LEAF AREA INDEX DERIVED FROM HEMISPHERICAL PHOTOGRAPH AND ITS CORRELATION WITH ABOVEGROUND FOREST BIOMASS

Author

Tyas Mutiara Basuki

Abstract

Leaf  area index (LAI) is one of  the key physical factors in the energy exchange between terrestrial ecosystem and atmosphere. It determines the photosynthesis process to produce biomass and plays an important role in performing forest stand reflectance. Therefore building relationship between LAI and biomass from field measurements can be used to develop allometric equations for biomass estimation. This paper studies the relationship between diameter at breast height (DBH) and leaves biomass, DBH and crown biomass (sum up of  leaves,  twigs and branches) as well as between LAI and leaves biomass; LAI and crown biomass; LAI and Total Above-ground Biomass (TAGB) in East Kalimantan Province. Destructive sampling was conducted to develop allometric equations. The DBH measurements from 52 sample plots were used as training data for model development (35 plots) and for validation (17 plots). A hemispherical photograph was used to record LAI. The result shows that strong corelation (r) exists between natural logarithmic (ln) DBH and crown biomass ranging from 0.88 to 0.98. The correlation (r) between LAI and biomass of  leaves; leaves + twigs + branches; TAGB were 0.742, 0.768 and 0.772, respectively.  Improvement of  (r) between LAI and biomass can be conducted by proper time of  LAI measurement, when the sky is uniformly overcast.

Keywords

LAI; biomass; hemispherical photograph; allometric equation; East Kalimantan

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References

Aragăo, L.E.O.C., Shimabukuro, Y.E., Santo, F.D.B.E., & Williams, M. (2005). Landscape pattern and spatial variability of leaf area index in Eastern Amazonia. Forest Ecology and Management, 211, 240–256.

Basuki, T.M., Skidmore, A.K., Hussin, Y.A., & van Duren, I. (2013). Estimating tropical forest biomass more accurately by integrating ALOS PALSAR and Landsat-7 ETM+ data. International Journal of Remote Sensing, 34(13), 4871 – 4888.

Basuki, T.M., Skidmore, A.K., van Laake, P.E., van Duren, I., & Hussin, Y.A. (2012). The potential of spectral mixture analysis to improve the estimation accuracy of tropical forest biomass. Geocarto International, 27(4), 329 – 345.

Basuki, T.M., van Laake, P.E., Skidmore, A.K., & Hussin, Y.A. (2009). Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests. Forest Ecology and Management, 257, 1684–1694.

Beckschäfer, P., Fehrmann, L., Harrison, R. D., Xu, J., & Kleinn, C. (2014). Mapping Leaf Area Index in subtropical upland ecosystems using RapidEye imagery and the random forest algorithm. iForest, 7, 1–11. Retrieved from http://www.sisef.it/iforest/contents/?id=ifor0968

Caldararu, S., Palmer, P.I., & Purves, D.W. (2012). Inferring Amazon leaf demography from satellite observations of leaf area index. Biogeosciences, 9, 1389–1405.

Chave, J., Andalo, A., Brown, S., Cairns, M.A., Chambers, J.Q., Eamus, D. & Yamakura, T. (2005). Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oceologia, 145, 87–99.

Cristiano, P.M., Madanes, N., Campanello, P.I., di Francescantonio, D., Rodríguez, S. A., Zhang, Y.J. & Goldstein, G. (2014). High NDVI and Potential Canopy Photosynthesis of South American Subtropical Forests despite Seasonal Changes in Leaf Area Index and Air Temperature. Forests, 5(2), 287–308.

Dietz, J., Hölscher, D., Leuschner, C., Malik, A., & Amir, M.A. (2006). Rainfall partitioning in relation to forest structure in differently managed montane forest stands in Central Sulawesi, Indonesia. Forest Ecology and Management, 237, 170–178.

Eisfelder, C., Klein, I., Niklaus, M., & Kuenzer, C. (2014). Net primary productivity in Kazakhstan, its spatio-temporal patterns and relation to meteorological variables. Journal of Arid Environments, 103, 17–30.

Frazer, G.W., Canham, C.D., & Lertzman, K.P. (1999). Gap Light Analyzer (GLA): Imaging software extract canopy structure and gap light transmission indices from true-colour fisheye photographs, users manual an program documentation. New York, USA: Simon Frases University, Burnaby, British Columbia and the Institute of Ecosystem Studies, Millbrook.

Gonsamo, A., & Pellikka, P. (2008). Methodology comparison for slope correction in canopy leaf area index estimation using hemispherical photography. Forest Ecology and Management, 256, 749–759.

Gower, S.T., Kucharik, C.J., & Norman, J.M. (1999). Direct and indirect estimation of leaf area index, fAPAR, and net primary production of terrestrial ecosystems. Remote Sensing Environment, 70, 29–51.

Hale, S.E., & Edwards, C. (2002). Comparison of film and digital hemispherical photography across a wide range of canopy densities. Agricultural and Forest Meteorology, 112, 51–56.

Hanssen, K.H., & Solberg, S. (2007). Assessment of defoliation during a pine sawfly outbreak: Calibration of airborne laser scanning data with hemispherical photograph. Forest Ecology and Management, 250, 9–16.

Jonckheere, I., Fleck, S., Nackaerts, K., Muys, B., Coppin, P., Weiss, M., & Baret, F. (2004). Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography. Agricultural and Forest Meteorology, 121, 19–35.

Kalacska, M.E.R., S’anchez-Azofeifa, G.A., Calvo-Alvarado, J.C., Rivard, B., & Quesda, M. (2005). Effects of season and successional stage on leaf area index and spectral vegetation indices in three Mesoamerican Tropical Dry Forests. Biotropica, 37(4), 486–496.

Khosravi, S., Namiranian, M., Ghazanfariz, H., & Shirvani, A. (2012). Estimation of leaf area index and assessment of its allometric equations in oak forests: Northern Zagros, Iran. Journal of Forest Science, 58(3), 116 –122.

Kucharick, C. J., Norman, J. M., & Gower, S. T. (1998). Measurements of branch area and adjusting leaf area index indirect measurements. Agricultural and Forest Meteorology, 91, 69–88.

Morsdorf, F., Kötz, B., Meier, E., Itten, K.I., & Allgöwer, B. (2006). Estimation of LAI and fractional cover from small footprint airborne laser scanning data based on gap fraction. Remote Sensing of Environment, 104, 50–61.

Olivas, P.C., Oberbauer, S.F., Clark, D.B., Ryan, M.G., O’Brien, J.J., & Ordoñez, H. (2013). Comparison of direct and indirect methods for assessing leaf area index across a tropical rain forest landscape. Agricultural and Forest Meteorology, 177, 110 – 116.

Ollinger, S.V. (2011). Sources of variability in canopy reflectance and the convergent properties of plants. New Phytologist, 189, 375–394.

Pu, R., Yu, Q., Gong, P., & Biging, G. S. (2005). EO-1 Hyperion, ALI and Landsat 7 ETM+ data comaparison for estimating forest crown closure and leaf area index. International Journal of Remote Sensing, 26(3), 457–474.

Riaño, D., Valladares, F., Condés, S., & Chuvieco, E. (2004). Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests. Agricultural and Forest Meteorology, 124, 269–275.

Rosenqvist, A., Milne, A., Lucas, R., Imhoff, M., & Dobson, C. (2003). A review of remote sensing technology in support of the Kyoto Protocol. Environmental Science & Policy, 6, 441–455.

Samanta, A., Knyazikhin, Y., Xu, L., Dickinson, R. E., Fu, R., Costa, M. H., … Myneni, R. B. (2012). Seasonal changes in leaf area of Amazon forests from leaf flushing and abscission. Journal of Geophysical Research, 117, 1–13.

Sea, W.B., Cholerb, P., Beringerc, J., Weinmannd, R.A., Hutleyd, L.B., & Leuninga, R. (2011). Documenting improvement in leaf area index estimates from MODIS using hemispherical photos for Australian savannas. Agricultural and Forest Meteorology, 151, 1453– 1461.

Silbernagel, J., & Moeur, M. (2001). Modeling canopy openness and understorey gap patters based on image analysis and mapped tree data. Forest Ecology and Management, 149, 217–233.

Spracklen, D.V., Arnold, S.R., & Taylor, C.M. (2012). Observations of increased tropical rainfall preceded by air passage over forests. Nature, 489, 282 –286.

Thimonier, A., Sedivy, I., & Schleppi, P. (2010). Estimating leaf area index in different types of mature forest stands in Switzerland: a comparison of methods. European Journal of Forest Resources, 129, 543–562. doi:10.1007/s10342-009-0353-8

Wahyuningrum, N. (2005). Foliage biomass estimation in tropical logged over forest East Kalimantan, Indonesia (Master Thesis) (p. 54). Enschede: ITC.

Wang, H., Hall, C.A.S., Scatena, F.N., Fetcher, N., & Wu, W. (2003). Modelling the spatial and temporal variability in climate and primary productivity across the Luquillo Mountains, Puerto Rico. Forest Ecology and Management, 179, 69–94.

Zhang, Y., Chen, J.M., & Miller, J.R. (2005). Determining digital hemispherical photograph exposure for leaf area index estimation. Agricultural and Forest Meteorology, 133, 166–181.

Zhao, F., Strahler, A.H., Schaaf, C.L., Yao, T., Yang, X., Wang, Z., Newnham, G. J. (2012). Measuring gap fraction, element clumping index and LAI in Sierra Forest stands using a full-waveform ground-based lidar. Remote Sensing of Environment, 125, 73–79.

DOI: http://dx.doi.org/10.20886/ijfr.2015.2.1.31-41

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