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Bhatt, Bhagwati Prasad
- Biomass production and carbon stock in Psidium guajava orchards under hot and sub-humid climate
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PDF Views:81
Authors
Sushanta Kumar Naik
1,
Pradip Kumar Sarkar
1,
Bikash Das
1,
Arun Kumar Singh
1,
Bhagwati Prasad Bhatt
2
Affiliations
1 ICAR Research Complex for the Eastern Region, Farming System Research Centre for Hill and Plateau Region, Ranchi 834 010, India, IN
2 ICAR Research Complex for the Eastern Region, ICAR Parisar, B. V. College, Patna 800 014, India, IN
1 ICAR Research Complex for the Eastern Region, Farming System Research Centre for Hill and Plateau Region, Ranchi 834 010, India, IN
2 ICAR Research Complex for the Eastern Region, ICAR Parisar, B. V. College, Patna 800 014, India, IN
Source
Current Science, Vol 120, No 10 (2021), Pagination: 1627-1635Abstract
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 guajavaFull Text
References
- 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.