Filters: partyWithName: Catherine S Jarnevich (X)
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Aim Invasive species prevention and management can be guided by comparisons of invasion risk across space and among species. Species distribution models are widely used to assess invasion risk and typically estimate suitability for species presence. However, suitability for presence may not capture patterns of abundance and impact. We asked how models estimating suitability for presence versus suitability for abundance aligned in their implications for risk assessment. Location Western United States. Methods We developed ensembles of species distribution models for presence and for abundance for four invasive plants. We visualized the distribution of presence and abundance in environmental and geographic space and...
Categories: Publication;
Types: Citation
In the North Central region, invasive species and climate change are intricately linked to changing fire regimes, and together, these drivers can have pronounced effects on ecosystems. When fires burn too hot or too frequently, they can prevent slow-growing native plants from regrowing. When this happens, the landscape can transform into a new type of ecosystem, such as a forest becoming a grassland. This process is known as “ecosystem transformation”. This project will explore key management priorities including native community resilience and management of invasive species, wildfire, and ecosystem change, in a collaboration of researchers working directly with land managers and other stakeholders through the...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
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OGC WMS Service;
Tags: 2023,
CASC,
Drought, Fire and Extreme Weather,
Drought, Fire and Extreme Weather,
Invasive grasses,
This is a spatially-explicit state-and-transition simulation model of buffelgrass dynamics in Saguaro National Park. Buffelgrass is an invasive grass spreading in the park. The model represents uninvaded and invaded parts of the desert ecosystem including transition pathways related to management activities and includes a connection to a fire behavior model. The model was built using the ST-Sim software platform linked to the FARSITE fire behavior model. The St-SIM file structure includes three components: 1) Buffelgrass.ssim.input folder that houses the input files used by St-SIM, 2) the Buffelgrass.ssim.output folder which houses the scenario outputs used by St-SIM for visualization and export of data, and 3)...
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