Current Science

Open Access Open Access  Restricted Access Subscription Access

Biomass production and carbon stock in Psidium guajava orchards under hot and sub-humid climate


Affiliations
1 ICAR Research Complex for the Eastern Region, Farming System Research Centre for Hill and Plateau Region, Ranchi 834 010, India, India
2 ICAR Research Complex for the Eastern Region, ICAR Parisar, B. V. College, Patna 800 014, India, India
 

Biomass and carbon storage in orchard ecosystems serve as significant carbon sinks to reduce global warming. The objective of this study was to determine the best-fitted model for non-destructive prediction of dry biomass and carbon stock in Psidium guajava. Richard’s model was well validated and considered as best performing with lowest Akaike information criterion of 90.13, ischolar_main mean square error of 1.69 kg tree–1 and highest adjusted R2 of 0.981. Tree components like leaves, branches, bole, total above-ground biomass, total below ground biomass and ischolar_main biomass were fitted in Richard’s model for dry biomass and carbon stock prediction. The total dry biomass of P. guajava ranged from 0.54 to 9.26 Mg ha–1 in 2–10- years-old orchards. The highest mean dry biomass across tree components was observed in branches, while ischolar_mains recorded the lowest mean biomass. The total carbon stock was 0.27 and 4.19 Mg ha–1 with CO2 sequestration potential of 0.76 and 11.54 Mg ha–1 in 2-year and 10-year-old orchards respectively.

Keywords

Biomass production, carbon stock, global warming, growth models, Psidium guajava
User
Notifications
Font Size

  • Houghton, R. A., Why are estimates of the terrestrial carbon balance so different? Global Change Biol., 2003, 9, 500–509.

  • IPCC, Climate Change 2007: Synthesis Report: Contribution of Working Groups I, II and III to the Fourth Assessment Report. Intergovernmental Panel on Climate Change, Geneva, Switzerland, 2007.

  • https://www.esrl.noaa.gov/gmd/ccgg/trends/ (assessed on 25 June 2017).

  • Jackson, M., Ford-Lloyd, B. and Parry, M., Plant Genetic Resources and Climate Change, CAB International, Manila, Philippines, 2014.

  • NHB, Final area and production estimates for horticulture crops for 2014–2015, National Horticulture Board, New Delhi, 2015; http://nhb.gov.in/PDFViwer.aspxenc=3ZOO8K5CzcdC/Yq6HcdIxC0U1kZZenFuNVXacDLxz28=

  • UNFCCC, Kyoto Protocol Reference Manual, United Nations Framework Convention on Climate Change, Bonn, Germany, 2008, p. 33.

  • Foresta, de H., Sommariba, E., Temu, A., Boulanger, F. H. and Desiree, G. M., Towards the assessment of trees outside forests: resources assessment, Working Paper No. 183. Food and Agriculture Organization, Rome, Italy, 2013, p. 335.

  • Fassnacht, F. E., Hartig, F., Latifi, H., Berger, C., Hernández, J. and Corvalán, P., Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass. Remote Sensing Environ., 2014, 154, 102–114.

  • Naik, S. K., Maurya, S., Mukherjee, D., Singh, A. K. and Bhatt, B. P., Rates of decomposition and nutrient mineralization of leaf litter from different orchards under hot and dry sub-humid climate. Arch. Agron. Soil Sci., 2018, 64, 560–573.

  • Naik, S. K., Shinde, R., Mali, S. S., Jha, B. K., Das, B. and Singh, A. K., Diagnosis of nutrient deficiency and its management in horticultural crops. Technical Bulletin No. R-59/Ranchi-26, Research Centre, Ranchi, ICAR Research Complex for Eastern Region, Patna, India, 2016.

  • Rathore, A. C. et al., Predictive models for biomass and carbon stock estimation in Psidium guajava on bouldery riverbed lands in North-Western Himalayas, India. Agrofor. Syst., 2018, 92, 171–182.

  • Naik, S. K., Sarkar, P. K., Das, B., Singh, A. K. and Bhatt, B. P., Predictive models for dry biomass and carbon stock estimation in Litchi chinensis under hot and dry sub-humid climate. Arch. Agron. Soil Sci., 2018, 64, 1366–1378.

  • Wilkinson, L. and Coward, M., SYSTAT: statistics-II, Version 12. Systat Software Inc, San Jose, CA, USA, 2007.

  • Rizvi, R. H., Khare, D. and Dhillon, R. S., Statistical models for aboveground biomass of Populus deltoids planted in agroforestry in Haryana. Trop. Ecol., 2008, 49, 35–42.

  • Rizvi, R. H., Dhyani, S. K., Yadav, R. S. and Ramesh, S., Biomass production and carbon stock of poplar agroforestry systems in Yamunanagar and Saharanpur districts of northwestern India. Curr. Sci., 2011, 100, 736–742.

  • Arora, G., Chaturvedi, S., Kaushal, R., Nain, A., Tewari, S., Alam, N. M. and Chaturvedi, O. P., Growth, biomass, carbon stocks and sequestration in age series Populus deltoides plantations in Tarai region of Central Himalaya. Turk. J. Agric. For., 2013, 38, 550– 560.

  • Prajneshu and Chandran, K. P., Comparison of compound growth rates in agriculture: revisited. Agric. Econ. Res. Rev., 2005, 18, 317–324.

  • Ajit, Rai, P., Handa, A. K., Choudhary, I. S. and Uma, C., Allometry for estimating above ground biomass of Eucalyptus tereticornis under energy and boundary plantations in central India. Ann. Arid Zone, 2006, 45, 175–182.

  • Akaike, H., Information theory as an extension of the maximum likelihood principle. In Second International Symposium on Information Theory (eds Petrov, B. N. and Csaki, F.), Akademiai Kiado, Budapest, 1973, pp. 267–281.

  • Hurvich, C. and Tsai, C. L., Regression and time series model selection in small samples. Biometrica, 1989, 76, 297–293.

  • Ajit, Srivastava, P. N., Gupta, V. K. and Solanki, K. R., Linear tree growth models: a limitation of negative estimation of size. Indian For., 2000, 126, 1336–1341.

  • Verma, A. et al., Predictive models for biomass and carbon stocks estimation in Grewia optiva on degraded lands in Western Himalaya. Agrofor. Syst., 2014, 88, 895–905.

  • Gourlet-Fleury, S. and Houllier, F., Modelling diameter increment in a lowland evergreen rain forest in French Guiana. For. Ecol. Manage, 2000, 131, 269–289.

  • Veronica, G., Luisa, P. P. and Gerardo, R., Allometric relations for biomass partitioning of Nothofagus Antarctica trees of different crown classes over a site quality gradient. For. Ecol. Manage., 2010, 259, 1118–1126.

  • Noh, N. J., Son, Y., Lee, S. K., Seo, K. W. and Heo, S. J., Carbon and nitrogen storage in an age-sequence of Pinus densiflora stands in Korea. Sci. China Life Sci., 2010, 53, 822–830.

  • Cao, J., Wang, X., Tian, Y., Wen, Z. and Zha, T., Pattern of carbon allocation across three different stages of stand development of a Chinese pine (Pinus tabulaeformis) forest. Ecol. Res., 2012, 27, 883–892.

  • Li, X., Yi, M. J., Son, Y., Park, P. S. and Lee, K. H., Biomass and carbon storage in an age-sequence of Korean pine (Pinus koraiensis) plantation forests in Central Korea. J. Plant Biol., 2011, 54, 33–42.

  • Naik, S. K., Maurya, S. and Bhatt, B. P., Soil organic carbon stocks and fractions in different orchards of eastern plateau and hill region of India. Agrofor. Syst., 2017, 91, 541–552.

  • Koul, D. N. and Panwar, P., Prioritizing land-management options for carbon sequestration potential. Curr. Sci., 2008, 95, 658–663.

  • Goswami, S., Verma, K. S. and Kaushal, R., Biomass and carbon sequestration in different agroforestry systems of a Western Himalayan watershed. Biol. Agric. Hortic., 2014, 30, 88–96.

  • Smithwick, E. A. H., Harmon, M. E., Remillard, S. M., Acker, S. and Franklin, J., Potential upper bounds of carbon stores in forests of the Pacific North-West. Ecol. Appl., 2002, 12, 1303–1317.

  • Keith, H., Mackey, B. G. and Lindenmayer, D. B., Re-evaluation of forest biomass carbon stocks and lessons from the world’s most carbon-dense forests. Proc. Natl. Acad. Sci. USA, 2009, 106, 11635–11640.


Abstract Views: 402

PDF Views: 148




  • Biomass production and carbon stock in Psidium guajava orchards under hot and sub-humid climate

Abstract Views: 402  |  PDF Views: 148

Authors

Sushanta Kumar Naik
ICAR Research Complex for the Eastern Region, Farming System Research Centre for Hill and Plateau Region, Ranchi 834 010, India, India
Pradip Kumar Sarkar
ICAR Research Complex for the Eastern Region, Farming System Research Centre for Hill and Plateau Region, Ranchi 834 010, India, India
Bikash Das
ICAR Research Complex for the Eastern Region, Farming System Research Centre for Hill and Plateau Region, Ranchi 834 010, India, India
Arun Kumar Singh
ICAR Research Complex for the Eastern Region, Farming System Research Centre for Hill and Plateau Region, Ranchi 834 010, India, India
Bhagwati Prasad Bhatt
ICAR Research Complex for the Eastern Region, ICAR Parisar, B. V. College, Patna 800 014, India, India

Abstract


Biomass and carbon storage in orchard ecosystems serve as significant carbon sinks to reduce global warming. The objective of this study was to determine the best-fitted model for non-destructive prediction of dry biomass and carbon stock in Psidium guajava. Richard’s model was well validated and considered as best performing with lowest Akaike information criterion of 90.13, ischolar_main mean square error of 1.69 kg tree–1 and highest adjusted R2 of 0.981. Tree components like leaves, branches, bole, total above-ground biomass, total below ground biomass and ischolar_main biomass were fitted in Richard’s model for dry biomass and carbon stock prediction. The total dry biomass of P. guajava ranged from 0.54 to 9.26 Mg ha–1 in 2–10- years-old orchards. The highest mean dry biomass across tree components was observed in branches, while ischolar_mains recorded the lowest mean biomass. The total carbon stock was 0.27 and 4.19 Mg ha–1 with CO2 sequestration potential of 0.76 and 11.54 Mg ha–1 in 2-year and 10-year-old orchards respectively.

Keywords


Biomass production, carbon stock, global warming, growth models, Psidium guajava

References





DOI: https://doi.org/10.18520/cs%2Fv120%2Fi10%2F1627-1635