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Dhyani, S. K.
- National Agroforestry Policy 2014 and the need for area estimation under agroforestry
Abstract Views :363 |
PDF Views:103
Authors
Affiliations
1 National Research Centre for Agroforestry (ICAR), Gwalior Road, Near Pahuj Dam, Jhansi 284 003, IN
1 National Research Centre for Agroforestry (ICAR), Gwalior Road, Near Pahuj Dam, Jhansi 284 003, IN
Source
Current Science, Vol 107, No 1 (2014), Pagination: 9-10Abstract
No Abstract.- National Agroforestry Policy in India:A Low Hanging Fruit
Abstract Views :324 |
PDF Views:87
Authors
Affiliations
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
2 ICAR-Central Arid Zone Research Institute, RRS, Pali-Marwar 306 401, IN
1 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
2 ICAR-Central Arid Zone Research Institute, RRS, Pali-Marwar 306 401, IN
Source
Current Science, Vol 108, No 10 (2015), Pagination: 1826-1834Abstract
Since ages agroforestry has been known as a traditional land-use system in India. The multivarious benefits and services generated are recognized as a tool to improve the livelihood status of farmers. Commercial agroforestry gained momentum in the regions where it got support from industry and assured market facilities. However, lack of policy initiatives and strict trade regulations has not supported wide adoption of agroforestry. Though prominent agroforestry models are being developed in different parts of the country, there is no clear-cut mechanism from seed procurement to marketing of the products. In this context, the National Agroforestry Policy, 2014 came in limelight to address the issues of quality planting material, tree insurance, restrictions on transit and harvesting, marketing of agroforestry produce, research and extension. This article links highlights of the policy to existing successful ground-level schemes and the challenges to focus on agroforestry not only as a successful land-use system, but also to utilize its full potential in the economic development of the country.Keywords
Agroforestry Policy, Public Private Partnership, Sustainability, Tree Insurance.- Quantification of Carbon Stocks and Sequestration Potential through Existing Agroforestry Systems in the Hilly Kupwara District of Kashmir Valley in India
Abstract Views :263 |
PDF Views:86
Authors
Ajit
1,
A. K. Handa
2,
S. K. Dhyani
3,
G. M. Bhat
4,
A. R. Malik
4,
V. Dutt
4,
T. H. Masoodi
4,
Uma
1,
Amit Jain
2
Affiliations
1 ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi 110 012, IN
2 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
3 NRM-Division, ICAR, KAB-II, Pusa, New Delhi 110 012, IN
4 Camp-Wadura, Sher-e-Kashmir University of Agricultural Sciences and Technology, Srinagar 190 025, IN
1 ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, Pusa, New Delhi 110 012, IN
2 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
3 NRM-Division, ICAR, KAB-II, Pusa, New Delhi 110 012, IN
4 Camp-Wadura, Sher-e-Kashmir University of Agricultural Sciences and Technology, Srinagar 190 025, IN
Source
Current Science, Vol 113, No 04 (2017), Pagination: 782-785Abstract
The dynamic carbon accounting model CO2FIX was used for evaluating carbon stocks and estimate greenhouse gas mitigation through tree-based systems, outside the forest area, in Kupwara district of Kashmir valley India. Primary survey results revealed that on an average, there were about 135 trees per hectare, existing on farmers' field. Malus (33.75%), populus (29.91%), salix (14.32%), juglans (6.68%) and robinia (4.7%) were dominant tree species. Paddy and maize are the dominant kharif crops, whereas rabi season is dominated by oilseeds and fodder crops. The carbon sequestration potential, all the three pools simultaneously (viz. tree, crop and soil), of existing agroforestry systems (AFS) has been predicted as 0.88 Mg C ha-1 yr-1. AFS at district level are estimated to sequester 146,996 tonnes of CO2 equivalent annually, which may offset completely the greenhouse gas emissions from agriculture/irrigation sector on account of electricity consumption throughout the state of Jammu and Kashmir.Keywords
Agroforestry Systems, Carbon Sequestration Potential, GHG Mitigation, Soil Carbon, Tree Biomass.References
- Albrecht, A. and Kandji, S. T., Carbon sequestration in tropical agroforestry systems. Agric. Ecosys. Environ., 2003, 99, 15–27.
- Rao, K. P. C., Verchot, L. V. and Laarman, J., Adaptation to climate change through sustainable management and development of agroforestry systems. SAT eJournal, 2007, 4, 1–30.
- Sheikh, A. Q., Skinder, B. M., Pandit, A. K. and Ganai, B. A., Terrestrial carbon sequestration as a climate change mitigation activity. J. Pollut. Effects Control, 2014, 2, 110; doi:10.4172/jpe.1000110.
- Calfapietra, C., Gielen, B., Karnosky, D., Ceulemans, R. and Mugnozza, G. S., Response and potential of agroforestry crops under global change. Environ. Pollut., 2010, 158, 1095–1104.
- Wani, N. R. and Qaisar, K. N., Carbon per cent in different components of tree species and soil organic carbon pool under these tree species in Kashmir valley. Curr. World Environ., 2014, 9(1), 174–181; http://dx.doi.org/10.12944/CWE.9.1.24.
- Wani, N. R., Qaisar, K. N. and Khan, P. A., Growth performance, biomass production and carbon stocks of 19 year old Fraxinus floribunda (ash tree) plantations in Kashmir valley. Agric. Forest., 2014, 60(1), 125–143.
- Wani, N. R., Qaisar, K. N. and Khan, P. A., Biomass, carbon stocks and carbon dioxide mitigation potential of Cedrus deodara under temperate conditions of Kashmir. Can. J. Pure Appl. Sci., 2014, 8(1), 2677–2684.
- Nabuurs, G. J. and Schelhaas, M. J., Carbon profile of typical forest types across Europe assessed with CO2FIX. Ecol. Indicators, 2002, 1, 213–233.
- Masera, O. et al., Modelling carbon sequestration in afforestation, agroforestry and forest management projects: the CO2FIX V.2 approach. Ecol. Model, 2003, 164, 177–199.
- Schelhaas, M. J. et al., CO2FIX V 3.1 – a modelling framework for quantifying carbon sequestration in forest ecosystems. ALTERRA Report 1068, Wageningen, The Netherlands, 2004.
- Gaboury, S., Boucher, J. F., Villeneuve, C., Lord, D. and Gagnon, R., Estimating the net carbon balance boreal open woodland afforestation: a case study in Quebec’s closed crown boreal forest. Forest Ecol. Manage., 2009, 257, 483–494.
- Kaul, M., Mohren, G. M. J. and Dadhwal, V. K., Carbon storage and sequestration potential of selected tree species in India. Mitig. Adapt. Strateg. Global Change, 2010, 15, 489–510.
- Ajit, et al., Modelling analysis of potential carbon sequestration under existing agroforestry systems in three districts of IndoGangetic plains in India. Agroforest. Syst., 2013, 87, 1129–1146.
- Ajit, et al., Estimating carbon sequestration potential of existing agroforestry systems in India. Agroforest Syst., 2016, 1–20; doi: 10.1007/s10457-016-9986-z (published online 12 August 2016).
- Liski, J., Palosuo, T., Peltoniemi, M. and Sievanen, R., Carbon and decomposition model YASOO for forest soils. Ecol. Model, 2005, 189, 168–182.
- Dar, J. A. and Sundarapandian, S., Variation of biomass and carbon pools with forest type in temperate forests of Kashmir Himalaya, India. Environ. Monitor. Assess., 2015, 87(2), 55; doi: 10.1007/s10661-015-4299-7.
- Jana, B. K., Biswas, S., Majumder, M., Roy, P. K. and Mazumdar, A., Carbon sequestration rate and above ground biomass carbon potential of four young species. J. Ecol. Natural Environ., 2009, 1, 15–24.
- Yadava, A. K., Biomass production and carbon sequestration in different agroforestry systems in Tarai region of central Himalaya. Indian Forester, 2010, 136, 234–244.
- Mapping of Agroforestry Systems and Salix Species in Western Himalaya Agroclimatic Zone of India
Abstract Views :184 |
PDF Views:117
Authors
R. H. Rizvi
1,
R. Vishnu
2,
A. K. Handa
2,
S. Ramanan
2,
M. Yadav
2,
A. Mehdi
2,
R. K. Singh
3,
S. Londhe
3,
S. K. Dhyani
3,
J. Rizvi
3,
Punam
4,
Rameshwar Kumar
4,
Naved Qaisar
5
Affiliations
1 ICAR-CSSRI Regional Research Station, Lucknow 226 005, IN
2 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
3 World Agroforestry, South Asia Regional Programme, New Delhi 110 012, IN
4 Himachal Pradesh Krishi Vishvidyalay, Palampur 176 062, IN
5 Sher-e-Kashmir University of Agriculture and Technology, Srinagar 190 025, IN
1 ICAR-CSSRI Regional Research Station, Lucknow 226 005, IN
2 ICAR-Central Agroforestry Research Institute, Jhansi 284 003, IN
3 World Agroforestry, South Asia Regional Programme, New Delhi 110 012, IN
4 Himachal Pradesh Krishi Vishvidyalay, Palampur 176 062, IN
5 Sher-e-Kashmir University of Agriculture and Technology, Srinagar 190 025, IN
Source
Current Science, Vol 121, No 10 (2021), Pagination: 1347-1351Abstract
In the present study, agroforestry was mapped in nine districts from Western Himalayan Region. The agroforestry area in these nine selected districts was estimated to be 332127.55 ha (12.4%). Salix alba, an important agroforestry species, accounted for about 12% of total agroforestry area in three districts of Kashmir valleyKeywords
Agroclimatic Zone, Agroforestry Mapping, Object-Oriented Classification, Remote Sensing, Tree Species.References
- Bargali, S. S., Bargali, K., Singh, L., Ghosh, L. and Lakhera, M. L., Acacia nilotica based traditional agroforestry system: effect on paddy crop and management. Curr. Sci., 2009, 96, 581–587.
- Parihaar, R. S., Bargali, K. and Bargali, S. S., Status of an indigenous agroforestry system: a case study in Kumaun Himalaya. Indian J. Agric. Sci., 2015, 85, 442–447.
- Unruh, J. D. and Lefebvre, P. A., A spatial database for estimating areas for agroforestry in Sub-Saharan Africa: aggregation and use of agroforestry case studies. Agrofor. Syst., 1995, 32, 81–96.
- Pathak, P. S., Pateria, H. M. and Solanki, K. R., Agroforestry systems in India: a diagnosis and design approach. National Research Centre for Agroforestry (ICAR), New Delhi, 2000.
- Dhyani, S. K., Handa, A. K. and Uma, Area under agroforestry in India: an assessment for present status and future perspective. Indian J. Agrofor., 2013, 315(1), 1–11.
- GoI, Report of the Task Force on Greening India for Livelihood Security and Sustainable Development, Planning Commission, Government of India, 2001, p. 231.
- Zomer, R. J., Trabucco, A., Coe, R., Place, F., van Noordwijk, M. and Xu, J. C., Trees on farms: an update and reanalysis of agroforestry’s global extent and socio-ecological characteristics. Working Paper 179. World Agroforestry Centre (ICRAF) Southeast Asia Regional Programme, Bogor, Indonesia, 2014; doi:10.5716/ WP14064.pdf
- De Mers, M. N., Fundamental of Geographic Information Systems, Wiley, New York, USA, 1997, p. 486.
- Rizvi, R. H., Dhyani, S. K., Newaj, R., Saxena, A. and Karmakar, P. S., Mapping extent of agroforestry area through remote sensing: issues, estimates and methodology. Indian J. Agrofor., 2013, 15(2), 26–30.
- Rizvi, R. H., Ram Newaj, A. K., Handa, K. B., Sridhar and Anil Kumar, Agroforestry mapping in India through geospatial technologies: present status and way forward. Technical Bulletin-1/2019, ICAR-Central Agroforestry Research Institute, Jhansi, 2019, pp. 1–35.
- Rizvi, R. H., Sridhar, K. B., Handa, A. K., Singh, R. K., Dhyani, S. K., Rizvi, J. and Dongre, G., Spatial analysis of area and carbon stocks under Populus deltoides based agroforestry systems in Punjab and Haryana states of Indo-Gangetic plains. Agrofor. Syst., 2020, 94(6), 2185–2197.
- Rizvi, R. H., Newaj, R., Srivastava, S. and Yadav, M., Mapping trees on farmlands using OBIA method and high resolution satellite data: a case study of Koraput district, Odisha. In ISPRSGEOGLAMISRS International Workshop on Earth Observations for Agricultural Monitoring, IARI, New Delhi, 18–20 February 2019.
- Barrile, V. and Bilotta, G., An application of remote sensing: objectoriented analysis of satellite data. Int. Arch. Photogramm. Remote Sensing Spat. Inf. Sci., 2008, XXXVII, 107–113.
- Shah, M., Masoodi, T. H., Khan, P. A., Wani, J. A. and Mir, S. A., Vegetation analysis and carbon sequestration potential of Salix alba plantations under temperate conditions of Kashmir, India. Indian For., 2015, 141(7), 755–761.
- Rizvi, R. H., Sridhar, K. B., Handa, A. K., Chaturvedi, O. P. and Singh, M., Spectral analysis of Hyperion hyperspectral data for identification of mango (Mangifera indica) species on farmlands. Indian J. Agrofor., 2017, 19(2), 61–64.
- Blaschke, T., Lang, S. and Hay, G. J. (eds), Object Based Image Analysis, Springer, Berlin, Germany, 2008, p. 817.