Skip to main content

Advertisement

SpringerLink
Log in

The invasive plant data landscape: a synthesis of spatial data and applications for research and management in the United States

  • Review
  • Published:
Landscape Ecology Aims and scope Submit manuscript

Abstract

Context

An increase in the number and availability of datasets cataloging invasive plant distributions offers opportunities to expand our understanding, monitoring, and management of invasives across spatial scales. These datasets, created using on-the-ground observations and modeling techniques, are made both for and by researchers and managers.

Objectives

The large number and variety of data types and associated datasets can be difficult to navigate, require high levels of data literacy, and can overwhelm the intended end-users. By providing a synthesis of available data types and datasets, this work may facilitate data understanding and use among researchers and managers.

Methods

We synthesize types of invasive plant distribution data sources, highlighting publicly available datasets and their potential applications and limitations for research and management.

Results

Eight data types and their potential applications for research and management are described. We also describe gaps in current invasive species distribution data usability and outline a path forward for improving the use of invasive plant data in future research and management.

Conclusions

Accessible and usable invasive plant spatial data are needed for developing landscape scale analysis and management plans. By synthesizing the invasive plant data available, with examples and limitations for application, this work will serve as a guide to facilitate appropriate and efficient data choices in current and future research and management.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  • Ahmed DA, Hudgins EJ, Cuthbert RN, Kourantidou M, Diagne C, Haubrock PJ, Leung B, Liu C, Leroy B, Petrovskii S, Beidas A, Courchamp F (2022) Managing biological invasions: the cost of inaction. Biol Invasions 24:1927–1946

    Article  Google Scholar 

  • Allen JM, Bradley BA (2016) Out of the weeds? Reduced plant invasion risk with climate change in the continental United States. Biol Conserv 203:306–312

    Article  Google Scholar 

  • Asner GP, Hughes RF, Vitousek PM, Knapp DE, Kennedy-Bowdoin T, Boardman J, Martin RE, Eastwood M, Green RO (2008) Invasive plants transform the three-dimensional structure of rain forests. Proc Natl Acad Sci USA 105(11):4519–4523

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Bargeron CT, Moorhead DJ (2007) EDDMapS—early detection and distribution mapping system for the southeast exotic pest plant council. Wildl Weeds 10:4–8

    Google Scholar 

  • Barnett DT, Adler PB, Chemel BR, Duffy PA, Enquist BJ, Grace JB, Harrison S, Peet RK, Schimel DS, Stohlgren TJ, Vellend M (2019) The plant diversity sampling design for the national ecological observatory network. Ecosphere 10(2):e02603

    Article  Google Scholar 

  • Beaury EM, Fusco EJ, Jackson MR, Laginhas BB, Morelli TL, Allen JM, Pasquarella VJ, Bradley BA (2020) Incorporating climate change into invasive species management: insights from managers. Biol Invasions 22:233–252

    Article  Google Scholar 

  • Bechtold WA, Patterson PL (2005) The enhanced Forest Inventory and Analysis program—national sampling design and estimation procedures. Gen. Tech. Rep. SRS-80. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. http://www.treesearch.fs.fed.us/pubs/20371

  • Bradley BA (2014) Remote detection of invasive plants: a review of spectral, textural and phenological approaches. Biol Invasions 16(7):1411–1425

    Article  Google Scholar 

  • Bradley BA (2017) Cheatgrass (Bromus tectorum) percent cover data, data and datasets. 1 https://doi.org/10.7275/R5XW4GZR

  • Bradley BA, Olsson AD, Wang O, Dickson BG, Pelech L, Sesnie SE, Zachmann LJ (2012) Species detection vs. habitat suitability: are we biasing habitat suitability models with remotely sensed data? Ecol Model 244:57–64

    Article  Google Scholar 

  • Bradley BA, Early R, Sorte CJ (2015) Space to invade? Comparative range infilling and potential range of invasive and native plants. Glob Ecol Biogeogr 24(3):348–359

    Article  Google Scholar 

  • Bradley BA, Allen JM, O’Neill MW, Wallace RD, Bargeron CT, Richburg JA, Stinson K (2018b) Invasive species risk assessments need more consistent spatial abundance data. Ecosphere 9(7):e02302

    Article  Google Scholar 

  • Bradley BA, Curtis CA, Fusco EJ, Abatzoglou JT, Balch JK, Dadashi S, Tuanmu MN (2018a) Cheatgrass (Bromus tectorum) distribution in the intermountain Western United States and its relationship to fire frequency, seasonality, and ignitions. Biol Invasions 20:1493–1506

    Article  Google Scholar 

  • Bradley BA, Beaury EM, Fusco EJ, Munro L, Brown-Lima C, Coville W, Kesler B, Olmstead N, Parker J (2022) Breaking down barriers to consistent, climate-smart regulation of invasive plants: a case study of US Northeast states. Ecosphere 13:e4014

    Article  Google Scholar 

  • Bruelheide H, Dengler J, Jiménez-Alfaro B, Purschke O, Hennekens SM, Chytrý M, Pillar VD, Jansen F, Kattge J, Sandel B, Aubin I, Biurrun I, Field R, Haider S, Jandt U, Lenoir J, Peet RK, Peyre G, Sabatini FM, Schmidt M, Schrodt F, Winter M, Aćić S, Agrillo E, Alvarez M, Ambarlı D, Angelini P, Apostolova I, Arfin Khan MAS, Arnst E, Attorre F, Baraloto C, Beckmann M, Berg C, Bergeron Y, Bergmeier E, Bjorkman AD, Bondareva V, Borchardt P, Botta-Dukát Z, Boyle B, Breen A, Brisse H, Byun C, Cabido MR, Casella L, Cayuela L, Černý T, Chepinoga V, Csiky J, Curran M, Ćušterevska R, Dajić SZ, De Bie E, de Ruffray P, De Sanctis M, Dimopoulos P, Dressler S, Ejrnæs R, El-Sheikh MAERM, Enquist B, Ewald J, Fagúndez J, Finckh M, Font X, Forey E, Fotiadis G, García-Mijangos I, de Gasper AL, Golub V, Gutierrez AG, Hatim MZ, He T, Higuchi P, Holubová D, Hölzel N, Homeier J, Indreica A, Işık GD, Jansen S, Janssen J, Jedrzejek B, Jiroušek M, Jürgens N, Kącki Z, Kavgacı A, Kearsley E, Kessler M, Knollová I, Kolomiychuk V, Korolyuk A, Kozhevnikova M, Kozub Ł, Krstonošić D, Kühl H, Kühn I, Kuzemko A, Küzmič F, Landucci F, Lee MT, Levesley A, Li C, Liu H, Lopez-Gonzalez G, Lysenko T, Macanović A, Mahdavi P, Manning P, Marcenò C, Martynenko V, Mencuccini M, Minden V, Moeslund JE, Moretti M, Müller JV, Munzinger J, Niinemets Ü, Nobis M, Noroozi J, Nowak A, Onyshchenko V, Overbeck GE, Ozinga WA, Pauchard A, Pedashenko H, Peñuelas J, Pérez-Haase A, Peterka T, Petřík P, Phillips OL, Prokhorov V, Rašomavičius V, Revermann R, Rodwell J, Ruprecht E, Rūsiņa S, Samimi C, Schaminée JHJ, Schmiedel U, Šibík J, Šilc U, Škvorc Ž, Smyth A, Sop T, Sopotlieva D, Sparrow B, Stančić Z, Svenning J, Swacha G, Tang Z, Tsiripidis I, Turtureanu PD, Uğurlu E, Uogintas D, Valachovič M, Vanselow KA, Vashenyak Y, Vassilev K, Vélez-Martin E, Venanzoni R, Vibrans AC, Violle C, Virtanen R, von WH, Wagner V, Walker DA, Wana D, Weiher E, Wesche K, Whitfeld T, Willner W, Wiser S, Wohlgemuth T, Yamalov S, Zizka G, Zverev A (2019) sPlot—a new tool for global vegetation analyses. J Veg Sci 30(2):161–186

    Article  Google Scholar 

  • Castro-Díez P, Godoy O, Alonso A, Gallardo A, Saldaña A (2014) What explains variation in the impacts of exotic plant invasions on the nitrogen cycle? A meta-analysis. Ecol Lett 17(1):1–12

    Article  PubMed  Google Scholar 

  • Cordell S, Questad EJ, Asner GP, Kinney KM, Thaxton JM, Uowolo A, Brooks S, Chynoweth MW (2017) Remote sensing for restoration planning: how the big picture can inform stakeholders. Restor Ecol 25:S147–S154

    Article  Google Scholar 

  • Coville W, Griffin BJ, Bradley BA (2021) Identifying high-impact invasive plants likely to shift into northern New England with climate change. Invasive Plant Sci Manag 14:57–63

    Article  Google Scholar 

  • Culina A, Baglioni M, Crowther TW, Visser ME, Woutersen-Windhouwer S, Manghi P (2018) Navigating the unfolding open data landscape in ecology and evolution. Nat Ecol Evol 2(3):420–426

    Article  PubMed  Google Scholar 

  • Dahal D, Boyte SP, Parajuli S, Pastick NJ, Oimoen MJ, Shrestha D (2022) Early estimates of exotic annual grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 2022): U.S. Geological Survey data release. https://doi.org/10.5066/P9FVYOGD

  • D’Antonio CM, Vitousek PM (1992) Biological invasions by exotic grasses, the grass/fire cycle, and global change. Annu Rev Ecol Syst 23:63–87

    Article  Google Scholar 

  • De Cáceres M (2018) Sobre el intercambio de datos de vegetación: el estándar ‘Veg-X’y el paquete de R ‘VegX.’ Ecosistemas 27(1):128–129

    Article  Google Scholar 

  • Early R, Bradley BA, Dukes JS, Lawler JJ, Olden JD, Blumenthal DM, Gonzalez P, Grosholz ED, Ibáñez I, Miller LP, Sorte CJ, Tatem AJ (2016) Global threats from invasive alien species in the twenty-first century and national response capacities. Nat Commun 7:1–9

    Article  Google Scholar 

  • Encarnação J, Teodósio MA, Morais P (2021) Citizen science and biological invasions: a review. Front Environ Sci 8:602980

    Article  Google Scholar 

  • Engelstad P, Jarnevich CS, Hogan T, Sofaer HR, Pearse IS, Sieracki JL, Frakes N, Sullivan J, Young NE, Prevéy JS, Belamaric P, LaRoe J (2022) INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States. PLoS ONE 17(2):e0263056

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Flory SL, Clay K (2009) Effects of roads and forest successional age on experimental plant invasions. Biol Conserv 142(11):2531–2537

    Article  Google Scholar 

  • Geldmann J, Heilmann-Clausen J, Holm TE, Levinsky I, Markussen BO, Olsen K, Rahbek C, Tøttrup AP (2016) What determines spatial bias in citizen science? Exploring four recording schemes with different proficiency requirements. Divers Distrib 22(11):1139–1149

    Article  Google Scholar 

  • Gill NS, Mahood AL, Meier CL, Muthukrishnan R, Nagy RC, Stricker E, Duffy KA, Petri L, Morisette JT (2021) Six central questions about biological invasions to which NEON data science is poised to contribute. Ecosphere 12(9):e03728

    Article  Google Scholar 

  • Gray AN, Baer KC, Witt C (2021) Chapter 8: Invasive Plants. In: Barrett TM, Robertson GC. [eds]. Disturbance and sustainability in forests of the Western United States. Gen. Tech. Rep. PNW-GTR-992. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 161–190.

  • Hoard S, Sanders C, Anderson B (2020) Invasive Species Capabilities and Capacity Survey—Tribal Governments. Washington Invasive Species Council Report

  • Howard L, van Rees CB, Dahlquist Z, Luikart G, Hand BK (2022) A review of invasive species reporting apps for citizen science and opportunities for innovation. NeoBiota 71:165–188

    Article  Google Scholar 

  • Huang CY, Asner GP (2009) Applications of remote sensing to alien invasive plant studies. Sensors 9(6):4869–4889

    Article  PubMed  PubMed Central  Google Scholar 

  • IPBES (2019) Global assessment report on biodiversity and ecosystem services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services. E. S. Brondizio, J. Settele, S. Díaz, and H. T. Ngo (editors). IPBES secretariat, Bonn, Germany. 1148

  • Iverson LR, McKenzie D (2013) Tree-species range shifts in a changing climate: detecting, modeling, assisting. Landsc Ecol 28:879–889

    Article  Google Scholar 

  • Jarnevich CS, LaRoe JM, Engelstad PS, Sullivan JR (2021a) INHABIT species potential distribution across the contiguous United States. U.S. Geological Survey data release. https://doi.org/10.5066/P92476V6

  • Jarnevich CS, Sofaer HR, Engelstad P (2021b) Modelling presence versus abundance for invasive species risk assessment. Divers Distrib 27(12):2454–2464

    Article  Google Scholar 

  • Jeschke JM, Strayer DL (2008) Usefulness of bioclimatic models for studying climate change and invasive species. Ann N Y Acad Sci 1134(1):1–24

    Article  PubMed  Google Scholar 

  • Joppa LN, O’Connor B, Visconti P, Smith C, Geldmann J, Hoffmann M, Watson JE, Butchart SH, Virah-Sawmy M, Halpern BS, Ahmed SE, Balmford A, Sutherland WJ, Harfoot M, Hilton-Taylor C, Foden W, Minin ED, Pagad S, Genovesi P, Hutton J, Burgess ND (2016) Filling in biodiversity threat gaps. Science 352:416–418

    Article  CAS  PubMed  Google Scholar 

  • Keller RP, Lodge DM, Finnoff DC (2007) Risk assessment for invasive species produces net bioeconomic benefits. Proc Natl Acad Sci USA 104:203–207

    Article  CAS  PubMed  Google Scholar 

  • Keller M, Schimel DS, Hargrove WW, Hoffman FM (2008) A continental strategy for the National Ecological Observatory Network. Front Ecol Environ 6(5):282–284

    Article  Google Scholar 

  • Kosmala M, Wiggins A, Swanson A, Simmons B (2016) Assessing data quality in citizen science. Front Ecol Environ 14:551–560

    Article  Google Scholar 

  • Laginhas BB, Bradley BA (2022) Global plant invaders: a compendium of invasive plant taxa documented by the peer-reviewed literature. Ecology 103(2):e03569

    Article  PubMed  Google Scholar 

  • Latzka AW, Hansen GJ, Kornis M, Vander Zanden MJ (2016) Spatial heterogeneity in invasive species impacts at the landscape scale. Ecosphere 7(3):e01311

    Article  Google Scholar 

  • Lee-Yaw JA, McCune J, Pironon S (2022) Species distribution models rarely predict the biology of real populations. Ecography 2022:e05877

    Article  Google Scholar 

  • Levin SA (1992) The problem of pattern and scale in ecology: the Robert H. MacArthur Award lecture. Ecology 73:1943–1967

    Article  Google Scholar 

  • Li D, Record S, Sokol ER, Bitters ME, Chen MY, Chung YA, Helmus MR, Jaimes R, Jansen L, Jarzyna MA, Just MG, LaMontagne JM, Melbourne BA, Moss W, Norman KEA, Parker SM, Robinson N, Seyednasrollah B, Smith C, Spaulding S, Surasinghe TD, Thomsen SK, Zarnetske PL (2022) Standardized NEON organismal data for biodiversity research. Ecosphere 13:e4141

    Article  Google Scholar 

  • Lopez BE, Allen JM, Dukes JS, Lenoir J, Vilà M, Blumenthal DM, Beaury EM, Fusco EJ, Laginhas BB, Morelli TL, O’Neill MW, Sorte CJB, Maceda-Veiga A, Whitlock R, Bradley BA (2022) Global environmental changes more frequently offset than intensify detrimental effects of biological invasions. Proc Natl Acad Sci 119(22):e2117389119

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Lunch C, Laney C, Mietkiewicz N, Sokol E, Cawley K (2021) Utilities for Working with NEON Data. R package version 2.1.3 https://CRAN.R-project.org/package=neonUtilities

  • Lutes DC, Benson NC, Keifer M, Caratti JF, Streetman SA (2009) FFI: a software tool for ecological monitoring. Int J Wildl Fire 18(3):310–314

    Article  Google Scholar 

  • Mahood AL, Jones RO, Board DI, Balch JK, Chambers JC (2022) Interannual climate variability mediates changes in carbon and nitrogen pools caused by annual grass invasion in a semiarid shrubland. Glob Change Biol 28(1):267–284

    Article  CAS  Google Scholar 

  • Martinez B, Reaser JK, Dehgan A, Zamft B, Baisch D, McCormick C, Giordano AJ, Aicher R, Selbe S (2020) Technology innovation: advancing capacities for the early detection of and rapid response to invasive species. Biol Invasions 22:75–100

    Article  Google Scholar 

  • Maund PR, Irvine KN, Lawson B, Steadman J, Risely K, Cunningham AA, Davies ZG (2020) What motivates the masses: understanding why people contribute to conservation citizen science projects. Biol Conserv 246:108587

    Article  PubMed  PubMed Central  Google Scholar 

  • Michener WK (2015) Ecological data sharing. Eco Inform 29:33–44

    Article  Google Scholar 

  • Millerand F, Baker KS (2020) Data infrastructures in ecology: an infrastructure studies perspective. Oxford Research Encyclopedia of Environmental Science. 27. Oxford University Press. Date of access 14 Dec. 2022. https://doi.org/10.1093/acrefore/9780199389414.013.554

  • Morelli TL, Brown-Lima CJ, Allen JM, Beaury EM, Fusco EJ, Barker-Plotkin A, Laginhas BB, Quirion BR, Griffin B, McLaughlin B, Munro L, Olmstead N, Richburg J, Bradley BA (2021) Translational invasion ecology: bridging research and practice to address one of the greatest threats to biodiversity. Biol Invasions 23(11):3323–3335

    Article  Google Scholar 

  • Munro L, Griffin B, Laginhas B, Bradley BA (in review). Does invasion science encompass the invaded range? A comparison of the geographies of invasion science versus management in the U.S

  • Nagy RC, Fusco EJ, Balch JK, Finn JT, Mahood AL, Allen JM, Bradley BA (2021a). Data from: a synthesis of the effects of cheatgrass invasion on U.S. Great Basin carbon storage. Dryad Digital Repository, https://doi.org/10.5061/dryad.4mw6m9082

  • Nagy RC, Balch JK, Bissell EK, Cattau ME, Glenn NF, Halpern BS, Ilangakoon N, Johnson B, Joseph MB, Marconi S, O’Riordan C, Sanovia J, Swetnam TL, Travis WR, Wasser LA, Woolner E, Zarnetske P, Abdulrahim M, Adler J, Barnes G, Bartowitz KJ, Blake RE, Bombaci SP, Brun J, Buchanan J D, Chadwick KD, Chapman MS, Chong SS, Chung YA, Corman JR, Couret J, Crispo E, Doak TG, Donnelly A, Duffy KA, Dunning KH, Duran SM, Edmonds JW, Fairbanks DE, Felton AJ, Florian CR, Gann D, Gebhardt M, Gill NS, Gram WK, Guo JS, Harvey BJ, Hayes KR, Helmus MR, Hensley RT, Hondula KL, Huang T, Hundertmark WJ, Iglesias V, Jacinthe P-A, Jansen LS, Jarzyna MA, Johnson TM, Jones KD, Jones MA, Just MG, Kaddoura YO, Kagawa-Vivani AK, Kaushik A, Keller AB, King KBS, Kitzes J, Koontz MJ, Kouba PV, Kwan W-Y, LaMontagne JM, LaRue EA, Li D, Li B, Lin Y, Liptzin D, Long WA, Mahood AL, Malloy SS, Malone SL, McGlinchy JM, Meier CL, Melbourne BA, Mietkiewicz N, Morisette JT, Moustapha M, Muscarella C, Musinsky J, Muthukrishnan R, Naithani K, Neely M, Norman K, Parker SM, Perez Rocha M, Petri L, Ramey C A, Record S, Rossi MW, SanClements M, Scholl VM, Schweiger AK, Seyednasrollah B, Sihi D, Smith KR, Sokol ER, Spaulding SA, Spiers AI, St Denis LA, Staccone AP, Stack Whitney K, Stanitski DM, Stricker E, Surasinghe TD, Thomsen SK, Vasek PM, Xiaolu L, Yang D, Yu R, Yule KM, Zhu K (2021b) Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community. Ecosphere 12(12):e03833

    Article  Google Scholar 

  • NAISMA (2018) Mapping Standards for Program Managers. North American Invasive Species Management Association. Milwaukee, WI https://www.naisma.org/images/mappingstandardsfinal.pdf. accessed 18 July 2022

  • Nietupski TC (2021) Characterizing an annual grass invasion and its link to environmental and disturbance factors using remote sensing: New tools and applications. Oregon State University. Dissertation, Oregon State University

  • Niphadkar M, Nagendra H (2016) Remote sensing of invasive plants: incorporating functional traits into the picture. Int J Remote Sens 37(13):3074–3085

    Article  Google Scholar 

  • O’Brien M, Smith CA, Sokol ER, Gries C, Lany N, Record S, Castorani MCN (2021) ecocomDP: a flexible data design pattern for ecological community survey data. Ecol Inform 64:101374

    Article  Google Scholar 

  • Oswalt CM, Oswalt SN, Zimmerman L (2012) Updating the southern nonnative plant watch list: the future of NNIP Monitoring in the south. In Morin, Randall S, Liknes, Greg C., comps. Moving from status to trends: Forest Inventory and Analysis (FIA) symposium 2012; 2012 December 4–6; Baltimore, MD. Gen. Tech. Rep. NRS-P-105. Newtown Square, PA: US Department of Agriculture, Forest Service, Northern Research Station. [CD-ROM]: 274–277. pp 274–277

  • Parker K, Elmes A, Boucher P, Hallett RA, Thompson JE, Simek Z, Bowers J, Reinmann AB (2021) Crossing the great divide: bridging the researcher-practitioner gap to maximize the utility of remote sensing for invasive species monitoring and management. Remote Sens 13(20):4142. https://doi.org/10.3390/rs13204142

    Article  Google Scholar 

  • Pascual A, Giardina CP, Povak NA, Hessburg PF, Heider C, Salminen E, Asner GP (2022) Optimizing invasive species management using mathematical programming to support stewardship of water and carbon-based ecosystem services. J Environ Manag 301:113803

    Article  Google Scholar 

  • Petri L, Beaury EM, Corbin J, Peach K, Sofaer H, Pearse IS, Early R, Barnett DT, Ibáñez I, Peet RK, Schafale M, Wentworth TR, Vanderhorst JP, Zaya DN, Spyreas G, Bradley BA (2022) SPCIS: standardized plant community with introduced status database. Ecology. https://doi.org/10.1002/ecy.3947

    Article  Google Scholar 

  • Potter K, Riitters K, Guo Q (2022) Non-native tree regeneration indicates regional and national risks from current invasions. Front for Global Change 5:966407

    Article  Google Scholar 

  • Powell KI, Chase JM, Knight TM (2011) A synthesis of plant invasion effects on biodiversity across spatial scales. Am J Bot 98(3):539–548

    Article  PubMed  Google Scholar 

  • Pyšek P, Hulme PE, Simberloff D, Bacher S, Blackburn TM, Carlton JT, Dawson W, Essl F, Foxcroft LC, Genovesi P, Jeschke JM, Kühn I, Liebhold AM, Mandrak NE, Meyerson LA, Pauchard A, Pergl J, Roy HE, Seebens H, van Kleunen M, Vilà M, Wingfield MJ, Richardson DM (2020) Scientists’ warning on invasive alien species. Biol Rev 95(6):1511–1534

    Article  PubMed  Google Scholar 

  • Richardson DM, Pyšek P, Rejmanek M, Barbour MG, Panetta FD, West CJ (2000) Naturalization and invasion of alien plants: concepts and definitions. Divers Distrib 6(2):93–107

    Article  Google Scholar 

  • Sheffield K, Dugdale T (2020) Supporting urban weed biosecurity programs with remote sensing. Remote Sensing 12(12):2007

    Article  Google Scholar 

  • Shyvers JE, Tarbox BC, Van Schmidt ND, Saher DJ, Heinrichs JA, Aldridge CL (2022) Database of invasive annual grass spatial products for the western United States January 2010 to February 2021: U. S. Geological Survey data release. https://doi.org/10.5066/P9VW97AO

  • Simpson A, Morisette JT, Fuller P, Reaser J, Guala GF (2020) Catalog of U.S. Federal Early Detection/Rapid Response Invasive Species Databases and Tools: Version 2.0 (ver. 2.0, 2020): U.S. Geological Survey data release. https://doi.org/10.5066/P9CNVBYR.

  • Smith C, Sokol E, O'Brien M (2022) ecocomDP: Tools to Create, Use, and Convert ecocomDP Data. R package version 1.2.1 https://CRAN.R-project.org/package=ecocomDP

  • Sofaer HR, Jarnevich CS, Pearse IS, Smyth RL, Auer S, Cook GL, Edwards Jr TC, Guala GF, Howard TG, Morisette JT, Hamilton H (2019) The development and delivery of species distribution models to inform decision-making. Bioscience 69(7):544–557

    Article  Google Scholar 

  • Srivastava V, Lafond V, Griess VC (2019) Species distribution models (SDM): applications, benefits and challenges in invasive species management. CABI Reviews 1–13. https://doi.org/10.1079/PAVSNNR201914020

  • Stanke H, Finley AO, Weed AS, Walters BF, Domke GM (2020) rFIA: an R package for estimation of forest attributes with the US Forest Inventory and Analysis database. Environ Model Softw 127:104664

    Article  Google Scholar 

  • Stohlgren TJ, Chong GW, Schell LD, Rimar KA, Otsuki Y, Lee M, Kalkhan MA, Villa CA (2002) Assessing vulnerability to invasion by nonnative plant species at multiple spatial scales. Environ Manage 29(4):566–577

    Article  PubMed  Google Scholar 

  • Stohlgren TJ, Barnett D, Flather C, Fuller P, Peterjohn B, Kartesz J, Master LL (2006) Species richness and patterns of invasion in plants, birds, and fishes in the United States. Biol Invasions 8(3):427–447

    Article  Google Scholar 

  • Tarbox BC, Van Schmidt ND, Shyvers JE, Saher DJ, Heinrichs JA, Aldridge CL (2022) Bridging the gap between spatial modeling and management of invasive annual grasses in the imperiled sagebrush biome. Rangel Ecol Manage 82:104–115

    Article  Google Scholar 

  • Tenopir C, Allard S, Douglass K, Aydinoglu AU, Wu L, Read E, Manoff M, Frame M (2011) Data sharing by scientists: practices and perceptions. PLoS ONE 6(6):e21101

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Tinkham WT, Mahoney PR, Hudak AT, Domke GM, Falkowski MJ, Woodall CW, Smith AM (2018) Applications of the United States Forest Inventory and Analysis dataset: A review and future directions. Can J for Res 48(11):1251–1268

    Article  Google Scholar 

  • USDA Forest Service Manual 2900 – Invasive Species Management. Chapter Zero Code (2011) Washington D.C. https://www.fs.usda.gov/im/directives/dughtml/fsm2000.html

  • Václavík T, Meentemeyer RK (2012) Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion. Divers Distrib 18(1):73–83

    Article  Google Scholar 

  • Van Schmidt ND, Shyvers JE, Saher DJ, Tarbox BC, Heinrichs JA, Aldridge CL (2022) A user guide to selecting invasive annual grass spatial products for the western United States (No. 2022–3001). US Geological Survey. https://doi.org/10.3133/fs20223001

  • Vaz AS, Alcaraz-Segura D, Campos JC, Vicente JR, Honrado JP (2018) Managing plant invasions through the lens of remote sensing: a review of progress and the way forward. Sci Total Environ 642:1328–1339

    Article  CAS  PubMed  Google Scholar 

  • Vaz AS, Alcaraz-Segura D, Vicente JR, Honrado JP (2019) The many roles of remote sensing in invasion science. Front Ecol Evol 7:1–10

    Article  Google Scholar 

  • Vilà M, Espinar JL, Hejda M, Hulme PE, Jarošík V, Maron JL, Pergl J, Schaffner U, Sun Y, Pyšek P (2011) Ecological impacts of invasive alien plants: a meta-analysis of their effects on species, communities and ecosystems. Ecol Lett 14(7):702–708

    Article  PubMed  Google Scholar 

  • Wallace RD, Bargeron IV CT, Moorhead DJ, LaForest JH (2018) Information management relevant to invasive species early detection and rapid response programs. National Invasive Species Council Contractor’s Report

  • Wallace RD, Bargeron CT, Reaser JK (2020) Enabling decisions that make a difference: guidance for improving access to and analysis of invasive species information. Biol Invasions 22(1):37–45

    Article  Google Scholar 

  • West AM, Kumar S, Wakie T, Brown CS, Stohlgren TJ, Laituri M, Bromberg J (2015) Using high-resolution future climate scenarios to forecast Bromus tectorum invasion in Rocky Mountain National Park. PLoS ONE 10(2):e0117893

    Article  PubMed  PubMed Central  Google Scholar 

  • Wilkinson MD, Dumontier M, Aalbersberg IJ, Appleton G, Axton M, Baak A, Blomberg N, Boiten J, da Silva SLB, Bourne PE, Bouwman J, Brookes AJ, Clark T, Crosas M, Dillo I, Dumon O, Edmunds S, Evelo CT, Finkers R, Gonzalez-Beltran A, Gray AJG, Groth P, Goble C, Grethe JS, Heringa J, ’t Hoen PAC, Hooft R, Kuhn T, Kok R, Kok J, Lusher SJ, Martone ME, Mons A, Packer AL, Persson B, Rocca-Serra P, Roos M, van Schaik R, Sansone S, Schultes E, Sengstag T, Slater T, Strawn G, Swertz MA, Thompson M, van der Lei J, van Mulligen E, Velterop J, Waagmeester A, Wittenburg P, Wolstencroft K, Zhao J, Mons B (2016) The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data 3(1):1–9

    Article  Google Scholar 

  • Wiser SK (2016) Achievements and challenges in the integration, reuse and synthesis of vegetation plot data. J Veg Sci 27(5):868–879

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank Andrew Gray and two anonymous reviewers for their helpful comments which greatly improved this manuscript. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Funding

This research was supported in part by appointments (E.J.F. and T.N.) to the United States Forest Service (USFS) Research Participation Program administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between the U.S. Department of Energy (DOE) and the U.S. Department of Agriculture (USDA). ORISE is managed by ORAU under DOE contract number DE-SC0014664. All opinions expressed in this paper are the author's and do not necessarily reflect the policies and views of USDA, DOE, or ORAU/ORISE. Funding for R.C.N. was provided by Earth Lab through the University of Colorado Boulder's Grand Challenge Initiative, the Cooperative Institute for Research in Environmental Sciences (CIRES), and the U.S. Geological Survey Award #G21AC10278-00. B.A.B. was supported by U.S. Geological Survey Award #G21AC10233-00.

Author information

Authors and Affiliations

  1. ORISE Fellow Hosted at the U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Olympia, USA

    Emily J. Fusco

  2. High Meadows Environmental Institute and Ecology and Evolutionary Biology, Princeton University, Princeton, USA

    Evelyn M. Beaury

  3. Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, USA

    Bethany A. Bradley

  4. U.S. Department of Agriculture, Forest Service, Northern Region, Missoula, USA

    Michelle Cox

  5. U.S. Geological Survey, Fort Collins Science Center, Fort Collins, USA

    Catherine S. Jarnevich

  6. Earth Lab, University of Colorado Boulder, Boulder, USA

    Adam L. Mahood & R. Chelsea Nagy

  7. U.S Department of Agriculture, Agricultural Research Service, Water Resources, Fort Collins, USA

    Adam L. Mahood

  8. US Department of Agriculture, Forest Service, Geospatial Technology and Applications Center, Fort Collins, USA

    Ty Nietupski

  9. Northwest Climate Hub and Western Wildland Environmental Threat Assessment Center, U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Olympia, USA

    Jessica E. Halofsky

  10. ORISE Fellow Hosted at the U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Corvallis, USA

    Ty Nietupski

Authors
  1. Emily J. Fusco
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Evelyn M. Beaury
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bethany A. Bradley
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Michelle Cox
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Catherine S. Jarnevich
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Adam L. Mahood
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. R. Chelsea Nagy
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Ty Nietupski
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Jessica E. Halofsky
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

EJF conceptualized the manuscript, led the manuscript, and created Figs. 1–3. ALM created the supplemental figure. All authors wrote the first draft, edited subsequent drafts, and approved the final version of the manuscript.

Corresponding author

Correspondence to Emily J. Fusco.

Ethics declarations

Competing interests

The authors have no relevant financial or non-financial interests to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 261 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fusco, E.J., Beaury, E.M., Bradley, B.A. et al. The invasive plant data landscape: a synthesis of spatial data and applications for research and management in the United States. Landsc Ecol 38, 3825–3843 (2023). https://doi.org/10.1007/s10980-023-01623-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10980-023-01623-z

Keywords

Search

Navigation