Trait assembly in grasslands depends on habitat history and spatial scale
- 957 Downloads
During the past century, grasslands in Europe have undergone marked changes in land-use, leading to a decline in plant diversity both at local and regional scales, thus possibly also affecting the mechanisms of species sorting into local communities. We studied plant species assembly in grasslands with differing habitat history and hypothesised that trait divergence prevails in historical grasslands due to niche differentiation and trait convergence prevails in more dynamic grasslands due to competitive exclusion and dispersal limitation. We tested these hypotheses in 35 grassland complexes in Estonia, containing neighbouring grassland habitats with different land-use histories: continuously managed open historical grassland, currently overgrown former grassland and young developing grassland. We assessed species assembly patterns in each grassland type for finer scale—a 2 × 2 m plot scale from a local community pool and for broader scale—a local community from the habitat species pool for that grassland stage and observed changes in trait means at finer scale. We found that grasslands with long management history are assembled differently from former grasslands or young developing grasslands. In historical grasslands, divergence or random patterns prevailed at finer scale species assembly while in former or developing grasslands, mostly convergence patterns prevailed. With increasing scale convergence patterns become more prevalent in all grassland types. We conclude that land-use history is an important factor to consider when assessing grassland functional trait assembly, particularly at small scales. Understanding the mechanisms behind species assembly and their relationship with land-use history is vital for habitat conservation and restoration.
KeywordsEnvironmental filtering Functional diversity Land-use change Limiting similarity Species pool
We thank Prof. Jan Lepš for support in data analysis and Dr. Krista Takkis and Dr. Jonathan Bennett for helpful comments and language correction. This work was funded by the Estonian Research Council (Grant Number 9223), Estonian Ministry of Education and Research (Grant Number IUT 20-29), DoRa programme, Czech Science Foundation (Grant Number GA16-15012S) and the European Union through the European Regional Development Fund (Centre of Excellence EcolChange).
Author contribution statement
AH, FB, LS and MP designed the study. AH conducted the field sampling. LS and FB analysed the data. LS wrote the manuscript and all authors contributed substantially to revisions.
- Cornwell WK, Schwilk DW, Ackerly DD (2006) A trait-based test for habitat filtering: convex hull volume. Ecology 87:1465–1471. doi:10.1890/0012-9658(2006)87[1465:attfhf]2.0.co;2Google Scholar
- Eriksson MOG, Rosén E (2008) Management of Natura 2000 habitats 2680 *Nordic alvar and precambrian calcareous flatrocks, Technical Report 2008 16/24, European CommissionGoogle Scholar
- Kasari L, Gazol A, Kalwij JM, Helm A (2013) Low shrub cover in alvar grasslands increases small-scale diversity by promoting the occurrence of generalist species. Tuexenia 33:293–308Google Scholar
- Klotz S, Kühn I, W. Durka H (2002) BIOLFLOR—Eine Datenbank zu biologisch-ökologischen Merkmalen der Gefäßpflanzen in Deutschland. Schriftenreihe für Vegetationskunde 38. Bonn: Bundesamt für NaturschutzGoogle Scholar
- Laasimer L (1965) Eesti NSV Taimkate. Eesti NSV Teaduste Akadeemia Zooloogia ja Botaanika Instituut. Valgus, TallinnGoogle Scholar
- Laliberté E, Legendre P, Shipley B (2014) FD: measuring functional diversity (FD) from multiple traits, and other tools for functional ecology. R Package Version 1.0-12Google Scholar
- Mayfield M, Bonser S, Morgan J, Aubin I, McNamara S, Vesk P (2010) What does species richness tell us about functional trait diversity? Predictions and evidence for responses of species and functional trait diversity to land-use change. Glob Ecol Biogeogr 19:423–431. doi: 10.1111/j.1466-8238.2010.00532.x Google Scholar
- R Development Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. http://www.R-project.org/. Accessed 18 Jan 2015
- Royal Botanic Gardens Kew (2015) Seed Information Database (SID). Version 7.1. http://data.kew.org/sid/. Accessed 14 Mar 2015