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Functional trait‐based approaches as a common framework for aquatic ecologists

Authors :
Martini, S.
Larras, Floriane
Boyé, A.
Faure, E.
Aberle, N.
Archambault, P.
Bacouillard, L.
Beisner, B.E.
Bittner, L.
Castella, E.
Danger, M.
Gauthier, O.
Karp‐Boss, L.
Lombard, F.
Maps, F.
Stemmann, L.
Thiébaut, E.
Usseglio‐Polatera, P.
Vogt, M.
Laviale, M.
Ayata, S.-D.
Martini, S.
Larras, Floriane
Boyé, A.
Faure, E.
Aberle, N.
Archambault, P.
Bacouillard, L.
Beisner, B.E.
Bittner, L.
Castella, E.
Danger, M.
Gauthier, O.
Karp‐Boss, L.
Lombard, F.
Maps, F.
Stemmann, L.
Thiébaut, E.
Usseglio‐Polatera, P.
Vogt, M.
Laviale, M.
Ayata, S.-D.
Source :
ISSN: 0024-3590
Publication Year :
2020

Abstract

Aquatic ecologists face challenges in identifying the general rules of the functioning of ecosystems. A common framework, including freshwater, marine, benthic, and pelagic ecologists, is needed to bridge communication gaps and foster knowledge sharing. This framework should transcend local specificities and taxonomy in order to provide a common ground and shareable tools to address common scientific challenges. Here, we advocate the use of functional trait‐based approaches (FTBAs) for aquatic ecologists and propose concrete paths to go forward. Firstly, we propose to unify existing definitions in FTBAs to adopt a common language. Secondly, we list the numerous databases referencing functional traits for aquatic organisms. Thirdly, we present a synthesis on traditional as well as recent promising methods for the study of aquatic functional traits, including imaging and genomics. Finally, we conclude with a highlight on scientific challenges and promising venues for which FTBAs should foster opportunities for future research. By offering practical tools, our framework provides a clear path forward to the adoption of trait‐based approaches in aquatic ecology.

Details

Database :
OAIster
Journal :
ISSN: 0024-3590
Notes :
ISSN: 0024-3590, Limnology and Oceanography 66 (3);; 965 - 994, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1406013185
Document Type :
Electronic Resource