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Landscape and connectivity metrics based on invasive annual grass cover from 2016-2018 summarized at 15 kilometer grid cells in the Great Basin, USA

Dates

Publication Date
Time Period
2020-05-26

Citation

Buchholtz, E.K., and Heinrichs, J.A., 2023, Landscape and connectivity metrics based on invasive annual grass cover from 2016-2018 summarized at 15 kilometer grid cells in the Great Basin, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P9B4H00Q.

Summary

The spatial context of invasions is increasingly recognized as important for the success and efficiency of management actions. This information can be key for managing invasive grasses that threaten native ecosystems. We calculated landscape metrics and circuit-based centrality for invasive grasses using a source input raster of weighted-average annual herbaceous cover from 2016-2018 (Maestas et al. 2020, 30 meter resolution) in the Great Basin, USA. This shapefile data product includes the summarized landscape metrics and connectivity metrics for 15 kilometer grid cells (n = 2408) across the Great Basin, USA. Metrics for each grid cell include: mean patch area (area_mn), class area (ca), number of patches (np), largest patch index [...]

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Shapefile: landsconnmetrics_grid_dp.zip
landsconnmetrics_grid_dp.dbf 663.49 KB
landsconnmetrics_grid_dp.prj 459 Bytes
landsconnmetrics_grid_dp.shp 319.91 KB
landsconnmetrics_grid_dp.shx 18.91 KB

Purpose

While methods for quantifying invasive grass presence and abundance advance, few options have been explored in characterizing and comparing spatial patterns of extent and connectivity. The landscape metric approach can be applied across scales to spatially target patches locally, provide broader context within a single region, as well as to compare metrics and spatial variation in patterns among different regions. The summarized metrics in this shapefile can be used as a starting point to identify, contextualize, and compare patterns of invasion within the Great Basin. As with all products based on remotely-sensed data and thresholds, the data presented here is best used alongside local knowledge and data.

Map

Spatial Services

ScienceBase WMS

ScienceBase WFS

Communities

  • Fort Collins Science Center (FORT)
  • USGS Data Release Products

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9B4H00Q

Shapefile Extension

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