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Integrating Prevention and Control of Invasive Species: Lessons from Hawaii

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Title: Integrating Prevention and Control of Invasive Species: Lessons from Hawaii


1
Integrating Prevention and Control of Invasive
Species Lessons from Hawaii
  • Basharat A. Pitafi
  • (University of Hawaii)
  • Brooks Kaiser
  • (Gettysburg College)
  • James Roumasset
  • (University of Hawaii)

2
Overview
  • Prevention and control as integrated effort
  • Problem characterization
  • Analysis
  • Algorithm
  • Optimal policy minimizes expected damages and
    costs of control or eradication
  • Two cases Miconia calvescens and Boiga
    irregularis (Brown tree snake)

3
Roles of Policy
  • Prevention
  • Reduce entrance vectors
  • Interdiction at source
  • Interdiction at destination
  • Control
  • Eradication
  • Control (including pulsed control)
  • Spatial Containment
  • Adaptation

4
Strategies
  • Control Only (species already established, e.g.,
    Miconia calvescens)
  • Prevent and Control (new species, e.g., Boiga
    irregularis)
  • Prevent and Eradicate (new species)

5
Control
  • Minimize damage (D) and control cost (c) by
    removal (x) of the species

Green Golden-Rule
High D, low c, low c gt low N Denote the
minimized value of V by V
______________________________ Special case of
Heal (1998, p. 48, eq. 4.4)
6
Prevention and Control
Probability of introduction (p) is a function of
prevention (y). If introduced, optimal control
costs V.
7
Prevention and Control
Choose y (prevention) to minimize the present
value of the total expected costs (including
control). The required optimizing condition is
Thus, high V, high p, low r gt high prevention
(y) Denote the minimized value of the total
expected costs (including control) by W
8
Prevention and Eradication
Probability of introduction (p) is a function of
prevention (y). If introduced, eradication
costs E.
9
Prevention and Eradication
  • Choose y (prevention) to minimize the present
    value of the total expected cost (including
    eradication). The required optimizing condition
    is

Thus, high E, high p, and/or low r gt high
prevention (y) Denote the minimized value of
the total expected cost (including eradication)
by Z
10
Control or Eradicate?
  • Choose lower of W and Z
  • Low E, high c, high D, and/or low r
  • gteradicate

11
Lessons from theory
  • prevention vs. control
  • eradication vs. prevention

12
Miconia calvescens
  • Existing invader
  • Aggressive and quick shading canopy
  • Shallow roots
  • Rapid spread
  • Monotypic stands cover approximately 70 of Tahiti

13
Miconia costs net damages
  • Costs
  • Costs of removing Miconia (manual uprooting,
    spraying, helicopters)
  • Decreasing in population n
  • Non-decreasing in removals x
  • Benefits
  • Estimated from cost of trees and visitor payments
    to botanical gardens
  • Value as ornamental 0.0075n1/2
  • Damages
  • Destruction of endangered species habitat
  • Change in the water balance (increased runoff,
    decreased groundwater recharge)
  • Per unit damages 3.77n
  • n number of trees

14
Est. Total Cost by Pest Popn and Removal Policy
15
Lessons from Miconia
  • Stabilizing pest population at high level may be
    inferior to no control
  • Optimal policy (control, eradicate or
    accommodate) dependent on initial population, as
    well as biological growth rates, habitat, and
    expected economic and ecological damages
  • Pulsed-harvest steady state may be cost effective
    if economies of scale in harvesting

16
Boiga irregularis
  • Eradicable/ controllable potential invader
  • Several specimens have arrived alive in HI
  • Arrived in Guam in the 1950s
  • 50 snake/hectare densities
  • 1 hour long power outages every 4 days
  • Poisonous bites treated in hospitals
  • Loss of 9 native bird species

17
BTS costs damages
  • Unit Costs
  • Costs of catching snakes
  • Decreasing in n, linear in x
  • Based on trap efficacy in Guam
  • Damages
  • Extrapolated from Guam experience, based on power
    outages, snakebites, and loss of biodiversity

18
BTS Results
Estimated minimum losses for one eradication
Estimated minimum losses for optimal control
19
A comparison
Sample comparison of eradication investment vs.
controlled population, C(n) 7,360/ n 0.73
20
Lessons from BTS
  • Comparing eradication vs. annual control for a
    population close to 300 snakes, the pulsed
    eradication option frees up over 3 million
    dollars for prevention activities.
  • While today's expenditures for control may be low
    compared to pulsed eradication, potential long
    term benefits of eradication are great.
  • The long term benefits of eradication depend on
    the efficacy of prevention
  • Adding prevention decision to optimal control
    problem does not destabilize control decision
    results

21
To do
  • Solve iterated eradication-prevention problem
  • Analytics for model
  • Analytical results (steady state on parameters)
  • Role of functional forms for costs, damages etc.
  • Parameterization,role of biology etc.
  • Local/Global Optima
  • Econ of scale in harvesting
  • Interspecies comparisons
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