Diverse relationships between forest growth and the Normalized Difference Vegetation Index at a global scale

Abstract This study compared the densest available database of tree-ring growth with the longest Normalized Difference Vegetation Index (NDVI) information available at the global scale to quantify the relationship between annual forest growth and the NDVI across different forest types and regions and to characterize the patterns of response of forest growth to NDVI values at different temporal scales. We found a general positive relationship between the inter-annual NDVI variability and the annual tree growth in most of the analyzed forests. Nevertheless, there were strong differences in the tree growth responses to NDVI, given that the annual tree-ring records in each forest responded in a different way to the magnitude, seasonality and accumulation period of the NDVI values. Thus, we found eight main patterns of tree-ring response to the NDVI, which were related to the forest type and climate conditions of each corresponding site. The identified patterns may be useful for determining early-warning signals of changes in forest growth over large areas based on remote sensing information.

[1]  Patrick Gross,et al.  Ten years of fluxes and stand growth in a young beech forest at Hesse, North-eastern France , 2008, Annals of Forest Science.

[2]  Dali Guo,et al.  Rapid warming accelerates tree growth decline in semi‐arid forests of Inner Asia , 2013, Global change biology.

[3]  J. Cihlar,et al.  Relation between the normalized difference vegetation index and ecological variables , 1991 .

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

[5]  M. Stokes,et al.  An Introduction to Tree-Ring Dating , 1996 .

[6]  M. Huston,et al.  The global distribution of net primary production: resolving the paradox , 2009 .

[7]  Ranga B. Myneni,et al.  Recent trends in Inner Asian forest dynamics to temperature and precipitation indicate high sensitivity to climate change , 2012 .

[8]  N. McDowell,et al.  A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests , 2010 .

[9]  R. López‐Lozano,et al.  An increase in canopy cover leads to masting in Quercusilex , 2010, Trees.

[10]  R. Barry,et al.  Synoptic and dynamic climatology , 1980 .

[11]  Andrew D Richardson,et al.  Seasonal dynamics and age of stemwood nonstructural carbohydrates in temperate forest trees. , 2013, The New phytologist.

[12]  F. Bongers,et al.  Estimating carbon stock in secondary forests: Decisions and uncertainties associated with allometric biomass models , 2011 .

[13]  David Frank,et al.  Toward consistent measurements of carbon accumulation: A multi-site assessment of biomass and basal area increment across Europe , 2014 .

[14]  Logan T. Berner,et al.  A latitudinal gradient in tree growth response to climate warming in the Siberian taiga , 2011 .

[15]  W. Kustas,et al.  A verification of the 'triangle' method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation Index (NDVI) and surface e , 1997 .

[16]  David L. Peterson,et al.  MOUNTAIN HEMLOCK GROWTH RESPONDS TO CLIMATIC VARIABILITY AT ANNUAL AND DECADAL TIME SCALES , 2001 .

[17]  C. Bettigole,et al.  Mapping tree density at a global scale , 2015, Nature.

[18]  Hsing-Fun Hsu,et al.  Model for perianth formation in orchids , 2015, Nature Plants.

[19]  E. Cook,et al.  Methods of Dendrochronology - Applications in the Environmental Sciences , 1991 .

[20]  R. Birdsey,et al.  National-Scale Biomass Estimators for United States Tree Species , 2003, Forest Science.

[21]  C. Körner,et al.  Recent decline in precipitation and tree growth in the eastern Mediterranean , 2007 .

[22]  Ranga B. Myneni,et al.  The effect of growing season and summer greenness on northern forests , 2004 .

[23]  Serge Rambal,et al.  Growth duration is a better predictor of stem increment than carbon supply in a Mediterranean oak forest: implications for assessing forest productivity under climate change. , 2015, The New phytologist.

[24]  Matthias Dobbertin,et al.  Tree growth as indicator of tree vitality and of tree reaction to environmental stress: a review , 2005, European Journal of Forest Research.

[25]  Philippe Ciais,et al.  Site‐ and species‐specific responses of forest growth to climate across the European continent , 2013 .

[26]  J. Randerson,et al.  Interannual variation in global‐scale net primary production: Testing model estimates , 1997 .

[27]  S. Los,et al.  Correlation between maximum latewood density of annual tree rings and NDVI based estimates of forest productivity , 2000 .

[28]  A. Sugimoto,et al.  Temporal photosynthetic carbon isotope signatures revealed in a tree ring through 13CO2 pulse‐labelling , 2005 .

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

[30]  Philip R. Larson,et al.  The Vascular Cambium: Development and Structure , 1994 .

[31]  H. Mäkinen,et al.  Seasonal changes in stem radius and production of new tracheids in Norway spruce. , 2003, Tree physiology.

[32]  E. Schulze,et al.  Inter-annual and seasonal variability of radial growth, wood density and carbon isotope ratios in tree rings of beech (Fagus sylvatica) growing in Germany and Italy , 2006, Trees.

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

[34]  S. Vicente‐Serrano,et al.  Impacts of drought at different time scales on forest growth across a wide climatic gradient in north-eastern Spain , 2011 .

[35]  Marc Macias-Fauria,et al.  Eurasian Arctic greening reveals teleconnections and the potential for structurally novel ecosystems , 2012 .

[36]  J. Piñol,et al.  Drought-induced mortality and hydraulic architecture in pine populations of the NE Iberian Peninsula , 2002 .

[37]  E. Nikinmaa,et al.  Above-ground woody carbon sequestration measured from tree rings is coherent with net ecosystem productivity at five eddy-covariance sites. , 2014, The New phytologist.

[38]  Southwestern U.S. tree‐ring carbon isotope indices as a possible proxy for reconstruction of greenness of vegetation , 2008 .

[39]  S. Vicente‐Serrano,et al.  Evapotranspiration deficit controls net primary production and growth of silver fir: Implications for Circum-Mediterranean forests under forecasted warmer and drier conditions , 2015 .

[40]  H. Schmid,et al.  Multi-year convergence of biometric and meteorological estimates of forest carbon storage , 2008 .

[41]  T. A. Black,et al.  Comparison of carbon dioxide fluxes over three boreal black spruce forests in Canada , 2007 .

[42]  J. Hair Multivariate data analysis , 1972 .

[43]  A. Deslauriers,et al.  Predicting xylem phenology in black spruce under climate warming , 2011 .

[44]  F. Baret,et al.  Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .

[45]  Christian Körner,et al.  A re-assessment of high elevation treeline positions and their explanation , 1998, Oecologia.

[46]  Ranga B. Myneni,et al.  Identifying Climatic Controls on Ring Width: The Timing of Correlations between Tree Rings and NDVI , 2008 .

[47]  M. Richman,et al.  Rotation of principal components , 1986 .

[48]  M. Hughes,et al.  The importance of early summer temperature and date of snow melt for tree growth in the Siberian Subarctic , 2002, Trees.

[49]  David Frank,et al.  Tree-ring indicators of German summer drought over the last millennium , 2010 .

[50]  S. Trumbore,et al.  Thirst beats hunger - declining hydration during drought prevents carbon starvation in Norway spruce saplings. , 2013, The New phytologist.

[51]  J. A. Schell,et al.  Monitoring vegetation systems in the great plains with ERTS , 1973 .

[52]  Douglas Stow,et al.  Assessing the relationship between spectral vegetation indices and shrub cover in the Jornada Basin, New Mexico , 1993 .

[53]  Miikka Dal Maso,et al.  Long-term measurements of surface fluxes above a Scots pine forest in Hyytiälä, southern Finland, 1996-2001 , 2003 .

[54]  Bruce P. Finney,et al.  Reduced growth of Alaskan white spruce in the twentieth century from temperature-induced drought stress , 2000, Nature.

[55]  Steven W. Running,et al.  Reconciling satellite with ground data to estimate forest productivity at national scales , 2012 .

[56]  M. Fournier,et al.  Life strategies in intra-annual dynamics of wood formation: example of three conifer species in a temperate forest in north-east France. , 2012, Tree physiology.

[57]  T. Carlson,et al.  On the relation between NDVI, fractional vegetation cover, and leaf area index , 1997 .

[58]  S. Goward,et al.  Evaluating North American net primary productivity with satellite observations , 1987 .

[59]  C. J. Huberty,et al.  Applied Discriminant Analysis , 1994 .

[60]  R. Gillies A verification of the 'triangle' method for obtaining surface water content and energy fluxes from remote measurements of Normalized Difference Vegetation Index (NDVI) and surface radiant temperature , 1997 .

[61]  Osvaldo E. Sala,et al.  Hierarchy of responses to resource pulses in arid and semi-arid ecosystems , 2004, Oecologia.

[62]  N. Coops Improvement in Predicting Stand Growth of Pinus radiafa (D. Don) across Landscapes Using NOAA AVHRR and Landsat MSS Imagery Combined with a Forest Growth Process Model (3-PGS) , 1999 .

[63]  S. Goetz,et al.  Large-Scale Patterns of Forest Succession as Determined by Remote Sensing , 1991 .

[64]  Hongyan Liu,et al.  Assessing the recent grassland greening trend in a long-term context based on tree-ring analysis: A case study in North China , 2009 .

[65]  D. Lu The potential and challenge of remote sensing‐based biomass estimation , 2006 .

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

[67]  Q. Ketterings,et al.  Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests , 2001 .

[68]  R. Seager,et al.  Temperature as a potent driver of regional forest drought stress and tree mortality , 2013 .

[69]  Cyrille B K Rathgeber,et al.  Woody biomass production lags stem-girth increase by over one month in coniferous forests , 2015, Nature Plants.

[70]  Jonas Fridman,et al.  Amount, structure, and dynamics of dead wood on managed forestland in Sweden , 2000 .

[71]  Scott J. Goetz,et al.  A large-scale coherent signal of canopy status in maximum latewood density of tree rings at arctic treeline in North America , 2013 .

[72]  G. Takao,et al.  The operational role of remote sensing in forest and landscape management: Focus group discussion proceedings , 2010 .

[73]  Conghe Song,et al.  Monitoring forest succession with multitemporal Landsat images: factors of uncertainty , 2003, IEEE Trans. Geosci. Remote. Sens..

[74]  Harold C. Fritts,et al.  The International Tree-Ring Data Bank: an enhanced global database serving the global scientific community , 1997 .

[75]  R. Myneni,et al.  The interpretation of spectral vegetation indexes , 1995 .

[76]  S. Vicente‐Serrano Evaluating the Impact of Drought Using Remote Sensing in a Mediterranean, Semi-arid Region , 2007 .

[77]  C. Tucker,et al.  Satellite remote sensing of primary production , 1986 .

[78]  Markus Reichstein,et al.  Biosphere-atmosphere exchange of CO2 in relation to climate: a cross-biome analysis across multiple time scales , 2009 .

[79]  M. Luis,et al.  Seasonal Dynamics of Wood Formation in Pinus Halepensis from Dry and Semi-Arid Ecosystems in Spain , 2007 .

[80]  N. Buchmann,et al.  Link between continuous stem radius changes and net ecosystem productivity of a subalpine Norway spruce forest in the Swiss Alps. , 2010, The New phytologist.

[81]  Jacques Tardif,et al.  SPATIOTEMPORAL VARIABILITY IN TREE GROWTH IN THE CENTRAL PYRENEES: CLIMATIC AND SITE INFLUENCES , 2003 .

[82]  Samuel Adelabu,et al.  Remote sensing of aboveground forest biomass : A review , 2015 .

[83]  Ana Russo,et al.  Land degradation trend assessment over Iberia during 1982-2012 , 2016, CIG 2016.

[84]  Scott J. Goetz,et al.  Satellite observations of high northern latitude vegetation productivity changes between 1982 and 2008: ecological variability and regional differences , 2011 .

[85]  M. K. Hughes,et al.  Influence of snowfall and melt timing on tree growth in subarctic Eurasia , 1999, Nature.

[86]  S. Goetz,et al.  Plant response to climate change along the forest‐tundra ecotone in northeastern Siberia , 2013, Global change biology.

[87]  Ranga B. Myneni,et al.  Analysis and optimization of the MODIS leaf area index algorithm retrievals over broadleaf forests , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[88]  Tommaso Anfodillo,et al.  Conifers in cold environments synchronize maximum growth rate of tree-ring formation with day length. , 2006, The New phytologist.

[89]  B. Wylie,et al.  Satellite mapping of surface biophysical parameters at the biome scale over the North American grasslands a case study , 2002 .

[90]  Christof Bigler,et al.  Drought as an Inciting Mortality Factor in Scots Pine Stands of the Valais, Switzerland , 2006, Ecosystems.

[91]  Heinrich Spiecker,et al.  Determination of forest growth trends in Komi Republic (northwestern Russia) : combination of tree-ring analysis and remote sensing data , 2006 .

[92]  R. Sánchez‐Salguero,et al.  Forests synchronize their growth in contrasting Eurasian regions in response to climate warming , 2016, Proceedings of the National Academy of Sciences.

[93]  Garik Gutman,et al.  Vegetation indices from AVHRR: An update and future prospects , 1991 .

[94]  H. Fritts,et al.  Tree Rings and Climate. , 1978 .

[95]  G. Asrar,et al.  Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 , 1984 .

[96]  P. Jones,et al.  Updated high‐resolution grids of monthly climatic observations – the CRU TS3.10 Dataset , 2014 .

[97]  C. Peng,et al.  Changes in Forest Biomass Carbon Storage in China Between 1949 and 1998 , 2001, Science.

[98]  M. Scheffer,et al.  Global Resilience of Tropical Forest and Savanna to Critical Transitions , 2011, Science.

[99]  B. Pedersen,et al.  THE ROLE OF STRESS IN THE MORTALITY OF MIDWESTERN OAKS AS INDICATED BY GROWTH PRIOR TO DEATH , 1998 .

[100]  A. Lloyd,et al.  Spatial and Temporal Variability in the Growth and Climate Response of Treeline Trees in Alaska , 2002 .

[101]  Kevin T. Smith,et al.  Climate dependency of tree growth suppressed by acid deposition effects on soils in northwest Russia. , 2005, Environmental science & technology.

[102]  Christopher J. Still,et al.  Forest responses to increasing aridity and warmth in the southwestern United States , 2010, Proceedings of the National Academy of Sciences.

[103]  Magí Franquesa,et al.  Timing of Drought Triggers Distinct Growth Responses in Holm Oak: Implications to Predict Warming-Induced Forest Defoliation and Growth Decline , 2015 .