Instituto Mediterráneo de Estudios Avanzados (CSIC-UiB), Departamento de Ecología y Recursos Marinos, C/Miquel Marqués 21, 07190, Esporles, Islas Baleares, Spain.
Instituto de Investigaciones Marinas (CSIC), Departamento de Ecología y Recursos Marinos, Eduardo Cabello 6, 36208, Vigo, Pontevedra, Spain.
Commun Biol. 2022 Feb 28;5(1):178. doi: 10.1038/s42003-022-03138-w.
Despite our critical dependence on aquatic wildlife, we lack a complete understanding of the drivers of population stability and structure for most fish species. Social network analysis has been increasingly used to investigate animal societies as it explicitly links individual decision-making to population-level processes and demography. While the study of social structure is of great ecological interest, it is also potentially important for species of economic value or of conservation concern. To date however, there has been little focus on how social processes are likely to influence the conservation of fish populations. Here we identify applications for how a social network approach can help address broad fish conservation themes such as population structure, biological invasions or fisheries management. We discuss the burgeoning opportunities offered and challenges still faced by current technologies to integrate social network approaches within fish conservation.
尽管我们对水生野生动物有着至关重要的依赖，但我们仍未完全了解大多数鱼类种群稳定和结构的驱动因素。社会网络分析已越来越多地用于研究动物社会，因为它明确地将个体决策与种群水平的过程和人口统计学联系起来。虽然社会结构的研究具有重要的生态意义，但对于具有经济价值或受到保护关注的物种来说，它也可能具有重要意义。然而，迄今为止，人们很少关注社会过程如何影响鱼类种群的保护。在这里，我们确定了社会网络方法如何有助于解决广泛的鱼类保护主题，例如种群结构、生物入侵或渔业管理。我们讨论了当前技术在将社会网络方法整合到鱼类保护中所面临的新兴机遇和挑战。
