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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...
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
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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...
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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...
Invasive alien species (IAS) are a rising threat to biodiversity, national security, and regional economies, with impacts in the hundreds of billions of U.S. dollars annually. Proactive or predictive approaches guided by scientific knowledge are essential to keeping pace with growing impacts of invasions under climate change. Although the rapid development of diverse technologies and approaches has produced tools with the potential to greatly accelerate invasion research and management, innovation has far outpaced implementation and coordination. Technological and methodological syntheses are urgently needed to close the growing implementation gap and facilitate interdisciplinary collaboration and synergy among...
Categories: Publication; Types: Citation
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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 spatially-explicit state-and-transition simulation model of buffelgrass dynamics in Saguaro National Park, AZ. Buffelgrass is an invasive grass spreading in the park. The model represents uninvaded and invaded parts of the desert ecosystem 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) Buffelgrass.ssim file which is opened by St-SIM to provide...
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This is a dataset containing the first and second record of georeferenced observations of introduced and invasive vascular plant species in the contiguous United States (CONUS). Non-native plant species were identified using the United States Register of Introduced and Invasive Species (US-RIIS) list. After identifying a list of plants non-native to CONUS, we obtained presence data from aggregated occurrence databases, ensuring the occurrences we acquired were georeferenced (i.e., had coordinate information) and had an observation year recorded. We also identified and removed records that might indicate cultivation. From these data, the first and second record were removed and isolated. This data set contains the...
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This is a dataset containing the potential distribution of Japanese brome (Bromus japonicus). We developed habitat suitability models for Japanese brome, as suggested by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1: https://doi.org/10.1371/journal.pone.0263056) and relied on human input based...
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We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed 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...
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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...
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Locations of and proportional abundance of non-native and synanthropic passerines were extracted from Breeding Bird Survey (BBS) data from 2010-2012. Information characterizing the spatial variation and the associated amount, aggregation, and diversity of developed and agricultural land cover types was extracted from the National Land Cover Datasets of 2011. Data supported analyses in the publication: Sofaer, H.R., C.H. Flather, C.S. Jarnevich, K.P. Davis, and L. Pejchar. Human-associated species dominate passerine communities across the United States. Global Ecology and Biogeography.
Context Anticipating where an invasive species could become abundant can help guide prevention and control efforts aimed at reducing invasion impacts. Information on potential abundance can be combined with information on the current status of an invasion to guide management towards currently uninvaded locations where the threat of invasion is high. Objectives We aimed to support management by developing predictive maps of potential cover for cheatgrass (Bromus tectorum), a problematic invader that can transform plant communities. We integrated our predictions of potential abundance with mapped estimates of current cover to quantify invasion potential within lightly invaded areas. Methods We used quantile regression...
Categories: Publication; Types: Citation


    map background search result map search result map Non-native and synanthropic bird data derived from 2010-2012 Breeding Bird Survey and associated landscape metrics from 2011 NLCD Creating a North Central Regional Invasive Species and Climate Change (NC RISCC) Management Network State-and-Transition Simulation Models of Buffelgrass in Saguaro National Park (2014-2044) to explore ecological uncertainties 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 Managing Ecological Transformation to Enhance Carbon Storage and Biodiversity Potential distribution of Japanese brome (Bromus japonicus) across the contiguous United States (October 2023) Management summary table for INHABIT species potential distribution across the contiguous United States: additional management units First and Second Record of US-RIIS Vascular Plant Species in Contiguous United States US non-native plant occurrence and abundance data and distribution maps for Eastern US species with current and future climate State-and-Transition Simulation Models of Buffelgrass in Saguaro National Park (2014-2044) to explore ecological uncertainties 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 Managing Ecological Transformation to Enhance Carbon Storage and Biodiversity Non-native and synanthropic bird data derived from 2010-2012 Breeding Bird Survey and associated landscape metrics from 2011 NLCD Thresholded abundance models for three invasive plant species in the United States Potential distribution of Japanese brome (Bromus japonicus) across the contiguous United States (October 2023) Management summary table for INHABIT species potential distribution across the contiguous United States: additional management units US non-native plant occurrence and abundance data and distribution maps for Eastern US species with current and future climate First and Second Record of US-RIIS Vascular Plant Species in Contiguous United States