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

• Autores: Tom Kompas, Long Chu, Hoa Thi Minh Nguyen
• Localización: Ecological Economics, ISSN-e 1873-6106, Nº. 130, 2016, págs. 156-165
• Idioma: inglés
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• Resumen

  • 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.