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We developed habitat suitability models for three invasive plant species: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). We applied the modeling workflow developed in Young et al. 2020, developing similar models for occurrence data, but also models trained using species locations with percent cover ≥10%, ≥25%, and ≥50%. We chose predictors from a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using...
Categories: Data;
Tags: Botany,
Contiguous United States,
Ecology,
Land Use Change,
Remote Sensing, All tags...
SAHM,
Species Distribution Modeling,
USGS Science Data Catalog (SDC),
United States,
VisTrails,
biota,
habitat suitability,
invasive, Fewer tags
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The North Central Regional Invasive Species and Climate Change (NC RISCC) network includes >100 members working at the nexus of climate change and invasive species. In late 2021, the NC RISCC leadership team surveyed regional practitioners working on issues related to invasive species management to understand their priorities and practices. Survey participants represented a variety of entities, with the most representation from: county government, academia/universities, federal government, non-governmental organizations (NGOs), and state government. They also represented all seven states in the NC region: CO, WY, MT, ND, SD, KS, and NE. Key findings include: Many practitioners in the NC RISCC network report having...
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