Your search found 6 records
1 Prasad, N.. 2007. Privatization of water: a historical perspective. Law, Environment and Development Journal, 3(2): 217-233.
Water management ; History ; Water supply ; Sanitation ; Diseases ; Public ownership ; Private investment ; Privatization
(Location: IWMI HQ Record No: H041220)
https://vlibrary.iwmi.org/pdf/H041220.pdf

2 Nagabhatla, Nidhi; Pattnaik, C.; Senaratna Sellamuttu, Sonali; Prasad, N.; Wickramasuriya, R.; Finlayson, M. 2009. Investigation of aquaculture dynamics at a Ramsar site, using earth observation systems in conjunction with a socio-economic assessment. Lakes and Reservoirs: Research and Management, 14(4):325-336. [doi: https://doi.org/10.1111/j.1440-1770.2009.00413.x]
Aquaculture ; Dynamics ; Wetlands ; Lakes ; Ecosystems ; Mapping ; Remote sensing / India / Kolleru Lake / Andhra Pradesh
(Location: IWMI HQ Call no: e-copy only Record No: H042523)
https://vlibrary.iwmi.org/pdf/H042523.pdf
(0.37 MB)
This study presents a comprehensive site-scale analysis conducted within the global wetland inventory and mapping (GWIM) project. GWIM was developed and promoted by the International Water Management Institute (IWMI) through global partnerships to investigate wetland analyses at multiple scales. The present study investigates the complexity of an inland freshwater wetland system, presenting a conceptual framework for mapping and monitoring the dynamics of Lake Kolleru (a wetland of international importance, as defined by the Ramsar Convention), utilizing a geospatial platform. Illustrating the pace of land use changes leading to the progressive elimination of the wetland ecosystem of freshwater Lake Kolleru, this study also highlights the impacts of such changes on the socio-economic system. A comprehensive temporal analysis (1977-2007) provided a structural base to schematically analyse the dynamics of biophysical and ecological changes to the wetland by effectively using a spectrum of remote sensing data. The present status and changing trends in ecological dimensions of Lake Kolleru were illustrated, utilizing information from spatial analyses, complimented with socio-economic assessment. Attention is drawn to the potential of utilizing earth resources systems in exploring space-time interactions in freshwater ecosystems heavily modified through aquaculture interventions. Further, the spatial derivatives are meant as reference material for local authorities and decision-makers to rehabilitate the economic livelihood activities to the social community dependent on the lake ecosystem. The disseminated message emphasizes the applicability of geospatial tools to enhance the efficacy of the decision-making process by facilitating regular monitoring of ecosystem dynamics and providing updated information on wetland patterns and uses.

3 Nagabhatla, Nidhi; Wickramasuriya, R.; Prasad, N.; Finlayson, M. 2010. A multi-scale geospatial study of wetlands distribution and agricultural zones, and the case of India. Tropical Conservation Science, 3(3):344-360.
Wetlands ; Ecosystems ; Agriculture ; Cultivation ; Irrigated land ; Mapping ; GIS / India
(Location: IWMI HQ Call no: e-copy only Record No: H043503)
http://tropicalconservationscience.mongabay.com/content/v3/10-09-27_344-360_Nagabhatla_et_al.pdf
https://vlibrary.iwmi.org/pdf/H043503.pdf
(0.67 MB)
This paper highlights the global and the regional scale representation of wetlands ecosystems using geospatial tools and multiple data sets. At global scale, the Ramsar database is investigated for representation of the wetlands sites of international importance against the “global agricultural zones” derived from the thematic aggregation of Global Irrigated Area Map databases. The analysis of “Ramsar sites” under cultivation reflects the present trend in wetlands use for agriculture. The scenario is also compared with the historical pattern derived from Vavilov’s food zones of 1926. Observed is an aggregate increase in cropped wetlands area from 25% (1926) to 43% (2006). The second component develops a regional partnership with Salim Ali Centre for Ornithology and Natural History in India. The partnership reviews the thematic national database of inland wetlands and “priority wetlands habitats” (PWH) in comparison with the bio-geographic and agro-ecological factors (regions/sub-regions) and by means of geographical information system (GIS) tools. We elaborate the strength of spatial tools to better understand the relationship between wetlands distribution and agricultural zones, both historically and at the present time. The disseminated message states, though from a technical perspective, the understanding of scale and resolution in combining information from diverse sources is essential; the effective implementation of spatial analysis requires a true cross-disciplinary approach. Complementing that, relevant policy support and appropriate institutional arrangements are fundamental to advance the management work required for unification of wetlands conservation with the existing challenges of food and livelihood security.

4 Senaratna Sellamuttu, Sonali; de Silva, Sanjiv; Nagabhatla, N.; Finlayson, C. M.; Pattanaik, C.; Prasad, N.. 2012. The Ramsar Convention’s wise use concept in theory and practice: an inter-disciplinary investigation of practice in Kolleru Lake, India. Journal of International Wildlife Law and Policy, 15(3-4):228-250. [doi: https://doi.org/10.1080/13880292.2012.749138]
Lakes ; Wetlands ; Poverty ; Living standards ; Case studies ; Policy ; Land use ; Land cover ; Agriculture ; Aquaculture ; Socioeconomic environment / India / Andhra Pradesh / Kolleru Lake
(Location: IWMI HQ Call no: e-copy only Record No: H045521)
https://vlibrary.iwmi.org/pdf/H045521.pdf
(0.32 MB)

5 Roy, P. S.; Behera, M. D.; Murthy, M. S. R.; Roy, A.; Singh, S.; Kushwaha, S. P. S.; Jha, C. S.; Sudhakar, S.; Joshi, P. K.; Reddy, S.; Gupta, S.; Pujar, G.; Dutt, C. B. S.; Srivastava, V. K.; Porwal, M. C.; Tripathi, P.; Singh, J. S.; Chitale, V.; Skidmore, A. K.; Rajshekhar, G.; Kushwaha, D.; Karnatak, H.; Saran, S.; Amarnath, Giriraj; Padalia, H.; Kale, M.; Nandy, S.; Jeganathan, C.; Singh, C. P.; Biradar, C. M.; Pattanaik, C.; Singh, D. K.; Devagiri, G. M.; Talukdar, G.; Panigrahy, R. K.; Singh, H.; Sharma, J. R.; Haridasan, K.; Trivedi, S.; Singh, K. P.; Kannan, L.; Daniel, M.; Misra, M. K.; Niphadkar, M.; Nagabhatla, N.; Prasad, N.; Tripathi, O. P.; Prasad, P. R. C.; Dash, P.; Qureshi, Q.; Tripathi, S. K.; Ramesh, B. R.; Gowda, B.; Tomar, S.; Romshoo, S.; Giriraj, S.; Ravan, S. A.; Behera, S. K.; Paul, S.; Das, A. K.; Ranganath, B. K.; Singh, T. P.; Sahu, T. R.; Shankar, U.; Menon, A. R. R.; Srivastava, G.; Sharma, N. S.; Mohapatra, U. B.; Peddi, A.; Rashid, H.; Salroo, I.; Krishna, P. H.; Hajra, P. K.; Vergheese, A. O.; Matin, S.; Chaudhary, S. A.; Ghosh, S.; Lakshmi, U.; Rawat, D.; Ambastha, K.; Malik, A. H.; Devi, B. S. S.; Gowda, B.; Sharma, K. C.; Mukharjee, P.; Sharma, A.; Davidar, P.; Raju, R. R. V.; Katewa, S. S.; Kant, S.; Raju, V. S.; Uniyal, B. P.; Debnath, B.; Rout, D. K.; Thapa, R.; Joseph, S.; Chhetri, P.; Ramachandran, R. M. 2015. New vegetation type map of India prepared using satellite remote sensing: comparison with global vegetation maps and utilities. International Journal of Applied Earth Observation and Geoinformation, 39:142-159. [doi: https://doi.org/10.1016/j.jag.2015.03.003]
Satellite imagery ; Remote sensing ; Vegetation ; Climate change ; Temperature ; Precipitation ; Scrublands ; Grasslands ; Ecology ; Global positioning systems ; Land cover ; Assessment ; Cultivation / India
(Location: IWMI HQ Call no: e-copy only Record No: H047008)
https://vlibrary.iwmi.org/pdf/H047008.pdf
(2.48 MB)
A seamless vegetation type map of India (scale 1: 50,000) prepared using medium-resolution IRS LISS-III images is presented. The map was created using an on-screen visual interpretation technique and has an accuracy of 90%, as assessed using 15,565 ground control points. India has hitherto been using potential vegetation/forest type map prepared by Champion and Seth in 1968. We characterized and mapped further the vegetation type distribution in the country in terms of occurrence and distribution, area occupancy, percentage of protected area (PA) covered by each vegetation type, range of elevation, mean annual temperature and precipitation over the past 100 years. A remote sensing-amenable hierarchical classification scheme that accommodates natural and semi-natural systems was conceptualized, and the natural vegetation was classified into forests, scrub/shrub lands and grasslands on the basis of extent of vegetation cover. We discuss the distribution and potential utility of the vegetation type map in a broad range of ecological, climatic and conservation applications from global, national and local perspectives. Weused 15,565 ground control points to assess the accuracy of products available globally (i.e., GlobCover, Holdridge’s life zone map and potential natural vegetation (PNV) maps). Hence we recommend that the map prepared herein be used widely. This vegetation type map is the most comprehensive one developed for India so far. It was prepared using 23.5m seasonal satellite remote sensing data, field samples and information relating to the biogeography, climate and soil. The digital map is now available through a web portal (http://bis.iirs.gov.in).

6 Mehar, M.; Mittal, S.; Prasad, N.. 2016. Farmers coping strategies for climate shock: is it differentiated by gender? Journal of Rural Studies, 44:123-131. [doi: https://doi.org/10.1016/j.jrurstud.2016.01.001]
Climate change adaptation ; Farmers ; Gender ; Decision making ; Strategies ; Models ; Drought ; Flooding ; Agricultural production ; Socioeconomic environment ; Household food security ; Villages / India / Bihar / Vaishali
(Location: IWMI HQ Call no: e-copy only Record No: H047494)
https://vlibrary.iwmi.org/pdf/H047494.pdf
(0.66 MB)
Several studies have recognized that the agriculture sector is one of the major contributor to climate change, as well as largely affected adversely by climate change. Agricultural productivity is known to be sensitive to climate change induced effects and it has impact on livelihood of families linked with farming. Thus it is important to understand what are the existing coping strategies that farmer deploy in case of climate shocks like flood and drought and who is involved in making decision relating to these coping strategies. This paper uses the household level data of 641 households from 12 randomly selected villages in Vaishali district of Bihar to understand the household coping mechanisms with emphasis on role of gender. This study has moved away from the conventional division of households by male and female-headed households and thus capturing the intra-household gender dynamics by understanding the role of men and women within the household as decision makers of the coping strategy to manage climate shock. The study uses a multivariate probit model and the results suggest that there is a higher probability that the male farmers will make the decision on choice of the coping strategy. The most prominent coping mechanism is to find alternative employment in urban locations; however, when consumption levels have to be reduced because of climate shock, all family members then contribute to the decision-making process collectively. The results show that exposure to agriculture extension and training programs have a positive influence on choosing appropriate coping mechanisms, but female farmers have poor access to these resources. These policies should look into providing outreach to both male and female farmers in any given locality.

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