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Das, Bikash
- Rainwater Harvesting Using Plastic-Lined Doba Technology for Orchard Establishment in the Eastern Plateau and Hill Region of India
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Authors
Affiliations
1 ICAR Research Complex for Eastern Region, Research Centre, Ranchi 834 010, IN
2 NRM Division, Indian Council of Agricultural Research, New Delhi 110 012, IN
1 ICAR Research Complex for Eastern Region, Research Centre, Ranchi 834 010, IN
2 NRM Division, Indian Council of Agricultural Research, New Delhi 110 012, IN
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Current Science, Vol 111, No 11 (2016), Pagination: 1751-1753Abstract
Water is a vital component that determines the full potential of the agriculture sector of any country. The practice of rainwater harvesting (RWH) in ponds and reusing the stored water for lifesaving irrigation of crops is prevalent in India since ancient times. One can find efficient management of water in a region in traditional farming systems like kattas and surangams in North Kerala and Karnataka, and zabo system and bamboo drip system of Nagaland.Full Text
- Prevalent Agroforestry Systems of Jharkhand State of India:A Livelihood Option
Abstract Views :192 |
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Authors
Affiliations
1 ICAR Research Complex for Eastern Region, Research Centre, Ranchi (Jharkhand), IN
2 NBPGR, Regional Station, Ranchi (Jharkhand), IN
1 ICAR Research Complex for Eastern Region, Research Centre, Ranchi (Jharkhand), IN
2 NBPGR, Regional Station, Ranchi (Jharkhand), IN
Source
Rashtriya Krishi (English), Vol 12, No 1 (2017), Pagination: 87-89Abstract
The topography of Jharkhand state of India is generally undulating, with alfisols as major soil type. It is characterized by having light textured soil and high rate of soil erosion (Gulati and Rai, 2014). The soils are generally acidic in reaction with low activity of clay and rich in hydrated oxides of Iron and Aluminium leading to Phosphate fixation.
References
- Chauhan, M.K., Ram, J. and Dagar, J.C. (2012).Biodrainage and Carbon Sequestration. Lambert Academic Publishing. pp.304.
- FSI (2011). India State of Forest Report 2011. Forest Survey of India, Govt. of India, Dehradun, India.
- Gulati, A. and Rai, S.C. (2014). Cost estimation of soil erosion and nutrient loss from a watershed of the Chotanagpur Plateau, India. Curr. Sci., 107(4) : 670-674.
- Hegde, R., Poonacha, N.M., Ahir, K.C. and Sarkar, P.K. (2009). Selection of plus trees for cloning in wild fruit trees. In: Field manual on clonal forestry (Eds.) Ramakrishna Hegde, G. N. Sreekantaiah and M. R. Karki. College of Forestry, Ponnampet and Karnataka Forest Department, Bangalore, pp. 11-17.
- Sinha, A. (2009). Production potential of some winter vegetables under edible bamboo – Dendrocalamus asper. J. Bamboo & Rattan, 8(1/2): 91-94.
- Tewary, P.K., Singh, M.K. and Banerjee, N.D. (2006). Studies on intercropping in mulberry (Morus alba L.) field of Chotanagpur Plateau. Adv. Plant Sci., 19(2): 657-660.
- World Bank (2007). Jharkhand - Addressing the Challenges of Inclusive Development. Report No. 36437-IN, p.148.
- Biophysical Performance of Different Multipurpose Trees Species in Jharkhand, India
Abstract Views :222 |
PDF Views:94
Authors
Affiliations
1 ICAR-Research Complex for Eastern Region, Research Centre, Ranchi - 834 010, IN
2 ICAR-Indian Institute of Soil Science, Bhopal - 462 038, IN
3 ICAR-Research Complex for Eastern Region, Patna - 800 014, IN
1 ICAR-Research Complex for Eastern Region, Research Centre, Ranchi - 834 010, IN
2 ICAR-Indian Institute of Soil Science, Bhopal - 462 038, IN
3 ICAR-Research Complex for Eastern Region, Patna - 800 014, IN
Source
Current Science, Vol 116, No 1 (2019), Pagination: 82-88Abstract
An experiment was conducted to evaluate the performance and characterize plant growth behaviour, light profile and soil fertility status of seventeen different trees (12 years old). The study indicated higher biomass production potential of Gmelina arborea, Dalbergia sissoo and Leucaena leucocephala. Higher photosynthetically active radiation value below tree canopy indicates compatibility of trees with a majority of agricultural crops. In the present study, a significant increase in pH and decrease in EC of trees were observed. The significant reduction in nutrients in different trees indicated a need for replenishment of nutrients in soil for maintaining soil fertility in agroforestry systems on long-term basis.Keywords
Agroforestry, Biophysical Performance, CO2FIX Model, Multipurpose Trees Species, Tree Biomass.Full Text
References
- Gulati, A. and Rai, S. C., Cost estimation of soil erosion and nutrient loss from a watershed of the Chotanagpur Plateau, India, Curr. Sci., 2014, 107, 670–674.
- Dey, P. and Sarkar, A. K., Revisiting indigenous farming knowledge of Jharkhand (India) for conservation of natural resources and combating climate change. Indian J. Tradit. Knowl., 2011, 10, 71–79.
- Ehui, S. K., Kang, B. T. and Spencer, D. S. C., Economic analysis of soil erosion effects in alley cropping, no-till and bush fallow systems in South Western Nigeria. Agric. Syst., 1990, 34, 349– 368.
- Cunningham, A. B., People, park and plant use. Recommendations for multiple use zones and development alternatives around Bwindi Impenetrable National Park, Uganda, UNESCO, Paris, 1996.
- Peters, C. M., Sustainable harvest of non-timber plant resources in tropical moist forest: an ecological primer, USAID Biodiversity Support Programme, Washington DC, 1994.
- Yadava, M. S. and Quli, S. M. S., Agroforestry systems and practices in Jharkhand. In Agroforestry Systems and Practices (eds Puri, S. and Panwar, P.), New India Publishing Agency, New Delhi, 2007, pp. 305–318.
- Singh, M. P. and Singh, S., Growth performance of timber species under forest plantations in different agro-climatic zone of Jharkhand, India. Indian For., 2015, 141, 819–825.
- Shepherd, K. D., Ohlsson, E., Okalebo, J. R. and Ndufa, J. K., Potential impact of agroforestry on soil nutrient balances at the farm scale in the East African Highlands. Fert. Res., 1995, 44, 87– 99.
- Oraon, B. C., Malik, M. S. and Bijalwan, A., Changes in soil properties under plantation of multipurpose trees in different ecosystems of Jharkhand. Appl. Ecol. Environ. Sci., 2014, 2, 110– 113.
- Ravindranath, N. H. and Ostwald, M., Carbon inventory methods: handbook for greenhouse gas inventory, carbon mitigation and round wood production projects (Advance in Global Change Research-29), Springer Science, Dordrecht, 2008, p. 306.
- Breda, N., Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. J. Exp. Bot., 2003, 54, 2403–2417.
- Evans, M. R. et al., Allometry and growth of eight tree taxa in United Kingdom woodlands. Sci. Data, Nature, 2015; doi:10.1038/sdata.2015.6.
- Zhang, L. and Liu, X., Non-destructive leaf-area estimation for Bergenia purpurascens across timberline ecotone, southeast Tibet. Ann. Bot. Fennici, 2010, 47, 346–352.
- Ajit, S. K. et al., Modeling analysis of potential carbon sequestration under existing agroforestry systems in three districts of Indo-gangetic plains in India. Agroforest. Sys., 2013, 87, 213– 225.
- Tandon, H. L. S., Methods of Analysis of Soils, Plants, Waters and Fertilizers, FDCO, New Delhi, 1999.
- Naugraiya, M. N. and Puri, S., Performance of multipurpose tree species under agroforestry systems on Entisols of Chattisgarh plains. Range Manage. Agrofor., 2001, 22, 164–172.
- Devarnavadagi, S. B. and Murthy, B. G., Performance of different tree species on eroded soils of northern dry zone of Karnataka. In Advances in Agricultural Research in India, 1995, vol. 4, pp. 73– 77.
- Waring, R. H., Schroeder, P. E. and Oren, R., Application of the pipe model theory to predict leaf area. Can. J. For. Res., 1982, 12, 556–560.
- Goudriaan, J. and Van Laar, H. H., Modeling Potential Crop Growth Processes, Kluwer, Dordrecht, The Netherlands, 1994.
- Moser, G., Hertel, D. and Leuschner, C., Altitudinal change in LAI and stand leaf biomass in tropical Montane forests: a transect study in Ecuador and a Pan-Tropical Meta-Analysis. Ecosyst., 2007, 198, 229–242.
- Onyekwelu, J. C., Above-ground biomass production and biomass equations for even-aged Gmelina arborea (Roxb) plantations in south-western Nigeria. Biomass and Bioenergy, 2004, 26, 39–46.
- Swamy, S. L., Puri, S. and Singh, A. K., Growth, biomass, carbon storage and nutrient distribution in Gmelina arborea Roxb. stands on red lateritic soils in central India. Bioresource Technol., 2003, 90, 109–126.
- Imayavarambar, V., Singaravel, R., Thanunathan, K. and Kardasamy, Study on the soil fertility enrichment under Levcaena leuescephata plantation. Ind. J. For., 2001, 24, 478–479.
- Predicting the Invasion Potential of Indigenous Restricted Mango Fruit Borer, Citripestis Eutraphera (Lepidoptera:Pyralidae) in India Based on Maxent Modelling
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PDF Views:84
Authors
Affiliations
1 ICAR Research Complex for Eastern Region, Research Centre, Plandu, Ranchi 834 010, IN
2 Division of Crop Protection, ICAR-Central Institute for Cotton Research, Nagpur 440 010, IN
1 ICAR Research Complex for Eastern Region, Research Centre, Plandu, Ranchi 834 010, IN
2 Division of Crop Protection, ICAR-Central Institute for Cotton Research, Nagpur 440 010, IN
Source
Current Science, Vol 116, No 4 (2019), Pagination: 636-642Abstract
The mango fruit borer, Citripestis eutraphera (Meyrick), originally confined to the Andaman Islands, is a recent invasion in mainland India. With changes in climatic conditions, the pest is likely to spread in other major mango-growing regions of the country and can pose serious threats to mango production. In this backdrop, the present study examines the impact of climate change to develop spatio-temporal distribution of invasive C. eutraphera in India using the maximum entropy (MaxEnt) modelling approach. Integration of point data on current occurrence of pest and corresponding bioclimatic variables in MaxEnt were used to define the potential distribution in India and mapped using spatial analysis tool in ArcGIS. The model framework performed well as indicated by high area under the curve (0.97) value. Jackknife test for estimating predictive power of the variables indicated that ‘isothermality’ and ‘temperature seasonality’ significantly affected C. eutraphera distribution. It was found that mango-growing pockets in the southwestern parts of Gujarat, as well as parts of Kerala and Tamil Nadu were moderately to highly suitable for C. eutraphera distribution in 2050 and 2070. The results of this study could be an important guide for selecting monitoring and surveillance sites and designing integrated pest management policies in the context of climate change against this invasive pest of mango.Keywords
Climate Change, Mango, Invasive Pest, Species Distribution Models.Full Text
References
- Bradley, B. A., Blumenthal, D. M., Wilcove, D. S. and Ziska, L. H., Predicting plant invasions in an era of global change. Trends Ecol. Evol., 2010, 25(5), 310–318.
- Pimentel, D., In Biological Invasions: Economic and Environmental Costs of Alien Plant, Animal, and Microbe Species, CRC Press, Boca Raton, Florida, USA, 2011, 2nd edn, p. 463.
- Mack, R. N., Simberloff, D., Lonsdale, W. M., Evans, H., Clout, M. and Bazzae, F. A., Biotic invasions: causes, epidemiology, global consequences, and control. Ecol. Appl., 2000, 10(10), 689–710.
- Soumya, B. R., Verghese, A., Kamala Jayanthi, P. D. and Jalali, S. K., Need to strengthen quarantine between Andaman and Nicobar Islands and mainland India. Curr. Sci., 2016, 111(11), 1753–1756.
- Mainka, S. A. and Howard, G. W., Climate change and invasive species: double jeopardy. Integr. Zool., 2010, 5(2), 102–111.
- Sujay, Y. H., Sattagi, H. N. and Patil, R. K., Invasive alien insects and their impact on agroecosystem. Karnataka J. Agric. Sci., 2010, 23(1), 26–34.
- Kamla Jayanthi, P. D., Verghese, A., Shashank, P. R. and Kempraj, V., Spread of indigenous restricted fruit borer, Citripestis eutraphera (Meyrick) (Lepidoptera: Pyralidae) in mango: time for domestic quarantine regulatory reforms. Pest Manage. Hortic. Ecosyst., 2014, 20, 227–230.
- Bhumannavar, B. S., Record of Citripestis eutraphera Meyrick (Pyralidae: Lepidoptera) on Mangifera andamanica in India. J. Bombay Nat. Hist. Soc., 1991, 88(2), 299.
- Jacob, T. K., Veenakumari, K. and Bhumannavar, B. S., Insect pests of cashew in the Andaman Islands. Cashew, 2004, 18(4), 25–28.
- Anderson, S. and Tran-Nguyen, L., Mango fruit borer (Citripestis eutraphera). updated on 24 February 2012; http://www.padil.gov.au (accessed on 17 August 2016).
- Ali, M. R., Miah, M. R. U., Chowdhury, M. S. U. M., Karim, M. A., Mustafi, B. A. A., Hossain, M. M. A. and Rahman, K. M. H., Pest risk analysis (PRA) of mango in Bangladesh. Department of Agriculture Extension, Dhaka, 2015, p. 92.
- Hiremath, S. R., Kumara, S. A. and Prathapan, K. D., First report of the mango fruit borer, Citripestis eutraphera (Meyrick) (Lepidoptera: Pyralidae) as a seedling borer of cashew, Anacardium occidentale L. (Anacardiaceae). J. Lepid. Soc., 2017, 71(2), 115– 116.
- Robinson, G. S., Ackery, P. R., Kitching, I. J., Beccaloni, G. W. and Hernández, L. M., HOSTS – a database of the world’s lepidopteran host plants. Natural History Museum, London, 2010; http://www.nhm.ac.uk/hosts (accessed on 17 August 2016).
- Kalshoven, L. G. E., Pests of Crops in Indonesia, Ichtiar Baru, W. Van Hoeve, Jakarta, 1981, p. 701.
- Kumar, S. et al., Evidence of niche shift and global invasion potential of the Tawny Crazy ant, Nylanderia fulva. Ecol. Evol., 2015, 5(20), 4268–4641.
- Bentlage, B., Peterson, A. T., Barve, N. and Cartwright, P., Plumbing the depths: extending ecological niche modelling and species distribution modelling in three dimensions. Global. Ecol. Biogeogr., 2013, 22(8), 952–961.
- Kumar, S., Graham, J., West, A. M. and Evangelista, P. H., Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India. Comput. Electron. Agric., 2014, 103, 55–62.
- Evangelista, P. H., Kumar, S., Stohlgren, T. J. and Young, N. E., Assessing forest vulnerability and the potential distribution of pine beetles under current and future climate scenarios in the Interior West of the US. For. Ecol. Manage., 2011, 262(3), 307–316.
- Fand, B. B., Kumar, M. and Kamble, A. L., Predicting the potential geographic distribution of cotton mealybug Phenacoccus solenopsis in India based on MaxEnt ecological niche model. J. Environ. Biol., 2014, 35(5), 973–982.
- Wei, J., Zhang, H., Zhao, W. and Zhao, Q., Niche shifts and the potential distribution of Phenacoccus solenopsis (Hemiptera: Pseudococcidae) under climate change. PLoS ONE, 2017, 12(7), e0180913.
- Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G. and Jarvis A., Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol., 2005, 25(15), 195–204.
- Warren, D. L., Glor, R. E. and Turelli, M., ENMTools: a toolbox for comparative studies of environmental niche models. Ecography, 2010, 33(3), 607–611.
- Moss, R. H. et al., The next generation of scenarios for climate change research and assessment. Nature, 2010, 463(7282), 747–756.
- Phillips, S. J., Anderson, R. P. and Schapire, R. E., Maximum entropy modeling of species geographic distributions. Ecol. Model., 2006, 190(3–4), 231–259.
- Pearson, R. G., Raxworthy, C. J., Nakamura, M. and Peterson, A. T., Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. J. Biogeogr., 2007, 34(1), 102–117.
- Kumar, S. and Stohlgren, T. J., Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia. J. Ecol. Nat. Environ., 2009, 1(4), 94–98.
- Swets, J. A., Measuring the accuracy of diagnostic systems. Science, 1988, 240(4857), 1285–1293.
- Peterson, A. T., Soberon, J., Pearson, R. G., Anderson, R. P., Martinez-Meyer, E., Nakamura, M. and Araujo, M. B., Ecological Niches and Geographic Distributions, Princeton University Press, Princeton, NJ, USA, 2011, p. 328.
- Dormann, C. F. et al., Correlation and process in species distribution models: bridging a dichotomy. J. Biogeogr., 2012, 39(12), 2119–2131.
- Balocha, M. K., Bibi, F. and Jilani, M. F., Quality and shelf life of mango (Mangifera indica L.) fruit: as affected by cooling at harvest time. Sci. Hortic., 2011, 130, 642–646.
- Medlicott, A. P., Rynolds, S. B. and Thompson, A. K., Effect of temperature on ripening of mango fruit (Mangifera indica L. var. Tommy Atkins). J. Sci. Food Agric., 1986, 37, 469–474.
- Wisz, M. S. et al., The role of biotic interactions in shaping distributions and realized assemblages of species: implications for species distribution modelling. Biol. Rev., 2013, 88(1), 15–30.
- Buckley, L. B., Waaser, S. A., MacLean, H. J. and Fox, R., Does including physiology improve species distribution model predictions of responses to recent climate change? Ecology, 2011, 92(12), 2214–2221.
- Biomass production and carbon stock in Psidium guajava orchards under hot and sub-humid climate
Abstract Views :188 |
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.