Height and diameter at breast height relationship of mangroves in Kerala coast, India
Author Affiliations
- 1Division of Forest Botany, Kerala Forest Research Institute, Peechi 680 653, Kerala, India
- 2Division of Forest Botany, Kerala Forest Research Institute, Peechi 680 653, Kerala, India
- 3Division of Soil Science, Kerala Forest Research Institute, Peechi 680 653, Kerala, India
Int. Res. J. Environment Sci., Volume 9, Issue (4), Pages 1-6, October,22 (2020)
Abstract
The diameter at breast height in relation to the height (Dbh:H) in mangroves may differ with respect to the region and regions generating large-volume assessments of biomass in the above-ground results in fallacy if these differences in species are neglected. A performance assessment with 11 existing non-linear and linear models were held to pick the optimum solution that resolves the Dbh-h relation in mangroves lying in proximity to the Western coastal line of India using a dataset of heights and Dbh of 1034 trees. To assess the chosen models, we adopt AIC system. As per the inference, monomolecular model with a value of 4933.43 (AIC) was bet fit for pooled data.
References
- Blasco, F. (1975)., Mangroves of India. French Institute of Pondicherry., Travaux de la Section Scientifique et Technique, 14(3), 180.
- Basha, S.C. (1992)., Mangroves of Kerala- A fast disappearing asset., Indian forester, 120(2), 175-189.
- Alongi, D.M. (2014)., Carbon Cycling and Storage in Mangrove forests., Annual Review of Marine Sciences, 6, 195-219.
- Donato, D. C. Kauffman, J. B. Murdiyarso, D. Kurnianto, S. Stidham, N. and Kanninen, N. (2011)., Mangroves among the most carbon-rich forests in the tropics., Nature Geo Science, 4, 293-297.
- Pendleton, L. Donato, D.C. Murray, B. C. Crooks, S. Jenkins, W. A. Sifleet, S. Craft, C., Fourqurean, J. W. Kauffman, J. B. and Marbà, N. (2012)., Estimating global blue carbon emissions from conversion and degradation of vegetated coastal ecosystems., Plo Se one, 7, 42- 43.
- Duarte, C. M.Middelburg, J. and Caraco, N. (2005)., Major role of marine vegetation on the oceanic carbon cycle., Biogeosciences, 2, 1-8.
- Bouillon, S. Borges, A. V. Castañeda M. E. Diele, K. Dittmar, T. Duke, N. C. Kristensen, E. Lee, S. Y. Marchand, C. Middelburg, J. J. Rivera-Monroy, V. H. Smith III, T. J. and Twilley, R. R. (2008)., Mangrove production and carbon sinks: A revision of global budget estimates., Global Biogeochemical Cycle, 22, 12-34. doi: 10.1029/2007GB003052.
- Limpens, J. Berendse, F. Blodau, C. Canadell, J.G. Freeman, C. and Holden, J. (2008)., Peatlands andthe carbon cycle: from local processes to global implications -a synthesis., Biogeosciences, 82(5), 1475-1491
- Houghton, R. A. (2007)., Balancing the global carbon budget., Annual Review of Earth and Planetary Sciences, 20, (35), 313-347.
- Lianjun Zhang, Changhui Peng, Shongming Huang and Xiaolu Zhou (2001)., Developing eco region-based height-diameter models for jack pine and black spruce in Ontario., Ministry of Nature Resource, Ontario, CA, USA. pp 2-30. ISBN: 077-94-156-12.
- Sujanapal Puthiyapurayil and Sasidharan Nanu (2014)., Handbook on Mangroves and Mangrove Associates of Kerala., Kerala State Biodiversity Board, Thiruvananthapuram. pp 30-37. ISBN: 819-20-338-80.
- IMD Report (2019)., National Climate Centre, India. Meteorological Department. Data Reference Link., www.imd.gov.in/nccraindata.html.18/5/19
- R. Development Core Team (2011)., R A language and environment for statistical computing., R Foundation for Statistical Computing, Vienna. RC Team. URL http://www. R-project. org
- Burnham, K. P., & Anderson, D. R. (2002)., A practical information-theoretic approach. Model selection and multimodal inference., 2nd ed. Springer, New York, 2.
- Chave, J. Andalo, C. Brown, S. Cairns, M.A. Chambers, J. Q. Eamus, D. Folster, H. Fromard, F. Higuchi, N. Kira, T. Lescure, J. P. Nelson, B. W. Ogawa, H. Puig, H. Riera, B. and Yamakura, T. (2005)., Tree allometry and improved estimation of carbon stocks and balance in tropical forests., Oecologia, 145(2), 87-99.
- Batista, J.L. Couto, H.T.Z, and Marquesini, M. (2001)., Performance of height-diameter relationship models: analysis in three forest types., Forestry Science, 60(3), 149-163.
- Fang, R. and Bailey, R.L. (1979)., The potential of Weibull-type functions as flexible growth curves: Discussion., Canadian Journal of Forestry Research, 10(2), 117-118.
- Vanclay, J. K. (1995)., Synthesis: growth models for tropical forests: a synthesis of models and methods., Forest Science, 41(1), 7-42.
- Curtis, R.O. (1967)., Height-diameter and height-diameter-age equations for second-growth Douglas-fir., Forestry Science, 13(3), 365-375.
- Tang, S. (1994)., Self-adjusted height-diameter curves and one entry volume model., Forestry Science, 7(2), 512-518.
- Huang, S., and Titus, S.J. (1992)., Comparison of nonlinear height-diameter functions for major Alberta tree species., Canadian Journal of Forestry Research, 22(2-3), 1297- 1304.