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Incentivizing monitoring and compliance in trophy hunting.

Bunnefeld N, Edwards CT, Atickem A, Hailu F, Milner-Gulland EJ - Conserv. Biol. (2013)

Bottom Line: Harvest strategy was robust to the uncertainty in the population estimates obtained from monitoring, but poaching had a much stronger effect on quota and sustainability.Hence, reducing poaching is in the interests of companies wishing to increase the profitability of their enterprises, for example by engaging community members as game scouts.Our results illustrate the importance of considering the incentives of multiple stakeholders when designing frameworks for resource use and when designing management frameworks to address the particular sources of uncertainty that affect system sustainability most heavily.

View Article: PubMed Central - PubMed

Affiliation: Department of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY, United Kingdom; School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, United Kingdom. nils.bunnefeld@stir.ac.uk.

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Effect of changing the coefficient of variation of monitoring from 0 to 0.2 on (a) average annual variation in quota, (b) quota size (number of nyala lost as a result of poaching included), (c) population size, and (d) coefficient of variation of population size. Results from scenarios of adaptive, proportional, and constant harvesting are shown.
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fig04: Effect of changing the coefficient of variation of monitoring from 0 to 0.2 on (a) average annual variation in quota, (b) quota size (number of nyala lost as a result of poaching included), (c) population size, and (d) coefficient of variation of population size. Results from scenarios of adaptive, proportional, and constant harvesting are shown.

Mentions: An increase in the CV of monitoring led to an increase in AAV in the quota for both harvesting approaches, but at high levels (CV = 20%) of monitoring uncertainty the AAV was only 1 nyala/year for adaptive hunting compared with a variation of more than 5 in the nyala quota for proportional hunting (Fig.4a). At these high levels of uncertainty, the mean quota size was similar for both strategies (Fig.4b). However, the population was about 16% higher for the adaptive approach than for proportional harvesting (Fig.4c), and the CV of the population size was slightly lower (Fig.4d). Hence, under high monitoring uncertainty the adaptive strategy minimized annual variations in the quota while maintaining a higher population size, when compared with a more standard approach.


Incentivizing monitoring and compliance in trophy hunting.

Bunnefeld N, Edwards CT, Atickem A, Hailu F, Milner-Gulland EJ - Conserv. Biol. (2013)

Effect of changing the coefficient of variation of monitoring from 0 to 0.2 on (a) average annual variation in quota, (b) quota size (number of nyala lost as a result of poaching included), (c) population size, and (d) coefficient of variation of population size. Results from scenarios of adaptive, proportional, and constant harvesting are shown.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4265855&req=5

fig04: Effect of changing the coefficient of variation of monitoring from 0 to 0.2 on (a) average annual variation in quota, (b) quota size (number of nyala lost as a result of poaching included), (c) population size, and (d) coefficient of variation of population size. Results from scenarios of adaptive, proportional, and constant harvesting are shown.
Mentions: An increase in the CV of monitoring led to an increase in AAV in the quota for both harvesting approaches, but at high levels (CV = 20%) of monitoring uncertainty the AAV was only 1 nyala/year for adaptive hunting compared with a variation of more than 5 in the nyala quota for proportional hunting (Fig.4a). At these high levels of uncertainty, the mean quota size was similar for both strategies (Fig.4b). However, the population was about 16% higher for the adaptive approach than for proportional harvesting (Fig.4c), and the CV of the population size was slightly lower (Fig.4d). Hence, under high monitoring uncertainty the adaptive strategy minimized annual variations in the quota while maintaining a higher population size, when compared with a more standard approach.

Bottom Line: Harvest strategy was robust to the uncertainty in the population estimates obtained from monitoring, but poaching had a much stronger effect on quota and sustainability.Hence, reducing poaching is in the interests of companies wishing to increase the profitability of their enterprises, for example by engaging community members as game scouts.Our results illustrate the importance of considering the incentives of multiple stakeholders when designing frameworks for resource use and when designing management frameworks to address the particular sources of uncertainty that affect system sustainability most heavily.

View Article: PubMed Central - PubMed

Affiliation: Department of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY, United Kingdom; School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, United Kingdom. nils.bunnefeld@stir.ac.uk.

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