Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Applied Vegetation S...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Applied Vegetation Science
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
versions View all 2 versions
addClaim

A 5‐year rotational grazing changes the botanical composition of sub‐alpine and alpine grasslands

Authors: Elisa Perotti; Massimiliano Probo; Marco Pittarello; Michele Lonati; Giampiero Lombardi;

A 5‐year rotational grazing changes the botanical composition of sub‐alpine and alpine grasslands

Abstract

AbstractAimThe implementation of Grazing Management Plans (GMP), a specific policy and management tool, aimed at enhancing farm productivity while preserving plant diversity, soil and landscape. The GMP are based on rotational grazing systems (RGS) with animal stocking rate adjusted to balance grassland carrying capacity. The aim was to test the 5‐year effects produced by GMP implementation on botanical composition, plant diversity and soil nutrient content on sub‐alpine and alpine pastures.LocationVal Troncea Natural Park, western Italian Alps.MethodsA total of 199 vegetation transects was carried out in summer 2011 and repeated in summer 2016. The botanical composition was recorded and plant diversity indices, i.e. species richness and Shannon diversity (H′ index), were computed. Mean soil nutrient content was indirectly estimated through computation of Landolt N indicator value (N index) for each transect. Pair‐sample statistical tests and PERMANOVA were perfomed at different levels: on the whole vegetation dataset, on vegetation communities (i.e. vegetation types and ecological groups) and considering functional pools of species.ResultsConsidering the whole vegetation dataset, species richness, H′ index and N index significantly increased from 2011 to 2016. Moreover, species richness significantly increased in almost all vegetation ecological groups, with the highest increase within the mesotrophic group. The H′ index significantly increased in eutrophic, pre‐forest and thermic groups, while the N index increased in all vegetation groups, except in the eutrophic and snow‐bed groups. A significant difference in botanical composition was detected within oligotrophic, mesotrophic and thermic groups. The number and cover of N‐poor high‐elevation species increased in all groups and this result might be related to effects produced by livestock, which promoted seed transport and increased connectivity amongst different communities. The meso‐eutrophic species number and cover significantly increased within thermic, mesotrophic and pre‐forest groups, suggesting greater use of such areas by livestock under RGS than under continuous grazing.ConclusionsThe implementation of RGS with stocking rate adjustments proved to be an effective and a sustainable management tool to enhance botanical composition and plant diversity of sub‐alpine and alpine grasslands over a 5‐year span.

Related Organizations
Keywords

Ecology, Management, Monitoring, Policy and Law, Nature and Landscape Conservation

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    33
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!