TY - JOUR
T1 - A practical optimal surveillance policy for invasive weeds: An application to Hawkweed in Australia
AU - Kompas, Thomas
AU - Chu, Long
AU - Nguyen, Hoa
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
U2 - 10.1016/j.ecolecon.2016.07.003
DO - 10.1016/j.ecolecon.2016.07.003
M3 - Article
SN - 0921-8009
VL - 130
SP - 156
EP - 165
JO - Ecological Economics
JF - Ecological Economics
IS - 1
ER -