Sáinz-Bariáin Marta, Polo Julia, Punzón Antonio, Hidalgo Manuel, García-Rodríguez Encarnación, Vivas Miguel, Esteban Antonio, López-López Lucía
Spanish Institute of Oceanography (IEO, CSIC), Santander Oceanographic Center (COST-IEO), Avenida Severiano Ballesteros, 16, 39004 Santander, Spain.
Spanish Institute of Oceanography (IEO, CSIC), Santander Oceanographic Center (COST-IEO), Avenida Severiano Ballesteros, 16, 39004 Santander, Spain; Norwegian College of Fishery Science, UiT, The Arctic University of Norway, PO, Box 6050 Stakkevollan, N-9037 Tromsø, Norway.
Mar Pollut Bull. 2025 Apr;213:117620. doi: 10.1016/j.marpolbul.2025.117620. Epub 2025 Jan 30.
Trait-based indicators offer insights into environmental impacts on communities but are often limited by the availability of species traits data, relying on subsets that may omit less studied taxa, leading to bias. To address this, we tested the species selection's influence on trait-based indices using filters based on occurrence, species' distributions, and abundance. Using data from two bottom-trawl surveys, we compiled 15 traits for the 246 most common demersal species in two temperate ecosystems in the North-East Atlantic and Mediterranean Sea. Our analyses revealed that trait data is strongly biased toward abundant and large species, particularly those of commercial importance or conservation concern. While species selection had minimal impact on community traits, excluding invertebrates strongly affected the results, highlighting their key role in community dynamics.
基于性状的指标能够深入了解环境对群落的影响，但往往受到物种性状数据可用性的限制，依赖于可能会遗漏较少研究类群的子集，从而导致偏差。为了解决这个问题，我们使用基于出现情况、物种分布和丰度的筛选器，测试了物种选择对基于性状的指数的影响。利用两次底拖网调查的数据，我们为东北大西洋和地中海两个温带生态系统中246种最常见的底栖物种编制了15个性状。我们的分析表明，性状数据强烈偏向于丰富和大型物种，特别是那些具有商业重要性或保护意义的物种。虽然物种选择对群落性状的影响最小，但排除无脊椎动物会强烈影响结果，突出了它们在群落动态中的关键作用。
