Document of bibliographic reference 393535

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
Unveiling the role of taxonomic sufficiency for enhanced ecosystem monitoring
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.
Bibliographic citation
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
Topic
Marine
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Diego Carreira-Flores
Identifier
https://orcid.org/0000-0001-9895-8222
author
Name
Marcos Rubal
author
Name
Edna Cabecinha
author
Name
Guillermo Díaz-Agras
author
Name
Pedro Gomes

Links

referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1016/j.marenvres.2024.106631

Document metadata

date created
2024-07-22
date modified
2024-07-22