Skip to main content
×
Home
    • Aa
    • Aa

Prioritizing Invasive Plant Management with Multi-Criteria Decision Analysis

  • Matthew G. Hohmann (a1), Michael G. Just (a2), Peter J. Frank (a3), Wade A. Wall (a1) and Janet B. Gray (a4)...
Abstract
Abstract

Prioritizing management of invasive plants is important for large land management entities, such as federal and state public land stewards, because management resources are limited and multiple land uses and management objectives are differentially impacted. Management decisions also have important consequences for the likelihood of success and ultimate cost of control efforts. We applied multi-criteria decision analysis methods in a geographic information system using natural resource and land use data from Fort Bragg, North Carolina. Landscape-scale prioritization was based on a hierarchical model designed to increase invasive plant management efficiencies and reduce the risk of impacts to key installation management goals, such as training-land management and protected species conservation. We also applied spatial sensitivity analyses to evaluate the robustness of the prioritization to perturbations of the model weights, which were used to describe the relative importance of different elements of the hierarchical model. Based on stakeholders' need for confidence in making management investments, we incorporated the results of the sensitivity analysis into the decision-making process. We identified high-priority sites that were minimally affected by the weight perturbations as being suitable for up-front management and evaluated how adopting this strategy affected management area, locations, and costs. We found that incorporating the results of the sensitivity analysis led to a reduced management area, different target locations, and lower costs for an equal area managed. Finally, we confirmed the distinctiveness of the approach by comparing this same subset of prioritized sites with locations representing species-centric strategies for three invasive plants and their aggregate distribution. By supplying pragmatic information about the localized effects of weighting uncertainty, spatial sensitivity analyses enhanced the invasive plant management decision-making process and increased stakeholder confidence.

Copyright
Corresponding author
Corresponding author's E-mail: matthew.g.hohmann@us.army.mil
Linked references
Hide All

This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

O. J. Cacho , R. M. Wise , S. M. Hester , and J. A. Sinden 2008. Bioeconomic modeling for control of weeds in natural environments. Ecol. Econ. 65:559568.

H. Chen and D. F. Kocaoglu 2008. A sensitivity analysis algorithm for hierarchical decision models. Eur. J. Oper. Res. 185:266288.

D. C. Christen and G. R. Matlack 2009. The habitat and conduit functions of roads in the spread of three invasive plant species. Biol. Invasions 11:453465.

S. R. Coutts , R. D. van Klinken , H. Yokomizo , and Y. M. Buckley 2011. What are the key drivers of spread in invasive plants: dispersal, demography, or landscape: and how can we use this knowledge to aid management? Biol. Invasions 13:16491661.

K. W. Davies and R. L. Sheley 2007. A conceptual framework for preventing the spatial dispersal of invasive plants. Weed Sci. 55:178184.

M. Delgado and J. B. Sendra 2004. Sensitivity analysis in multicriteria spatial decision-making: a review. Hum. Ecol. Risk Assess. 10:11731187.

R. S. Epanchin-Niell and A. Hastings 2010. Controlling established invaders: integrating economics and spread dynamics to determine optimal management. Ecol. Lett. 13:528541.

R. D. Feick and G. B. Hall 2004. A method for examining the spatial dimension of multi-criteria weight sensitivity. Int. J. Geogr. Inf. Sci. 18:815840.

D. Finnoff , J. F. Shogren , B. Leung , and D. Lodge 2007. Take a risk: preferring prevention over control of biological invaders. Ecol. Econ. 62:216222.

D. Geneletti 2004. A GIS-based decision support system to identify nature conservation priorities in an alpine valley. Land Use Policy 21:149160.

K. M. Giljohann , C. E. Hauser , N. S. G. Williams , and J. L. Moore 2011. Optimizing invasive species control across space: willow invasion management in the Australian Alps. J. Appl. Ecol. 48:12861294.

R. Greene , J. E. Luther , R. Devillers , and B. Eddy 2010. An approach to GIS-based multiple criteria decision analysis that integrates exploration and evaluation phases: case study in a forest-dominated landscape. For. Ecol. Manag. 260:21022114.

F. Grevstad 2005. Simulating control strategies for a spatially structured weed invasion: Spartina alterniflora (Loisel) in Pacific Coast estuaries. Biol. Invasions 7:665677.

S. Guikema and M. Milke 1999. Quantitative decision tools for conservation programme planning: practice, theory and potential. Environ. Conserv. 26:179189.

S. A. Hajkowicz 2008. Supporting multi-stakeholder environmental decisions. J. Environ. Manage. 88:607614.

S. I. Higgins , D. M. Richardson , and R. M. Cowling 2000. Using a dynamic landscape model for planning the management of alien plant invasions. Ecol. Appl. 10:18331848.

K. M. Hyde , H. R. Maier , and C. B. Colby 2005. A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resource decision making. J. Environ. Manag. 77:278290.

D. Kuefler , N. M. Haddad , S. Hall , B. Hudgens , B. Bartel , and E. Hoffman 2008. Distribution, population structure and habitat use of the endangered Saint Francis satyr butterfly, Neonympha mitchellii francisci . Am. Midl. Nat. 159:298320.

X. Li , H. S. He , R. Bu , Q. Wen , Y. Chang , Y. Hu , and Y. Li 2005. The adequacy of different landscape metrics for various landscape patterns. Pattern Recognit. 38:26262638.

J. Malczewski 2000. On the use of weighted linear combination method in GIS: common and best practice approaches. Trans. GIS 4:522.

J. Malczewski 2006. GIS-based multicriteria decision analysis: a survey of the literature. Int. J. Geogr. Inf. Sci. 20:703726.

B. A. Melbourne and A. Hastings 2009. Highly variable spread rates in replicated biological invasions: fundamental limits to predictability. Science 325:15361539.

G. A. Mendoza and H. Martins 2006. Multi-criteria decision analysis in natural resource management: a critical review of methods and new modeling paradigms. For. Ecol. Manag. 230:122.

M. E. Moody and R. N. Mack 1988. Controlling the spread of plant invasions: the importance of nascent foci. J. Appl. Ecol. 25:10091021.

J. M. Noel , W. J. Platt , and E. B. Moser 1998. Structural characteristics of old- and second-growth stands of longleaf pine (Pinus palustris) in the Gulf Coastal region of the U.S.A. Conserv. Biol. 12:533548.

D. F. Panetta and O. J. Cacho 2012. Beyond fecundity control: which weeds are most containable? J. Appl. Ecol. 49:311321.

D. Pimental , R. Zuniga , and D. Morrison 2005. Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecol. Econ. 52:273288.

T. Prato 1999. Multiple attribute decision analysis for ecosystem management. Ecol. Econ. 30:207222.

H. M. Regan , F. W. Davis , S. J. Andelman , A. Widyanata , and M. Freese 2007. Comprehensive criteria for biodiversity evaluation in conservation planning. Biodivers. Conserv. 16:27152728.

N. Roura-Pascual , R. M. Krug , D. M. Richardson , and C. Hui 2010. Spatially-explicit sensitivity analysis for conservation management: exploring the influence of decisions in invasive alien plant management. Divers. Distrib. 16:426438.

N. Roura-Pascual , D. M. Richardson , R. M. Krug , A. Brown , R. A. Chapman , G. G. Forsyth , D. C. Le Maitre , M. P. Robertson , L. Stafford , B. W. Van Wilgen , A. Wannenburgh , and N. Wessels 2009. Ecology and management of alien plant invasions in South African fynbos: accommodating key complexities in objective decision making. Biol. Conserv. 142:15951604.

T. L. Saaty 1977. A scaling method for priorities in hierarchical structures. J. Math. Psychol. 15:234281.

A. A. Sharov 2004. Bioeconomics of managing the spread of exotic pest species with barrier zones. Risk Anal. 24:879892.

K. Shea , H. P. Possingham , W. W. Murdoch , and R. Roush 2002. Active adaptive management in insect pest and weed control: intervention with a plan for learning. Ecol. Appl. 12:927936.

D. Simberloff 2003. How much information on population biology is needed to manage introduced species? Conserv. Biol. 17:8392.

G. M. Skurka Darin , S. Schoenig , J. N. Barney , F. D. Panetta , and J. M. DiTomaso 2011. WHIPPET: a novel tool for prioritizing invasive plant populations for regional eradication. J. Environ. Manag. 92:131139.

B. A. Sorrie , J. B. Gray , and P. J. Crutchfield 2006. The vascular flora of the longleaf pine ecosystem of Fort Bragg and Weymouth Woods, North Carolina. Castanea 71:129161.

K. A. Theoharides and J. S. Dukes 2007. Plant invasion across space and time: factors affecting nonindigenous species success during four stages of invasion. New Phytol. 176:256273.

K. M. Trani and R. H. Giles 1999. An analysis of deforestation: metrics used to describe pattern. For. Ecol. Manag. 114:459470.

E. Triantaphyllou and A. Sánchez 1997. A sensitivity analysis approach for some deterministic multi-criteria decision-making methods. Decis. Sci. 28:151194.

M. Vilà , J. L. Espinar , M. Hejda , P. E. Hulme , J. Jarošik , J. L. Maron , J. Pergl , U. Schaffner , Y. Sun , and P. Pyšek 2011. Ecological impacts of invasive alien plants: a meta-analysis of their effects on species, communities and ecosystems. Ecol. Lett. 14:702708.

Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Invasive Plant Science and Management
  • ISSN: 1939-7291
  • EISSN: 1939-747X
  • URL: /core/journals/invasive-plant-science-and-management
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords:

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 21 *
Loading metrics...

Abstract views

Total abstract views: 90 *
Loading metrics...

* Views captured on Cambridge Core between 20th January 2017 - 22nd September 2017. This data will be updated every 24 hours.