plot_density_richness.csv: contains data of species richness and density of individuals per each plot. Variables: • site: provides information on the whether the plots are located at at Mediterranean (M) or the semi-arid (SA) site • soil_origin: provides information on the origin of the soil, Mediterranean (M) or semi-arid (SA). • block: identifying the block where a plot is situate (1-10) • plot: identifying the plot that was recorded (1-4) • SpRi: species richness, i.e. number of species counted in each plot • TotDens: total number of individuals counted in each plot the file contains 79 rows instead of 80, because one plot was destroyed by a mole these data were a...
Richness over the study period (1979 to 2008) of all understory species. Column headings are: Plot n...
Question: Seed bank sampling remains a critical bottleneck to the quality of studies investigating c...
This supporting document should allow one to recreate the analysis performed as part of “The optimal...
biomass_community_data.csv: dry weight of total biomass for each plot Variables: • site: provides in...
Data for all 10 of our study sites. This data matches figure 1 in the manuscript. Columns in this ex...
Plotwise ramet counts and belowground root densities of 13 species in 18 plots. Readme file is a par...
These data are from Grinath et al. 2019. Plot data represent variables across whole plots (includin...
<p>Species accumulation curves for remnant and control plots, for all stems ≥5 cm DBH. All species a...
Plot level data on average percent cover and species richness in plots spanning a range of 1) R. pon...
Plant species richness at plot level to test the effect of the treatment (grazed vs ungrazed conditi...
<p>The thick lines show means and the shaded regions the interquartile (25%–75%) ranges. The differe...
<p>The grey bars correspond to the observed values and the black bars to the expected values based o...
This csv file contains the full database of characteristics for each of 159 vegetation plots includi...
<p>Plot of observed values (diamonds) in communities and expected values (squares) vs. richness for ...
This file contains soil variables measured in 161 vegetation sampling plots located in 23 recovering...
Richness over the study period (1979 to 2008) of all understory species. Column headings are: Plot n...
Question: Seed bank sampling remains a critical bottleneck to the quality of studies investigating c...
This supporting document should allow one to recreate the analysis performed as part of “The optimal...
biomass_community_data.csv: dry weight of total biomass for each plot Variables: • site: provides in...
Data for all 10 of our study sites. This data matches figure 1 in the manuscript. Columns in this ex...
Plotwise ramet counts and belowground root densities of 13 species in 18 plots. Readme file is a par...
These data are from Grinath et al. 2019. Plot data represent variables across whole plots (includin...
<p>Species accumulation curves for remnant and control plots, for all stems ≥5 cm DBH. All species a...
Plot level data on average percent cover and species richness in plots spanning a range of 1) R. pon...
Plant species richness at plot level to test the effect of the treatment (grazed vs ungrazed conditi...
<p>The thick lines show means and the shaded regions the interquartile (25%–75%) ranges. The differe...
<p>The grey bars correspond to the observed values and the black bars to the expected values based o...
This csv file contains the full database of characteristics for each of 159 vegetation plots includi...
<p>Plot of observed values (diamonds) in communities and expected values (squares) vs. richness for ...
This file contains soil variables measured in 161 vegetation sampling plots located in 23 recovering...
Richness over the study period (1979 to 2008) of all understory species. Column headings are: Plot n...
Question: Seed bank sampling remains a critical bottleneck to the quality of studies investigating c...
This supporting document should allow one to recreate the analysis performed as part of “The optimal...