midHolocene_hindcast_mean.asc, Quercus_gambelii_midHolocene_hindcast_stderr.asc, Quercus_gambelii_midHolocene_modeled_mean.asc, Quercus_gambelii_midHolocene_modeled_stderr.asc, Quercus_gambelii_midHolocene_naive_mean.asc, Quercus_gambelii_midHolocene_naive_stderr.asc, Quercus_gambelii_midHolocene_standard_mean.asc, Quercus_gambelii_midHolocene_standard_stderr.asc, Quercus_gambelii_PresentDay_mean.asc, Quercus_gambelii_PresentDay_stderr.asc These data support the following publication: Inman et al., 2018, Spatial sampling bias in the Neotoma paleoecological archives affects species paleo-distribution models. Quaternary Science Reviews. xxx.xxx. References: Phillips, S.J., Anderson, R.P., Schapire, R.E., 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling 190, 231–259. doi:10.1016/j.ecolmodel.2005.03.026

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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    Dates

    Metadata Created Date June 1, 2023
    Metadata Updated Date July 6, 2024

    Metadata Source

    Harvested from DOI EDI

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date June 1, 2023
    Metadata Updated Date July 6, 2024
    Publisher U.S. Geological Survey
    Maintainer
    @Id http://datainventory.doi.gov/id/dataset/8d966f33fe973ae73fa925d0cb2764ac
    Identifier USGS:5b7da9f0e4b045b1dc7beb81
    Data Last Modified 20200827
    Category geospatial
    Public Access Level public
    Bureau Code 010:12
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://datainventory.doi.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 2b80d221-345e-4293-8511-be8c5b2dde2a
    Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
    Harvest Source Title DOI EDI
    Metadata Type geospatial
    Old Spatial -127.8725,22.8763,-100.3563,51.5723
    Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
    Source Datajson Identifier True
    Source Hash 26c5500fe52ff9ce060f0f9e38004008f67e9169ae28134a3a3a35827db14a45
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -127.8725, 22.8763, -127.8725, 51.5723, -100.3563, 51.5723, -100.3563, 22.8763, -127.8725, 22.8763}

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