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A practical optimal surveillance policy for invasive weeds: An application to Hawkweed in Australia

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  • Kompas, Tom
  • Chu, Long
  • Nguyen, Hoa Thi Minh

Abstract

We propose a practical analytical framework which can help government agencies determine an optimal surveillance strategy for invasive weeds, including cases of slow-growing or ‘sleeper weeds', and for all weeds at early stages of invasion where quantitative information is scant or rough. The framework consists of three key components: (a) a simple rule that can determine weed surveillance zones or where early detection is desirable, (b) a function that maps surveillance effort to early detection probability, and (c) a schedule to determine an optimal surveillance budget. A calibration to Hawkweed in Australia provides an example of the framework and shows that the optimal annual surveillance budget for this sleeper weed is substantial.

Suggested Citation

  • Kompas, Tom & Chu, Long & Nguyen, Hoa Thi Minh, 2016. "A practical optimal surveillance policy for invasive weeds: An application to Hawkweed in Australia," Ecological Economics, Elsevier, vol. 130(C), pages 156-165.
    • Handle: RePEc:eee:ecolec:v:130:y:2016:i:c:p:156-165
    DOI: 10.1016/j.ecolecon.2016.07.003
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    Cited by:

    1. Kompas, Tom & Chu, Long & Ha, Pham Van & Spring, Daniel, 2019. "Budgeting and portfolio allocation for biosecurity measures," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(3), July.
    2. Stoeckl, Natalie & Dodd, Aaron & Kompas, Tom, 2023. "The monetary value of 16 services protected by the Australian National Biosecurity System: Spatially explicit estimates and vulnerability to incursions," Ecosystem Services, Elsevier, vol. 60(C).
    3. Kompas, Tom & Chu, Long & McKirdy, Simon & Thomas, Melissa & Van Der Merwe, Johann, 2023. "Optimal post-border surveillance against invasive pests to protect a valuable nature reserve and island asset," Ecological Economics, Elsevier, vol. 208(C).

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