TY - JOUR
T1 - Defining functional groups using dietary data
T2 - Quantitative comparison suggests functional classification for seed-dispersing waterfowl
AU - Reynolds, Chevonne
AU - Cumming, Graeme S.
N1 - Funding Information:
We would like to thank Margaret Koopman for assistance in sourcing literature. We would also like to thank Christopher J. Whelan, Andy J. Green and one anonymous reviewer for helpful feedback on an earlier version of this manuscript. We are grateful to the National Research Foundation of South Africa, the DST/NRF Centre of Excellence at the Percy FitzPatrick Institute, and the James S. McDonnell Foundation for funding support.
Publisher Copyright:
© 2015 Gesellschaft für Ökologie.
PY - 2016/6
Y1 - 2016/6
N2 - Recent years have seen considerable advances in ecological understanding of the functional role(s) of biodiversity and the connections between biodiversity, ecosystem function and ecosystem service provision. Functional approaches have become important tools for simplifying biodiversity-ecosystem function relationships, but they also have some obvious weaknesses. In particular, since analyses that use functional groups treat members of a group as ecologically interchangeable, functional groups must be defined at a level that simplifies ecological complexity yet retains key ecological distinctions between groups of species. We developed a data-driven approach to functional group definition and applied it to a case study of 16 species of seed-dispersing Afrotropical waterfowl for which we created seed dispersal functional groups using both a priori categories, as typically done in previous studies, and a hierarchical clustering approach. Relevant functional differences and similarities occur among the waterfowl, particularly in the types of plant family dispersed. We found evidence for at least five functional groups of seed disperser. The different groupings have important implications for both wetland and terrestrial plant dispersal. Our analysis suggests that even for a relatively data-scarce study system, using a data-driven approach to generate functional groups offers a feasible and ecologically rigorous approach and is a useful alternative to simple a priori classification schemes. Our approach is capable of capturing variation across several functional traits and suggests that existing datasets may be useful in exploring variation in biodiversity-ecosystem function relationships. Since functional classification schemes may affect our conclusions about biodiversity, ecosystem function and ecosystem service provision, considerable care should be given to ensuring that functional groups are not defined in such a way as to mask important ecological differences among supposedly similar species.
AB - Recent years have seen considerable advances in ecological understanding of the functional role(s) of biodiversity and the connections between biodiversity, ecosystem function and ecosystem service provision. Functional approaches have become important tools for simplifying biodiversity-ecosystem function relationships, but they also have some obvious weaknesses. In particular, since analyses that use functional groups treat members of a group as ecologically interchangeable, functional groups must be defined at a level that simplifies ecological complexity yet retains key ecological distinctions between groups of species. We developed a data-driven approach to functional group definition and applied it to a case study of 16 species of seed-dispersing Afrotropical waterfowl for which we created seed dispersal functional groups using both a priori categories, as typically done in previous studies, and a hierarchical clustering approach. Relevant functional differences and similarities occur among the waterfowl, particularly in the types of plant family dispersed. We found evidence for at least five functional groups of seed disperser. The different groupings have important implications for both wetland and terrestrial plant dispersal. Our analysis suggests that even for a relatively data-scarce study system, using a data-driven approach to generate functional groups offers a feasible and ecologically rigorous approach and is a useful alternative to simple a priori classification schemes. Our approach is capable of capturing variation across several functional traits and suggests that existing datasets may be useful in exploring variation in biodiversity-ecosystem function relationships. Since functional classification schemes may affect our conclusions about biodiversity, ecosystem function and ecosystem service provision, considerable care should be given to ensuring that functional groups are not defined in such a way as to mask important ecological differences among supposedly similar species.
KW - Aquatic plants
KW - Biodiversity
KW - Cluster analysis
KW - Distance-based redundancy analysis
KW - Ecosystem services
KW - Functional group
KW - Seed dispersal
KW - Waterbirds
UR - http://www.scopus.com/inward/record.url?scp=84954338654&partnerID=8YFLogxK
U2 - 10.1016/j.baae.2015.12.006
DO - 10.1016/j.baae.2015.12.006
M3 - Article
AN - SCOPUS:84954338654
SN - 1439-1791
VL - 17
SP - 333
EP - 343
JO - Basic and Applied Ecology
JF - Basic and Applied Ecology
IS - 4
ER -