引发悲剧:替代性渔业目标对海洋渔业和渔业政策的模拟影响

IF 3.1 3区 环境科学与生态学 Q2 ECOLOGY Ecological Complexity Pub Date : 2024-01-01 DOI:10.1016/j.ecocom.2023.101070
Ashleigh Arton , Ernesto Carrella , Jens Koed Madsen , Richard M. Bailey
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引用次数: 0

摘要

在许多自然资源系统中,避免 "公地悲剧 "仍是一项挑战,而开放式渔业在这方面得到了深入研究。在此,我们使用一个基于代理的模型来研究渔民目标的变化如何改变最能解决 "公地悲剧 "的政策。当渔民的目标容易满足时,无需管理干预就能避免公域问题,但实施配额限制则会引发悲剧。因此,公域问题并不一定不可避免,也并不一定需要复杂的治理机构或法规来管理;同样的政策可能防止悲剧发生,也可能引发悲剧,这取决于渔民的目标。鉴于很难确定这些目标,通过使用模拟模型,我们可以发现一些规律,帮助我们确定渔民的目标,并将这些规律纳入我们的管理程序中。这有助于适应性管理,更好地将行为纳入政策评估。
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Triggering the tragedy: The simulated effects of alternative fisher goals on marine fisheries and fisheries policy

Avoiding the ‘tragedy of the commons’ remains a challenge in many natural resource systems, and open-access fisheries are well-studied in this context. Here, an agent-based model is used to investigate how variation in fisher goals change what policies best solve the tragedy. When fishers’ goals are easily satisfied, commons problems are avoided without management interventions, but the imposition of quota limits triggers the tragedy. Thus, commons problems are not necessarily inevitable and sophisticated governance institutions or regulations are not always required to manage them; the same policy may prevent the tragedy or trigger it, depending on the fisher's goals. Given that it is difficult to ascertain them, by using a simulation model we can find patterns that help us identify fishers' goals and incorporate these patterns within our management procedure. This can assist adaptive management to better incorporate behaviour into policy evaluation.

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来源期刊
Ecological Complexity
Ecological Complexity 环境科学-生态学
CiteScore
7.10
自引率
0.00%
发文量
24
审稿时长
3 months
期刊介绍: Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales. Ecological Complexity will publish research into the following areas: • All aspects of biocomplexity in the environment and theoretical ecology • Ecosystems and biospheres as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Complex systems approaches for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexity
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