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Estimation of above-ground biomass and carbon stock of an invasive woody shrub in the subtropical deciduous forests of Doon Valley, western Himalaya, India

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Abstract

This study describes the different parameters used to derive the allometric equation for calculating the biomass of an invasive woody shrub Lantana camara L. from the subtropical conditions of western Himalaya. It identifies the most accurate and convenient method for biomass calculation by comparing destructive with non-destructive methodology. Different parameters were measured on a wide range of Lantana from different community levels for the non-destructive calculation of total above-ground biomass. Different explanatory variables were identified and measured such as basal diameter either as a single independent variable or in combination with plant height. The other suitable combinations of available independent variables include crown length, crown width, crown area, crown volume and coverage of the plant. Amongst the wide range of allometric equations used with different variables, the equation with D2H as a variable was found to be the most suitable estimator of biomass calculation for Lantana. Sahastradhara, being the most disturbed area due to its high tourist activity round the year, showed maximum coverage (58.57 % ha−1), highest biomass (13,559.60 kg ha−1) and carbon density (6,373.01 kg ha−1) of Lantana. The degree of Lantana’s invasiveness in subtropical conditions was also calculated on the basis of importance value index (IVI). The maximum IVI (22.77) and mean coverage (26.8 % ha−1) was obtained from the areas near Jolly Grant airport, indicating that physically disturbed areas are more suitable for the growth of Lantana, which may significantly increase shrub biomass. The importance of incorporating allometric equations in calculation of shrub biomass, and its role in atmospheric carbon assimilation has thus been highlighted through the findings of this study.

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References

  • Araújo TM, Higuchi N, Carvalho JA Jr (1999) Comparison of formulae for biomass content determination in a tropical rain forest site in the state of Para, Brazil. For Ecol Manag 117:43–52

    Article  Google Scholar 

  • Barasa B, Majaliwa MGJ, Lwasa S, Obando J, Bamutaze Y (2010) Estimation of the aboveground biomass in the Trans-Boundary River, Sio Sub-catchment in Uganda. J Appl Sci Environ Manag 14(2):87–90

    Google Scholar 

  • Blanco P, Navarro RM (2003) Aboveground phytomass models for major species in shrub ecosystems of Western Andalucia. Investigaciones Agrarias: Sistemasy Recursos Forestales 12(3):47–55

    Google Scholar 

  • Brown S (2001) Measuring and monitoring carbon benefits for forest-based projects: experience from pilot projects, can carbon sinks be operational? Resources for the future (RFF) workshop proceedings, Washington DC, p 119

  • Bryant FC, Kothmann MM (1979) Variability in predicting edible browse from crown volume. J Range Manag 32(2):144–146

    Article  Google Scholar 

  • Buech RR, Rugg DJ (1989) Biomass relation of shrub components and their generality. For Ecol Manag 26:257–264

    Article  Google Scholar 

  • Burrows WH, Henry BK, Back PV, Hoffmann MB, Tait IJ, Anderson ER, Menke N, Danaher T, Carter JO, McKeon GM (2002) Growth and carbon stock change in Eucalypt woodlands in Northeast Australia: ecological and greenhouse sink implication. Glob Change Biol 8:769–784

    Article  Google Scholar 

  • Castro I, Casado MA, Ramarez Sanz L, De Miguel JM, Costa M, Diaz F (1996) Funciones de estimacion de la fitomasa aérea de varias species del matorral mediterráneo del centro de la peninsula ibérica. Orsis 11:107–116

    Google Scholar 

  • Chaturvedi RK, Raghubanshi AS, Singh JS (2011) Carbon density and accumulation in woody species of tropical dry forest in India. For Ecol Manag 262:1576–1588

    Article  Google Scholar 

  • Dean S, Burkhardt JW, Meeuwig RO (1981) Estimating twig and foliage production of sagebrush, bitterbrush and rabbitbrush in the Great Basin. J Range Manag 34(3):224–227

    Article  Google Scholar 

  • Di Castri F, Goodall DW, Specht RL (1981) Mediterranean type shrubland. Elsevier Scientific Publishing Company, Amsterdam, p 56

    Google Scholar 

  • Eiswerth ME, Darden TD, Johnson WS, Agapoff J, Thomas RH (2005) Input-output modeling, outdoor re-creation, and the economic impacts of weeds. Weed Sci 53(1):130–137

    Article  CAS  Google Scholar 

  • Etienne M (1989) Non-destructive methods for evaluating shrub biomass: a review. Acta Oecol 10:115–128

    Google Scholar 

  • FAO (1999) Forestry research support programme for Asia and the Pacific: a statistical manual for forestry research. Food and Agriculture Organization of the United Nations Regional Office for Asia and the Pacific Bangkok, pp 181–191

  • Ferguson RB, Marsden MA (1977) Estimating overwinter bitterbrush utilization from twig diameter-length-weight relations. J Range Manag 30(3):231–236

    Article  Google Scholar 

  • Foroughbakhch R, Reyes G, Alvarado-Vázquez MA, Hernández-Piñero J, Rocha-Estrada A (2005) Use of quantitative methods to determine leaf biomass on 15 woody shrub species in north-eastern Mexico. For Ecol Manage 216:359–366

    Article  Google Scholar 

  • Furnival GM (1961) An index for comparing equations used in constructing volume tables. For Sci 7:337–341

    Google Scholar 

  • Garber SM, Maguire DA (2005) The response of vertical foliage distribution to spacing and species composition in mixed conifer stands in central Oregon. For Ecol Manag 211(3):341–355

    Article  Google Scholar 

  • Hamburg SP (2000) Simple rules for measuring changes in ecosystem carbon in forestry-offset projects. Mitig Adapt Strat Glob Change 5:25–37

    Article  Google Scholar 

  • Hanson HC, Churchill ED (1961) The plant community. Reinhold Publishing Corporation, New York, p 155

    Google Scholar 

  • Harniss RO, Murray RB (1976) Reducing bias in dry leaf weight estimates of big sagebrush. J Range Manag 29(5):430–432

    Article  Google Scholar 

  • Harrington G (1979) Estimation of above-ground biomass of trees and shrubs in a Eucalyptus populnea F. Mull. woodland by regression of mass on trunk diameter and plant height. Aust J Bot 27:135–143

    Article  Google Scholar 

  • India Climate Portal (2010) SAARC summit: promise of possibility?, vol 13. India Climate Watch, India

    Google Scholar 

  • IPCC (2006) Agriculture, forestry and other land use. In: Eggleston HS, Buendia L, Miwa K, Ngara T, Tanabe K (eds) IPCC guidelines for national greenhouse gas inventories, prepared by the national greenhouse gas inventories programme. IGES, Japan, p 120

    Google Scholar 

  • Karki D (2002) Economic assessment of community forestry in inner terai of Nepal: a case study from Chitwan district. Asian Institute of Technology press, Thailand, p 35

    Google Scholar 

  • Khanal KP (2001) Economic evaluation of community forestry in Nepal and its equity distribution effect. The Royal Veterinary and Agricultural University Press, Denmark, p 68

    Google Scholar 

  • Knox J, Jaggi D, Paul MS (2011) Population dynamics of Parthenium hysterophorus (Asteraceae) and its biological suppression through Cassia occidentalis (Caesalpiniaceae). Turkish Journal of Botany 35:111–119

    Google Scholar 

  • Kumar R, Suresh N, Sangode SJ, Kumaravel V (2007) Evolution of the quaternary alluvial fan system in the Himalayan Foreland Basin: implications for tectonic and climatic decoupling. Quatern Int 159:6–20

    Article  Google Scholar 

  • Kumar R, Chandrashekar N, Pandey KK (2009) Fuel properties and combustion characteristics of Lantana camara and Eupatorium spp. Curr Sci 97(6):930–935

    CAS  Google Scholar 

  • Ludwig LJ, Charles-Edwards DA, Withers AC (1975) Tomato leaf photosynthesis and respiration in various light and carbon dioxide environments. In: Marcell R (ed) Environmental and biological control of photosynthesis. Dr. W. Junk b. v., Publishers, The Hague, pp 17–28

  • Maraseni TN, Cockfield G, Apan A, Mathers N (2005) Estimation of shrub biomass: development and evaluation of allometric models leading to innovative teaching methods. Int J Bus Manag Edu (Special Issue):17–32. http://core.kmi.open.ac.uk/download/pdf/11036840.pdf

  • Margules Groome Pöyry Pty Ltd (1998) Wood fibre yields for South East Queensland RFA region (Draft Report): prepared for CRA unit. Department of Natural Resources, Brisbane and BRS, DPIE, Canberra

    Google Scholar 

  • Mary AA, Steven PH, Siccama T (2001) Validating allometric estimates of aboveground living biomass and nutrient contents of a Northern hardwood forest. Can J For Res 31:11–17

    Article  Google Scholar 

  • Montagu KD, Duttmer K, Barton CVM, Cowie AL (2005) Developing general allometric relationship for regional estimates of carbon sequestration—an example using Eucalyptus pilularis from seven contrasting sites. For Ecol Manag 204(1):115–129

    Article  Google Scholar 

  • Montés N, Gauquelin T, Badri W, Bertaudière V, Zaoui EH (2000) A non-destructive method for estimating above-ground forest biomass in threatened woodlands. For Ecol Manag 130:37–46

    Article  Google Scholar 

  • Murray RB, Jacobson MQ (1982) An evaluation of dimension analysis for predicting shrub biomass. J Range Manag 35(4):451–454

    Article  Google Scholar 

  • Navarro RM, Oyonarte PB (2006) Estimation of above ground biomass in shrubland ecosystems of Southern Spain. Investigación Agraria. Sistemasy Recursos Forestales 15(2):197–207

    Article  Google Scholar 

  • Nuñez-Regueira L, Proupin-Castineiras J, Rodriguez-Anon JA (2000) Design of risk index maps as a tool to prevent forest fires in the hill side zone of Galicia (NW Spain). Bioresour Technol 73(2):123–131

    Article  Google Scholar 

  • Oosting HJ (1958) The study of plant communities. Freeman WH and Corporation, San Francisco

    Google Scholar 

  • Oyonarte PB, Navarro RM (2003) Aboveground phytomass models for major species in shrub ecosystems of western Andalusia. Investigación Agraria. Sistemas y Recursos Forestales 12(3):47–55

    Google Scholar 

  • Parresol R (1999) Assessing tree and stand biomass: a review with examples and critical comparisons. For Sci 45:573–593

    Google Scholar 

  • Pastor-López A, Martin J (1995) Ecuaciones de biomasa para Pinus halepensis en repoblaciones de la provincial de Alicante. Studia Oecologica 12:79–88

    Google Scholar 

  • Peek JM (1970) Relation of canopy area and volume to production of three woody species. Ecology 51(6):1098–1101

    Article  Google Scholar 

  • Phillips EA (1959) Methods of vegetation study. Holt H & Corporation, New York, p 96

    Google Scholar 

  • Puri GS (1950) Soil pH and forest communities in the Sal (Shorea robusta) forests of the Dehradun Valley, U.P. India. Indian For 76(7):292–303

    Google Scholar 

  • Rana BS, Singh SP, Singh RP (1989) Carbon and energy dynamic of seven Central Himalayan forests. Trop Ecol 30(2):253–264

    Google Scholar 

  • Rapp M, Regina IS, Gallego HA (1999) Biomass nutrient content, litter fall and nutrient return to the soil in Mediterranean oak forest. For Ecol Manag 119:39–49

    Article  Google Scholar 

  • Ruiz de la Torre J (1990) Mapa Forestal de Espana. Memoria general. ICONA. Ministerio de Agricultura, Pescay Alimentacion, Madrid, p 191

    Google Scholar 

  • Rutherford MC (1979) Plant-based techniques for determining available browse and browse utilization: a review. Bot Rev 45:203–228

    Article  Google Scholar 

  • Sah JP, Ross MS, Koptur S, Snyder JR (2004) Estimating aboveground biomass of broadleaved woody plants in the understory of Florida Keys pine forests. For Ecol Manag 203:319–329

    Article  Google Scholar 

  • Satoo T, Madgewick HAI (1982) Forest biomass. Junk, Boston, The Hague, p 152

    Google Scholar 

  • Sharma GP, Raghubanshi AS (2010) How Lantana invades dry deciduous forest: a case study from Vindhyan highlands, India. Trop Ecol 51(2S):305–316

    Google Scholar 

  • Sharma GP, Raghubanshi AS (2011) Lantana camara L. invasion and impact on herb layer diversity and soil properties in a dry deciduous forest of India. Appl Ecol Environ Res 9(3):253–264

    Article  Google Scholar 

  • Sharma S, Bhattacharya S, Garg A (2006) Greenhouse gas emissions from India: a perspective. Curr Sci 90(3):326–333

    Google Scholar 

  • Shukla PR (2006) India’s GHG emission scenarios: aligning development and stabilization paths. Curr Sci 90(3):384–395

    CAS  Google Scholar 

  • Singh JS, Tewari AK, Saxena AK (1985) Himalayan forests: a net source of carbon to the atmosphere. Environ Conserv 12:67–69

    Article  CAS  Google Scholar 

  • Singh SP, Negi GCS, Pant MC, Singh JS (1992) Economic considerations in Himalayan agroecosystems. In: Agrawal A (ed) The Price of Forests. Centre for Science and Environment, New Delhi, p 296

    Google Scholar 

  • Smith WB, Brand GJ (1983) Allometric biomass equations for 96 species of herb, shrub and small trees. USDA Forest Service, North Central Forest Experimental Station, Saint Paul, p 299

    Google Scholar 

  • Specht A, West PW (2003) Estimation of biomass and sequestered carbon on farm forest plantation in Northern New South Wales, Australia. Biomass Bioenergy 25:363–379

    Article  Google Scholar 

  • Terradas J (1991) Mediterranean woody plant growth forms, biomass and production in the eastern part of the Iberian Peninsula. Oecologia 10:337–349

    Google Scholar 

  • Thakur VC, Pandey AK (2004) Late quaternary tectonic evolution of Doon in fault bend/propagated fold system. Garhwal Sub Himalaya. Curr Sci 87(11):1567–1576

    CAS  Google Scholar 

  • Tietema T (1993) Biomass determination of fuel wood trees and bushes of Botswana, Southern Africa. For Ecol Manag 60:157–269

    Article  Google Scholar 

  • Uresk DW, Gilbert RO, Rickard WH (1977) Sampling big sagebrush for phytomass. J Range Manag 30:311–314

    Article  Google Scholar 

  • Uso JL, Mateu J, Karjalainen T, Salvador P (1997) Allometric regression equations to determine above ground biomass of Mediterranean shrubs. Plant Ecol 132:59–69

    Article  Google Scholar 

  • Ward SC, Pickersgill GE (1985) Nutrient distribution in two eucalypt plantations growing on rehabilitated bauxite mines. Aust J Ecol 10:111–124. doi:10.1111/j.1442-9993.1985.tb00873.x

  • Waring RH, Running SW (1996) Forest ecosystems Analysis at multiple scales. Academic Press, Harcourt Brace and Company, New York, p 370

    Google Scholar 

  • Wharton EH, Griffith DM (1993) Methods to estimate total forest biomass for extensive inventories: applications in the north-eastern U.S. USDA Forest service Research Paper, USA, p 681

  • Whittaker RH (1970) Communities and ecosystems. Macmillan, New York, p 162

  • Wildlife Institute of India (2006) Summary of existing protected area network in India. Wildlife Institute of India, National Wildlife Database Cell, New Delhi

    Google Scholar 

  • Zeng HQ, Liu QJ, Feng ZW, Ma ZQ (2010) Biomass equations for four shrub species in subtropical China. J For Res 15:83–90

    Article  CAS  Google Scholar 

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Acknowledgments

We thank Ecology Research Lab and Botany Department of DAV (PG) College, Dehradun, India for providing necessary help in collecting samples and analysis. We give our sincere regards to the staff of the Department of Botany and National Forest Library, ICFRE, Dehradun, India for providing necessary laboratory and literary help during this work. We also thank Bharti Vidyapeeth University, Pune, India for providing statistical support during this study.

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  1. Ecology Research Laboratory, Department of Botany, DAV (PG) College, Dehradun, 248001, Uttarakhand, India

    Gautam Mandal & S. P. Joshi

  2. Faculty of Science, The Lawrence School, Sanawar, Kasauli, 173202, HP, India

    Gautam Mandal

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  1. Gautam Mandal
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Correspondence to Gautam Mandal.

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Corresponding editor: Hu Yanbo

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Mandal, G., Joshi, S.P. Estimation of above-ground biomass and carbon stock of an invasive woody shrub in the subtropical deciduous forests of Doon Valley, western Himalaya, India. J. For. Res. 26, 291–305 (2015). https://doi.org/10.1007/s11676-015-0038-8

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