Original paper
Changes in plant diversity and carbon stocks along a succession from semi-natural grassland to submediterranean Quercus cerris L. woodland in Central Italy
Facioni, Laura; Burrascano, Sabina; Chiti, Tommaso; Giarrizzo, Eleonora; Zanini, Monica; Blasi, Carlo
Phytocoenologia Band 49 Heft 4 (2019), p. 393 - 408
111 references
published: Dec 23, 2019
published online: Nov 21, 2019
manuscript accepted: Mar 27, 2019
manuscript revision received: Mar 11, 2019
manuscript revision requested: Aug 10, 2018
manuscript received: Jul 25, 2018
ArtNo. ESP024004904003, Price: 29.00 €
Abstract
Aims: The majority of research on the diversity-productivity relationship has utilized aboveground plant biomass as a measure of overall ecosystem productivity and investigated successions with species-poor early stages. During this study we modelled patterns of plant diversity and carbon pools along a succession from pasture abandonment to submediterranean Quercus cerris woodland and investigated ecosystem productivity using biomass and soil carbon. Study area: The hilly-mountainous area of Tolfa in Central Italy. Methods: We used chronosequences to analyse changes in vascular plant species richness and composition across successional stages and along a gradient of productivity (i.e. of increasing carbon stocks). To test possible differences across successional stages species richness and carbon pool data were analysed through analysis of variance. Mixed model regression analyses were used to test the effect of the amount of the carbon stocks on the variation in plant species richness and composition. Results: We found a high variation in plant species richness along the succession, with grasslands and newly formed woods showing the highest values. The amount of carbon in biomass and soil increased along the succession, even if soil carbon did not differ significantly among successional stages. Plant species richness was not dependent on the variation in the carbon pools (i.e. biomass and soil carbon) along the succession, while plant species composition significantly responded to this variation. Conclusions: Our results strongly support the need to manage semi-natural ecosystems through a multi-functional perspective that values both carbon sequestration and biodiversity. Taxonomic reference: Bartolucci et al. (2018) Syntaxonomic reference: Di Pietro et al. (2010) Abbreviations: C = carbon; GLMMs = generalized linear mixed-effects models; LMMs = linear mixed effects models; PERMANOVA = permutational multivariate analysis of variance; PCoA = Principal coordinate analysis; PNV = potential natural vegetation; SOC = soil organic carbon; SR = species richness.
Keywords
Carbon pools • chronosequence • deciduous oak wood • land abandonment • plant species richness • productivity • soil organic carbon