Niche-based selection and stochastic processes can operate simultaneously
to generate spatial and temporal variation in species composition. Yet,
the conditions under which ecological dynamics are dominated by
niche-based vs. stochastic processes are poorly understood. Using a field
experiment in early-successional temperate grassland and null models of
beta diversity, this study investigates the effects of soil nutrient
supply on the relative importance of niche-based selection vs. stochastic
dynamics for variation in species composition among sites. Nutrient
availability was manipulated experimentally, individual seed mixtures with
25 species were sown in each experimental plot, and then stochastic and
deterministic niche-based assembly processes were allowed to happen. We
found that compositional variation among grassland plots with low nutrient
supply was driven by stochastic immigration and extinctions. In contrast,
nutrient enrichment reduced the importance of stochasticity and imposed a
deterministic environmental filter that homogenized communities through
the selection of few species with greater competitive ability for light.
This demonstrates that soil nutrient availability is a critical
environmental feature that dictates the degree to which terrestrial plant
communities are controlled by niche-based selection vs. stochastic
assembly processes. Our study shows further that alternative states of
eutrophic grasslands emerge from initial stochastic variation in the
composition of a particular functional group of species that can become
dominant at high nutrient supply. We discuss potential mechanisms
underlying the shift from stochastic to niche-driven dynamics along soil
nutrient gradients.
Sown species
compositionThis file contains
information on which species were sown into each of 27 experimental plots
(2x2 m). The first column (‘plot.id’) gives the ID of the plot, linking
the table to the other tables. All other columns contain presence/absence
information of the plant species. 1, species sown; 0, species not
sown.Sown.txtLevel of nutrient supply and biomass of experimental plotsContains information on manipulated level of nutrient supply (low, moderate or high) of the plots and their aboveground biomass (g/m2) in the third year (2015). The first column (‘plot.id’) gives the ID of the plot, linking the table to the other tables.NutBiom.txtObserved species composition in first growing season (2013)Presence/absence information of plant species in 675 0.1x0.1-m squares belonging to 27 permanent plots of 0.5x0.5 m, sampled in the first growing season (2013). Each permanent plot contained 25 squares (5 rows and 5 columns), which were numbered from left to right, beginning in the first row of the permanent plot. The first column (‘square.id’) is a running number containing the square ID. The second column (‘plot.id’) gives the ID of the plot, linking the table to the other tables. The third column (‘square.no’) gives the number of the square in the respective permanent plot. All other columns contain presence/absence information of the plant species. 1, species present; 0, species absent.permplot2013.txtObserved species composition in second growing season (2014)Presence/absence information of plant species in 675 0.1x0.1-m squares belonging to 27 permanent plots of 0.5x0.5 m, sampled in the second growing season (2014). Each permanent plot contained 25 squares (5 rows and 5 columns), which were numbered from left to right, beginning in the first row of the permanent plot. The first column (‘square.id’) is a running number containing the square ID. The second column (‘plot.id’) gives the ID of the plot, linking the table to the other tables. The third column (‘square.no’) gives the number of the square in the respective permanent plot. All other columns contain presence/absence information of the plant species. 1, species present; 0, species absent.permplot2014.txtObserved species composition in third growing season (2015)Presence/absence information of plant species in 675 0.1x0.1-m squares belonging to 27 permanent plots of 0.5x0.5 m, sampled in the third growing season (2015). Each permanent plot contained 25 squares (5 rows and 5 columns), which were numbered from left to right, beginning in the first row of the permanent plot. The first column (‘square.id’) is a running number containing the square ID. The second column (‘plot.id’) gives the ID of the plot, linking the table to the other tables. The third column (‘square.no’) gives the number of the square in the respective permanent plot. All other columns contain presence/absence information of the plant species. 1, species present; 0, species absent.permplot2015.txtAdditional species in 2013Additional species found in 2013 outside the 0.5x0.5-m permanent plots but within the 2x2-m experimental plots. The first column (‘plot.id’) gives the ID of the plot, linking the table to the other tables. All other columns contain presence/absence information of the plant species. 1, species present; 0, species absent.addplot2013.txtAdditional species in 2014Additional species found in 2014 outside the 0.5x0.5-m permanent plots but within the 2x2-m experimental plots. The first column (‘plot.id’) gives the ID of the plot, linking the table to the other tables. All other columns contain presence/absence information of the plant species. 1, species present; 0, species absent.addplot2014.txtAdditional species in 2015Additional species found in 2015 outside the 0.5x0.5-m permanent plots but within the 2x2-m experimental plots. The first column (‘plot.id’) gives the ID of the plot, linking the table to the other tables. All other columns contain presence/absence information of the plant species. 1, species present; 0, species absent.addplot2015.txt
| Datum zugänglich gemacht | 20.01.2017 |
|---|
| Verlag | ZENODO |
|---|
| Datum der Datenproduktion | 20.01.2017 |
|---|
| Geografischer Geltungsbereich | South Germany |
|---|