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Multiscale Invasive Plant Monitoring: Experiences from the Greater Everglades Restoration Area

Published online by Cambridge University Press:  10 December 2017

LeRoy Rodgers ,
Tony Pernas ,
Jed Redwine ,
Brooke Shamblin  and
Shea Bruscia
LeRoy Rodgers*
Affiliation:
Lead Invasive Species Biologist, South Florida Water Management District, 3301 Gun Club Road, West Palm Beach, FL, USA
Tony Pernas
Affiliation:
Supervisory Botanist, Big Cypress National Preserve, 33100 Tamiami Trail, East Ochopee, FL, USA
Jed Redwine
Affiliation:
Ecologist, U.S. National Park Service, 950 N. Krome Avenue, Homestead, FL, USA
Brooke Shamblin
Affiliation:
Botanist, U.S. National Park Service, 18001 Old Cutler Rd. Suite 419, Palmetto Bay, FL, USA
Shea Bruscia
Affiliation:
Data Manager, U.S. National Park Service, 950 N. Krome Avenue, Homestead, FL, USA
*
Author for correspondence: LeRoy Rodgers, South Florida Water Management District, 3301 Gun Club Road, West Palm Beach, FL 33406. (Email: [email protected])
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Abstract

Obtaining spatially explicit, cost-effective, and management-relevant data on invasive plant distributions across large natural areas presents considerable challenges. This is especially true when multiple monitoring objectives exist, because the utility of different monitoring methodologies varies with scale, logistical considerations, and information needs. The Florida Everglades is a vast wetland landscape with widespread invasive plant infestations and multiple management jurisdictions. A multi-agency team Working Group conducted a workshop in 2013 to explore opportunities to enhance the performance of a regional weed control program. Among the most important developments occurring at this meeting was the recognition that relevant management questions are scale-dependent. This led the team to define multiple monitoring objectives. Essential for conveying the success of the weed management program is quantifying large-scale patterns of change, as are quantifying fine-scale patterns informing control activities, defining mechanisms of spread, recognizing accelerating rates of spread, and detecting patterns of occupancy immediately before management intervention. The group’s deliberation resulted in the emergence of a multiscale monitoring program utilizing several distinct monitoring protocols, including systematic landscape-level reconnaissance, a sample-based spatially stratified monitoring system, detailed inventories in planned treatment areas, and a set of methods focused solely on early detection and rapid response. Here we provide an overview of the Everglades multiscale invasive plant monitoring program, highlight benefits and challenges of each program component, and discuss how this program has improved regional invasive plant management.

Keywords

Krishna Reddy, United States Department of AgricultureExotic plantsdigital aerial sketch mappingEverglades Cooperative Invasive Species Management Areaspatially stratified monitoringlandscapevegetation management
Type
Symposium
Information
Weed Technology , Volume 32 , Issue 1 , February 2018 , pp. 11 - 19
Copyright
© Weed Science Society of America, 2017 

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References

Anderson, K, Gaston, KJ (2013) Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Front Ecol Environ 11:138–146 CrossRefGoogle Scholar
Cost, ND, Craver, GC (1981) Distribution of Melaleuca in south Florida measured from the air. Pages 1–8 in Proceedings of the Melaleuca Symposium. Ft. Myers, FL: Florida Department of Agriculture and Consumer Services, Division of ForestryGoogle Scholar
Dewey, SA, Andersen, KA (2004) Distinct roles of surveys, inventories, and monitoring in adaptive weed management. Weed Technol 18:1449–1452 Google Scholar
Doren, RF, Volin, JC, Richards, JH (2009) Invasive exotic plant indicators for ecosystem restoration: an example from the Everglades restoration program. Ecol Indic 9:S29–S36 Google Scholar
ECISMA (2017) Everglades Cooperative Invasive Species Management Area. http://www.evergladescisma.org/. Accessed May 5, 2017Google Scholar
EDDMapS (2017) Early Detection & Distribution Mapping System. https://www.eddmaps.org/. Accessed May 30, 2017Google Scholar
Hardin, P, Jackson, M, Anderson, V, Johnson, R (2007) Detecting squarrose knapweed (Centaurea virgata Lam. Ssp. squarrosa Gugl.) using a remotely piloted vehicle: a Utah case study. Gisci Remote Sens 44:203–219 Google Scholar
Hestir, EL, Khanna, S, Andrew, ME, Santos, MJ, Viers, JH, Greenberg, JA, Rajapakse, SS, Ustin, SL (2008) Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem. Remote Sens Environ 112:4034–4047 Google Scholar
Huang, CY, Asner, GP (2009) Applications of remote sensing to alien invasive plant studies. Sensors 9:4869–4889 Google Scholar
Joshi, C, de Leeuw, J, van Duren, IC (2004) Remote sensing and GIS applications for mapping and spatial modelling of invasive species. Pages 669–677 in Proceedings of the XXth Congress of the International Society for Photogrammetry and Remote Sensing. Istanbul, Turkey: International Society for Photogrammetry and Remote SensingGoogle Scholar
LaRoche, FB, Ferriter, A (1992) The rate of expansion of melaleuca in South Florida. J Aquat Plant Manag 30:62–65 Google Scholar
Lass, LW, Prather, TS, Glenn, NF, Weber, KT, Mundt, JT, Pettingill, J (2005) A review of remote sensing of invasive weeds and example of the early detection of spotted knapweed (Centaurea maculosa) and babysbreath (Gypsophila paniculata) with a hyperspectral sensor. Weed Sci 53:242–251 Google Scholar
Lodge, TE (2010) The Everglades Handbook: Understanding the Ecosystem. 3rd edn. Boca Raton, FL: CRC Press. 392 pGoogle Scholar
Maxwell, BD, Lehnhoff, E, Rew, LJ (2009) The rationale for monitoring invasive plant populations as a crucial step for management. Invas Plant Sci Manag 2:1–9 Google Scholar
Mueller-Dombois, D, Ellenberg, H (1974) Aims and Methods of Vegetation Ecology. New York: Wiley. 547 pGoogle Scholar
Pernas, T, Ferriter, A (2008) Cost-effective mapping of invasive plants using systematic reconnaissance flights (SRFs). Pages 118–120 in Proceedings of the 2007 Biennial Conference on Parks, Protected Areas, and Cultural Sites. Hancock, MI: The George Wright SocietyGoogle Scholar
Petty, AM, Setterfield, SA, Ferdinands, KB, Barrow, P (2012) Inferring habitat suitability and spread patterns from large-scale distributions of an exotic invasive pasture grass in north Australia. J Appl Ecol 49:742–752 Google Scholar
Phillippi, T (2007) Greater Everglades Landscape Statistical Design: Part A: Ridge, Slough, Tree Island, and Flow Monitoring. South Florida Water Management District. Rep. Purchase Order PC P60163B. 41 pGoogle Scholar
Rew, LJ, Maxwell, BD, Aspinall, R (2005) Predicting the occurrence of nonindigenous species using environmental and remotely sensed data. Weed Sci 53:236–241 Google Scholar
Rew, LJ, Maxwell, BD, Dougher, FL, Aspinall, R (2006) Searching for a needle in a haystack: Evaluating survey methods for non-indigenous plant species. Biol Invasions 8:523–539 CrossRefGoogle Scholar
Rodgers, L, Derksen, A, Pernas, T (2014a) Expansion and impact of laurel wilt in the Florida Everglades. Fla Entomol 97:1247–1250 Google Scholar
Rodgers, L, Mason, C, Bodle, M, Brown, R, Allen, E, Tipping, P, Rochford, M, Mazzotti, F, Peters, A, Renda, M, Beeler, C, Ketterlin-Eckles, J, Laroche, F, Segura, C, Serbesoff-King, K (2017) Status of Nonindigenous Species. South Florida Environmental Report. West Palm Beach, FL: South Florida Water Management District. 58 pGoogle Scholar
Rodgers, L, Pernas, T, Hill, SD (2014b) Mapping invasive plant distributions in the Florida Everglades using the digital aerial sketch mapping technique. Invas Plant Sci Manag 7:360–374 CrossRefGoogle Scholar
Schrader-Patton, C (2003) Digital aerial sketchmapping. USDA Forest Service—Engineering, Forest Health Technology Enterprise Team–Fort Collins, Remote Sensing Applications Center, Rep RSAC-1202-RPT2. 14 pGoogle Scholar
Shafii, B, Price, WJ, Prather, TS, Lass, LW, Thill, DC (2003) Predicting the likelihood of yellow starthistle (Centaurea solstitialis) occurrence using landscape characteristics. Weed Sci 51:748–751 Google Scholar
Shamblin, RB, Whelan, KT, Vargas, RM (2013) South Florida/Caribbean Network early detection protocol for invasive exotic plants: corridors of invasiveness. Fort Collins, CO, 152 pGoogle Scholar
Underwood, E, Ustin, S, DiPietro, D (2003) Mapping nonnative plants using hyperspectral imagery. Remote Sens Environ 86:150–161 Google Scholar
Watts, DL, Cohen, MJ, Heffernan, JB, Osborne, TZ (2010) Hydrologic modification and the loss of self-organized patterning in the ridge–slough mosaic of the Everglades. Ecosystems 13:813–827 Google Scholar