Relating MODIS vegetation index time-series with structure, light absorption and stem production of fast-growing Eucalyptus plantations

Abstract By allowing the estimation of forest structural and biophysical characteristics at different temporal and spatial scales, remote sensing may contribute to our understanding and monitoring of planted forests. Here, we studied 9-year time-series of the Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectroradiometer (MODIS) on a network of 16 stands in fast-growing Eucalyptus plantations in Sao Paulo State, Brazil. We aimed to examine the relationships between NDVI time-series spanning entire rotations and stand structural characteristics (volume, dominant height, mean annual increment) in these simple forest ecosystems. Our second objective was to examine spatial and temporal variations of light use efficiency for wood production, by comparing time-series of Absorbed Photosynthetically Active Radiation (APAR) with inventory data. Relationships were calibrated between the NDVI and the fractions of intercepted diffuse and direct radiation, using hemispherical photographs taken on the studied stands at two seasons. APAR was calculated from the NDVI time-series using these relationships. Stem volume and dominant height were strongly correlated with summed NDVI values between planting date and inventory date. Stand productivity was correlated with mean NDVI values. APAR during the first 2 years of growth was variable between stands and was well correlated with stem wood production (r2 = 0.78). In contrast, APAR during the following years was less variable and not significantly correlated with stem biomass increments. Production of wood per unit of absorbed light varied with stand age and with site index. In our study, a better site index was accompanied both by increased APAR during the first 2 years of growth and by higher light use efficiency for stem wood production during the whole rotation. Implications for simple process-based modelling are discussed.

[1]  J. Hunt,et al.  Relationship between woody biomass and PAR conversion efficiency for estimating net primary production from NDVI , 1994 .

[2]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[3]  D. Whitehead,et al.  Physiological regulation of productivity and water use in Eucalyptus: a review , 2004 .

[4]  K. Soudani,et al.  Modeling annual production and carbon fluxes of a large managed temperate forest using forest inventories, satellite data and field measurements. , 2005, Tree physiology.

[5]  R. Fensholt,et al.  Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements , 2004 .

[6]  Margaret C. Anderson Stand Structure and Light Penetration. II. A Theoretical Analysis , 1966 .

[7]  R. Dubayah,et al.  Above-ground biomass estimation in closed canopy Neotropical forests using lidar remote sensing: factors affecting the generality of relationships , 2003 .

[8]  Craig Macfarlane,et al.  Photographic exposure affects indirect estimation of leaf area in plantations of Eucalyptus globulus Labill. , 2000 .

[9]  S. Goetz,et al.  Satellite remote sensing of primary production : an improved production efficiency modeling approach , 1999 .

[10]  C. Daughtry,et al.  Spectral estimates of absorbed radiation and phytomass production in corn and soybean canopies , 1992 .

[11]  Mats Nilsson,et al.  Simultaneous use of Landsat-TM and IRS-1C WiFS data in estimating large area tree stem volume and aboveground biomass , 2002 .

[12]  Michael G. Ryan,et al.  Production and carbon allocation in a clonal Eucalyptus plantation with water and nutrient manipulations , 2008 .

[13]  Nicholas C. Coops,et al.  The use of multiscale remote sensing imagery to derive regional estimates of forest growth capacity using 3-PGS , 2001 .

[14]  Agnès Bégué,et al.  Modeling hemispherical and directional radiative fluxes in regular-clumped canopies , 1992 .

[15]  T. Nilson A theoretical analysis of the frequency of gaps in plant stands , 1971 .

[16]  J. Chen,et al.  Measuring leaf area index of plant canopies with branch architecture , 1991 .

[17]  C. Justice,et al.  Atmospheric correction of MODIS data in the visible to middle infrared: first results , 2002 .

[18]  Craig Macfarlane,et al.  Estimating forest leaf area using cover and fullframe fisheye photography: Thinking inside the circle , 2007 .

[19]  K. Mccree THE ACTION SPECTRUM, ABSORPTANCE AND QUANTUM YIELD OF PHOTOSYNTHESIS IN CROP PLANTS , 1971 .

[20]  Jw Wilson Estimation of foliage denseness and foliage angle by inclined point quadrats , 1963 .

[21]  J. Norman,et al.  Instrument for Indirect Measurement of Canopy Architecture , 1991 .

[22]  Peter Sands,et al.  Understanding 3-PG using a sensitivity analysis , 2004 .

[23]  S. Running,et al.  Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data , 2002 .

[24]  Erwin Ulrich,et al.  Evaluation of the onset of green-up in temperate deciduous broadleaf forests derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data , 2008 .

[25]  N. Goel,et al.  Simple Beta Distribution Representation of Leaf Orientation in Vegetation Canopies1 , 1984 .

[26]  A. Huete,et al.  Dependence of NDVI and SAVI on sun/sensor geometry and its effect on fAPAR relationships in Alfalfa , 1995 .

[27]  Gérard Dedieu,et al.  Estimation of leaf area and clumping indexes of crops with hemispherical photographs , 2008 .

[28]  W. Cohen,et al.  Geographic variability in lidar predictions of forest stand structure in the Pacific Northwest , 2005 .

[29]  M. Battaglia,et al.  A comparison of four process-based models and a statistical regression model to predict growth of Eucalyptus globulus plantations , 2009 .

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

[31]  Auro C. Almeida,et al.  Growth and water balance of Eucalyptus grandis hybrid plantations in Brazil during a rotation for pulp production , 2007 .

[32]  Y. Nouvellon,et al.  Influence of nitrogen and potassium fertilization on leaf lifespan and allocation of above-ground growth in Eucalyptus plantations. , 2008, Tree physiology.

[33]  R. Waring,et al.  A generalised model of forest productivity using simplified concepts of radiation-use efficiency, carbon balance and partitioning , 1997 .

[34]  A. Beaudoin,et al.  A shadow fraction method for mapping biomass of northern boreal black spruce forests using QuickBird imagery , 2007 .

[35]  E. T. Kanemasu,et al.  Assessing the interception of photosynthetically active radiation in winter wheat , 1983 .

[36]  Diana M. Smith Maximum moisture content method for determining specific gravity of small wood samples , 1954 .

[37]  J. Lindström,et al.  Towards operational remote sensing of forest carbon balance across Northern Europe , 2007 .

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

[39]  J. Monteith SOLAR RADIATION AND PRODUCTIVITY IN TROPICAL ECOSYSTEMS , 1972 .

[40]  G. Mohren,et al.  Applicability of the radiation-use efficiency concept for simulating growth of forest stands , 1997 .

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

[42]  F. J. García-Haro,et al.  A generalized soil-adjusted vegetation index , 2002 .

[43]  Hui Qing Liu,et al.  An error and sensitivity analysis of the atmospheric- and soil-correcting variants of the NDVI for the MODIS-EOS , 1994, IEEE Trans. Geosci. Remote. Sens..

[44]  S. Goward,et al.  Global Primary Production: A Remote Sensing Approach , 1995 .

[45]  S. Goward,et al.  Vegetation canopy PAR absorptance and the normalized difference vegetation index - An assessment using the SAIL model , 1992 .

[46]  M. G. Ryan,et al.  Eucalyptus production and the supply, use and efficiency of use of water, light and nitrogen across a geographic gradient in Brazil , 2004 .

[47]  T. A. Black,et al.  A MODIS-derived photochemical reflectance index to detect inter-annual variations in the photosynthetic light-use efficiency of a boreal deciduous forest , 2005 .

[48]  John M. Norman,et al.  Characterization of radiation regimes in nonrandom forest canopies: theory, measurements, and a simplified modeling approach. , 1999, Tree physiology.

[49]  Laurent Saint-André,et al.  Age-related equations for above- and below-ground biomass of a Eucalyptus hybrid in Congo , 2005 .

[50]  A. Lang Estimation of leaf area index from transmission of direct sunlight in discontinuous canopies , 1986 .

[51]  Kevin P. Price,et al.  Relations between NDVI and tree productivity in the central Great Plains , 2004 .

[52]  C. Giardina,et al.  Primary production and carbon allocation in relation to nutrient supply in a tropical experimental forest , 2003 .

[53]  R. Harrington,et al.  Radiation Interception and Growth of Planted and Coppice Stands of Four Fast-Growing Tropical Trees , 1995 .

[54]  B. D. Toit,et al.  Effects of site management on growth, biomass partitioning and light use efficiency in a young stand of Eucalyptus grandis in South Africa , 2008 .

[55]  S. T. Gower,et al.  Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems , 1999 .

[56]  J. Clevers,et al.  The robustness of canopy gap fraction estimates from red and near-infrared reflectances: A comparison of approaches , 1995 .

[57]  P. Pinter Solar angle independence in the relationship between absorbed PAR and remotely sensed data for Alfalfa , 1993 .

[58]  J. Pulliainen,et al.  Radar-based forest biomass estimation , 1994 .

[59]  F. Baret,et al.  Influence of landscape spatial heterogeneity on the non-linear estimation of leaf area index from moderate spatial resolution remote sensing data , 2006 .

[60]  T. Booth,et al.  Calibration of the forest growth model 3-PG to eucalypt plantations growing in low rainfall regions of Australia , 2007 .

[61]  Fredrik Lagergren,et al.  Estimating net primary production for Scandinavian forests using data from Terra/MODIS , 2007 .

[62]  Nicholas C. Coops,et al.  Assessing forest productivity in Australia and New Zealand using a physiologically-based model driven with averaged monthly weather data and satellite-derived estimates of canopy photosynthetic capacity , 1998 .

[63]  Frédéric Baret,et al.  Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography , 2004 .

[64]  F. Baret,et al.  Review of methods for in situ leaf area index (LAI) determination: Part II. Estimation of LAI, errors and sampling , 2004 .

[65]  M. G. Ryan,et al.  Thinking about efficiency of resource use in forests , 2004 .

[66]  A. Bégué Leaf area index, intercepted photosynthetically active radiation, and spectral vegetation indices: A sensitivity analysis for regular-clumped canopies , 1993 .

[67]  Danny Lo Seen,et al.  PAR extinction in shortgrass ecosystems: effects of clumping, sky conditions and soil albedo , 2000 .

[68]  W. Cohen,et al.  Lidar remote sensing of above‐ground biomass in three biomes , 2002 .

[69]  Richard H. Waring,et al.  Remote Sensing of Leaf Area Index and Radiation Intercepted by Understory Vegetation , 1994 .

[70]  M. G. Ryan,et al.  Testing the utility of the 3-PG model for growth of Eucalyptus grandis×urophylla with natural and manipulated supplies of water and nutrients , 2004 .

[71]  J. Goudriaan,et al.  SEPARATING THE DIFFUSE AND DIRECT COMPONENT OF GLOBAL RADIATION AND ITS IMPLICATIONS FOR MODELING CANOPY PHOTOSYNTHESIS PART I. COMPONENTS OF INCOMING RADIATION , 1986 .

[72]  R. Myneni,et al.  On the relationship between FAPAR and NDVI , 1994 .

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

[74]  Elizabeth A. Walter-Shea,et al.  Relations between Directional SpectralVegetation Indices and Leaf Area andAbsorbed Radiation in Alfalfa , 1997 .

[75]  M. Bauer,et al.  Spectral estimators of absorbed photosynthetically active radiation in corn canopies. , 1985 .

[76]  S. Running,et al.  Forest ecosystem processes at the watershed scale: Sensitivity to remotely-sensed leaf area index estimates , 1993 .

[77]  A. Huete,et al.  Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .

[78]  A. Bondeau,et al.  Comparing global models of terrestrial net primary productivity (NPP): overview and key results , 1999 .

[79]  S. Goetz,et al.  Remote sensing of net primary production in boreal forest stands , 1996 .

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