Invasive species control optimization as a dynamic spatial process: An application to buffelgrass (pennisetum ciliare) in Arizona

I. Esra Büyüktahtakin, Zhuo Feng, Aaryn D. Olsson, George Frisvold, Ferenc Szidarovszky

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Buffelgrass (Pennisetum ciliare) is a fire-prone, African bunchgrass spreading rapidly across the southern Arizona desert. This article introduces a model that simulates buffelgrass spread over a gridded landscape over time to evaluate strategies to control this invasive species. Weed-carrying capacity, treatment costs, and damages vary across grid cells. Damage from buffelgrass depends on its density and proximity to valued resources. Damages include negative effects on native species (through spatial competition) and increased fire risk to land and buildings. We evaluate recommended "rule of thumb" control strategies in terms of their ability to prevent weed establishment in newly infested areas and to reduce damage indices over time. Two such strategies-potential damage weighting and consecutive year treatment-used in combination, provided significant improvements in long-term control over no control and over a strategy of minimizing current damages in each year. Results suggest specific recommendations for deploying rapid-response teams to prevent establishment in new areas. The long-run population size and spatial distribution of buffelgrass is sensitive to the priority given to protecting different resources. Land managers with different priorities may pursue quite different control strategies, posing a challenge for coordinating control across jurisdictions.

Original languageEnglish (US)
Pages (from-to)132-146
Number of pages15
JournalInvasive Plant Science and Management
Volume7
Issue number1
DOIs
StatePublished - 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Plant Science

Keywords

  • Biological invasion
  • Buffelgrass
  • Dynamic spatial processes
  • Environmental studies
  • Integer programming
  • Invasive species
  • Land management
  • Optimal control

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