Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/244445
COMPARTIR / EXPORTAR:
logo share SHARE logo core CORE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Invitar a revisión por pares abierta
Título

Trait-based indices to assess benthic vulnerability to trawling and model loss of ecosystem functions

AutorHinz, Hilmar CSIC ORCID ; Törnroos, Anna; de Juan, Silvia CSIC ORCID
Palabras claveFishing impacts
Otter trawling
Macro-fauna
Infauna
Epifauna
Ecological traits
Ecosystem function
Bioturbation
Vulnerability
Resilience
Fecha de publicaciónjul-2021
EditorElsevier
CitaciónEcological Indicators 126: 107692 (2021)
ResumenThe physical impact of bottom towed fishing gears does not only reduce the abundance and biomass of species, but also alter the overall species composition and, through this, the functioning of benthic communities. The vulnerability of a species is determined by its individual combination of morphological, behavioural and life history traits. In turn, ecosystem functions are most affected when those species identified as vulnerable, contribute disproportionately to that function. On the basis of this paradigm, trait-based indices of physical resistance (RI) and recovery potential (RPI) were developed and combined into an overall vulnerability index on a species level, the RRI or Resistance and Recovery Potential Index. The developed indices can be used to explore how resistance and recovery potential of benthic communities change over different levels of trawling. Furthermore, the RRI allows for dividing the benthic community into groups expressing different levels of vulnerability that can be linked to ecosystem functions to explore functional vulnerability to trawling. The RRI index futher opens up the possibility for scenario modelling by simulating the extinction or loss of vulnerable species and its effects on functions. This may be of particular interest in data poor case studies that lack trawling gradient data, or to explore the consequences of potential increases in fishing effort. The validity of the trait-based RRI index was tested by comparing individual species’ RRI scores to empirically observed responses over a trawling gradient. RRI score and observed responses (regression slopes) were significantly correlated providing support for the rationality of the approach. Moreover, further analysis of the data evidenced clear increases of resistance and resilience indices over the trawling gradient, demonstrating that communities lost vulnerable species with increasing trawling. When exploring the effects of trawling on the bioturbation, as a chosen ecosystem function, we found it to be disproportionately affected though the loss of vulnerable species. The proposed indices provide new insights into the link of species vulnerability and function. Such information is of vital interest to environmental managers focused on preserving ecosystem functions and services in the face of anthropogenic global change
Descripción10 pages, 5 figures, 3 tables, supplementary data https://doi.org/10.1016/j.ecolind.2021.107692
Versión del editorhttps://doi.org/10.1016/j.ecolind.2021.107692
URIhttp://hdl.handle.net/10261/244445
DOI10.1016/j.ecolind.2021.107692
ISSN1470-160X
Aparece en las colecciones: (ICM) Artículos
(IMEDEA) Artículos




Ficheros en este ítem:
Fichero Descripción Tamaño Formato
Hinz_et_al_2021.pdf2,78 MBAdobe PDFVista previa
Visualizar/Abrir
Hinz_et_al_2021_suppl_1.xlsx100,16 kBMicrosoft Excel XMLVisualizar/Abrir
Hinz_et_al_2021_suppl_2.xlsx125,63 kBMicrosoft Excel XMLVisualizar/Abrir
Hinz_et_al_2021_suppl_3.xlsx13,38 kBMicrosoft Excel XMLVisualizar/Abrir
Hinz_et_al_2021_suppl_4.xlsx16,72 kBMicrosoft Excel XMLVisualizar/Abrir
Hinz_et_al_2021_suppl_5.xlsx10,59 kBMicrosoft Excel XMLVisualizar/Abrir
Hinz_et_al_2021_suppl_6.xlsx11,61 kBMicrosoft Excel XMLVisualizar/Abrir
Mostrar el registro completo

CORE Recommender

SCOPUSTM   
Citations

13
checked on 18-abr-2024

WEB OF SCIENCETM
Citations

14
checked on 25-feb-2024

Page view(s)

83
checked on 18-abr-2024

Download(s)

134
checked on 18-abr-2024

Google ScholarTM

Check

Altmetric

Altmetric


Este item está licenciado bajo una Licencia Creative Commons Creative Commons