Fisheries are coupled human–natural systems locally, regionally, and globally. However, human–nature interactions within and between adjacent and distant systems (metacouplings) are rarely studied in fisheries despite their prevalence and policy relevance. We filled this knowledge gap by using network models to identify how the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has rewired couplings and reshaped resilience of Fishadelphia, a community-supported fishery program (CSF) in New Jersey and Pennsylvania, USA. As abstractions illustrating interactions among supply-chain actors, networks are helpful for characterizing flows and assessing resilience to disturbances such as those induced by the SARS-CoV-2 pandemic. Since Fall 2018, 18 seafood (finfish and shellfish) species totaling 6273 lbs have flowed from harvesters (n = 4), to processors (n = 2), to a distributor, to retailers (n = 2), and finally to customers (n = 183). The pandemic reduced the number of seafood harvesters and processors (−50%), seafood flow quantity (−25%), species diversity in the marketplace (−67%), and species per supplier (−50%) before stopping flows in mid-March 2020, when Fishadelphia closed for 3 months. Models of network optimality indicated that the pandemic fragmented metacouplings that previously allowed multiple seafood suppliers to provide diverse products to customers. However, demand-side resilience increased through dispersed, socially distanced, efficient seafood delivery that expanded the customer base and generally increased customer satisfaction. This resilience dichotomy—wherein the post-closure network was less resilient than the pre-closure network in supply-side species diversity, but more resilient in demand-side social distancing, delivery efficiency, and customer satisfaction—has implications for rewiring networks to sustain CSFs and other local food systems amid ecological and social disturbances.

渔业在地方，区域和全球都是人与自然的耦合系统。然而，尽管在渔业中普遍存在且与政策相关，但在邻近和远距离系统（代谢耦合）之内和之间的人与自然的相互作用（代谢耦合）很少被研究。我们通过使用网络模型来确定严重急性呼吸系统综合症冠状病毒2（SARS-CoV-2）大流行如何重振菲沙德尔菲亚州的耦合和重塑弹性，菲沙德尔菲亚州是新泽西州和宾夕法尼亚州的一个社区支持的渔业计划（CSF），从而填补了这一知识鸿沟， 美国。作为说明供应链参与者之间相互作用的抽象，网络有助于表征流量并评估对诸如SARS-CoV-2大流行所引起的干扰的抵御能力。自2018年秋季以来，共有18种海鲜（鱼类和贝类）从捕捞者中流出，共计6273磅（n = 4），加工者（n = 2），分销商，零售商（n = 2），最后是顾客（n= 183）。大流行减少了海产品收获者和加工者的数量（−50％），海产品流通量（−25％），市场中的物种多样性（−67％）和每个供应商的种类（−50％），然后在中期停止供应-2020年3月，菲什德尔菲亚（Fistadelphia）关闭了3个月。网络优化模型表明，大流行的零散耦合反应以前使多个海鲜供应商能够为客户提供多样化的产品。但是，通过分散，与社会保持距离，高效的海鲜交付，扩大了客户群并总体上提高了客户满意度，从而提高了需求方的应变能力。这种弹性二分法-在供应方物种多样性方面，封闭后网络的弹性小于封闭前网络，但在需求侧社会距离，交付效率，