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Control of Invasive Species: Lessons from Miconia in Hawaii Kimberly Burnett, Brooks Kaiser, Basharat A. Pitafi, James Roumasset University of Hawaii, Manoa, HI Gettysburg College, Gettysburg, PA
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Objectives Inform public policy decisions for invasive species using economic theory: Optimal control of an existing invader Case study from Hawaii…
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Our case Existing invader: Miconia calvescens
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Minimize NPV (Costs+damages) NPV of reducing population to N consists of: 1. Transition cost of reducing the population from to to 2. Cost of maintaining population at 3. Damages incurred from remaining at
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NPV of increasing population to N consists of: : 1. Transition damage associated with this time and pop ’ n level 2. Cost of maintaining population at 3. Damages incurred from remaining at Minimize NPV (Costs+damages)
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An Algorithm for Minimizing Costs + Damages
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Existing invader: methodology Choosing Min[V(n 0,N)] determines optimal steady state population level N*, corresponding to N 0. N* minimizes costs and damages over time and: may be smaller (including zero) than the existing population or larger (including carrying capacity) than the existing population Is potentially dependent on the current invasion level
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Case Study Growth function g(N) Damage function D(N) Control cost function C(N,x)
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Miconia: Growth b, intrinsic growth rate: 0.3 from analysis of the spread of the tree on Hawaii since 1960s introduction K, carrying capacity: 100,000,000 (100 trees per acre over 1 million acres above the 1800 mm/yr rainfall line)
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Miconia: Damages Endangered birds Households willing to pay $31/ bird species /year to keep a species from extinction (Loomis and White 1996) Full threat of loss in biodiversity on all islands equivalent to a loss of ½ the endangered bird species → $103-303 mill / year Watershed Groundwater recharge losses → $137 million /year (Kaiser and Roumasset 2002) Increased sedimentation → $33.9 million /year (Kaiser and Roumasset 2000) Total damages Estimated average of $377.4 million per year If any 1 tree equally responsible for its portion of damages, per-tree damage rate of $3.77
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Biodiversity
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Ecosystem services
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Miconia: Control cost “Search” component “Treatment” component 2003: total number of trees controlled on 4 islands: 72,339 Annual control expenditures $1 million 72,339 trees removed thought to be less than ¼ of existing population
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Miconia: Results (High damages) Current stock: 400,000 < Reduce stock to N* = 31,295 trees, maintain PV losses for N 0 = 400,000 0 31,295 400,000 100 m N (Stationary) D(N)=$2.74N -> 34,202 trees D(N)=$4.88N-> 28,803 trees
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If lower damages, Global min at N*=31,295, Local min at N*=100 m Illustrates need to check both above and below initial population Miconia: Results (Low Damages) PV losses for N 0 0 2.8 k 400 k 4.4 m 100 m N (stationary)
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Miconia policy: status quo vs. optimal (win-win) First period removal cost Annual removal cost PV costs Annual damages NPV damages PV (losses) Status quo $1 m $50 m$369.5 m$12.35 b-$12.4 b Opt policy $6.27 m$449,245$28.7 m$117,982$7.4 m-$36.1 m
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Summary Status quo policy welfare equivalent of doing nothing Optimal control of invasive species requires integrated assessment of bio-economic threat Growth pattern, control costs, and damages must be estimated as functions of population and removal Optimal policies dependent on initial population at time of action Eradication, internal steady state, accommodation all viable outcomes Catastrophic damages from continuation of status quo policies can be avoided at costs even lower than current spending trajectory
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Limitations and direction for further research Overall: Sophistication of growth, control cost functions Accurate anticipation of damages, particularly ecological Seed bank, spatial dimensions improved
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