Frontiers in modelling social–ecological dynamics of recreational fisheries: A review and synthesis
Frontiers in modelling social–ecological dynamics of recreational fisheries: A review and synthesis
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休闲渔业社会生态动态建模的前沿：回顾与综合
DOI：
10.1111/faf.12482
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发表时间：
2020
影响因子：
6.7
通讯作者：
Whittaker, Dane
中科院分区：
文献类型：
--
作者：
Solomon, Christopher T.;Dassow, Colin J.;Iwicki, Carolyn M.;Jensen, Olaf P.;Jones, Stuart E.;Sass, Greg G.;Trudeau, Ashley;van Poorten, Brett T.;Whittaker, Dane
休养生息渔业在世界各地具有重要的文化和经济意义。最近的研究强调，理解和管理这些系统需要一个社会生态的角度来看。我们系统地回顾了海洋和淡水休闲渔业的定量社会生态模型，总结其社会，生态和社会生态动态的概念化，并确定研究前沿。在1975年至2018年期间发表的626项候选研究中，有49项符合纳入我们综述的标准。这些研究虽然在所考虑的重点鱼种和过程方面各不相同，但在地理上限于少数几个地点，忽视了地球仪上休闲捕鱼很重要的大片区域。在已公布的模型中，社会和生态进程也存在重大差距。在以前的概念框架的背景下反思这些模式，我们为未来的工作定义了五个关键领域：1）探索社会和行为过程的影响，如捕鱼，社会规范，信息共享垂钓者的决策和渔业动态; 2）建模治理更现实的复杂性; 3）结合弹性思维和复杂适应系统的思想，包括慢变量，不稳定反馈，惊喜和多样性; 4）考虑渔业系统的关键思想，包括空间和时间的努力动态，捕获超稳定性和放养;综合考虑我们用来描述休闲渔业社会生态动态的模型，通过明确的比较和与数据的正式整合。探索这些前沿，同时记住模型的复杂性和模型的有用性之间的区别，将提高我们的能力，理解和维持休闲渔业。
Recreational fisheries are culturally and economically important around the world. Recent research emphasizes that understanding and managing these systems requires a social–ecological perspective. We systematically reviewed quantitative social–ecological models of marine and freshwater recreational fisheries to summarize their conceptualization of social, ecological, and social–ecological dynamics and identify research frontiers. From a candidate set of 626 studies published between 1975 and 2018, 49 met criteria for inclusion in our review. These studies, though diverse in terms of focal species and processes considered, were geographically limited to a few locations and ignored large regions of the globe where recreational fishing is important. There were also important gaps in the social and ecological processes that were included in published models. Reflecting on these patterns in the context of previous conceptual frameworks, we define five key frontiers for future work: 1) exploring the implications of social and behavioural processes like heuristics, social norms, and information sharing for angler decisions and fishery dynamics; 2) modelling governance with more realistic complexity; 3) incorporating ideas from resilience thinking and complex adaptive systems, including slow variables, destabilizing feedbacks, surprises and diversity; 4) considering key ideas in fisheries systems, including spatial and temporal effort dynamics, catch hyperstability, and stocking; and 5) thinking synthetically about the models that we use to describe social–ecological dynamics in recreational fisheries, via explicit comparisons and formal integration with data. Exploration of these frontiers, while remembering the distinction between model complexity and model usefulness, will improve our ability to understand and sustain recreational fisheries.
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DOI：
10.1073/pnas.1414640112
发表时间：
2015-05-12
影响因子：
11.1
作者：
Leslie HM;Basurto X;Nenadovic M;Sievanen L;Cavanaugh KC;Cota-Nieto JJ;Erisman BE;Finkbeiner E;Hinojosa-Arango G;Moreno-Báez M;Nagavarapu S;Reddy SM;Sánchez-Rodríguez A;Siegel K;Ulibarria-Valenzuela JJ;Weaver AH;Aburto-Oropeza O
通讯作者：
Aburto-Oropeza O
影响因子：
11.5
作者：
Sass, Greg G.;Shaw, Stephanie L.
通讯作者：
Shaw, Stephanie L.
影响因子：
3.7
作者：
Alós J;Palmer M;Arlinghaus R
通讯作者：
Arlinghaus R
存在钩杀死亡率和违规行为的休闲渔业的优化管理——结合钓鱼者行为机械模型的生物经济模型的预测
影响因子：
2.4
作者：
D. JohnstonFiona;BeardmoreBen;ArlinghausRobert
通讯作者：
ArlinghausRobert
耕种/放养对幼鱼生存和补充的影响：对捕捞理论的影响
影响因子：
2.4
作者：
C. Walters;J. Kitchell
通讯作者：
J. Kitchell