期刊文献+

Fractal analysis of canopy architectures of Acacia angustissima, Gliricidia sepium, and Leucaena collinsii for estimation of aboveground biomass in a short rotation forest in eastern Zambia

Fractal analysis of canopy architectures of Acacia angustissima, Gliricidia sepium, and Leucaena collinsii for estimation of aboveground biomass in a short rotation forest in eastern Zambia
下载PDF
导出
摘要 A study was conducted at Msekera Regional Agricultural Research Station in eastern Zambia to (1) describe canopy branching properties of Acacia angustissima, Gliricidia sepium and Leucaena collinsii in short rotation forests, (2) test the existence of self similarity from repeated iteration of a structural unit in tree canopies, (3) examined intra-specifie relationships between functional branching characteristics, and (4) determine whether allometric equations for relating aboveground tree biomass to fractal properties could accurately predict aboveground biomass. Measurements of basal diameter (Din0) at 10em aboveground and total height (H), and aboveground biomass of 27 trees were taken, but only nine trees representative of variability of the stand and the three species were processed for functional branching analyses (FBA) of the shoot systems. For each species, fractal properties of three trees, includ- ing fractal dimension (Dfract), bifurcation ratios (p) and proportionality ratios (q) of branching points were assessed. The slope of the linear re- gression ofp on proximal diameter was not significantly different (P 〈 0.01) from zero and hence the assumption that p is independent of scale, a pre-requisite for use of fraetal branching rules to describe a fraetal tree canopy, was fulfilled at branching orders with link diameters 〉1.5 cm. The proportionality ration q for branching patterns of all tree species was constant at all scales. The proportion of q values 〉0.9 (fq) was 0.8 for all species. Mean fraetal dimension (Df^ct) values (1.5-1.7) for all species showed that branching patterns had an increasing magnitude of intricacy. Since Dfraet values were 〉1.5, branching patterns within species were self similar. Basal diameter (D10), proximal diameter and Dfraet described most of variations in aboveground biomass, suggesting that allometric equa- tions for relating aboveground tree biomass to fractal properties could accurately predict aboveground biomass. Thus, assessed Acacia, Gliri- cidia and Leucaena trees were fractals and their branching propertiescould be used to describe variability in size and aboveground biomass. A study was conducted at Msekera Regional Agricultural Research Station in eastern Zambia to (1) describe canopy branching properties of Acacia angustissima, Gliricidia sepium and Leucaena collinsii in short rotation forests, (2) test the existence of self similarity from repeated iteration of a structural unit in tree canopies, (3) examined intra-specifie relationships between functional branching characteristics, and (4) determine whether allometric equations for relating aboveground tree biomass to fractal properties could accurately predict aboveground biomass. Measurements of basal diameter (Din0) at 10em aboveground and total height (H), and aboveground biomass of 27 trees were taken, but only nine trees representative of variability of the stand and the three species were processed for functional branching analyses (FBA) of the shoot systems. For each species, fractal properties of three trees, includ- ing fractal dimension (Dfract), bifurcation ratios (p) and proportionality ratios (q) of branching points were assessed. The slope of the linear re- gression ofp on proximal diameter was not significantly different (P 〈 0.01) from zero and hence the assumption that p is independent of scale, a pre-requisite for use of fraetal branching rules to describe a fraetal tree canopy, was fulfilled at branching orders with link diameters 〉1.5 cm. The proportionality ration q for branching patterns of all tree species was constant at all scales. The proportion of q values 〉0.9 (fq) was 0.8 for all species. Mean fraetal dimension (Df^ct) values (1.5-1.7) for all species showed that branching patterns had an increasing magnitude of intricacy. Since Dfraet values were 〉1.5, branching patterns within species were self similar. Basal diameter (D10), proximal diameter and Dfraet described most of variations in aboveground biomass, suggesting that allometric equa- tions for relating aboveground tree biomass to fractal properties could accurately predict aboveground biomass. Thus, assessed Acacia, Gliri- cidia and Leucaena trees were fractals and their branching propertiescould be used to describe variability in size and aboveground biomass.
机构地区 A Rocha International
出处 《Journal of Forestry Research》 CAS CSCD 2012年第1期1-12,共12页 林业研究(英文版)
基金 funded by the Gates Cambridge Trust at Cambridge University
关键词 aboveground biomass allometric equations bifurcation ratio fractal dimension fractal properties functional branching characteristics relative equity self similarity aboveground biomass allometric equations bifurcation ratio fractal dimension fractal properties functional branching characteristics relative equity self similarity
  • 相关文献

参考文献53

  • 1Allen AP, Pockman WT, Restrepo C, Milne BT. 2008. Allometry, growth and population regulation of the desert shrub Larrea tridentata. Functional Ecology, 22: 197-204.
  • 2Betram JEA. 1989. Size-dependent differential scaling in branches: the me-chanical design of trees revisited. Trees, 4: 241-253.
  • 3Berntson GM. 1996. Fractal geometry scaling and description of plant root. In: A. Eshel and U. Kafkafi (eds), The hidden half. New York: Marcel Dekker, pp. 259-272.
  • 4Brown S. 1997. Estimating biomass and biomass change of tropical forests: a primer. FAO Forestry Paper, 134, Rome Italy.
  • 5Brown IF, Martineri LA, Thomas WW, Moreira MZ, Ferreira CAC, Victoria RA. 1995. Uncertainty in biomass of Amazonian forests: an example from Rondonia, Brazil. Forest Ecology and Management, 75: 175-189.
  • 6Brown JH, Gillooly JH, Allen AP, Savage VM, West GB. 2004. Toward a metabolic theory of ecology. Ecology, 85: 1771-1789.
  • 7Brown TB, Witschey WRT, Liebovitch LS. 2005. The broken past: Fractals in archaeology. Journal of Archeological Method and Theory, 12(1): 37-78.
  • 8Camarero JJ, Siso S, Gil-Pelgrin E. 2003. Fractal dimension does not ade-quately describe the complexity of leaf margins of Quercus species. Real Jardin Botanico de Madrid, 60(1): 63-71.
  • 9Cannel MGR. 1983. Plant management in agroforestry: manipulation of trees, population densities and mixtures of trees and herbaceous crops. In: P.A. Huxley (ed), Plant Research and Agroforestry. Nairobi, Kenya: ICRAF,, pp. 455-488.
  • 10Claesson S, Sahlen K, Lundmark T. 2001. Functions for biomass estimation of young Pinus sylvestris, Picea abies and Betula spp. from stands in Northern Sweden with high stand densities. Scandinavian Journal of for-estry, 16: 138-146.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部