Threat patterns for endemic plants of Argentina reveal disparity of vulnerability and protection among spatially associated species groups
Creators: name: Salariato, Diego
Publisher: name: figshare
Year: 2023
Subjects: Community ecology (excl. invasive species ecology)

description: <strong>Data Description</strong> <strong>Electronic Supplementary Material Online</strong> <br> <strong>Fig. S1</strong> Overview of the methodological framework used to obtain clusters of spatially associated species, which were then used to study threat patterns and for hotspot identification and protection assessment <br> <strong>Fig. S2</strong> Clustering of Argentinean endemic species. <strong>a</strong> Hierarchical clustering of species using a Sørensen distance matrix and the Ward’s method. Clustering was estimated using only species with modeled binary maps (802 spp.), while the optimal number of groups was determined using the total within-cluster sum of squares (wss) and the L-method. <strong>b</strong>-<strong>j</strong> Some of the species included in the final clusters. <strong>b</strong> <em>Caiophora cernua</em> (Loasaceae) (cluster 1), <strong>c</strong> <em>Adesmia candida</em> (Fabaceae) (cluster 2), <strong>d</strong> <em>Oxalis muscoides</em> (Oxalidaceae) (cluster 3), <strong>e</strong> <em>Gomphrena mendocina</em> (Amaranthaceae) (cluster 4), <strong>f</strong> <em>Nothoscordum punillense</em> (Amaryllidaceae) (cluster 5), <strong>g</strong> <em>Gentianella hieronymii</em> (Gentianaceae) (cluster 6), <strong>h</strong> <em>Junellia hookeriana</em> (Verbenaceae), <strong>i</strong> <em>Diplolepis australis</em> (Apocynaceae) (cluster 8), <strong>j</strong> <em>Plectrocarpa rougesii</em> (Zygophyllaceae). Photos by: F.O. Zuloaga (<strong>b</strong>-<strong>d</strong>, <strong>f</strong>-<strong>i</strong>), D.L. Salariato (<strong>e</strong>), C. Zanotti (<strong>j</strong>) <br> <strong>Fig. S3 </strong>Determining the optimal number of clusters by the total within-cluster sum of squares (wss) and the L-method of Salvador and Chan (2004). <strong>a</strong> Scatterplot for wss values obtained with k clusters, where k=1-50. The regression lines correspond to the knee (k=9 in this case) where the value of RMSEc is minimized. <strong>b</strong> RMSEc values obtained under different knee values <br> <strong>Fig. S4</strong> Values registered in the different clusters (C1-C9) for: <strong>a</strong> the number of species, <strong>b</strong> number of genera, <strong>c</strong> number of families, <strong>d</strong> ratio between number of genera/number of species, and <strong>e</strong> ratio between number of families/number of species. Images: upper left: <em>Gilia foetida</em> (Polemoniaceae) (cluster 3) (photo by D.L. Salariato), upper right: <em>Trichocline exscapa</em> (Asteraceae) (cluster 6) (photo by F.O. Zuloaga), bottom: <em>Hieronymiella clidanthoides</em> (Amaryllidaceae) (cluster 9) (photo by F.O. Zuloaga) <br> <strong>Fig. S5 </strong>P values from multiple pairwise comparisons using the Wilcoxon rank sum test (with the Benjamini-Hochberg correction for multiple testing) for differences of extinction risk (ER), weighted endemism (WE), and weighted endemism including global endangerment (WEGE) between species of different clusters. Cells with p-values ≤ 0.05 are colored green when the cluster in the row shows significantly lower values of the analyzed index than the cluster in the column (which can be interpreted as lower vulnerability for the cluster in the row), and colored in red when the cluster in the row shows significantly higher values of the analyzed index than the cluster in the column (which can be interpreted as higher vulnerability for the cluster in the row) <br> <strong>Fig. S6</strong> Hotspot efficiency (EF), calculated as EF(i) = A(i)-B(i), where A = number of species in hotspot (i)/number of species in cluster (i), and B= log10 [number of cells of hotspot (i)]/log10 [number of cells of cluster (i)]. The EF values range between -1 and 1, where hotspots with higher species representativeness and smaller size tend towards 1 (higher effectiveness), and hotspots with lower species representativeness and larger size tend towards -1 (lower effectiveness). Legends H1-H9 denote different hotspots <br> <strong>Table S1 </strong>Endemic species of Argentina analyzed in our study, with their families, clusters where they were included, the IUCN categories used, and the values for the ER (extinction risk), WE (weighted endemism), and WEGE (weighted endemism including global endangerment) indices <br> <strong>ESM1.txt</strong> Occurrence data corresponding to 1583 endemic plants of Argentina used in the analyses <br> <strong>ESM2.zip</strong> Raster files with binary distribution maps (absence-presence) corresponding to the 1583 endemic plants of Argentina used in the analyses <br> <strong>ESM3.zip</strong> Raster files with representative distribution (RD) of each cluster (total member species registered in each 2.5 min cell divided by the total number of member species of the cluster) <br> <strong>ESM4.zip</strong> Shapefiles corresponding to delimited hotspots <br> <strong>ESM5.xlsx</strong> Excel file including species composition for each hotspot