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High prices for rare species can drive large populations extinct: the anthropogenic Allee effect revisited

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Consumer demand for plant and animal products threatens many populations with extinction. The anthropogenic Allee effect (AAE) proposes that such extinctions can be caused by prices for wildlife products increasing with species rarity. This price-rarity relationship creates financial incentives to extract the last remaining individuals of a population, despite higher search and harvest costs. The AAE has become a standard approach for conceptualizing the threat of economic markets on endangered species. Despite its potential importance for conservation, AAE theory is based on a simple graphical model with limited analysis of possible population trajectories. By specifying a general class of functions for price-rarity relationships, we provide the first theoretical analysis of AAE models, and show that the classic theory can understate the risk of species extinction. AAE theory proposes that only populations below a critical Allee threshold will go extinct due to increasing price-rarity relationships. Our analysis shows that this threshold can be much higher than the original theory suggests, depending on initial harvest effort. More alarmingly, even species with population sizes above this Allee threshold, for which AAE predicts persistence, can be destined to extinction. Introducing even a minimum price for harvested individuals, close to zero, can cause large populations to cross the classic anthropogenic Allee threshold on a trajectory towards extinction. These results suggest that traditional AAE theory may give a false sense of security when managing large harvested populations.
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... The AAE has gained traction in the literature since its introduction by Courchamp et al. (2006) (e.g., Almeida, Bonachela, and Lockwood 2023;Angulo and Courchamp 2009;Angulo, Deves, et al. 2009;Fraser, Roberts, and Brock 2023;Gault, Meinard, and Courchamp 2008;Hausmann, Cortés-Capano, and Di Minin 2023;Holden and McDonald-Madden 2017;R. B. Harris, Cooney, and Leader-Williams 2013), in part due to the growing global demand by wealthy international consumers for luxury wildlife products and goods through legal and illegal trade channels ('t Sas-Rolfes et al. 2019;Heinrich et al. 2016). ...
... The AAE posits that if consumers disproportionately value goods they perceive to be rare, they will be willing to pay higher prices to obtain individuals of these species even when the cost of their acquisition is exorbitant (Courchamp et al. 2006;Holden and McDonald-Madden 2017). If this rarity-based premium results in a selling price rising faster than harvest cost as the population is depleted, a tipping point exists at a population size below which harvesting to extinction will always be the most profitable strategy for harvesters, since the marginal benefit of harvest outweighs the marginal cost of harvest ( Figure 1, open circle). ...
... The AAE is fundamentally driven by how the price-abundance relationship, a depensatory price dynamic typically represented as the rate at which the per individual price rises as the overall population is depleted to zero, relates to the marginal cost of harvest (Courchamp et al. 2006;Holden and McDonald-Madden 2017). Modeling frameworks that incorporate these dynamics depict price as a nonlinear function of abundance (or market supply, e.g., Burgess et al. 2017;Hausmann, Cortés-Capano, and Di Minin 2023;Krishna et al. 2019), with parameters that designate the strength of this relationship (e.g., Almeida, Bonachela, and Lockwood 2023;Courchamp et al. 2006;Dao et al. 2023;Holden and McDonald-Madden 2017;Thurner, Converse, and Branch 2021;Verma 2016). ...
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The harvest and sale of wildlife can drive species to extinction when consumers are willing to pay high prices for the last harvested individuals of a very rare species, a phenomenon known as the anthropogenic Allee effect (AAE). Because demand for rarity is an inherent human desire, the AAE has the potential to affect a wide range of exploited species across several geographic regions. Here, we assess the current extent of empirical evidence for the AAE, how such evidence has been measured, and how this evidence interfaces with existing models of the AAE. We find substantial gaps in the empirical evidence base for the AAE and suggest that this deficit prevents assessment of the AAE in species extinctions. We provide a framework for generating empirical evidence that can identify when the AAE is likely occurring or has the potential to occur in the future, and recommend directions for both empirical and theoretical modeling research designed to strengthen our ability to forecast the ecological and market conditions that result in an AAE.
... Recent bioeconomic theory explains how each of these conditions and others can allow fishing to cause extinction by preventing profits from dissipating as a species is depleted. For example, in single-species fisheries, fishing profits can be maintained as the target species' abundance declines if prices increase faster than costs, either due to supply and demand or rarity effects (Burgess, Costello, et al., 2017;Courchamp et al., 2006;Dao et al., 2023;Holden & McDonald-Madden, 2017). ...
... Under open-access conditions, we assume that the dynamics of effort are given by Equation (2), which mirrors the Gordon-Schaefer model, with the addition of catch non-linearity ( i ) and the assumption that price can be non-constant. Specifically, we assume that there is a constant per-unit-effort fishing cost, c, and that the price of catch is a function of the stock size [p i (N i )], either directly (Courchamp et al., 2006;Holden & McDonald-Madden, 2017) or indirectly as a function of catch (Burgess, Costello, et al., 2017). ...
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There have been few documented extinctions of fished species, but many bioeconomic models predict that open‐access incentives make extinction possible. Open‐access multi‐species fisheries can cause species' extinction if other, faster‐growing species maintain profits at fatal effort levels. Even target species can be profitably harvested to extinction if their prices rise sufficiently as they are depleted. Here, we explore interactions between these potential extinction mechanisms by modelling an open‐access multi‐species fishery with one or multiple fleets exploiting two species, each with different growth rates, ex‐vessel prices, and price dynamics. Increases in the strong stock's (the stock with higher productivity relative to fishing susceptibility) price as it is depleted increase the range of conditions under which the weak stock can be driven extinct and shrinks the range of bioeconomic parameters in which both species can coexist under open‐access. Catch hyperstability – whereby species become easier to catch as they are depleted – makes the weak stock weaker as it is depleted and further narrows the scope for coexistence. Fleet diversity in targeting ability can prevent weak stock extinction, as competition or switching balances species abundances. With few documented global fished‐species extinctions, our results raise important questions, which we discuss. Is the apparent lack of extinctions largely due to management? Are more species in lightly‐managed fisheries threatened with extinction than previously acknowledged? Have more extinctions than we realize already happened in data‐ and management‐poor fisheries? Or have fishes' high fecundity and the oceans' vastness provided protection against extinction that is uncaptured by existing theoretical models?
... Understanding the value of wildlife is essential for biodiversity conservation. In conservation practice, it is important to recognize that a high price often indicates rarity and high demand, necessitating greater concern for high-priced species and individuals 12,42 . In our study, we found that C. brevimanus commands a higher price than other species and is the rarest species in the entire online land hermit crab selling database ( Fig. 2). ...
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... Our study was limited to fitting simple, stationary, one-dimensional difference equation models with only two equilibria describing a population growing towards carrying capacity in the absence of harvest. When fisheries are better described by more complicated dynamics such as, multi-species interactions , ecologically or economically induced Allee effects (Perälä et al. 2022;Holden and McDonald-Madden 2017), non-stationary parameters (e.g. due to time-dependent environmental regime shifts, Johnson et al. 2015), time delays (e.g. ...
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Density-dependent population dynamic models strongly influence many of the world's most important harvest policies. Nearly all classic models (e.g. Beverton-Holt and Ricker) recommend that managers maintain a population size of roughly 40-50 percent of carrying capacity to maximize sustainable harvest, no matter the species' population growth rate. Such insights are the foundational logic behind most sustainability targets and biomass reference points for fisheries. However, a simple, less-commonly used model, called the Hockey-Stick model, yields very different recommendations. We show that the optimal population size to maintain in this model, as a proportion of carrying capacity, is one over the population growth rate. This leads to more conservative optimal harvest policies for slow-growing species, compared to other models, if all models use the same growth rate and carrying capacity values. However , parameters typically are not fixed; they are estimated after model-fitting. If the Hockey-Stick model leads to lower estimates of carrying capacity than other models, then the Hockey-Stick policy could yield lower absolute population size targets in practice. Therefore, to better understand the population size targets that may be recommended across real fisheries, we fit the Hockey-Stick, Ricker and Beverton-Holt models to population time series data across 284 fished species from the RAM Stock Assessment database. We found that the Hockey-Stick model usually recommended fisheries maintain population sizes higher than all other models (in 69-81% of the data sets). Furthermore, in 77% of the datasets, the Hockey-Stick model recommended an optimal population target even higher than 60% of carrying capacity (a widely used 0123456789().: V,-vol 123 127 Page 2 of 19 V. Cattoni et al. target, thought to be conservative). However, there was considerable uncertainty in the model fitting. While Beverton-Holt fit several of the data sets best, Hockey-Stick also frequently fit similarly well. In general, the best-fitting model rarely had overwhelming support (a model probability of greater than 95% was achieved in less than five percent of the datasets). A computational experiment, where time series data were simulated from all three models, revealed that Beverton-Holt often fit best even when it was not the true model, suggesting that fisheries data are likely too small and too noisy to resolve uncertainties in the functional forms of density-dependent growth. Therefore, sustainability targets may warrant revisiting, especially for slow-growing species.
... If the anti-poaching efforts would have been effective in reducing the number of rhino poaching incidents, then it should have caused an additive decline in the number of rhino poaching incidents on top of the effect caused by the dwindling rhino density, which it did not (Fig. 2B). Moreover, this poaching pressure is not likely to decrease in the near future, because of the high price that consumers are willing to pay for rare animal products, which can drive the species to global extinction (12). The recent changes in South Africa's anti-poaching strategy to prioritize situational awareness, access control, and dehorning of all rhinos in Kruger NP (11) may very well lower the poaching pressure to some extent (13). ...
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The decrease in African rhino poaching incidents since 2015 has prompted many to praise the effectiveness of anti-poaching efforts. To test the validity of this statement, we calculated how far poachers moved on average from 2007 to 2022 to find a rhino in the context of the dwindling rhino densities. These calculations demonstrate that the total poaching pressure has remained persistently high since 2013. Given the concurrently declining arrest rates, our results show that the rhino protection practices of the past decade have been insufficient. Instead, we propose that rhinos can best be protected in small and well-monitored “safe havens” while focusing on long-term rhino horn demand reduction.
... In addition, we know that the quantity of products greatly affects the price of products. Holden and McDonald-Madden [2017] considered the relationship between the price of products and its rarity as follows: ...
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... We found some support for the notion that in Indonesia, at a city level, rarity led to higher asking prices as where more Prevost's squirrels were offered for sale the mean price was lower. This would suggest that rarity, as expressed by the number of individuals that are offered for sale in a particular location, does reflect itself in asking prices (Courchamp et al. 2006;Holden and McDonald-Madden 2017) and may suggest an increase in desirability of customers to purchase these squirrels. Contrary to our expectation, we did not find more individuals offered for sale within the species' range (e.g. ...
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The overexploitation of wildlife species is a serious problem in the field of biodiversity conservation. The species subjected to natural Allee effects are even more threatened by exploitation. Moreover, for many wildlife species, their rarity can fuel their exploitation by making them disproportionately desirable and consequently increasing their market price. In this paper, a mathematical model is proposed and analyzed to study how the value that consumers place on rarity can threaten the survival of a species subjected to natural Allee effects. It is assumed that the value of a species increases as its density declines. The analysis of model shows that the increase in the consumers' response to rarity can drive the system to admit Hopf-bifurcation and heteroclinic bifurcation. The occurrence of the heteroclinic cycle indicates that the increase in consumers' response to rarity can cause the extinction of the species. It is found that an increase in the Allee threshold causes a decrease in the threshold value of consumers' response below which extinction is inevitable.
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