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    • Alien Plant Survey Protocol Design

    Metadata Updated: January 25, 2026

    Following a survey effort to describe alien plant invasion of anthropogenically disturbed areas, this project set the stage for inventorying areas of natural disturbance in Yosemite National Park. Sampling protocols were designed to maximize the number of species likely to be found in an inventory of alien plants in burned and riparian areas. Contractors used existing plot data to identify environmental factors that were correlated with the percent cover of non-native species and then developed a predictive model using the Genetic Algorithm for Rule-set Production (GARP) technique. They selected elevation, slope, and vegetation structure as inputs into the GARP model and calculated prediction accuracy as 76%. Distribution maps of predicted occurrence can be used by management to stratify monitoring of non-native species, to prioritize inventory and control efforts according to the likelihood of non-native occurrences, and to inform decisions relating to the management of non-native species in postfire environments. With the expected increase in the spread of non-native plants, this approach provides a tool for assisting decision makers in managing non-native species and can be adapted to target non-native species in other locations. The broader implication of this research is that similar predictive models can be developed for other national parks where suitable plot data exist to increase the efficiency and reduce the costs of field work.

    Other products stemming from the project include data structures proposed for the collection of field survey data, predictive model coverages, references on alien plant species and disturbance, a final report, shape files obtained from the park or created as part of the project, and shape file metadata.

    A publication stemming from the project is: Underwood, E. C., R. Klinger and P. E. Moore. 2004. Predicting patterns of non-native plant invasions in Yosemite National Park, California, USA. Diversity and Distributions 10:447–459. doi.org/10.1111/j.1366-9516.2004.00093.x

    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.

    Downloads & Resources

    Dates

    Metadata Created Date January 14, 2026
    Metadata Updated Date January 25, 2026

    Metadata Source

    Harvested from DOI NPS DCAT-US

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 14, 2026
    Metadata Updated Date January 25, 2026
    Publisher National Park Service
    Maintainer
    Identifier http://datainventory.doi.gov/id/dataset/NPS_DataStore_2253464
    Data First Published 2018-07-10T00:00:00Z
    Data Last Modified 2018-07-10T00:00:00Z
    Category Generic Dataset
    Public Access Level public
    Bureau Code 010:24
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://ddi.doi.gov/nps-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 4d20a648-8265-4e9f-94b4-b9d4e10b2b07
    Harvest Source Id d917c1a9-26b7-43ea-b8c5-c77ec750a850
    Harvest Source Title DOI NPS DCAT-US
    Homepage URL https://irma.nps.gov/DataStore/Reference/Profile/2253464
    Old Spatial -121.646149,34.9317169,-116.997093,41.38846
    Program Code 010:118, 010:119
    Source Datajson Identifier True
    Source Hash 48bda1d7cc8157c99ae065c37cc7e546b86c43b0c09c7263b7f181d4819895a6
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -121.646149, 34.9317169, -121.646149, 41.38846, -116.997093, 41.38846, -116.997093, 34.9317169, -121.646149, 34.9317169}
    Temporal 2002-01-01/2002-01-01

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