| Title | Functional diversity metrics using kernel densityn-dimensional hypervolumes |
| Abstract | The use ofn-dimensional hypervolumes in trait-based ecology is rapidly increasing. By representing the functional space of a species or community as a Hutchinsonian niche, the abstract Euclidean space defined by a set of independent axes corresponding to individuals or species traits, these multidimensional techniques show great potential for the advance of functional ecology theory. In the panorama of existing methods for delineating multidimensional spaces, therpackagehypervolume(Global Ecology and Biogeography, 23, 2014, 595-609) is currently the most used. However, functions for calculating the standard set of functional diversity (FD) indices-richness, divergence and regularity-have not been developed within thehypervolumeframework yet. This gap is delaying its full exploitation in functional ecology, meanwhile preventing the possibility to compare its performance with that of other methods. We develop a set of functions to calculate FD indices based onn-dimensional hypervolumes, including alpha (richness), beta (and respective components), dispersion, evenness, contribution and originality. Altogether, these indices provide a coherent framework to explore the primary mathematical components of FD within a multidimensional setting. These new functions can work either with hypervolume objects or with raw data (species presence or abundance and their traits) as input data, and are versatile in terms of input parameters and options. These functions are implemented withinbat(Biodiversity Assessment Tools), anrpackage for biodiversity assessments. As a coherent corpus of functional indices based on a common algorithm, it opens the possibility to fully explore the strengths of the Hutchinsonian niche concept in community ecology research. |
| Source | Methods in ecology and evolution (Online) |
| Keywords | alpha diversitybeta diversityfunctional divergencefunctional evennessfunctional richnessfundamental nicheHutchinsonian hypervolumetraits |
| Journal | Methods in ecology and evolution (Online) |
| Editor | Wiley, [Bognor Regis], Regno Unito |
| Year | 2020 |
| Type | Articolo in rivista |
| DOI | 10.1111/2041-210X.13424 |
| Authors | Mammola, Stefano; Cardoso, Pedro |
| Text | 424971 2020 10.1111/2041 210X.13424 ISI Web of Science WOS 000541443300001 alpha diversity beta diversity functional divergence functional evenness functional richness fundamental niche Hutchinsonian hypervolume traits Functional diversity metrics using kernel densityn dimensional hypervolumes Mammola, Stefano; Cardoso, Pedro Natl Res Council CNR; Univ Helsinki The use ofn dimensional hypervolumes in trait based ecology is rapidly increasing. By representing the functional space of a species or community as a Hutchinsonian niche, the abstract Euclidean space defined by a set of independent axes corresponding to individuals or species traits, these multidimensional techniques show great potential for the advance of functional ecology theory. In the panorama of existing methods for delineating multidimensional spaces, therpackagehypervolume Global Ecology and Biogeography, 23, 2014, 595 609 is currently the most used. However, functions for calculating the standard set of functional diversity FD indices richness, divergence and regularity have not been developed within thehypervolumeframework yet. This gap is delaying its full exploitation in functional ecology, meanwhile preventing the possibility to compare its performance with that of other methods. We develop a set of functions to calculate FD indices based onn dimensional hypervolumes, including alpha richness , beta and respective components , dispersion, evenness, contribution and originality. Altogether, these indices provide a coherent framework to explore the primary mathematical components of FD within a multidimensional setting. These new functions can work either with hypervolume objects or with raw data species presence or abundance and their traits as input data, and are versatile in terms of input parameters and options. These functions are implemented withinbat Biodiversity Assessment Tools , anrpackage for biodiversity assessments. As a coherent corpus of functional indices based on a common algorithm, it opens the possibility to fully explore the strengths of the Hutchinsonian niche concept in community ecology research. Published version Articolo in rivista Wiley 2041 210X Methods in ecology and evolution Online Methods in ecology and evolution Online Methods ecol. evol. Online Methods in ecology and evolution Online stefano.mammola MAMMOLA STEFANO |
