Your search found 11 records
1 Maithani, B. P. 1988. Strategy for rural development in the north-eastern region. Journal of Rural Development, 7(2):193-212.
Rural development ; Economic aspects / India / Arunachal Pradesh / Assam / Meghalaya / Mizoram / Manipur / Nagaland / Tripura
(Location: IWMI-HQ Call no: PER Record No: H04972)
2 Upadhyay, N. 1998. Institutional role on shared resource management: Case study of NISHIS Tribe of Papum Pare District, Arunachal Pradesh. Research paper presented at International Workshop on Shared Resource Management in South Asia: The Next Step, conducted by Institute of Rural Management Anand, India, 17-19 February, 1998. 7p.
Natural resources ; Resource management ; Social participation ; Community development ; Conflict ; Forests ; Models ; Villages ; Case studies / India / Arunachal Pradesh / Papum Pare District
(Location: IWMI-HQ Call no: P 4779 Record No: H022136)
3 Sharma, U. C.; Prasad, R. N.; Sonowal, D. K. 1998. An indigenous technique of soil and water conservation in North Eastern Region: The Zabo system of farming. In Bhushan, L. S.; Abrol, I. P.; Rao, M. S. R. M. (Eds.), Soil and water conservation: Challenges and opportunities - Volume 2. New Delhi, India: Oxford & IBH Publishing Co. Pvt. Ltd. pp.969-975.
Soil conservation ; Water conservation ; Traditional farming ; Farming systems ; Land management ; Water harvesting ; Rice ; Soil fertility / India / Arunachal Pradesh / Assam / Manipur / Meghalaya / Mizoram / Nagaland / Tripura
(Location: IWMI-HQ Call no: 631.4 G000 BHU Record No: H022742)
4 Acharya, S. S.; Singh, S.; Sagar, V. (Eds.) 2002. Sustainable agriculture, poverty and food security: agenda for Asian economies. Volume 2. New Delhi, India: Rawat Publications. xviii, 430p.
Sustainable agriculture ; Food security ; Poverty ; Nutrition ; Households ; Agricultural development ; Risks ; Credit ; Constraints ; Employment ; Gender ; Income distribution ; Institutions ; Price policy ; Rice ; Wheat ; Cropping systems ; Environmental sustainability / Asia / India / Bangladesh / China / Indonesia / Vietnam / Pakistan / Korea Republic / Bhutan / North-West Frontier Province / Punjab / Haryana / Arunachal Pradesh
(Location: IWMI-HQ Call no: 338.19 G570 ACH Record No: H030862)
5 Singh, K. A. 2003. Tribals wisdom: A sustainable rice cultivation Arunachal Pradesh. Indian Farming, 52(10):21-25.
Rice ; Wetlands ; Farming systems ; Irrigated farming ; Productivity ; Sustainability / India / Arunachal Pradesh
(Location: IWMI-HQ Call no: P 6336 Record No: H032311)
6 Hazarika, M. 2008. Feasibility of drip irrigation in the orchards of North Eastern hilly states. In Kumar, M. Dinesh (Ed.). Managing water in the face of growing scarcity, inequity and declining returns: exploring fresh approaches. Proceedings of the 7th Annual Partners Meet, IWMI TATA Water Policy Research Program, ICRISAT, Patancheru, Hyderabad, India, 2-4 April 2008. Vol.1. Hyderabad, India: International Water Management Institute (IWMI), South Asia Sub Regional Office. pp.98-107.
Drip irrigation ; Kiwifruits ; Orchards ; Water requirements ; Irrigation requirements ; Water use efficiency ; Economic aspects ; Marketing / India / Arunachal Pradesh
(Location: IWMI HQ Call no: IWMI 631.7 G635 KUM Record No: H042348)
(0.03 MB)
7 Raman, S. 2012. Potential of micro-irrigation in India: a statewise assessment. In Palanisami, Kuppannan; Raman, S.; Mohan, Kadiri (Eds.). Micro-irrigation: economics and outreach. New Delhi, India: Macmillan. pp.11-26.
Irrigation methods ; Microirrigation ; Sprinkler irrigation ; Drip irrigation ; Irrigated sites ; Crops / India / Andhra Pradesh / Arunachal Pradesh / Assam / Bihar / Chhattisgarh / Goa / Gujarat / Haryana / Himachal Pradesh / Jammu / Kashmir / Jharkhand / Karnataka / Kerala / Madhya Pradesh / Maharashtra / Manipur / Meghalaya / Mizoram / Nagaland / Orissa / Punjab / Rajasthan / Sikkim / Tamil Nadu / Tripura / Uttar Pradesh / Uttarakhand / West Bengal / Delhi
(Location: IWMI HQ Call no: IWMI Record No: H044864)
8 Sahoo, B.; Bhatt, B. P. 2013. Multiple water use system for sustainable agriculture in the north-eastern hilly regions of India. In Palanisami, Kuppannan; Sharda, V. N.; Singh, D. V. (Eds.). Water management in the hill regions: evidence from field studies. [Outcome of the IWMI and ICAR Workshop organized by IWMI-TATA Water Policy Research Program]. New Delhi, India: Bloomsbury Publishing India. pp.126-159.
Water resources ; Water harvesting ; Tanks ; Technology ; Costs ; Water use ; Multiple use ; Highlands ; Rain ; Crop production ; Irrigation methods ; Irrigation systems / India / Arunachal Pradesh / Nagaland
(Location: IWMI HQ Call no: 333.91 G635 PAL Record No: H045732)
9 Maiti, S.; Jha, S. K.; Garai, S.; Nag, A.; Bera, A. K.; Paul, V.; Upadhaya, R. C.; Deb, S. M. 2017. An assessment of social vulnerability to climate change among the districts of Arunachal Pradesh, India. Ecological Indicators, 77:105-113. [doi: https://doi.org/10.1016/j.ecolind.2017.02.006]
Climate change adaptation ; Risk assessment ; Indicators ; Households ; Socioeconomic environment ; Human capital ; Social capital ; Natural capital ; Financing / India / Eastern Himalaya / Arunachal Pradesh
(Location: IWMI HQ Call no: e-copy only Record No: H048596)
(0.99 MB)
The present study highlighted the state of climate change induced social vulnerability of the districts of Arunachal Pradesh. For the purpose of assessment of one of the most fragile ecosystems of the eastern Himalaya, the ‘Integrated Vulnerability Assessment Approach’ and IPCC’s definition of vulnerability were utilized. The assessment was based on various secondary data, like socio-economic and biophysical indicators, collected from several authenticated sources; and the respective weightage of these indicators was assigned by using ‘Principal Component Analysis’. Vulnerability was calculated as the net effect of exposure and sensitivity on the adaptive capacity. Anjaw district of eastern Arunachal Pradesh was found to be the most vulnerable district, while Tawang district of western Arunachal Pradesh happened to be the least vulnerable. This net effect was found negative in 7 out of 12 districts viz. Anjaw, Upper Siang, West Siang, Lower Dibang Valley, East Siang, East Kameng and Kurung Kurmey. This net negative effect could be construed as an alarming situation.
10 Vij, S.; Warner, J. F.; Biesbroek, R.; Groot, A. 2020. Non-decisions are also decisions: power interplay between Bangladesh and India over the Brahmaputra River. Water International, 45(4):254-274. (Special issue: Power in Water Diplomacy) [doi: https://doi.org/10.1080/02508060.2018.1554767]
International waters ; Water resources ; River basins ; Decision making ; Political aspects ; International cooperation ; Hydropower ; Climate change adaptation ; Conflict ; Negotiation ; Treaties / India / Bangladesh / Brahmaputra River / Arunachal Pradesh / Assam
(Location: IWMI HQ Call no: e-copy only Record No: H049843)
https://www.tandfonline.com/doi/abs/10.1080/02508060.2018.1554767?needAccess=true#aHR0cHM6Ly93d3cudGFuZGZvbmxpbmUuY29tL2RvaS9wZGYvMTAuMTA4MC8wMjUwODA2MC4yMDE4LjE1NTQ3Njc/bmVlZEFjY2Vzcz10cnVlQEBAMA==
https://vlibrary.iwmi.org/pdf/H049843.pdf
https://vlibrary.iwmi.org/pdf/H049843.pdf
(2.35 MB) (2.35 MB)
This article shows how Bangladesh and India intentionally maintain the status quo for the Brahmaputra River at the transboundary level, using material and ideational resources. Results show that India wants to reduce its hegemonic vulnerabilities and Bangladesh aims to maintain its control over the Brahmaputra river, simultaneously building its technical and negotiation skills. We conclude that the underlying processes of maintaining the status quo can be comprehended as ‘non-decision making’. The analysis presented will help policy actors to push towards a forward-looking climate change adaptation planning for the Brahmaputra River.
11 Bordoloi, R.; Das, B.; Tripathi, O. P.; Sahoo, U. K.; Nath, A. J.; Deb, S.; Das, D. J.; Gupta, A.; Devi, N. B.; Charturvedi, S. S.; Tiwari, B. K.; Paul, A.; Tajo, L. 2022. Satellite based integrated approaches to modelling spatial carbon stock and carbon sequestration potential of different land uses of Northeast India. Environmental and Sustainability Indicators, 13:100166. [doi: https://doi.org/10.1016/j.indic.2021.100166]
Carbon sequestration ; Carbon stock assessments ; Land use ; Land cover ; Satellite imagery ; Landsat ; Vegetation index ; Regression analysis ; Biomass ; Climate change mitigation ; Forest cover ; Remote sensing ; Modelling ; Simulation / India / Arunachal Pradesh / Assam / Manipur / Meghalaya / Mizoram / Nagaland / Sikkim / Tripura
(Location: IWMI HQ Call no: e-copy only Record No: H050887)
https://www.sciencedirect.com/science/article/pii/S2665972721000672/pdfft?md5=2b0c924ff6ef3156dbcfe3c57e940f61&pid=1-s2.0-S2665972721000672-main.pdf
https://vlibrary.iwmi.org/pdf/H050887.pdf
https://vlibrary.iwmi.org/pdf/H050887.pdf
(4.25 MB) (4.25 MB)
The study aims to estimate and predict the aboveground biomass, carbon stock and carbon sequestration potential of different land uses of Northeast India and relate these estimates with the land use changes. Many applications such as carbon stock and sequestration monitoring, forest degradation monitoring, and climate change mitigation, require precise and timely estimation of forest biomass. Although traditional field inventory can reliably estimate forest biomass, remote sensing is emerging as an alternate and fast approach to cover larger area with relative precision for biomass estimation. In this study, a combined approach of field inventory and Landsat OLI derived vegetation indices were used in spatial modelling of aboveground biomass and carbon stock in different land uses. A stepwise multilinear regression algorithm was used to derive the model that used Landsat derived NDVI, SAVI and ARVI as predicators. The predicted AGB ranged from 14.32 to 185.95 Mg ha-1 with an average of 148.78 Mg ha-1. The developed model that used combined vegetation indices showed correlation of R2 = 0.79 with an RMSE of 51.04 Mg ha-1. The present study also applied the empirical model (CO2FIX) to simulate the future scenario of carbon stock and carbon sequestration potential of the different land uses. The carbon stock potential of different land uses were 182.31 Mg ha-1, 158.91 Mg ha-1, 134.98 Mg ha-1, 169.26 Mg ha-1, 133.84, 89.95 Mg ha-1, 128.3 Mg ha-1 and 61.36 Mg ha-1 in Tropical forest, Subtropical forest, Temperate forest, Tropical plantation, Subtropical plantation, Temperate plantation, Shifting fallows and Agricultural land, respectively.
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