Leaf functional traits for the assessment of succession following management in semi-natural grasslands: a case study in the North Apennines, Italy
Article first published online: 9 AUG 2012
© 2012 International Association for Vegetation Science
Applied Vegetation Science
Volume 16, Issue 2, pages 325–332, April 2013
How to Cite
Targetti, S., Messeri, A., Staglianò, N., Argenti, G. (2013), Leaf functional traits for the assessment of succession following management in semi-natural grasslands: a case study in the North Apennines, Italy. Applied Vegetation Science, 16: 325–332. doi: 10.1111/j.1654-109X.2012.01223.x
- Issue published online: 4 MAR 2013
- Article first published online: 9 AUG 2012
- Manuscript Accepted: 22 JUN 2012
- Manuscript Received: 5 AUG 2011
- Italian Ministry for University and Research
- Functional composition;
- Grassland management;
- Horse grazing;
- Leaf dry matter content;
- Leaf N concentration;
- Specific leaf area
Do leaf functional traits describe variation in the intensity of management in semi-natural grasslands?
Mugello, North Apennines, Italy.
In an ecologically homogeneous area, we identified four grassland management practices (three different stocking rates and abandonment for 10 or more years). We measured leaf functional traits (LFT) of three dominant grass species – leaf dry matter content (LDMC), specific leaf area (SLA) and leaf N concentration (LNC) – in two permanent sampling plots per treatment for two consecutive years. Statistical tests and multivariate analysis were employed to compare the traits and analyse their sensitivity in responding to the different management intensities.
The robustness of LDMC and SLA in grass species ranking was confirmed. Weighted LDMC and SLA were able to differentiate the most intensely managed site from the others.
The results of the weighted LDMC and the weighted SLA encourage further studies aimed at the development of a LFT database for the most common grass species of Apennine semi-natural grasslands. This could be of great help in the development of indicators able to support the formulation of rational management plans for conservation and sustainable animal production.