de Juan Silvia, Bremner Julie, Hewitt Judi, Törnroos Anna, Mangano Maria Cristina, Thrush Simon, Hinz Hilmar
Instituto Mediterraneo de Estudios Avanzados IMEDEA (CSIC-UIB) Esporles Islas Baleares Spain.
Centre for Environment Fisheries and Aquaculture Science Lowestoft England.
Ecol Evol. 2022 Jun 3;12(6):e9001. doi: 10.1002/ece3.9001. eCollection 2022 Jul.
Biological traits analysis (BTA) links community structure to both ecological functions and response to environmental drivers through species' attributes. In consequence, it has become a popular approach in marine benthic studies. However, BTA will reach a dead end if the scientific community does not acknowledge its current shortcomings and limitations: (a) uncertainties related to data origins and a lack of standardized reporting of trait information; (b) knowledge gaps on the role of multiple interacting traits on driving the organisms' responses to environmental variability; (c) knowledge gaps regarding the mechanistic links between traits and functions; (d) a weak focus on the spatial and temporal variability that is inherent to the trait expression of species; and, last but not least, (e) the large reliance on expert knowledge due to an enormous knowledge gap on the basic ecology of many benthic species. BTA will only reach its full potential if the scientific community is able to standardize and unify the reporting and storage of traits data and reconsider the importance of baseline observational and experimental studies to fill knowledge gaps on the mechanistic links between biological traits, functions, and environmental variability. This challenge could be assisted by embracing new technological advances in marine monitoring, such as underwater camera technology and artificial intelligence, and making use of advanced statistical approaches that consider the interactive nature and spatio-temporal variability of biological systems. The scientific community has to abandon some dead ends and explore new paths that will improve our understanding of individual species, traits, and the functioning of benthic ecosystems.
生物特征分析(BTA)通过物种属性将群落结构与生态功能以及对环境驱动因素的响应联系起来。因此,它已成为海洋底栖生物研究中的一种流行方法。然而,如果科学界不承认其当前的缺点和局限性,BTA 将走入死胡同:(a)与数据来源相关的不确定性以及特征信息缺乏标准化报告;(b)关于多个相互作用特征在驱动生物体对环境变化响应方面的作用的知识空白;(c)关于特征与功能之间机制联系的知识空白;(d)对物种特征表达所固有的空间和时间变异性关注不足;最后但同样重要的是,(e)由于许多底栖物种基础生态学方面存在巨大知识空白,对专家知识的高度依赖。只有当科学界能够标准化和统一特征数据的报告与存储,并重新考虑基线观测和实验研究对于填补生物特征、功能与环境变异性之间机制联系方面知识空白的重要性时,BTA 才能充分发挥其潜力。可以通过采用海洋监测中的新技术进展,如水下相机技术和人工智能,并利用考虑生物系统相互作用性质和时空变异性的先进统计方法来协助应对这一挑战。科学界必须摒弃一些死胡同,探索新的途径,以增进我们对单个物种、特征以及底栖生态系统功能的理解。