Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Concepts and applications in functional diversity |
| Abstract | The use of functional diversity analyses in ecology has grown exponentially over the past two decades, broadening our understanding of biological diversity and its change across space and time. Virtually all ecological sub-disciplines recognise the critical value of looking at species and communities from a functional perspective, and this has led to a proliferation of methods for estimating contrasting dimensions of functional diversity. Differences between these methods and their development generated terminological inconsistencies and confusion about the selection of the most appropriate approach for addressing any particular ecological question, hampering the potential for comparative studies, simulation exercises and meta-analyses. Two general mathematical frameworks for estimating functional diversity are prevailing: those based on dissimilarity matrices (e.g. Rao entropy, functional dendrograms) and those relying on multidimensional spaces, constructed as either convex hulls or probabilistic hypervolumes. We review these frameworks, discuss their strengths and weaknesses and provide an overview of the main R packages performing these calculations. In parallel, we propose a way for organising functional diversity metrics in a unified scheme to quantify the richness, divergence and regularity of species or individuals under each framework. This overview offers a roadmap for confidently approaching functional diversity analyses both theoretically and practically. A free Plain Language Summary can be found within the Supporting Information of this article. |
| Source | Functional ecology (Print) |
| Keywords | alpha diversitybeta diversitybiological traitfunctional dendrogramfunctional dispersionfunctional regularityfunctional richnesshypervolume |
| Journal | Functional ecology (Print) |
| Editor | British Ecological Society :, Oxford, Regno Unito |
| Year | 2021 |
| Type | Rassegna della letteratura scientifica in rivista (Literature review) |
| DOI | 10.1111/1365-2435.13882 |
| Authors | Mammola, Stefano; Carmona, Carlos P.; Guillerme, Thomas; Cardoso, Pedro |
| Text | 455849 2021 10.1111/1365 2435.13882 Scopus 2 s2.0 85111517903 alpha diversity beta diversity biological trait functional dendrogram functional dispersion functional regularity functional richness hypervolume Concepts and applications in functional diversity Mammola, Stefano; Carmona, Carlos P.; Guillerme, Thomas; Cardoso, Pedro Ökoloogia ja Maateaduste Instituut; Luonnontieteellinen Keskusmuseo; Consiglio Nazionale delle Ricerche; The University of Sheffield The use of functional diversity analyses in ecology has grown exponentially over the past two decades, broadening our understanding of biological diversity and its change across space and time. Virtually all ecological sub disciplines recognise the critical value of looking at species and communities from a functional perspective, and this has led to a proliferation of methods for estimating contrasting dimensions of functional diversity. Differences between these methods and their development generated terminological inconsistencies and confusion about the selection of the most appropriate approach for addressing any particular ecological question, hampering the potential for comparative studies, simulation exercises and meta analyses. Two general mathematical frameworks for estimating functional diversity are prevailing those based on dissimilarity matrices e.g. Rao entropy, functional dendrograms and those relying on multidimensional spaces, constructed as either convex hulls or probabilistic hypervolumes. We review these frameworks, discuss their strengths and weaknesses and provide an overview of the main R packages performing these calculations. In parallel, we propose a way for organising functional diversity metrics in a unified scheme to quantify the richness, divergence and regularity of species or individuals under each framework. This overview offers a roadmap for confidently approaching functional diversity analyses both theoretically and practically. A free Plain Language Summary can be found within the Supporting Information of this article. Published version http //www.scopus.com/record/display.url eid=2 s2.0 85111517903 origin=inward Main text published version 2021_MAMMOLA ET AL Functional ecology.pdf Rassegna della letteratura scientifica in rivista Literature review British Ecological Society 0269 8463 Functional ecology Print Functional ecology Print Funct. ecol. Print Functional ecology. Print stefano.mammola MAMMOLA STEFANO |