Acta Univ. Agric. Silvic. Mendelianae Brun. 2016, 64(2), 549-556 | DOI: 10.11118/actaun201664020549

Evaluation of Indirect Measurement Method of Seasonal Patterns of Leaf Area Index in a High-Density Short Rotation Coppice Culture of Poplar

Abhishek M. Tripathi1,2,3, Milan Fischer1,4, Matěj Orság1,2, Michal V. Marek1, Zdeněk ®alud1,2, Mirek Trnka1,2
1 Global Change Research Center AS CR, v.v.i., Bělidla 4a, 603 00 Brno, Czech Republic
2 Institute of Agriculture Systems and Bioclimatology, Faculty of AgriSciences, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic
3 Institute of Forest Ecology, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic
4 Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695, USA

Leaf area index (LAI) is an important determinant of biomass production and yield of short rotation bio-energy plantation. An accurate measurement of LAI is critical for quantifying light interception and penetration within the canopy, and subsequently understanding its influence on the stand carbon and energy balance. The aim of the current study is validation of the Sunscan Plant Canopy Analyzer which serves as an indirect method for the evaluation of the seasonal patterns of LAI, relation between LAI and above ground woody dry biomass and to determine the specific leaf area in short-rotation poplar hybrid clone J-105 (Populus nigra × P. maximowiczii) in uncoppiced (1st rotation) and coppiced (2nd rotation), respectively. LAI was measured in uncoppiced and coppiced by two different methods using indirect (SunScan Plant Canopy Analyzer) and direct (litterfall collection). Sunscan Plant Canopy Analyzer was compared against litterfall collection (only way to retrieve the actual LAI). Simple regression (R2 = 0.82) model was fitted to validate indirect measurement method and a very good agreement (82%) was observed in LAI values estimated from SunScan Plant Canopy Analyzer and from litterfall collection. Seasonal variability of LAI in a short rotation coppice (SRC) culture of poplar clone J-105 was evaluated over six years period (2008-2013), for uncoppiced (2008 and 2009) and coppiced (2010, 2011, 2012 and 2013) culture. The maximum canopy LAI (LAImax) reached 7.3 (uncoppiced) and 9.5 (coppiced). The linear regression (R2 = 0.93) for average LAI and above ground woody dry biomass was determined, and it was found that LAI acts an indicator of biomass productivity. Specific leaf area (SLA) was estimated in both uncoppiced and coppiced culture of poplar. The maximum SLA was found to be 138.9 cm2g-1 in uncoppiced and 126.9 cm2g-1 in coppiced. To conclude, the evaluated indirect LAI measurement method is portable, reliable and faster than direct LAI measurement in high density poplar short-rotation coppice culture.

Keywords: SunScan Plant Canopy Analyzer, litterfall, specific leaf area, poplar clone J-105
Grants and funding:

This study has been carried out by the research projects PASED (KONTAKT II LH12037), AGRIWAT (LD13030), and Inter drought project (No. CZ.1.07/2.3.00/20.0248) and also part of the CzechGlobe Centre, which is being developed within OP RDI and co-financed by EU funds and the state budget of the Czech Republic (contract No. CZ.1.05/1.1.00/02.0073).

Prepublished online: May 4, 2016; Published: May 1, 2016  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Tripathi, A.M., Fischer, M., Orság, M., Marek, M.V., ®alud, Z., & Trnka, M. (2016). Evaluation of Indirect Measurement Method of Seasonal Patterns of Leaf Area Index in a High-Density Short Rotation Coppice Culture of Poplar. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 64(2), 549-556. doi: 10.11118/actaun201664020549
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open full article

    References

    1. BARIGAH, T. S., SAUGIER, B., MOUSSEAU, M., GUITTET, J. and CEULEMANS, R. 1994. Photosynthesis, leaf area and productivity of 5 poplar clones during their establishment year. Annals of Forest Science, 51: 613-625. DOI: 10.1051/forest:19940607 Go to original source...
    2. BEHERA, S. K., SRIVASTVA, P., PATHRE, U. V. and TULI, R. 2010. An indirect method of estimating leaf area index in Jatropha curcas L. using LAI- 2000 Plant Canopy Analyzer. Agricultural and Forest Meteorolog, 150: 307-311. DOI: 10.1016/j.agrformet.2009.11.009 Go to original source...
    3. BRADSHAW, J. D., RICE, M. E., and HILL, J. H. 2007. Digital analysis of leaf surface area: effects of shape, resolution, and size. Journal of the Kansas Entomological Society, 80(4): 339-347. DOI: 10.2317/0022-8567(2007)80[339:DAOLSA]2.0.CO;2 Go to original source...
    4. BRÉDA, N. J. J. 2003. Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. Journal of Experimental Botany, 54 (392): 3-17. DOI: 10.1093/jxb/erg263 Go to original source...
    5. BROECKX, L. S., VERLINDEN, M. S. and CEULEMANS, R. 2012. Establishment and two-year growth of a bio-energy plantation with fast-growing Populus trees in Flanders (Belgium): Effects of genotype and former land use. Biomass and bioenergy, 42: 151-163. DOI: 10.1016/j.biombioe.2012.03.005 Go to original source...
    6. BROECKX, L. S., VERLINDEN, M. S., VANGRONSVELD, J. and CEULEMANS, R. 2012 Importance of crown architecture for leaf area index of different Poplulus genotypes in a high-density plantation. Tree Physiology, 32: 1214-1226. DOI: 10.1093/treephys/tps083 Go to original source...
    7. BROECKX, L., VANBEVEREN, S., VERLINDEN, M. and CEULEMANS, R. 2015. First vs. second rotation of a poplar short rotation coppice: leaf area development, light interception and radiation use efficiency. iForest - Biogeosciences and Forestry, 801. Go to original source...
    8. BOURIAUD, O., SOUDANI, K. and BRÉDA, N. 2003. Leaf area index from litter collection: impact of specific leaf area variability within a beech stand. Canadian Journal of Remote Sensing, 29(3): 371-380. DOI: 10.5589/m03-010 Go to original source...
    9. CANNELL, M. G. R., SHEPPARD, L. J. and MILNE, R. 1988. Light use effciency and woody biomass production of poplar and willow. Forestry, 61: 125-136. DOI: 10.1093/forestry/61.2.125 Go to original source...
    10. CEULEMANS, R. 1990. Genetic Variation in Functional and Structural Productivity Determinants in Poplar. Amsterdam: Thesis Publishers.
    11. CEULEMANS, R., MCDONALD, A. J. S. and PEREIRA, J. S. 1996. A comparison among eucalyptus, poplar and willow characteristics with particular reference to coppice, growth-modelling approach. Biomass and Bioenergy, 11: 215-231 DOI: 10.1016/0961-9534(96)00035-9 Go to original source...
    12. CHAUHAN, S. K., SHARMA, S. C., BERI, V., RITU, YADAV, S. and GUPTA, N. 2010. Yield and carbon sequestration potential of wheat (Triticum aestivum) and poplar (Populus deltoides) based agri-silvicultural system. Indian Journal of Agricultural Science, 80(2): 129-135.
    13. CHEN, J. M., BLACK, T. A. and ADAMS, R. S. 1991. Evaluation of hemispherical photography for determining plant area index and geometry of a forest stand. Agricultural and Forest Meteorology, 56: 129-143. DOI: 10.1016/0168-1923(91)90108-3 Go to original source...
    14. CHEN, J. M. and BLACK, T. A. 1992. Defining leaf area index for non-flat leaves. Plant Cell Environment, 15: 421-429. DOI: 10.1111/j.1365-3040.1992.tb00992.x Go to original source...
    15. CHIRORO, D., MILFORD, J. and MAKUVARO, V. 2006. An investigation on the utility of the SunScan ceptometer in estimating the leaf area index of a Sugarcane canopy. [Online]. Proceedings of the South African Sugar Technologists Association, 80: 143-147. Available at: http://www.cabdirect.org/abstracts/20063156251.html?freeview=true.
    16. CONFALONIERI, R., STROPPIANA, D., BOSCHETTI, M., GUSBERTI, D., BOCCHI, S. and ACUTIS, M. 2006. Analysis of rice sample size variability due to development stage, nitrogen fertilization, sowing technique and variety using the visual jackknife. Field Crops Research, 97: 135-141. DOI: 10.1016/j.fcr.2005.09.008 Go to original source...
    17. CUTINI, A., MATTEUCCI, G. and MUGNOZZA, G. S. 1998. Estimation of leaf area index with the Li-Cor LAI 2000 in deciduous forests. Forest Ecology and Management, 105: 55-65. DOI: 10.1016/S0378-1127(97)00269-7 Go to original source...
    18. GRANTZ, D. A., ZHANG, X. J., METHENEY, P. D. and GRIMES, D. W. 1993. Indirect measurement of leaf area index in Pima cotton (Gossypium barbadense L.) using a commercial gap inversion method. Agricultural and Forest Meteorology, 67: 1-12. DOI: 10.1016/0168-1923(93)90046-K Go to original source...
    19. FISCHER, M. 2012. Water balance of short rotation coppice. PhD thesis. Brno, Czech Republic: Mendel University in Brno.
    20. FISCHER, M., TRNKA, M., KUČERA, J., DECKMYN, G., ORSÁG, M., SEDLÁK, P., ®ALUD, Z. and CEULEMANS, R. 2013. Evapotranspiration of a high-density poplar stand in comparison with a reference grass cover in the Czech-Moravian highlands. Agricultural and Forest Meteorology, 181: 43-60. DOI: 10.1016/j.agrformet.2013.07.004 Go to original source...
    21. FU, Z., WANG, J., SONG, J., ZHOU, H., HUANG, H. and CHEN, B. 2009. Comparison of three indirect field measuring metods for forest canopy leaf area index estimation. Geoscience and Remote Sensing Symposium, IEEE International, IGARSS, 4: 1011-1014. Go to original source...
    22. GARDNER, S. D. L. and SHAO, B. Y. 2001. Increased leaf area expansion of hybrid poplar in elevated CO2. From controlled environments to open-top chambers and to FACE. Environmental Pollution, 115(3): 463-472. Go to original source...
    23. GLOZER, K. 2008. Protocol for leaf image analysis - Surface area. [Online]. Availble at: http://ucanr.edu/sites/fruittree/files/49325.pdf.
    24. HERBERT, T. J. 1987. Area projections of fish eye photographic lenses. Agricultural and Forest Meteorology, 39: 215-223. DOI: 10.1016/0168-1923(87)90039-6 Go to original source...
    25. JONCKHEERE, I., FLECK, S., NACKAERTS, K., MUYS, B., COPPIN, P., WEISS, M. and 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. DOI: 10.1016/j.agrformet.2003.08.027 Go to original source...
    26. JONCKHEERE, I., MUYS, B. and COPPIN, P. 2005. Allometry and evaluation of in situ optical lai determination in scots pine: a case study in belgium. Tree physiology, 25(6): 723-732. DOI: 10.1093/treephys/25.6.723 Go to original source...
    27. KURATA, M., SANCHEZ-AZOFEIFA, G. A., QUAN, W. and KAKUBARI, Y. 2005. Comprehensive evaluation of Leaf Area Index estimated by several methods-LAI-2000, SunScan, Fish eye, and littertrap. The 11th CERs International Symposium, Chiba University, Japan. [Online]. Availableat:http://www2.cr.chibau.jp/symp2005/documents/Postersession/originalfiles/p015_MidoriKurata_paper.doc.
    28. LAMBERT, R., PEETERS, A. and TOUSSAINT, B. 1999. LAI evolution of a perennial ryegrass crop estimated from the sum of temperatures in spring time. Agricultural and Forest Meteorology, 97(1): 1-8. DOI: 10.1016/S0168-1923(99)00059-3 Go to original source...
    29. LANG, A. R. G., MCMURTRIE, R. E. and BENSON, M. L. 1991. Validity of surface area indices of Pinus radiata estimated from transmittance of the sun's beam. Agricultural and Forest Meteorology, 57: 157-170. DOI: 10.1016/0168-1923(91)90084-4 Go to original source...
    30. LIBERLOO, M., DILLEN, S. Y., CALFPETERA, C., MARINARI, S., LUO, Z. B. ANGELIS, P. D. and CEULEMANS, R. 2004. Elevated CO2 concentration, fertilization and their interaction: growth stimulation in short-rotation poplar coppice EUROFACE. Tree Physiology, 25: 179-189. DOI: 10.1093/treephys/25.2.179 Go to original source...
    31. LIBERLOO, M., CALFAPIETRA, C., LUKAC, M., GODBOLD, D., LUOS, Z. B., POLLE, A., HOOSBEEK, M. R., KULL, O., MAREK, M., RAINES, C., RUBINO, M., TAYLOR, G., SCARASCIA-MUGNOZZA, G. and CEULEMANS, R. 2006. Woody bio-mass production during the second rotation of a bio-energy Populus plantation increases in a future high CO2 world. Global Change Biology, 12: 1094-1106. DOI: 10.1111/j.1365-2486.2006.01118.x Go to original source...
    32. LOVELL, J. L., JUPP, D. L. B., CULVENOR, D. S. and COOPS, N. C. 2003. Using airborne and ground-based ranging LIDAR to measure canopy structure in Australian forests. Canadian Journal of Remote Sensing, 29: 607-622. DOI: 10.5589/m03-026 Go to original source...
    33. MCSHANE, M. C., CARLILE, D. W. and HINDS, W. T. 1983. The effect of collector size on forest litter-fall collection and analysis. Canadian Journal of Forest and Resensing, 13: 1037-1042. DOI: 10.1139/x83-138 Go to original source...
    34. OGUNTUNDE, P. O., OLKUUNLE, O. J., FASINMIRIN, J. T. and ABIOLU, O. A. 2012. Performance of the sunscan canopy analysis system in estimating leaf area index of maize. Agricultural Engineering International: CIGR Journal, 14(3): 1-7.
    35. PEARCE, R. B., BROWN, R. H. and BLASER, R. E. 1965. Relationships between leaf area index, light interception and net photosynthesis in orchardgrass. Crop Science, 5: 553-556. DOI: 10.2135/cropsci1965.0011183X000500060021x Go to original source...
    36. PEPER, P. J. and MCPHERSON, E. G. 1998. Comparision of five metods for estimating leaf area index of open grown decidous trees. Journal of Arboriculture, 24(2): 98-111. Go to original source...
    37. PETZOLD, R., SCHWÄRZE, L. K. and FEGER, K. H. 2010. Transpiration of a hybrid poplar plantation in Saxony (Germany) in response to climate and soil condi tions. European Journal of Forest Research, 130: 695-706. DOI: 10.1007/s10342-010-0459-z Go to original source...
    38. POTTER, E., WOOD, J. and NICHOLL, C. 1996. SunScan canopy analysis system user manual SS1-UM-1.05. [Online]. Available at: http://www.dnw.boku.ac.at/fileadmin/data/H03000/H95000/H95100/pdf/sunscan_manual.pdf.
    39. RAE, A. M., ROBINSON, K. M., STREET, N. R. and TAYLOR, G. 2004. Morphological and physiological traits influencing biomass productivity in short-rotation coppice poplar. Canadian Journal of Forest Research, 34: 1488-1498. DOI: 10.1139/x04-033 Go to original source...
    40. RASBAND, W. S. 2008. ImageJ. [Online]. Available at: http://rsb.info.nih.gov/ij/.
    41. SCHWALBE, E. 2005. Geometric modelling and caliberation of fisheye lense camera systems. Proceedings of ISPRS 2005.
    42. SOLTANI, A. and GALESHI, S. 2002. Importance of rapid canopy closure for wheat production in a temperate sub-humid environment: Experimentation and simulation. Field Crops Research, 77(1): 17-30. DOI: 10.1016/S0378-4290(02)00045-X Go to original source...
    43. THARAKAN, P. J., VOLK, T. A., NOWAK, C. A., ABRAHAMSON, L. P. 2005 Morphological traits of 30 willow clones and their relationship to biomass production. Canadian Journal of Forest Research, 35: 421-431. DOI: 10.1139/x04-195 Go to original source...
    44. THARAKAN, P. J., VOLK, T. A., NOWAK, C. A. and OFEZU, G. J. 2008. Assessment of canopy structure, light interception, and light-use efficiency of first year regrowth of shrub willow (Salix sp.). Bioenergy Research, 1: 229-238. DOI: 10.1007/s12155-008-9023-9 Go to original source...
    45. THIMONIER, A., SEDIVY, I. and SCHLEPPI, P. 2010. Estimating leaf area index in different types of mature forest stands in Switzerland: a comparison of methods. European Journal of Forest Research, 129: 543-562. DOI: 10.1007/s10342-009-0353-8 Go to original source...
    46. VERLINDEN, M. S., BROECKX, L. S., VAN DEN BULCKE, J., VAN ACKER, J. and CEULEMANS, R. 2013. Comparative study of biomass determinants of 12 poplar (Populus) genotypes in a high-density short-rotation culture. Forest Ecology and Management, 307: 101-111. DOI: 10.1016/j.foreco.2013.06.062 Go to original source...
    47. VERLINDEN, M. S., BROECKX, L. S. and CEULEMANS, R. 2015. First vs. second rotation of a poplar short rotation coppice: Above-ground biomass productivity and shoot dynamics. Biomass and Bioenergy, 73: 174-185. DOI: 10.1016/j.biombioe.2014.12.012 Go to original source...
    48. WEISS, M., BARET, F., SMITH, G. J., JONCKHEERE, I. and COPPIN, P. 2004. Review of methods for in situ leaf area index (LAI) determination. Part II. Estimation of LAI, errors and sampling. Agricultural and Forest Meteorology, 121: 37-53. DOI: 10.1016/j.agrformet.2003.08.001 Go to original source...
    49. WELLES, J. M. and COHEN, S. 1996. Canopy structure measurement by gap fraction analysis using commercial instrumentation. Journal of Experimental Botany, 47(302): 1335-1342. DOI: 10.1093/jxb/47.9.1335 Go to original source...

    This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.


    Return to the content