Relationships between leaf mass per area and nutrient concentrations in 98 Mediterranean woody species are determined by phylogeny, habitat and leaf habit
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This study reinforces the existence of the leaf economics spectrum in Mediterranean woody species, and demonstrates the strong influence of phylogeny, leaf habit and environmental context as main drivers of variability in structural and nutrient traits of leaves.
Leaf structural and nutrient traits are key attributes of plant ecological strategies, as these traits are related to resource-use strategies and plant growth. However, leaf structure and nutrient composition can vary among different habitats, leaf habits or phylogenetic groups. In this study, we measured 13 leaf traits (one structural—leaf mass per area, LMA—and 12 nutrient traits) in 98 Mediterranean woody species growing over a wide range of environmental conditions, with the final aim of discerning the main causes of leaf trait variability. The variance decomposition results show that phylogeny, leaf habit and habitat type affected in several ways the structural and nutrient traits studied. Leaf nutrient concentrations are strongly positively correlated amongst themselves, and negatively correlated with LMA, in accordance with the “leaf economics spectrum”. We found that leaf habit and phylogeny were important causes of variation in LMA and in a broad number of leaf nutrients (i.e., C, N, Mg, S, K), while other micronutrients seemed to be more dependent on the environment (i.e., Cu and Mn). In summary, our study reinforces the existence of the leaf economics spectrum in a broad pool of Mediterranean woody species, and demonstrates the strong influence of phylogeny, leaf habit and environmental context as the main drivers of variability in some leaf structural and nutrient traits.
KeywordsFunctional traits Leaf economics spectrum Nitrogen Phosphorus Phylogenetic independent contrast (PIC) Stoichiometry
We thank C. Navarro-Fernández, M. Olmo, C. Aponte, M. Domínguez and A. Herrero for their help in the sampling and processing of leaves. Dr. David Walker revised the English. This study was funded by the Spanish MEC coordinated project DIVERBOS (CGL2011-30285-C02-01 and C02-02), the Andalusian ANASINQUE project (PGC2010-RNM-5782), the Life + Biodehesa Project (11/BIO/ES/000726), ECO-MEDIT (CGL2014-53236-R), RESTECO (CGL2014-52858-R) and European FEDER funds.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Brouwer R (1962) Nutritive influences on the distribution of dry matter in the plant (No. 205)Google Scholar
- de la Riva EG, Pérez-Ramos IM, Tosto A, Navarro-Fernández CM, Olmo M, Marañón T, Villar R (2016c) Disentangling the relative importance of species occurrence, abundance and intraspecific variability in community assembly: a trait-based approach at the whole-plant level in Mediterranean forests. Oikos 125:354–363CrossRefGoogle Scholar
- European Commission (2013) Interpretation manual of European Union Habitats—EUR28Google Scholar
- Koerselman W, Meuleman AFM (1994) Groeibeperkende voedingsstoffen in verschillende typen duinvalleien; resultaten van bemestingsexperimenten. Kiwa N.V. Research and Consultancy, NieuwegeinGoogle Scholar
- Mayland HF (1990) Magnesium in plants: uptake, distribution, function, and utilization by man and animals. Metal ions in biological systems: volume 26: compendium on magnesium and its role in biology: nutrition and physiology, pp 26–33Google Scholar
- Niinemets U, Sack L (2006) Structural determinants of leaf light-harvesting capacity and photosynthetic potentials. Progress Bot 67:385–419Google Scholar
- Peñuelas J, Sardans J, Ogaya R, Estiarte M (2008) Nutrient stoichiometric relations and biogeochemical niche in coexisting plant species: effect of simulated climate change. Pol J Ecol 56:613–622Google Scholar
- Pinheiro J, Bates D, DebRoy S, Sarkar D, R Core Team (2015) nlme: linear and nonlinear mixed effects models. R package version 3.1–121. http://CRAN.R-project.org/package=nlme
- R Development Core Team R (2011) A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. http://www.r-project.org. Accessed 31 Jan 2011
- Sterner RW, Elser JJ (2002) Ecological stoichiometry: the biology of elements from molecules to the biosphere. Princeton University Press, PrincetonGoogle Scholar
- Tilman D (1997) Mechanisms of plant competition. Plant ecology, Second edn. Blackwell Science, OxfordGoogle Scholar