Many managers are hampered by the scope of the invasive species problem compared to their available resources. Habitat suitability models of invaders can help fill this resource gap, helping with activities such as watch list compilation and targeted surveillance and eradication efforts.
USGS has formed a scientist-practitioner partnership to create suitability models for manager-identified priority terrestrial invasive plant species and deliver them via the Invasive Species Habitat Tool (INHABIT; https://gis.usgs.gov/inhabit), a publicly available web application with current geographic coverage across the contiguous United States. Our overall objective is to develop state-of-the-art risk assessment tools to inform prevention and early detection efforts of high-risk terrestrial invasive plant species. INHABIT provides practical information for over 200 invasive plant species, including downloadable maps and detailed tabular summaries of invasion risk for over 4,000 management units for federal land management agencies and U.S. counties. The maps can help prioritize control efforts by providing information on the scope of potential invasions and providing national and regional context to local invasions. Summaries of invasion risk and distance to known populations within focal management units can inform watch list creation for EDRR activities. INHABIT is in active development, with regular updates to models and functionality to better support the prevention and management of terrestrial invasive plant species.
We are working to deliver enhanced model outputs that focus on areas of higher impact and include newly established invasive species. Existing models predict suitability for occurrence based on location information within the contiguous US. Ongoing work will produce suitability models for different levels of abundance, as greater abundance relates to greater impact from invaders. We are working on fitting models with information from the globe for very recent plant invaders, or national scale ‘Early Detection and Rapid Response’ species, and high-risk species identified through horizon scanning.
We want to also predict the current distribution of abundant phenologically-distinct invasive plant species. We will use phenological information and remotely-sensed data with high temporal and spatial resolution, such as images from the recently launched Landsat 9, to map where species occur on the landscape. We can then compare our thresholded abundance models predicting habitat suitability to these newly derived maps predicting current distribution. The model results will help refine watch lists by targeting species that are predicted to become abundant, in addition to considering distance to recorded populations.
All of these elements will be incorporated into the INHABIT web tool through a coproduction process with managers, focusing on derived outputs that can help inform management decisions. This tool has been developed to share maps for species and tabular summaries of results for models of relative habitat suitability to inform actionable and forward-looking watch lists to aid surveillance to prevent establishment of novel invaders and inform early detection efforts. INHABIT helps managers decide which species to search for and where to direct search and control efforts.
INHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023)
INHABIT species potential distribution across the contiguous United States
Invaders at the doorstep: Using species distribution modeling to enhance invasive plant watch lists
INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States
Modelling presence versus abundance for invasive species risk assessment
A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales
- Overview
Many managers are hampered by the scope of the invasive species problem compared to their available resources. Habitat suitability models of invaders can help fill this resource gap, helping with activities such as watch list compilation and targeted surveillance and eradication efforts.
USGS has formed a scientist-practitioner partnership to create suitability models for manager-identified priority terrestrial invasive plant species and deliver them via the Invasive Species Habitat Tool (INHABIT; https://gis.usgs.gov/inhabit), a publicly available web application with current geographic coverage across the contiguous United States. Our overall objective is to develop state-of-the-art risk assessment tools to inform prevention and early detection efforts of high-risk terrestrial invasive plant species. INHABIT provides practical information for over 200 invasive plant species, including downloadable maps and detailed tabular summaries of invasion risk for over 4,000 management units for federal land management agencies and U.S. counties. The maps can help prioritize control efforts by providing information on the scope of potential invasions and providing national and regional context to local invasions. Summaries of invasion risk and distance to known populations within focal management units can inform watch list creation for EDRR activities. INHABIT is in active development, with regular updates to models and functionality to better support the prevention and management of terrestrial invasive plant species.
This is a screenshot of the INHABIT web-based decision support tool. We are working to deliver enhanced model outputs that focus on areas of higher impact and include newly established invasive species. Existing models predict suitability for occurrence based on location information within the contiguous US. Ongoing work will produce suitability models for different levels of abundance, as greater abundance relates to greater impact from invaders. We are working on fitting models with information from the globe for very recent plant invaders, or national scale ‘Early Detection and Rapid Response’ species, and high-risk species identified through horizon scanning.
We want to also predict the current distribution of abundant phenologically-distinct invasive plant species. We will use phenological information and remotely-sensed data with high temporal and spatial resolution, such as images from the recently launched Landsat 9, to map where species occur on the landscape. We can then compare our thresholded abundance models predicting habitat suitability to these newly derived maps predicting current distribution. The model results will help refine watch lists by targeting species that are predicted to become abundant, in addition to considering distance to recorded populations.
All of these elements will be incorporated into the INHABIT web tool through a coproduction process with managers, focusing on derived outputs that can help inform management decisions. This tool has been developed to share maps for species and tabular summaries of results for models of relative habitat suitability to inform actionable and forward-looking watch lists to aid surveillance to prevent establishment of novel invaders and inform early detection efforts. INHABIT helps managers decide which species to search for and where to direct search and control efforts.
- Data
INHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023)
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 numerINHABIT species potential distribution across the contiguous United States
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 numer - Publications
Invaders at the doorstep: Using species distribution modeling to enhance invasive plant watch lists
Watch lists of invasive species that threaten a particular land management unit are useful tools because they can draw attention to invasive species at the very early stages of invasion when early detection and rapid response efforts are often most successful. However, watch lists typically rely on the subjective selection of invasive species by experts or on the use of spotty occurrence records.AuthorsCatherine S. Jarnevich, Peder Engelstad, Jillian LaRoe, Brandon Hays, Terri Hogan, Jeremy Jirak, Ian Pearse, Janet S. Prevéy, Jennifer Sieraki, Annie Simpson, Jess Wenick, Nicholas Young, Helen SofaerINHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States
Narrowing the communication and knowledge gap between producers and users of scientific data is a longstanding problem in ecological conservation and land management. Decision support tools (DSTs), including websites or interactive web applications, provide platforms that can help bridge this gap. DSTs can most effectively disseminate and translate research results when producers and users collaboAuthorsPeder Engelstad, Catherine S. Jarnevich, Terri Hogan, Helen Sofaer, Ian Pearse, Jennifer Sieracki, Neil Frakes, Julia Sullivan, Nicholas E. Young, Janet S. Prevéy, Pairsa Nicole Belamaric, Jillian Marie LaroeModelling presence versus abundance for invasive species risk assessment
AimInvasive 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 suitAuthorsCatherine S. Jarnevich, Helen Sofaer, Peder EngelstadA modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales
Predictions of habitat suitability for invasive plant species can guide risk assessments at regional and national scales and inform early detection and rapid-response strategies at local scales. We present a general approach to invasive species modeling and mapping that meets objectives at multiple scales. Our methodology is designed to balance trade-offs between developing highly customized modelAuthorsNicholas E. Young, Catherine S. Jarnevich, Helen Sofaer, Ian Pearse, Julia Sullivan, Peder Engelstad, Thomas J. Stohlgren