Centre for Environmental Economics and Policy, School of Agricultural and Resource Economics, University of Western Australia, 35 Stirling Highway, Crawley, Western Australia, 6009, Australia.
Conserv Biol. 2015 Feb;29(1):226-37. doi: 10.1111/cobi.12358. Epub 2014 Aug 7.
Marine fish stocks are in many cases extracted above sustainable levels, but they may be protected through restricted-use zoning systems. The effectiveness of these systems typically depends on support from coastal fishing communities. High management costs including those of enforcement may, however, deter fishers from supporting marine management. We incorporated enforcement costs into a spatial optimization model that identified how conservation targets can be met while maximizing fishers' revenue. Our model identified the optimal allocation of the study area among different zones: no-take, territorial user rights for fisheries (TURFs), or open access. The analysis demonstrated that enforcing no-take and TURF zones incurs a cost, but results in higher species abundance by preventing poaching and overfishing. We analyzed how different enforcement scenarios affected fishers' revenue. Fisher revenue was approximately 50% higher when territorial user rights were enforced than when they were not. The model preferentially allocated area to the enforced-TURF zone over other zones, demonstrating that the financial benefits of enforcement (derived from higher species abundance) exceeded the costs. These findings were robust to increases in enforcement costs but sensitive to changes in species' market price. We also found that revenue under the existing zoning regime in the study area was 13-30% lower than under an optimal solution. Our results highlight the importance of accounting for both the benefits and costs of enforcement in marine conservation, particularly when incurred by fishers.
在许多情况下,海洋鱼类资源的捕捞量超过了可持续水平,但可以通过限制使用区域系统来保护这些资源。这些系统的有效性通常取决于沿海渔业社区的支持。然而,高额的管理成本(包括执法成本)可能会阻止渔民支持海洋管理。我们将执法成本纳入空间优化模型中,该模型确定了在最大限度地提高渔民收入的同时如何实现保护目标。我们的模型确定了研究区域在不同区域(禁渔区、渔业专属区、开放捕捞区)之间的最优分配。分析表明,实施禁渔区和渔业专属区需要付出成本,但可以通过防止偷捕和过度捕捞来提高物种丰度。我们分析了不同执法情景如何影响渔民的收入。与不实施渔业专属区相比,实施渔业专属区可使渔民收入提高约 50%。该模型优先将区域分配给受执法保护的专属区,而不是其他区域,这表明执法(通过提高物种丰度带来的收益)带来的经济效益超过了成本。这些发现对执法成本的增加具有稳健性,但对物种市场价格的变化较为敏感。我们还发现,与最优解决方案相比,研究区域现有分区制度下的收入低 13-30%。我们的研究结果强调了在海洋保护中既要考虑执法的收益,也要考虑其成本,尤其是当这些成本由渔民承担时。