data from Plant-plant interactions, environmental gradients and plant diversity: a global synthesis of community-level studies

<p>data of Soliveres, S. & Maestre, F.T. (2014). Plant-plant interactions, environmental gradients and plant diversity: a global synthesis of community-level studies. Perspectives in Plant Ecology, Evolution and Systematics</p

Matlab and R Codes from "Plant spatial patterns identify alternative ecosystem multifunctionality states in global drylands"

These files contain the Matlab and R codes used on the study entitled "Plant spatial patterns identify alternative ecosystem multifunctionality states in global drylands", by Miguel Berdugo, Sonia Kéfi, Santiago Soliveres and Fernando T. Maestre. A road map on how codes where used through the paper is provided in a word document.</p

Data from "Berdugo, M.; Kéfi, S.; Soliveres, S.; Maestre, F.T. Plant spatial patterns identify alternative ecosystem multifunctionality states in global drylands. Nature Ecology & Evolution 1: 0003. 2017. doi:10.1038/s41559-016-0003"

Data from the article: "Berdugo, M.; Kéfi, S.; Soliveres, S.; Maestre, F.T. Plant spatial patterns identify alternative ecosystem multifunctionality states in global drylands".There are two spreadsheets with data. The spreadsheet "Data" contains the raw data at the different sampling times. The spreadsheet "Metadata" contains the associated metadata, where a description of all the variables and units can be found. All the methodological details can be found in the article.Abstract:Drylands may shift between healthy and degraded states in response to climatic changes or anthropogenic disturbances. These shifts are unannounced and difficult to reverse once they happen, thus their prompt detection is of crucial importance. The distribution of vegetation patch sizes may indicate the proximity to these shifts, but their use is hampered by the lack of large-scale studies relating them to multifunctionality (the provision of multiple ecosystem functions) and comparing them to other ecosystem attributes such as total plant cover. Here we overcome these limitations by sampling 115 dryland communities across the globe and relating their vegetation attributes (cover and patch-size distributions) to multifunctionality. This latter variable followed a bimodal distribution, which suggests contrasting multifunctionality states in global drylands. Although plant cover was most strongly related to multifunctionality, only patch-size distributions identified the bimodality found in its distribution. The uncoupling between different nutrient cycles and the loss of self-organizing biotic processes were identified as the mechanisms underlying the multifunctionality states observed. Our findings support the use of vegetation patterns as functional indicators in drylands, and pave the way for developing effective strategies to monitor desertification processes in global drylands.</div

Data from “Environmental correlates of species rank – abundance distributions in global drylands”

Data from Ulrich, W., S. Soliveres, A. Thomas, A. Dougill & F. T. Maestre. Environmental correlates of species rank – abundance distributions in global drylands. Perspectives in Plant Ecology, Evolution and Systematics, doi:10.1016/j.ppees.2016.04.004There are two spreadsheets with data. The spreadsheet "Data" contains the data used in the manuscript. The spreadsheet "Metadata" contains the associated metadata, where a description of all the variables and units can be found. All the methodological details can be found in the article.<br

Le Bagousse-Pinguet et al. 2019_PNAS_Phylogenetic supertree

Phylogenetic supertree used in the present study.<br

Dataset and R code from “Aridity preferences alter the relative importance of abiotic and biotic drivers on plant species abundance in global drylands”

Zip file containing the dataset and R code used to perform the analyses described in “<b>Aridity preferences alter the relative importance of abiotic and biotic drivers on plant species abundance in global drylands</b><p><b></b></p>”<br

Data and Rcode from the article "Global ecosystem thresholds driven by aridity", doi: 10.1126/science.aay5958

Data from " Berdugo, M., M. Delgado-Baquerizo, S. Soliveres, R. Hernández-Clemente, Y. Zhao, J. J. Gaitán, N. Gross, H. Saiz, V. Maire, A. Lehman, M. C. Rillig, R. V. Solé & F. T. Maestre. Global ecosystem thresholds driven by aridity. Science .... "There is one folder with the database (6 files), and another with the bootstrapped parameters of the regressions presented in Fig. S2. Another file called "threshold final2" contains bootstrapped thresholds presented in Figure 1. Data regarding global maps and remote sensing can be downloaded freely from original sources. There are also two files with the necessary code to generate figures and perform analyses in R code. All the methodological details can be found in the article.<br