title: Vegetation greening in the Canadian Arctic related to decadal warming.
abstract: This study is presented within the context that climate warming and sea-ice decline has been occurring throughout much of the Arctic over the past several decades, and that terrestrial ecosystems at high latitudes are sensitive to the resultant alterations in surface temperatures. Results are from analyzing interannual satellite records of vegetation greenness across a bioclimate gradient of the Canadian Arctic over the period of 1982-2006. Here, we combine multi-scale sub-pixel analysis and remote sensing time-series analysis to investigate recent decadal changes in vegetation greenness along spatial gradients of summer temperature and vegetation. Linear autoregression temporal analysis of vegetation greenness was performed with relatively "pure" vegetation pixels of Advanced Very High Resolution Radiometer (AVHRR) data, spanning Low Arctic, High Arctic and polar desert ecosystems. Vegetation greenness generally increased over tundra ecosystems in the past two decades. Peak annual greenness increased 0.49-0.79%/yr over the High Arctic where prostrate dwarf shrubs, forbs, mosses and lichens dominate and 0.46-0.67%/yr over the Low Arctic where erect dwarf shrubs and graminoids dominate. However, magnitudes of vegetation greenness differ with length of time series and periods considered, indicating a nonlinear response of terrestrial ecosystems to climate change. The decadal increases of greenness reflect increasing vegetation production during the peak of the growing season, and were likely driven by the recent warming.
authors.affiliation: RCE-TEA, Institute of Atmospheric Physics, CAS, PO Box 9804, Beijing, 100029, China. jiong@tea.ac.cn
authors.forename: Gensuo J
authors.initials: GJ
authors.lastname: Jia
authors.forename: Howard E
authors.initials: HE
authors.lastname: Epstein
authors.forename: Donald A
authors.initials: DA
authors.lastname: Walker
mesh_terms: D001110:Arctic Regions; D044822:Biodiversity; D002170:Canada; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D005843:Geography; D057232:Global Warming; D063245:Plant Development; D010944:Plants / Q000145:classification; D013995:Time