Functional traits and local environment predict vegetation responses to disturbance: a pan-European multi-site experiment
Bernhardt-Romermann, Markus; Gray, Alan ORCID: https://orcid.org/0000-0002-6785-0590; Vanbergen, Adam J.
ORCID: https://orcid.org/0000-0001-8320-5535; Berges, Laurent; Bohner, Andreas; Brooker, Rob W.; De Bruyn, Luc; De Cinti, Bruno; Dirnbock, Thomas; Grandin, Ulf; Hester, Alison J.; Kanka, Robert; Klotz, Stefan; Loucougaray, Gregory; Lundin, Lars; Matteucci, Giorgio; Meszaros, Ilona; Olah, Viktor; Preda, Elena; Prevosto, Bernard; Pykala, Juha; Schmidt, Wolfgang; Taylor, Michele E.; Vadineanu, Angheluta; Waldman, Theresa; Stadler, Jutta.
2011
Functional traits and local environment predict vegetation responses to disturbance: a pan-European multi-site experiment.
Journal of Ecology, 99 (3).
777-787.
https://doi.org/10.1111/j.1365-2745.2011.01794.x
Abstract/Summary
1. Disturbance is one of the most important factors structuring the taxonomic and functional composition of vegetation. Vegetation resistance or resilience to disturbance depends on local environmental conditions, further modifying the pool of species and traits. This paper aims to understand how disturbance and local environment combine to affect the resistance and resilience of vegetation. 2. A functional-trait approach was used to detect traits related to vegetation resistance and resilience, and trait attributes of individual species responding to disturbance. Trait approaches enable comparison of vegetation responses across biogeographic regions containing different species pools. 3. At 35 European forest and grassland sites, experimental disturbance (human trampling) was applied at five intensities. Indices for resistance and resilience were calculated, based on total vegetation cover, and related to climate and local site factors. Additional indices were calculated for the most common species to demonstrate traits that confer resistance and resilience to disturbance. 4. Vegetation resistance was related to occurrence of species with traits selected by a history of intensive land use (smaller leaf size, rosette plant form) and local environmental conditions. Vegetation resilience, however, was associated with ecosystem properties that facilitate higher growth rates. Resilient vegetation occurred where irradiation was higher (grasslands, open forests) with sufficient water availability (summer precipitation, humidity) and comprised of species with traits related to enhanced growth rates (increased specific leaf area, decreased leaf dry matter content). 5. Synthesis. This pan-European disturbance experiment demonstrates that different drivers (land use or climate) of vegetation response show different mechanistic responses to physical disturbance. Resistance depends on the functional composition of predominant species in the assemblage, which is strongly affected by land-use history; resilience is directly connected to growth rates affected by climate. We argue for the inclusion of land-use history and climate into the planning process for visitor management, especially in areas of high conservation interest.
Item Type: | Publication - Article |
---|---|
Digital Object Identifier (DOI): | https://doi.org/10.1111/j.1365-2745.2011.01794.x |
Programmes: | CEH Topics & Objectives 2009 - 2012 > Biodiversity > BD Topic 2 - Ecological Processes in the Environment > BD - 2.2 - Quantify the impact of invasive species, pathogens ... CEH Topics & Objectives 2009 - 2012 > Biodiversity > BD Topic 3 - Managing Biodiversity and Ecosystem Services in a Changing Environment > BD - 3.4 - Provide science-based advice ... |
UKCEH and CEH Sections/Science Areas: | Watt Pywell |
ISSN: | 0022-0477 |
Additional Keywords: | aridity, climate, continentality, determinants of plant community diversity and structure, forest, grassland, hemeroby, plant ecological strategy, resilience, resistance |
NORA Subject Terms: | Ecology and Environment |
Date made live: | 07 Sep 2011 08:49 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/15061 |
Actions (login required)
![]() |
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year