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Summary written by Audrey Bowe, edited by Carrie Brown-Lima: Knowing where plants are is an essential component to effective invasive species prevention, management, and research. Particularly in the context of climate change, knowing where invasive plants exist on the landscape can help understand where they’re likely to spread and support early detection and rapid response (EDRR) to climate-driven invaders. In recent decades, invasive species data have been more widely collected and are increasingly accessible, however gaps and limitations in this information still exist. In this study, Fusco et al. seek to improve the understanding and use of these data among researchers and practitioners by synthesizing information on spatial data types and datasets available on invasive plants in the United States. They identify three sources of data: primary (on-the-ground) observation, modeled data, and data repositories, then break down each of these sources further into types with examples of public datasets, as well as potential uses and limitations.
Take home points:
Each of these types of spatial data has different best uses, limitations, and scale applications (see Table 2 of paper). For example, community science data are cost effective, but records may be unverified. As such, they are useful in supplementing EDRR efforts.
Management implications:
Flora of the Patuxent Research Refuge (pdf)
Why Should We Care About Invasive Species? Vanessa Beauchamp 5.3 MB pdf