Skip to main content

Advertisement

Log in

Practical methods for non-destructive measurement of tree leaf area

  • Published:
Agroforestry Systems Aims and scope Submit manuscript

Abstract

In an agroforestry context, the knowledge of leaf area is an important parameter to take into consideration because tree foliage shades the intercrop. Single leaf measurement (for example leaf length and width) is a widely used method to estimate leaf area in a rapid non-destructive way. In this study, the objectives were to estimate the leaf area of different leaf sizes and shapes for Acacia mangium Willd. (Mimosaceae), Tectona grandis L. (Verbenaceae), Hevea brasiliensis Muell.-Arg. (Euphorbiaceae), and Swietenia macrophylla King. (Meliaceae) Indonesian agroforestry trees. In order to characterise leaf area in field conditions a digital photograph method was used. Leaf length was measured in order to build relationships between leaf length versus actual leaf area. Additional measurements obtained from the digital pictures such as lamina width, number of leaflets, leaflet length and width were recorded in order to test the benefit regarding leaf area estimation based only on the leaf length model. The combination of these different linear leaf measurements led to various degrees of precision of leaf area estimation. The different models can then be chosen according to a compromise between the accuracy of leaf area estimation and the time allocated to field measurements.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Bange MP, Hamer GL, Milroy SP, Ricket KG (2000) Improving estimates of individual leaf area of sunflower. Agronomy 92:761–765

    Article  Google Scholar 

  • Bhatt M, Chandra SV (2003) Prediction of leaf area in Phaseolus vulgaris by non-destructive method. Bulg J Plant Physiol 29:96–100

    Google Scholar 

  • Bianco S, Pitelli RA, Pitelli AMCM (2003) Estimativa da área foliar de Typha latifolia usando dimensões lineares do limbo foliar. Planta Daninha 21:257–261

    Article  Google Scholar 

  • Caldas LS, Bravo C, Piccolo H, Faria CRSM (1992) Measurement of leaf area with a hand-scanner linked to a microcomputer. R Bras Fisiol Veg 4:17–20

    Google Scholar 

  • Courbaud B, Coligny de F, Cordonnier T (2003) Simulating radiation distribution in heterogeneous Norway spruce forest on a slope. Agric For Meteor 116:1–18

    Article  Google Scholar 

  • Godin C, Costes E, Sinoquet H (1999) A method for describing plant architecture which integrates topology and geometry. Ann Bot 84:343–357

    Article  Google Scholar 

  • Granier C, Massonnet C, Turc O, Muller B, Chenu K, Tardieu F (2002) Individual leaf development in Arabidopsis thaliana: a stable thermal-time-based programme. Ann Bot 89:595–604

    Article  PubMed  Google Scholar 

  • Greer DH (2000) Photon flux density dependence of carbon acquisition and demand in relation to shoot growth of kiwifruit (Actinidia deliciosa) vines grown in controlled environments. Aust J Plant Physiol 28:111–120

    Google Scholar 

  • Kandiannan K, Kailasam C, Chandaragiri KK, Sankaran N (2002) Allometric model for leaf area estimation in black pepper (Piper nigrum L.). J Agr Crop Sci 188:138–140

    Article  Google Scholar 

  • Lim TM, Narayanan R (1975) Estimation of leaf area of rubber leaves (Hevea brasiliensis Muell Arg.) using two leaflet parameters. Exp Agri 8:311–314

    Article  Google Scholar 

  • Mayer DG, Butler DG (1993) Statistical validation. Ecol model 68:21–32

    Article  Google Scholar 

  • Montgomery EG (1911) Correlation studies in corn. Nebraska Agr Exp Sta Annu Rep 24:108–159

    Google Scholar 

  • Pinto ACR, Rodrigues TJD, Barbosa JC, Leite IC (2004) Leaf area prediction models for Zinnia elegans Jacq., Zinnia haageana Regel. and “profusion cherry”. Sci Agic 61:47–52

    Google Scholar 

  • Ross J (1981) The radiation regime and architecture of plant stands. Publishers DWJ, eds. The Hague-Boston-London, p 389

  • Ross J, Ross V, Koppel A (2000) Estimation of leaf area and its vertical distribution during growth period. Agric For Meteor 101:237–246

    Article  Google Scholar 

  • Seleznyova AN, Greer DH (2001) Effects of temperature and leaf position on leaf area expansion of Kiwifruit (Actinidia deliciosa) shoots: development of a modelling framework. Ann Bot 88:605–615

    Article  Google Scholar 

  • Serrano L, Gamon JA, Berry J (1997) Estimation of leaf area with an integrating sphere. Tree Physiol 17:571–576

    PubMed  Google Scholar 

  • Sinoquet H and Andrieu B (1993) The geometrical structure of plant canopies: characterization and direct measurement methods. In: Varlet-Grancher C, Bonhomme R, Sinoquet H (eds) Crop structure and light microclimate. INRA ed., pp 131–158

  • Stewart DW, Dwyer LM (1999) Mathematical characterisation of leaf shape and area in maize hybrids. Crop Sci 39:422–427

    Article  Google Scholar 

  • Tivet F, Silveira Pinheiro B, de Raïssac M, Dingkuhn M (2001) Leaf blade dimensions of rice (Oryza sativa L., Oryza glaberrima Steud.). Relationships between tillers and the main stem. Ann Bot 88:507–511

    Article  Google Scholar 

  • Westoby M, Wright IJ (2003) The leaf size—twig size spectrum and its relationship to other important spectra of variation among species. Oecologia 135:621–628

    PubMed  Google Scholar 

  • Wiersma JV, Bailey TB (1975) Estimation of leaflet, trifoliate, and total leaf areas of Soybeans. Agron J 67:26–30

    Article  Google Scholar 

  • Willaume M, Lauri PE, Sinoquet H (2004) Light interception in apple trees influenced by canopy architecture manipulation. Trees 18:705–713

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank Novi Sari Wahyuni for her help in fieldwork. This research was carried out as part of the SAFODS (Smallholder AgroForestry Options for Degraded Soils) collaborative research project, partly funded by the EU: contract number ICA4-CT-2001-10092. AMAP (Botany and Computational Plant Architecture) is a joint research unit which associates CIRAD (UMR51), CNRS (UMR5120), INRA (UMR931), IRD (R123), and Montpellier 2 University (UM27); http://amap.cirad.fr/. The support is gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniel Auclair.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Leroy, C., Saint-André, L. & Auclair, D. Practical methods for non-destructive measurement of tree leaf area. Agroforest Syst 71, 99–108 (2007). https://doi.org/10.1007/s10457-007-9077-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10457-007-9077-2

Keywords

Navigation