Allometric Modeling for Leaf Area and Leaf Biomass Estimation of Swietenia mahagoni in the North-eastern Region of Bangladesh
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Leaf area (A0) and leaf biomass (M0) estimation are significant prerequisites to studying tree physiological processes and modeling in the forest ecosystem. The objective of this study was to develop allometric models for estimating A0 and M0 of Swietenia mahagoni L. from different tree parameters such as DBH and tree height of mahogany plantations in the northeastern region of Bangladesh. A total of 850 healthy and well formed trees were selected randomly for sampling in the five study sites. Then, twenty two models were developed based on different statistical criteria that propose reliable and accurate models for estimating the A0 and M0 using non-destructive measurements. The results exposed that model iv and xv were selected on a single predictor of DBH and showed more statistically accuracy than other models. The selected models were also validated with an additional test data set on the basis of linear regression and t-test for mean difference between observed and predicted values. After that, a comparison between the best logarithmic and non-linear allometric model shows that the non-linear model produces systematic biases and underestimates A0 and M0 for larger trees. As a result, it showed that the bias-corrected logarithmic model iv and xv can be used to help quantify forest structure and functions, particularly valuable in future research for estimating A0 and M0 of S. mahagoni in this region.
Abstract
Leaf area (A0) and leaf biomass (M0) estimation are significant prerequisites to studying tree physiological processes and modeling in the forest ecosystem. The objective of this study was to develop allometric models for estimating A0 and M0 of Swietenia mahagoni L. from different tree parameters such as DBH and tree height of mahogany plantations in the northeastern region of Bangladesh. A total of 850 healthy and well formed trees were selected randomly for sampling in the five study sites. Then, twenty two models were developed based on different statistical criteria that propose reliable and accurate models for estimating the A0 and M0 using non-destructive measurements. The results exposed that model iv and xv were selected on a single predictor of DBH and showed more statistically accuracy than other models. The selected models were also validated with an additional test data set on the basis of linear regression and t-test for mean difference between observed and predicted values. After that, a comparison between the best logarithmic and non-linear allometric model shows that the non-linear model produces systematic biases and underestimates A0 and M0 for larger trees. As a result, it showed that the bias-corrected logarithmic model iv and xv can be used to help quantify forest structure and functions, particularly valuable in future research for estimating A0 and M0 of S. mahagoni in this region.
참고문헌 (35)
- Banglapedia, "National Encyclopedia of Bangladesh, vol. 2", pp.34~37 (2003), Asiatic Society of Bangladesh
- Burton AJ, "Leaf area and foliar biomass relationships in northern hardwood forests located along an 800 km acid deposition gradient", For Sci, 37, pp.1041~1059 (1991)
- Cairns MA, "Composition and above-ground tree biomass of a dry semi-evergreen forest on Mexico’s Yucatan Peninsula", For Ecol Manage, 186, pp.125~132 (2003)
- Calvo-Alvarado JC, "Allometric relationships predicting foliar biomass and leaf area : sapwood area ratio from tree height in five Costa Rican rain forest species", Tree Physiol, 28, pp.1601~1608 (2008)
- Chave J, "Tree allometry and improved estimation of carbon stocks and balance in tropical forests", Oecologia, 145, pp.87~99 (2005)
- Cornelissen JHC, "A handbook of protocols for standardized and easy measurement of plant functional traits worldwide", Aust J Bot, 51, pp.335~380 (2003)
- Das N, "Modeling develops to estimate leaf area and leaf biomass of Lagerstroemia speciosa in West Vanugach Reserve Forest of Bangladesh", ISRN Forestry, 2014, pp.486478~ (2014)
- Das DK, "Bangladesh Forest Research Institute" (2001), Chittagong
- Dobbs C, "Above ground biomass and leaf area models based on a nondestructive method for urban trees of two communes in Central Chile", Bosque, 32, pp.287~296 (2011)
- Fownes JH, "Allometry of woody biomass and leaf area in five tropical multipurpose trees", J Trop For Sci, 4, pp.317~330 (1992)
- Gajardo-Caviedes PA, "The influence of thinning and tree size on the sapwood area", leaf area ratio in coigue, 2005, pp.35, 1679~1685
- Grace KT, "Leaf area allometry and evaluation of non-destructive estimates of total leaf area and loss by browsing in a silvopastoral system", Agrofor Syst, 40, pp.139~147 (1998)
- Long JN, "Leaf area-sapwood area relations of lodge pole pine as influenced by stand density and site index", Can J For Res, 18, pp.247~250 (1988)
- Margolis H, "Ecophysiology of Coniferous Forests", pp.255~208 (1995), Academic Press
- Meier IC, "Leaf size and leaf area index in Fagus sylyatica forests : competing effects of precipitation, temperature and nitrogen availability", Ecosystems, 11, pp.655~669 (2008)
- Norman JM, "Plant physiological ecology: Field methods and instrumentation", pp.301~325 (1989), Chapman and Hall
- Paine TD, "Rating eucalyptus vigor and the risk of insect infestation : leaf surface area and sapwood : heartwood ratio", Can J For Res, 20, pp.1485~1489 (1990)
- Pereira AR, "Evapo(trans) piração", pp.183~ (1997), FEALQ
- Peter H, "Leaf area of beech (Fagus sylvatica L.) from different stands in eastern Austria studied by randomized branch sampling", Eur J For Res, 129, pp.401~408 (2010)
- R Development Core Team, "R: a language and environment for statistical computing" (2013), R Foundation for Statistical Computing
- Robinson AP, "Forest analytics with R: an introduction" (2011), Springer
- Sah JP, "Estimating above-ground biomass of broad leaved woody plants in the understory of Florida Keys pine forests", For Ecol Manage, 203, pp.319~329 (2004)
- Sarker SK, "Developing allometric equations for estimating leaf area and leaf biomass of Artocarpus chaplasha in Raghunandan Hill Reserve, Bangladesh", Southern Forests, 75, pp.51~57 (2013)
- Sarker SK, "A diagnosis of existing logging bans in Bangladesh", Int For Rev, 13, pp.461~475 (2011)
- Soerianegara I, "Plant resources of South-east Asia 5(1): timber trees: major commercial timbers" (1993), Pudoc Scientific Publishers
- Son Y, "Allometry and biomass of Korean pine (Pinus koraiensis) in central Korea", Bioresour Technol, 78, pp.251~255 (2001)
- Sprugel DG, "Correcting for bias in log-transformed allometric equations", Ecology, 64, pp.209~210 (1983)
- Tobin B, "Assessment of allometric algorithms for estimating leaf biomass, leaf area index and litter fall in different-aged Sitka spruce forests", Forestry, 79, pp.453~464 (2006)
- Velazquez-Martinez A, "Response of aboveground biomass increment, growth efficiency, and foliar nutrients to thinning, fertilization, and pruning in young Douglas-fir plantations in the central Oregon Cascades", Can J For Res, 22, pp.1278~1289 (1992)
- Vertessy RA, "Relationships between stem diameter, sapwood area, leaf area and transpiration in a young mountain ash forest", Tree Physiol, 15, pp.559~567 (1995)
- Vose JM, "Leaf area, stem wood growth, and nutritional relationships in loblolly pine", For Sci, 34, pp.547~563 (1988)
- Waring RH, "Advances in Ecological Research", pp.327~354 (1983), Academic Press
- Waring RH, "Application of the pipe model theory to predict canopy leaf area", Can J For Res, 12, pp.556~560 (1982)
- Zianis D, "Aspects of Tree Allometry", pp.113~144 (2005), New Research on Forest Ecosystems
- Zianis D, "Above ground biomass relationships for beech(Fagus moesiaca Cz. )trees in Vermio Mountain, Northern Greece, and generalized equations for Fagus sp", For Sci, 60, pp.439~448 (2003)