Spatial and Temporal Variability in the Onset of the Growing Season on Svalbard, Arctic Norway - Measured by MODIS-NDVI Satellite Data

The Arctic is among the regions with the most rapid changes in climate and has the expected highest increase in temperature. Changes in the timing of phenological phases, such as onset of the growing season observed from remote sensing, are among the most sensitive bio-indicators of climate change. The study area here is the High Arctic archipelago of Svalbard, located between 76°30ʹ and 80°50ʹN. The goal of this study was to use MODIS Terra data (the MOD09Q1 and MOD09A1 surface reflectance products, both with 8-day temporal composites) to map the onset of the growing season on Svalbard for the 2000–2013 period interpreted from field observations. Due to a short and intense period with greening-up and frequent cloud cover, all the cloud free data is needed, which requires reliable cloud masks. We used a combination of three cloud removing methods (State QA values, own algorithms, and manual removal). This worked well, but is time-consuming as it requires manual interpretation of cloud cover. The onset of the growing season was then mapped by a NDVI threshold method, which showed high correlation (r2 = 0.60, n = 25, p < 0.001) with field observations of flowering of Salix polaris (polar willow). However, large bias was found between NDVI-based mapped onset and field observations in bryophyte-dominated areas, which indicates that the results in these parts must be interpreted with care. On average for the 14-year period, the onset of the growing season occurs after July 1st in 68.4% of the vegetated areas of Svalbard. The mapping revealed large variability between years. The years 2000 and 2008 were extreme in terms of late onset of the growing season, and 2002 and 2013 had early onset. Overall, no clear trend in onset of the growing season for the 2000–2013 period was found.

[1]  Corinne Le Quéré,et al.  Climate Change 2013: The Physical Science Basis , 2013 .

[2]  Peter M. Atkinson,et al.  Remotely sensed trends in the phenology of northern high latitude terrestrial vegetation, controlling for land cover change and vegetation type , 2014 .

[3]  S. Rumpf,et al.  Idiosyncratic Responses of High Arctic Plants to Changing Snow Regimes , 2014, PloS one.

[4]  W. Brackel,et al.  Checklist of Lichenicolous Fungi and Lichenicolous Lichens of Svalbard, Including New Species, New Records and Revisions , 2013 .

[5]  Assaf Anyamba,et al.  Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011 , 2013, Remote. Sens..

[6]  Stein Rune Karlsen,et al.  Trends in the Start of the Growing Season in Fennoscandia 1982-2011 , 2013, Remote. Sens..

[7]  Compton J. Tucker,et al.  Recent Declines in Warming and Vegetation Greening Trends over Pan-Arctic Tundra , 2013, Remote. Sens..

[8]  T. Høye,et al.  Shorter flowering seasons and declining abundance of flower visitors in a warmer Arctic , 2013 .

[9]  T. Høye,et al.  Long-term trends mask variation in the direction and magnitude of short-term phenological shifts. , 2013, American journal of botany.

[10]  B. Elberling,et al.  Snow cover and extreme winter warming events control flower abundance of some, but not all species in high arctic Svalbard , 2013, Ecology and evolution.

[11]  Ranga B. Myneni,et al.  Temperature and vegetation seasonality diminishment over northern lands , 2013 .

[12]  R. Benestad,et al.  Temperature and Precipitation Development at Svalbard 1900-2100 , 2011 .

[13]  Stein Rune Karlsen,et al.  Vegetation mapping of Svalbard utilising Landsat TM/ETM+ data , 2011, Polar Record.

[14]  Stein Rune Karlsen,et al.  Plant phenological variation related to temperature in Norway during the period 1928–1977 , 2011, International journal of biometeorology.

[15]  S. Dullinger,et al.  Late snowmelt delays plant development and results in lower reproductive success in the High Arctic. , 2011, Plant science : an international journal of experimental plant biology.

[16]  Howard E. Epstein,et al.  Recent changes in phenology over the northern high latitudes detected from multi-satellite data , 2011 .

[17]  P. Ciais,et al.  Influence of spring and autumn phenological transitions on forest ecosystem productivity , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[18]  C. Tucker,et al.  Circumpolar Arctic Tundra Vegetation Change Is Linked to Sea Ice Decline , 2010 .

[19]  G. Henebry,et al.  A land surface phenology assessment of the northern polar regions using MODIS reflectance time series , 2010 .

[20]  Anne Tolvanen,et al.  New satellite-based maps of the growing season north of 50°N , 2010, International Symposium on Digital Earth.

[21]  Geoffrey M. Henebry,et al.  Spatio-Temporal Statistical Methods for Modelling Land Surface Phenology , 2010 .

[22]  A. Elvebakk,et al.  The lichen flora of Svalbard , 2009 .

[23]  M. Schaepman,et al.  Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982–2006 , 2009 .

[24]  Anne Tolvanen,et al.  Growing-season trends in Fennoscandia 1982–2006, determined from satellite and phenology data , 2009 .

[25]  J. Abatzoglou,et al.  Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century. , 2009 .

[26]  Stein Rune Karlsen,et al.  A satellite-based map of onset of birch (Betula) flowering in Norway , 2009 .

[27]  Anne Tolvanen,et al.  MODIS-NDVI-based mapping of the length of the growing season in northern Fennoscandia , 2008, Int. J. Appl. Earth Obs. Geoinformation.

[28]  P. Ciais,et al.  Net carbon dioxide losses of northern ecosystems in response to autumn warming , 2008, Nature.

[29]  H. Mooney,et al.  Shifting plant phenology in response to global change. , 2007, Trends in ecology & evolution.

[30]  Toke T. Høye,et al.  Rapid advancement of spring in the High Arctic , 2007, Current Biology.

[31]  Stein Rune Karlsen,et al.  Variability of the start of the growing season in Fennoscandia, 1982–2002 , 2007, International journal of biometeorology.

[32]  S. Solomon The Physical Science Basis : Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[33]  H. L. Miller,et al.  Climate Change 2007: The Physical Science Basis , 2007 .

[34]  B. Csathó,et al.  Spectral Characteristics of Greenland Lichens , 2006 .

[35]  Stein Rune Karlsen,et al.  Satellite‐based mapping of the growing season and bioclimatic zones in Fennoscandia , 2006 .

[36]  Arve Elvebakk,et al.  A vegetation map of Svalbard on the scale 1:3.5 mill. , 2005 .

[37]  Per Jönsson,et al.  TIMESAT - a program for analyzing time-series of satellite sensor data , 2004, Comput. Geosci..

[38]  A. Strahler,et al.  Climate controls on vegetation phenological patterns in northern mid‐ and high latitudes inferred from MODIS data , 2004 .

[39]  Per Jönsson,et al.  Seasonality extraction by function fitting to time-series of satellite sensor data , 2002, IEEE Trans. Geosci. Remote. Sens..

[40]  O. Hoegh‐Guldberg,et al.  Ecological responses to recent climate change , 2002, Nature.

[41]  C. Bay Floristical and ecological characterization of the polar desert zone of Greenland , 1997 .

[42]  C. Tucker,et al.  Increased plant growth in the northern high latitudes from 1981 to 1991 , 1997, Nature.

[43]  A. Elvebakk,et al.  A catalogue of Svalbard plants, fungi, algae and cyanobacteria. Part 2. Bryophytes , 1996 .

[44]  Arve Elvebakk,et al.  A survey of plant associations and alliances from Svalbard , 1994 .

[45]  E. Dubiel Ecological observations on vascular plants in the NW Sorkapp Land (Spitsbergen) , 1991 .