Strong contribution of autumn phenology to changes in satellite‐derived growing season length estimates across Europe (1982–2011)

Land Surface Phenology (LSP) is the most direct representation of intra‐annual dynamics of vegetated land surfaces as observed from satellite imagery. LSP plays a key role in characterizing land‐surface fluxes, and is central to accurately parameterizing terrestrial biosphere–atmosphere interactions, as well as climate models. In this article, we present an evaluation of Pan‐European LSP and its changes over the past 30 years, using the longest continuous record of Normalized Difference Vegetation Index (NDVI) available to date in combination with a landscape‐based aggregation scheme. We used indicators of Start‐Of‐Season, End‐Of‐Season and Growing Season Length (SOS, EOS and GSL, respectively) for the period 1982–2011 to test for temporal trends in activity of terrestrial vegetation and their spatial distribution. We aggregated pixels into ecologically representative spatial units using the European Landscape Classification (LANMAP) and assessed the relative contribution of spring and autumn phenology. GSL increased significantly by 18–24 days decade−1 over 18–30% of the land area of Europe, depending on methodology. This trend varied extensively within and between climatic zones and landscape classes. The areas of greatest growing‐season lengthening were the Continental and Boreal zones, with hotspots concentrated in southern Fennoscandia, Western Russia and pockets of continental Europe. For the Atlantic and Steppic zones, we found an average shortening of the growing season with hotspots in Western France, the Po valley, and around the Caspian Sea. In many zones, changes in the NDVI‐derived end‐of‐season contributed more to the GSL trend than changes in spring green‐up, resulting in asymmetric trends. This underlines the importance of investigating senescence and its underlying processes more closely as a driver of LSP and global change.

[1]  Andreas Marx,et al.  4.2 Forests and forestry , 2012 .

[2]  Chang-Hoi Ho,et al.  Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982–2008 , 2011 .

[3]  Jürgen Symanzik,et al.  On the use of the advanced very high resolution radiometer for development of prognostic land surface phenology models , 2007 .

[4]  José A. Sobrino,et al.  Changes in land surface temperatures and NDVI values over Europe between 1982 and 1999 , 2006 .

[5]  Bruce C. Forbes,et al.  Shifts in Arctic phenology in response to climate and anthropogenic factors as detected from multiple satellite time series , 2013 .

[6]  Deriving phenological indicators from SPOT-VGT data using the HANTS algorithm , 2005 .

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

[8]  Jesslyn F. Brown,et al.  Measuring phenological variability from satellite imagery , 1994 .

[9]  J. Peñuelas,et al.  European phenological response to climate change matches the warming pattern , 2006 .

[10]  C. A. Mücher,et al.  What multiscale environmental drivers can best be discriminated from a habitat index derived from a remotely sensed vegetation time series? , 2013, Landscape Ecology.

[11]  Michael A. Malcolm,et al.  Computer methods for mathematical computations , 1977 .

[12]  S. Bruin,et al.  Analysis of monotonic greening and browning trends from global NDVI time-series , 2011 .

[13]  D. Lobell,et al.  Climate Trends and Global Crop Production Since 1980 , 2011, Science.

[14]  P. Ciais,et al.  Carbon accumulation in European forests , 2008 .

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

[16]  P. Atkinson,et al.  Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology , 2012 .

[17]  Annette Menzel,et al.  Growing season extended in Europe , 1999, Nature.

[18]  Jianjun Zhao,et al.  The Variation of Land Surface Phenology From 1982 to 2006 Along the Appalachian Trail , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[19]  E. Lambin,et al.  The emergence of land change science for global environmental change and sustainability , 2007, Proceedings of the National Academy of Sciences.

[20]  N. Ramankutty,et al.  Green surprise? How terrestrial ecosystems could affect earth’s climate , 2003 .

[21]  W. Landman.  Climate change 2007: the physical science basis , 2010 .

[22]  F. Chapin,et al.  A safe operating space for humanity , 2009, Nature.

[23]  Y. Xue,et al.  Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis , 2012 .

[24]  Geoffrey M. Henebry,et al.  Land surface phenology and temperature variation in the International Geosphere–Biosphere Program high‐latitude transects , 2005 .

[25]  R. Leemans,et al.  Projected environmental shifts under climate change: European trends and regional impacts , 2008, Environmental Conservation.

[26]  José A. Sobrino,et al.  Global land surface phenology trends from GIMMS database , 2009 .

[27]  EK VIV,et al.  A parameterization of leaf phenology for the terrestrial ecosystem component of climate models , 2004 .

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

[29]  S. Goetz,et al.  Satellite-observed photosynthetic trends across boreal North America associated with climate and fire disturbance. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[30]  Compton J. Tucker,et al.  A Non-Stationary 1981-2012 AVHRR NDVI3g Time Series , 2014, Remote. Sens..

[31]  W. Verhoef,et al.  Reconstructing cloudfree NDVI composites using Fourier analysis of time series , 2000 .

[32]  J. Evans,et al.  Discrimination between climate and human-induced dryland degradation. , 2004 .

[33]  Caspar A. Mücher,et al.  A climatic stratification of the environment of Europe , 2005 .

[34]  Caspar A. Mücher,et al.  A new European Landscape Classification (LANMAP): A transparent, flexible and user-oriented methodology to distinguish landscapes , 2010 .

[35]  W. Keeton,et al.  Forest cover change and illegal logging in the Ukrainian Carpathians in the transition period from 1988 to 2007 , 2009 .

[36]  A. Strahler,et al.  Monitoring vegetation phenology using MODIS , 2003 .

[37]  Mauro Marchetti,et al.  Environmental changes in the central Po Plain (northern Italy) due to fluvial modifications and anthropogenic activities , 2002 .

[38]  C. Tucker,et al.  Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999 , 2001 .

[39]  José A. Sobrino,et al.  NOAA-AVHRR Orbital Drift Correction From Solar Zenithal Angle Data , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[40]  Steven W. Running,et al.  A Measurable Planetary Boundary for the Biosphere , 2012, Science.

[41]  M. Menenti,et al.  Assessment of climate impact on vegetation dynamics by using remote sensing , 2003 .

[42]  C. A. Mücher,et al.  European environmental stratifications and typologies: an overview , 2011 .

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

[44]  N. Pettorelli,et al.  Essential Biodiversity Variables , 2013, Science.

[45]  Reinhard Furrer,et al.  Spatial relationship between climatologies and changes in global vegetation activity , 2013, Global change biology.

[46]  N. Pettorelli,et al.  Using the satellite-derived NDVI to assess ecological responses to environmental change. , 2005, Trends in ecology & evolution.

[47]  C. Justice,et al.  A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part II: The Generation of Global Fields of Terrestrial Biophysical Parameters from Satellite Data , 1996 .

[48]  R. Ahas,et al.  Changes in European spring phenology , 2002 .

[49]  A. Menzel,et al.  Trends in phenological phases in Europe between 1951 and 1996 , 2000, International journal of biometeorology.

[50]  Robert G. Bailey,et al.  Ecoregions : the ecosystem geography of the oceans and continents : with 106 illustraions, with 55 in color , 1998 .

[51]  C. Tucker,et al.  Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999 , 2003, Science.

[52]  C. Tucker.  Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[53]  Andrew D Richardson,et al.  Near-surface remote sensing of spatial and temporal variation in canopy phenology. , 2009, Ecological applications : a publication of the Ecological Society of America.

[54]  J. Schaber,et al.  Responses of spring phenology to climate change , 2004 .

[55]  J. Meeus.  Pan-European landscapes , 1995 .

[56]  O. Sonnentag,et al.  Climate change, phenology, and phenological control of vegetation feedbacks to the climate system , 2013 .

[57]  J. A. Schell,et al.  Monitoring the Vernal Advancement and Retrogradation (Green Wave Effect) of Natural Vegetation. [Great Plains Corridor] , 1973 .

[58]  R. Stöckli,et al.  European plant phenology and climate as seen in a 20-year AVHRR land-surface parameter dataset , 2004 .

[59]  Clement Atzberger,et al.  Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series , 2013, Remote. Sens..

[60]  B. Holben.  Characteristics of maximum-value composite images from temporal AVHRR data , 1986 .

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

[62]  Dirk Pflugmacher,et al.  Remote Sensing How Normalized Difference Vegetation Index (ndvi) Trends from Advanced Very High Resolution Radiometer (avhrr) and Système Probatoire D'observation De La Terre Vegetation (spot Vgt) Time Series Differ in Agricultural Areas: an Inner Mongolian Case Study , 2012 .

[63]  Edwin W. Pak,et al.  An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data , 2005 .

[64]  Maosheng Zhao,et al.  A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production , 2004 .

[65]  E. A. Kort,et al.  Enhanced Seasonal Exchange of CO2 by Northern Ecosystems Since 1960 , 2013, Science.

[66]  Bradley C. Reed,et al.  Remote Sensing Phenology , 2009 .

[67]  M. Rounsevell,et al.  The vulnerability of ecosystem services to land use change , 2006 .

[68]  Jan Verbesselt,et al.  Trends in Spring Phenology of Western European Deciduous Forests , 2013, Remote Sensing.