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Natural resource managers consistently identify invasive species as one of the biggest challenges for ecological adaptation to climate change. Yet climate change is often not considered during their management decision making. Given the many ways that invasive species and climate change will interact, such as changing fire regimes and facilitating the migration of high priority species, it is more critical than ever to integrate climate adaptation science and natural resource management. The coupling of climate adaptation and invasive species management remains limited by a lack of information, personnel, and funding. Those working on ecological adaptation to climate change have reported that information is not...
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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...
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There are significant investments by states and resource agencies in the northeast U.S. for invasive aquatic species monitoring and management. These investments in jurisdictional waters help maintain their use for drinking, industry, and recreation. It is essential to understand the risks from invasive species, because once established, species can be costly to society and difficult or impossible to control. Identifying which species are most likely to move into a new region and cause harmful impacts can aid in preventing introductions and establishment. This is especially important in response to climate change as habitats potentially become usable to previously range-restricted species. Currently, hundreds...
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This is a dataset containing aggregated non-native plant occurrence and abundance data for the contiguous United States. We used these data to develop habitat suitability models for species found in the Eastern United States using locations with 5% cover or greater. We adapted the INHABIT modeling workflow (Young et al. 2020), using a consistent set of climatic predictors that were important in the INHABIT models. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.2.2]. We accounted for sampling bias by using the target background approach, and constructed model ensembles using the five models for each species for three different thresholds (conservative to targeted;1st...
    map background search result map search result map Creating a North Central Regional Invasive Species and Climate Change (NC RISCC) Management Network Future Aquatic Invaders of the Northeast U.S.: How Climate Change, Human Vectors, and Natural History Could Bring Southern and Western Species North Thresholded abundance models for three invasive plant species in the United States US non-native plant occurrence and abundance data and distribution maps for Eastern US species with current and future climate Future Aquatic Invaders of the Northeast U.S.: How Climate Change, Human Vectors, and Natural History Could Bring Southern and Western Species North Creating a North Central Regional Invasive Species and Climate Change (NC RISCC) Management Network Thresholded abundance models for three invasive plant species in the United States US non-native plant occurrence and abundance data and distribution maps for Eastern US species with current and future climate