Martins A, Di Domenico M, Costa Y, Barros F
Laboratório de Ecologia Bentônica, CIENAM & Instituto de Biologia & INCT Estudos Interdisciplinares e Transdisciplinares em Ecologia e Evolução, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Laboratório de Ecologia Marinha. Centro de Estudos do Mar, Universidade Federal do Paraná, Pontal do Paraná, Paraná, Brazil.
R Soc Open Sci. 2024 Oct 23;11(10):241176. doi: 10.1098/rsos.241176. eCollection 2024 Oct.
Ecosystem functioning studies have gained prominence due to concerns about the decline of species. In marine sediments, benthic invertebrates perform important ecological functions. However, the challenges within the field of functional ecology are sparsely discussed. Our aim was to systematize the problems and suggest pathways forward. To achieve this, we review recent articles on functional ecology on marine sediments and identified two main issues. First, the absence of a clear definition of terms. Second, in terms of applicability, we observed a mismatch between the scales of functioning and traits, incomplete information on trait databases, inappropriate selection of traits, subjective measures of traits, overlooked trait variability and data analyses without the link between the taxonomy and the traits associated with functions. We propose some pathways to overcome the challenges, such as (i) reasoning of the concept of function, process and trait, (ii) increasing experiments to measure functions, (iii) clarification of the relationship between traits and functions, (iv) clear procedure for assigning trait scores, (v) experiments for understanding trait variability and function performance, and (vi) analyses that consider the sets of traits of each taxon. Overcoming these challenges will allow us to advance research and fill gaps in knowledge of ecosystem functioning.
由于对物种衰退的担忧,生态系统功能研究日益受到关注。在海洋沉积物中,底栖无脊椎动物发挥着重要的生态功能。然而,功能生态学领域内的挑战却鲜有讨论。我们的目标是梳理这些问题并提出前进的方向。为此,我们回顾了近期关于海洋沉积物功能生态学的文章,并确定了两个主要问题。第一,术语缺乏明确的定义。第二,在适用性方面,我们观察到功能尺度与性状之间存在不匹配,性状数据库信息不完整,性状选择不当,性状测量主观,忽视了性状变异性,以及在分类学与功能相关性状之间缺乏联系的情况下进行数据分析。我们提出了一些克服这些挑战的途径,例如:(i)对功能、过程和性状概念进行推理;(ii)增加测量功能的实验;(iii)阐明性状与功能之间的关系;(iv)明确分配性状分数的程序;(v)开展理解性状变异性和功能表现的实验;(vi)考虑每个分类单元性状集的分析。克服这些挑战将使我们能够推进研究并填补生态系统功能知识方面的空白。