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Unveiling the role of taxonomic sufficiency for enhanced ecosystem monitoring
Carreira-Flores, D.; Rubal, M.; Cabecinha, E.; Díaz-Agras, G.; Gomes, P.T. (2024). Unveiling the role of taxonomic sufficiency for enhanced ecosystem monitoring. Mar. Environ. Res. 200: 106631. https://dx.doi.org/10.1016/j.marenvres.2024.106631
In: Marine Environmental Research. Applied Science Publishers: Barking. ISSN 0141-1136; e-ISSN 1879-0291, more
Peer reviewed article  

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Keyword
    Marine/Coastal
Author keywords
    Epifaunal assemblages; Artificial substrates; Artificial Seaweed Monitoring System; Taxonomic sufficiency; Ecosystem monitoring

Authors  Top 
  • Carreira-Flores, D., more
  • Rubal, M.
  • Cabecinha, E.
  • Díaz-Agras, G.
  • Gomes, P.T.

Abstract
    The use of Artificial substrates (AS) as sampling devices addresses challenges in macrofaunal quantitative sampling. While effectively capturing biodiversity patterns, the time-intensitive identification process at the species level remains a substantial challenge. The Taxonomic Sufficiency approach (TS), where only taxa above species level are identified, arises as a potential solution to be tested across different environmental monitoring scenarios. In this paper, we analyzed three AS macrobenthic datasets to evaluate the odds of TS in improving the cost-effective ratio in AS monitoring studies and establish the highest resolution level to detect assemblage changes under different environmental factors. Results indicated that the family level emerged as a pragmatic compromise, balancing precision and taxonomic effort. Cost/benefit analysis supported TS efficiency, maintaining correlation stability until the family level. Results also showed that reducing resolution to family does not entail a significant Loss of Information. This study contributes to the discourse on TS applicability, highlighting its practicality in monitoring scenarios, including spatial-temporal studies, and rapid biodiversity assessments. Additionally, it highlights the “second best approach” of family-level practicality depending on the specific monitoring scenario and recognizes the importance of the species-level “best approach” before applying TS in monitoring studies.

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