Abstract

Poaching is a widespread and well-appreciated problem for the conservation of many threatened species. Because poaching is illegal, there is strong incentive for poachers to conceal their activities, and consequently, little data on the effects of poaching on population dynamics are available. Quantifying poaching mortality should be a required knowledge when developing conservation plans for endangered species but is hampered by methodological challenges. We show that rigorous estimates of the effects of poaching relative to other sources of mortality can be obtained with a hierarchical state–space model combined with multiple sources of data. Using the Scandinavian wolf (Canis lupus) population as an illustrative example, we show that poaching accounted for approximately half of total mortality and more than two-thirds of total poaching remained undetected by conventional methods, a source of mortality we term as ‘cryptic poaching’. Our simulations suggest that without poaching during the past decade, the population would have been almost four times as large in 2009. Such a severe impact of poaching on population recovery may be widespread among large carnivores. We believe that conservation strategies for large carnivores considering only observed data may not be adequate and should be revised by including and quantifying cryptic poaching.

Highlights

  • The illegal killing of animals, hereafter poaching, threatens the viability of many species worldwide [1 –5]

  • The median estimate of the posterior cryptic poaching rate from the model (0.103 + 0.106) was remarkably close to the independent estimate based on radio-tracking data (0.085 + 0.023) but was accompanied by higher variance

  • Here we have demonstrated a high incidence of poaching in a threatened wolf population, but because a major part of this poaching was unobserved and inferred from indirect data, its estimate is open to criticism

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Summary

Introduction

The illegal killing of animals, hereafter poaching, threatens the viability of many species worldwide [1 –5]. (d) Data and model priors Estimates of total population size (Nobs) and number of reproductions (R) were obtained annually from 1999 to 2009, using a combination of snow-tracking, radio-tracking and DNA analysis of scats (see electronic supplementary material, time-series data).

Results
Conclusion

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