Radiation absorption and use by humid savanna grassland: assessment using remote sensing and modelling

Abstract The components of the canopy radiation balance in photosynthetically active radiation (PAR), phytomass and leaf area index (LAI) were measured during a complete annual cycle in an annually burned African humid savanna. Directional reflectances measured by a hand-held radiometer were used to compute the canopy normalized difference vegetation index (NDVI). The fraction fAPAR of PAR absorbed by the canopy (APAR) and canopy reflectances were simulated by the scattering from arbitrarily inclined leaves (SAIL) and the radiation interception in row intercropping (RIRI) models. The daily PAR to solar radiation ratio was linearly related to the daily fraction of diffuse solar radiation with an annual value around 0.47. The observed fAPAR was non-linearly related to NDVI. The SAIL model simulated reasonably well directional reflectances but noticeably overestimated fAPAR during most of the growing season. Comparison of simulations performed with the 1D and 3D versions of the RIRI model highlighted the weak influence of the heterogeneous structure of the canopy after fire and of the vertical distribution of dead and green leaves on total fAPAR. Daily fAPAR values simulated by the 3D-RIRI model were linearly related to and 9.8% higher than observed values. For sufficient soil water availability, the net production efficiency ϵn of the savanna grass canopy was 1.92 and 1.28 g DM MJ−1 APAR (where DM stands for dry matter) during early regrowth and mature stage, respectively. In conclusion, the linear relationship between NDVI and fAPAR used in most primary production models operating at large scales may slightly overestimate fAPAR by green leaves for the humid savanna biome. Moreover, the net production efficiency of humid savannas is close to or higher than values reported for the other major natural biomes.

[1]  H. Sinoquet,et al.  A theoretical analysis of radiation interception in a two-species plant canopy. , 1991, Mathematical biosciences.

[2]  M. Roberts,et al.  Primary productivity of grass ecosystems of the tropics and sub-tropics , 1993 .

[3]  H. Smith,et al.  Plants and the daylight spectrum. , 1981 .

[4]  D. Hall Carbon flows in the biosphere: present and future , 1989, Journal of the Geological Society.

[5]  Gérard Dedieu,et al.  Methodology for the estimation of terrestrial net primary production from remotely sensed data , 1994 .

[6]  M. Fuchs,et al.  Further discussions on the relationship between cumulated intercepted solar radiation and crop growth , 1994 .

[7]  Richard H. Waring,et al.  Environmental Limits on Net Primary Production and Light‐Use Efficiency Across the Oregon Transect , 1994 .

[8]  J. Monteith Climate and the efficiency of crop production in Britain , 1977 .

[9]  C. Green,et al.  Nitrogen nutrition and wheat growth in relation to absorbed solar radiation , 1987 .

[10]  R. Myneni,et al.  Operational relationships between NOAA‐advanced very high resolution radiometer vegetation indices and daily fraction of absorbed photosynthetically active radiation, established for Sahelian vegetation canopies , 1996 .

[11]  Agnès Bégué,et al.  Modelling vegetation primary production during HAPEX-Sahel using production efficiency and canopy conductance model formulations , 1997 .

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

[13]  Graham Russell,et al.  Plant Canopies: Their Growth, Form and Function: Contents , 1989 .

[14]  X. Roux,et al.  Leaf and canopy CO2 assimilation in a West African humid savanna during the early growing season , 1995, Journal of Tropical Ecology.

[15]  H. Lieth Modeling the Primary Productivity of the World , 1975 .

[16]  J. Monteith,et al.  Response of pearl millet to light and temperature , 1985 .

[17]  B. Choudhury,et al.  Spatial heterogeneity in vegetation canopies and remote sensing of absorbed photosynthetically active radiation: A modeling study , 1992 .

[18]  A. Bégué,et al.  Estimation of absorbed photosynthetically active radiation and vegetation net production efficiency using satellite data , 1995 .

[19]  C. J. Stigter,et al.  The Conservative Ratio of Photosynthetically Active to Total Radiation in the Tropics , 1982 .

[20]  P. Biscoe,et al.  Radiation absorption, growth and yield of cereals , 1978, The Journal of Agricultural Science.

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

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

[23]  J. Durand,et al.  Analyse de la conversion de l'énergie solaire en matière sèche par un peuplement de luzerne (Medicago sativa L.) soumis à un déficit hydrique , 1989 .

[24]  Ranga B. Myneni,et al.  Potential gross primary productivity of terrestrial vegetation from 1982 - 1990 , 1995 .

[25]  Gilles Lemaire,et al.  Production maximale de matière sèche et rayonnement solaire intercepté par un couvert végétal , 1986 .

[26]  Gérard Dedieu,et al.  Monitoring seasonal and interannual variations of gross primary productivity, net primary productivity and net ecosystem productivity using a diagnostic model and remotely‐sensed data , 1995 .

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

[28]  W. Verhoef Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model , 1984 .

[29]  J. L. Monteith,et al.  Validity of the correlation between intercepted radiation and biomass , 1994 .

[30]  E. Walter-Shea,et al.  Biophysical properties affecting vegetative canopy reflectance and absorbed photosynthetically active radiation at the FIFE site , 1992 .

[31]  G. Dedieu,et al.  Radiation exchanges above West African moist savannas: Seasonal patterns and comparison with a GCM simulation , 1994 .

[32]  Jerry L. Hatfield,et al.  Intercepted photosynthetically active radiation estimated by spectral reflectance , 1984 .

[33]  J. Pontailler A cheap quantum sensor using a gallium arsenide photodiode , 1990 .

[34]  P. Sellers Canopy reflectance, photosynthesis, and transpiration. II. the role of biophysics in the linearity of their interdependence , 1987 .

[35]  Frédéric Baret,et al.  Radiation use efficiency of pearl millet in the Sahelian zone , 1991 .

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

[37]  G. Russell,et al.  Plant Canopies: Their Growth, Form and Function: Absorption of radiation by canopies and stand growth , 1989 .

[38]  Bhaskar J. Choudhury,et al.  Relationships between vegetation indices, radiation absorption, and net photosynthesis evaluated by a sensitivity analysis , 1987 .

[39]  Richard L. Thompson,et al.  Inversion of vegetation canopy reflectance models for estimating agronomic variables. IV. Total inversion of the SAIL model , 1984 .

[40]  S. McNaughton,et al.  Modelling primary production of perennial graminoids 3$̄uniting physiological processes and morphometric traits , 1984 .

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

[42]  H. Odum,et al.  Primary Productivity of the Biosphere , 1978, Ecological Studies.

[43]  R. J. Thomas,et al.  Carbon storage by introduced deep-rooted grasses in the South American savannas , 1994, Nature.

[44]  J. Menaut,et al.  Structure and Primary Productivty of Lamto Savannas, Ivory Coast , 1979 .

[45]  S. Prince A model of regional primary production for use with coarse resolution satellite data , 1991 .

[46]  Hervé Sinoquet,et al.  Modeling radiative transfer in mixed and row intercropping systems , 1992 .

[47]  Ramakrishna R. Nemani,et al.  Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation , 1989 .

[48]  E. T. Kanemasu,et al.  A note of caution concerning the relationship between cumulated intercepted solar radiation and crop growth , 1992 .