Spectral measures and mixed models as valuable tools for investigating controls on land surface phenology in high arctic Greenland-3

• Main Authors: Tamstorf, Mikkel P, Illeris, Lotte, Hansen, Birger U, Wisz, Mary
• Format: Still Image
• Language: unknown
• Published: figshare 2011
• Subjects: Uncategorised; Arctic; Greenland; The ''Y''
• Online Access: https://dx.doi.org/10.6084/m9.figshare.67084.v1; https://figshare.com/articles/figure/Spectral_measures_and_mixed_models_as_valuable_tools_for_investigating_controls_on_land_surface_phenology_in_high_arctic_Greenland-3/67084/1

Copyright information: Taken from "Spectral measures and mixed models as valuable tools for investigating controls on land surface phenology in high arctic Greenland"http://www.biomedcentral.com/1472-6785/7/9BMC Ecology 2007;7():9-9.Published online 19 Sep 2007PMCID:PMC2164935.the GAMM model to calculate the additive contribution of each variable using non parametric smoothing methods. Thus, the y-axis can be interpretted as a transformation of DOYmax. Low values on the y-axis correlate with low DOYmax (early maximum), while high values correlate with higher DOYmax (later maximum). Dashed lines indicate twice standard errors. Each short bar on the x-axis indicates an observation. A: End of snow melt, B: summed air temperature during the green-up period, C: summed rain during the green-up period, D: summed air temperature during the previous growing season. Estimated degrees of freedom are shown by each Y-axis.