Appendix Spatial patterns of long-term vegetation greening and browning are consistent across multiple scales: Implications for monitoring land degradation
Centre for Ecological Sciences, Indian Institute of Science, Bangalore 560012, Karnataka, India Correspondence: Sumanta Bagchi, Centre for Ecological Sciences, Indian Institute of Science, Bangalore 560012, India. Tel: +91 80 22933528; Fax: +91 80 23601428; E-mail: [email protected]
Contents: Table S1: Summary of ANOVA for seasonal differences in greening/browning Table S2: Summary of ANOVA for variation in greening/browning with environmental variables Fig. S1: Illustrative simulation of effect of spatial autocorrelation across scale Fig. S2: Summary of review of literature (meta-analysis) on long-term NDVI studies Fig. S3: Map of study area in the Tans-Himalaya Fig. S4: Precipitation and temperature trends in the Trans-Himalaya Fig. S5: Map of study area showing vegetated regions Fig. S6: Illustration of annual trend in NDVI for representative pixels at two different scales Fig. S7: Illustration of analytical protocol and statistical analysis of intra- and inter-annual trend in NDVI Fig. S8-S15: Maps showing greening/browning trends for different datasets Fig. S16: Examples of change in livestock population in the study area Supplementary References (used in Fig. S2).
ANOVA table for variation in Sen-slope (trend) across different dates
(Julian day) for six NDVI datasets. Satellite & Resolution Effect MODIS 250m intercept MODIS 500m MODIS 1Km SPOT 1Km MODIS 5.5Km GIMMS 8Km
day intercept day intercept day intercept day intercept day intercept day
F-value F1,196916 = 19032