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Research | Open Access

Using a stand-level model to predict light absorption in stands with vertically and horizontally heterogeneous canopies

David I Forrester1( )Rubén Guisasola1Xiaolu Tang2Axel T Albrecht3Tran Lam Dong4,5Guerric le Maire6
Chair of Silviculture, Faculty of Environment and Natural Resources, Freiburg University, Tennenbacherstr. 4, Freiburg 79108, Germany
Chair of Forest Inventory and Remote Sensing, Georg-August-Universität Göttingen, Büsgenweg 5, Göttingen 37077, Germany
Forest Research Institute of Baden-Württemberg, Wonnhaldestr. 4, Freiburg 79100, Germany
Tasmanian Institute of Agriculture (TIA), Private Bag 98, Hobart, Tasmania 7001, Australia
Vietnamese Academy of Forest Sciences, Silviculture Research Institute, Duc Thang, Bac Tu Liem, Hanoi, Vietnam
CIRAD, UMR Eco&Sols, 2 Place Viala, Montpellier 34060, France
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Abstract

Background

Forest ecosystem functioning is strongly influenced by the absorption of photosynthetically active radiation (APAR), and therefore, accurate predictions of APAR are critical for many process-based forest growth models. The Lambert-Beer law can be applied to estimate APAR for simple homogeneous canopies composed of one layer, one species, and no canopy gaps. However, the vertical and horizontal structure of forest canopies is rarely homogeneous. Detailed tree-level models can account for this heterogeneity but these often have high input and computational demands and work on finer temporal and spatial resolutions than required by stand-level growth models. The aim of this study was to test a stand-level light absorption model that can estimate APAR by individual species in mixed-species and multi-layered stands with any degree of canopy openness including open-grown trees to closed canopies.

Methods

The stand-level model was compared with a detailed tree-level model that has already been tested in mixed-species stands using empirical data. Both models were parameterised for five different forests, including a wide range of species compositions, species proportions, stand densities, crown architectures and canopy structures.

Results

The stand-level model performed well in all stands except in the stand where extinction coefficients were unusually variable and it appears unlikely that APAR could be predicted in such stands using (tree- or stand-level) models that do not allow individuals of a given species to have different extinction coefficients, leaf-area density or analogous parameters.

Conclusion

This model is parameterised with species-specific information about extinction coefficients and mean crown length, diameter, height and leaf area. It could be used to examine light dynamics in complex canopies and in stand-level growth models.

References

 

Abraha MG, Savage MJ (2010) Validation of a three-dimensional solar radiation interception model for tree crops. Agr Forest Meteorol 139:636–652

 

Bartelink HH (1998) Radiation interception by forest trees: a simulation study on effects of stand density and foliage clustering on absorption and transmission. Ecol Model 105:213–225

 

Binkley D, Campoe OC, Gspaltl M, Forrester DI (2013) Light absorption and use efficiency in forests: Why patterns differ for trees and forests. For Ecol Manage 288:5–13, doi: 10.1016/j.foreco.2011.11.002

 

Brunner A (1998) A light model for spatially explicit forest stand models. For Ecol Manage 107:19–46

 

Bryars C, Maier C, Zhao D, Kane M, Borders B, Will R, Teskey R (2013) Fixed physiological parameters in the 3-PG model produced accurate estimates of loblolly pine growth on sites in different geographic regions. For Ecol Manage 289:501–514

 

Bugmann H (2001) A review of forest gap models. Clim Change 51:259–305

 

Canham C, Coates KD, Bartemucci P, Quaglia S (1999) Measurement and modeling of spatially explicit variation in light transmission through interior cedar-hemlock forests of British Columbia. Can J Forest Res 29:1775–1783

 
Charbonnier F, Gl M, Dreyer E, Casanoves F, Christina M, Dauzat J, Eitel JUH, Vaast P, Vierling LA, Roupsard O (2013) Competition for light in heterogeneous canopies: Application of MAESTRA to a coffee (Coffea arabica L.) agroforestry system. Agr Forest Meteorol 181: 152–169https://doi.org/10.1016/j.agrformet.2013.07.010
 
R Core Team (2013) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, http://www.R-project.org/
 

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

 
Dong TL (2014) Using Acacia as a Nurse Crop for Re-Establishing Native-Tree Species Plantation on Degraded Lands in Vietnam. PhD Thesis. School of Land and Food. University of Tasmania, Hobart, p 216
 

Duursma RA, Mäkelä A (2007) Summary models for light interception and lightuse efficiency of non-homogeneous canopies. Tree Physiol 27:859–870

 

Duursma RA, Marshall JD, Robinson AP (2003) Leaf area index inferred from solar beam transmission in mixed conifer forests on complex terrain. Agr Forest Meteorol 118:221–236

 

Forrester DI (2014) A stand-level light interception model for horizontally and vertically heterogeneous canopies. Ecol Model 276:14–22

 

Forrester DI, Albrecht AT (2014) Light absorption and light-use efficiency in mixtures of Abies alba and Picea abies along a productivity gradient. For Ecol Manage 328:94–102

 

Forrester DI, Collopy JJ, Beadle CL, Baker TG (2013) Effect of thinning, pruning and nitrogen fertiliser application on light interception and light-use efficiency in a young Eucalyptus nitens plantation. For Ecol Manage 288:21–30

 

Freese F (1960) Testing accuracy. For Sci 6(2):139–145

 

Gersonde R, Battles JJ, O'Hara KL (2004) Characterizing the light environment in Sierra Nevada mixed-conifer forests using a spatially explicit light model. Can J Forest Res 34:1332–1342

 

Grace JC, Jarvis PG, Norman JM (1987) Modelling the interception of solar radiant energy in intensively managed stands. New Zealand J For Sci 17:193–209

 
Guisasola R (2014) Allometric biomass equations and crown architecture in mixed-species forests of subtropical China. In: Masters Thesis. Chair of Silviculture.Albert-Ludwigs University of Freiburg, Freiburg, p 48
 

Janssen PHM, Heuberger PSC (1995) Calibration of process-oriented models. Ecol Model 83:55–66

 

le Maire G, Nouvellon Y, Christina M, Ponzoni FJ, Gonçalves JLM, Bouillet J-P, Laclau J-P (2013) Tree and stand light use efficiencies over a full rotation of single- and mixed-species Eucalyptus grandis and Acacia mangium plantations. For Ecol Manage 288:31–42

 

Ligot G, Balandier P, Courbaud B, Claessens H (2014a) Forest radiative transfer models: which approach for which application? Can J Forest Res 44:385–397

 

Ligot G, Balandier P, Courbaud B, Jonard M, Kneeshaw D, Claessens H (2014b) Managing understory light to maintain a mixture of species with different shade tolerance. For Ecol Manage 327:189–200

 
Medlyn BE (2004) A MAESTRO Retrospective. In: Mencuccini M, Moncrieff J, McNaughton K, Grace J (eds) Forests at the Land-Atmosphere Interface. CABI Publishing, Wallingford UK, pp 105–122, http://maespa.github.io/https://doi.org/10.1079/9780851996776.0105
 

Monsi M, Saeki T (1953) Über den Lichtfaktor in den Pflanzengesellschaften und seine Bedeutung für die Stoffproduktion. Jpn J Botany 14:22–52

 

Monsi M, Saeki T (2005) On the factor light in plant communities and its importance for matter production. Ann Bot 95:549–567

 
Norman JM (1979) Modeling the complete crop canopy. In: Barfield BJ, Gerber JF (eds) Modification of the Aerial Environment of Plants. American Society of Agricultural Engineers, Michigan, pp 249–277
 

Norman JM, Welles JM (1983) Radiative transfer in an array of canopies. Agro J 75:481–488

 

Oker-Blom P, Pukkala T, Kuuluvainen T (1989) Relationship between radiation interception and photosynthesis in forest canopies: effect of stand structure and latitude. Ecol Model 49:73–87

 

Parveaud C-E, Chopard JRM, Dauzat J, Courbaud BT, Auclair D (2008) Modelling foliage characteristics in 3D tree crowns: influence on light interception and leaf irradiance. Trees Struct Funct 22:87–104

 

Rimmington GM (1984) A model of the effect of interspecies competition for light on dry-matter production. Aust J Plant Phys 11:277–286

 

Sinoquet H, Bonhomme R (1991) A theoretical analysis of radiation interception in a two-species plant canopy. Mathematical Biosci 105:23–45

 

Sinoquet H, Rakocevic M, Varlet-Grancher C (2000) Comparison of models for daily light partitioning in multispecies canopies. Agr Forest Meteorol 101:251–263

 

Vanclay JK, Skovsgaard JP (1997) Evaluating forest growth models. Ecol Model 98:1–12

 

Wang YP, Jarvis PG (1990) Description and validation of an array model - MAESTRO. Agr Forest Meteorol 51:257–280

Forest Ecosystems
Article number: 17
Cite this article:
I Forrester D, Guisasola R, Tang X, et al. Using a stand-level model to predict light absorption in stands with vertically and horizontally heterogeneous canopies. Forest Ecosystems, 2014, 1(3): 17. https://doi.org/10.1186/s40663-014-0017-0

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Received: 13 March 2014
Accepted: 22 August 2014
Published: 27 September 2014
© 2014 Forrester et al.; licensee Springer.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

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