Predicting hunting behavior among
indigenous communities in Ecuador:
insights from a bioeconomic model
Enrique de la Monta...
0
50
100
150
200
250
0 200 400 600 800 1000
Bushmeat hunting in Ecuador
Sources: de la Montaña 2013; Fa and Peres 2001
Num...
TRADICIONALLY EMPIRICAL
Economic approaches in the region
OUR AIM
To develop a bioeconomic model of hunter’s
behavior to a...
COLOMBIA
PERÚ
CUYABENO
RESERVE
Study area
WAJOSARA
DURENO
CUYABENO
ECUADOR
6 months of surveys
Indigenous field assistant
II. Socioeconomic weekly survey
III. Hunter’s survey
I. Hunting and fishing...
Hunted individuals 837
Hunted biomass (pounds) 12382
Fished biomass (pounds) 3749
- Biomass harvest per week/household
Sur...
Survey Results: Income received
38,780,290,5
OUTSIDE INSIDEBORDER
Total income per week/household (US$)
Distribution of in...
Survey Results: Expenditure
0
1
2
3
4
5
US$/week BUSHMEAT
BEEF
PIG
FISH
TUNA
EGG
CHICKEN
Household expenditure in protein ...
Dynamic model of hunter’s behaviour (see Damania et al. 2005)
Household utility is represented by a Cobb-Douglas function:...
w = wage
Loff = labor time dedicated to off-farm work
Pr = price of good
Ch and Cy = unit cost of hunting and fishing inpu...
IV. Labor constraint:
III. Fishing production function:
 = effect of fish stock on capture
Ly = labor time dedicated to f...
Simulation results: Bushmeat prices
0
5
10
15
20
25
30
OUTSIDE BORDER INSIDE
Benchmark Price variation
0
5
10
15
20
25
30
...
Simulation results: Bushmeat prices
0
5
10
15
20
25
30
OUTSIDE BORDER INSIDE
Benchmark Price variation
0
5
10
15
20
25
30
...
Simulation results: Hunting costs
+50% INCREASE costs
0
5
10
15
20
OUTSIDE BORDER INSIDE
Before After
-8%-19%
-5%
Huntingt...
Simulation results: Wages off-farm
0
5
10
15
20
OUTSIDE BORDER INSIDE
Before After
+25% INCREASE wages +50% INCREASE wages...
Simulation results: Penalty
0
5
10
15
20
OUTSIDE BORDER INSIDE
Before After
0
5
10
15
20
OUTSIDE BORDER INSIDE
Before Afte...
Conclusions
Rising bushmeat prices increase time dedicated to hunting,
which will likely lead to declines in game and ther...
THANKS
enriquedelamontana@gmail.com
We are very grateful to indigenous people of Dureno, Wajosara and Cuyabeno, and
the ne...
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Predicting hunting behavior among indigenous communities in Ecuador: insights from a bioeconomic model

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Presentation by Enrique de la Montaña at the symposium, "Innovative ways for conserving the ecosystem services provided by bushmeat" in the 51th Annual Meeting ATBC 2014 in Cairns, Australia.

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Predicting hunting behavior among indigenous communities in Ecuador: insights from a bioeconomic model

  1. 1. Predicting hunting behavior among indigenous communities in Ecuador: insights from a bioeconomic model Enrique de la Montaña Eloy Alfaro University (Manta, Ecuador)
  2. 2. 0 50 100 150 200 250 0 200 400 600 800 1000 Bushmeat hunting in Ecuador Sources: de la Montaña 2013; Fa and Peres 2001 Number of consumers Percapitamammalsbiomasssharvest kg/person/year
  3. 3. TRADICIONALLY EMPIRICAL Economic approaches in the region OUR AIM To develop a bioeconomic model of hunter’s behavior to analyze the impact of key economic parameters on bushmeat hunting - Wildlife consumption - Hunting - Game abundance - Bushmeat demand - Income - Price - Wealth
  4. 4. COLOMBIA PERÚ CUYABENO RESERVE Study area WAJOSARA DURENO CUYABENO ECUADOR
  5. 5. 6 months of surveys Indigenous field assistant II. Socioeconomic weekly survey III. Hunter’s survey I. Hunting and fishing daily survey Methodology: three structured surveys Household sample 55 out of 75: OUTSIDE RESERVE RESERVE BORDER INSIDE RESERVE 29/42 10/11 16/22
  6. 6. Hunted individuals 837 Hunted biomass (pounds) 12382 Fished biomass (pounds) 3749 - Biomass harvest per week/household Survey Results: Wildlife harvest - Total harvest in 6 months Pounds 0 2 4 6 8 10 12 14 16 OUTSIDE BORDER INSIDE BUSHMEAT FISH
  7. 7. Survey Results: Income received 38,780,290,5 OUTSIDE INSIDEBORDER Total income per week/household (US$) Distribution of income per household SOURCES LABOURER AGRICULTURAL FORESTRY HUNTING FISHING ARTISTRY OUTSIDE INSIDEBORDER
  8. 8. Survey Results: Expenditure 0 1 2 3 4 5 US$/week BUSHMEAT BEEF PIG FISH TUNA EGG CHICKEN Household expenditure in protein per week
  9. 9. Dynamic model of hunter’s behaviour (see Damania et al. 2005) Household utility is represented by a Cobb-Douglas function: -Three productive activities: Bushmeat hunting Fishing Off-farm activities -All species are considered together like only one species = household consumption of goods γ= proportion of bushmeat consumed = biomass of the animals hunted  = proportion of fish consumed = biomass of the fish caught The Model α α γ α 
  10. 10. w = wage Loff = labor time dedicated to off-farm work Pr = price of good Ch and Cy = unit cost of hunting and fishing inputs θ = probability that the hunter will be caught selling bushmeat K = fine I. Budgetary constraint: Lh = labor time dedicated to hunting N = biomass of the game species (stock) A = hunting area g = group size of the species  and  = technical parameter The Model: Constraints II. Hunting production function:
  11. 11. IV. Labor constraint: III. Fishing production function:  = effect of fish stock on capture Ly = labor time dedicated to fishing δ = productivity of the labor force dedicated to fishing Loff = labor dedicated to off-farm work Lh = labor dedicated to hunting Ly = labor dedicated to fishing The Model: Constraints
  12. 12. Simulation results: Bushmeat prices 0 5 10 15 20 25 30 OUTSIDE BORDER INSIDE Benchmark Price variation 0 5 10 15 20 25 30 OUTSIDE BORDER INSIDE Benchmark Price variation +25% INCREASE prices +50% INCREASE prices Huntingtime(hour/week/household) OVERHUNTING AND DECREASE IN WELL-BEING +52% +110% +131% +115% +50% +60%
  13. 13. Simulation results: Bushmeat prices 0 5 10 15 20 25 30 OUTSIDE BORDER INSIDE Benchmark Price variation 0 5 10 15 20 25 30 OUTSIDE BORDER INSIDE Benchmark Price variation -42%-47% -73% -74%-80% -41% -25% DECREASE prices -50% DECREASE prices Huntingtime(hour/week/household)
  14. 14. Simulation results: Hunting costs +50% INCREASE costs 0 5 10 15 20 OUTSIDE BORDER INSIDE Before After -8%-19% -5% Huntingtime(hour/week/household)
  15. 15. Simulation results: Wages off-farm 0 5 10 15 20 OUTSIDE BORDER INSIDE Before After +25% INCREASE wages +50% INCREASE wages -32%-32% 0 5 10 15 20 OUTSIDE BORDER INSIDE Before After -51% -51%-51% -33% Huntingtime(hour/week/household)
  16. 16. Simulation results: Penalty 0 5 10 15 20 OUTSIDE BORDER INSIDE Before After 0 5 10 15 20 OUTSIDE BORDER INSIDE Before After FINE= US$11,4 Confiscation = US$4 Probability of detection = 20% -100%-99,8% -50% -59%-52% -99,1% Huntingtime(hour/week/household) NO FINE Confiscation = US$4 Probability of detection = 20%
  17. 17. Conclusions Rising bushmeat prices increase time dedicated to hunting, which will likely lead to declines in game and thereby threaten the well-being of the indigenous population. Conversely, declining bushmeat prices improve wildlife conservation and cultural survival. Hunting costs is the parameter with the least impact in time dedicated to hunting. Increased wages lead to a proportional reduction in time dedicated to hunting. A robust system of rules and enforcement represents the best strategy for regulating hunting activity and controlling illegal trade in bushmeat.
  18. 18. THANKS enriquedelamontana@gmail.com We are very grateful to indigenous people of Dureno, Wajosara and Cuyabeno, and the next institutions:

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