Your search found 15 records
1 Khan, H. W.; Shah, M.. Small farmers manual of rural development. Gilgit, Pakistan: Aga Khan Rural Support Programme. viii, 451p.
(Location: IWMI-HQ Call no: 630.7 G730 KHA Record No: H06504)
2 Pimbert, M.; Gujja, B.; Shah, M.. 1996. Village voices challenging wetland management policies: PRA experiences from Pakistan and India. In IIED Sustainable Agriculture Programme, Participation, policy and institutionalisation. London, UK: IIED. pp.37-41.
(Location: IWMI-HQ Call no: P 4354 Record No: H019396)
3 Shah, M.; Strong, M. 1999. Food in the 21st century: from science to sustainable agriculture. Washington, DC, USA: CGIAR. 72p.
(Location: IWMI HQ Call no: 338.1 G000 SHA Record No: H025407)
(2.50 MB)
4 Gupta, S. K.; Shah, M.. 2001. Akshaydhara: An urban solution? – By treating domestic wastewater and injecting runoff into underground aquifers, the Akshaydhara model seeks to address the twin problems of water scarcity and domestic wastewater disposal in urban areas. In Agarwal, A.; Narain, S.; Khurana, I. (Eds.), Making water everybody’s business: Practice and policy of water harvesting. New Delhi, India: Centre for Science and Environment. pp.264-270.
(Location: IWMI-HQ Call no: 333.91 G635 AGA Record No: H030656)
5 Shah, M.. 2001. Participatory watershed development: An institutional framework – Panchayati raj institutions offer a platform for devolution of power and community empowerment. In Agarwal, A.; Narain, S.; Khurana, I. (Eds.), Making water everybody’s business: Practice and policy of water harvesting. New Delhi, India: Centre for Science and Environment. pp.319-328.
(Location: IWMI-HQ Call no: 333.91 G635 AGA Record No: H030665)
6 Fischer, G.; van Velthuizen, H.; Shah, M.; Nachtergaele, F. 2002. Global Agro-ecological assessment for agriculture in the 21st century: Methodology and results. Laxenburg, Austria; Rome, Italy: International Institute for Applied Systems Analysis; FAO. xxi, 119p. + CD. (IIASA research report RR-02-02)
(Location: IWMI-HQ Call no: 630 G000 FIS Record No: H030815)
(Location: IWMI HQ Call no: 630 G000 FIS Record No: H041457)
This report presents a summary of the methodology and results and a comprehensive global assessment of the world’s agricultural ecology. The national-level information with global coverage enables knowledge-based decisions for sustainable agricultural development. The Agro-ecological Zones approach is a GIS-based modeling framework that combines land evaluation methods with socioeconomic and multiple-criteria analysis to evaluate spatial and dynamic aspects of agriculture. The results of the Global AEZ assessment are estimated by grid cell and aggregated to national, regional, and global levels. They include identification of areas with specific climate, soil, and terrain constraints to crop production; estimation of the extent and productivity of rain-fed and irrigated cultivable land and potential for expansion; quantification of cultivation potential of land currently in forest ecosystems; and impacts of climate change on food production, geographical shifts of cultivable land, and implications for food security.
8 Fischer, G.; Hizsnyik, E.; Prieler, S.; Shah, M.; van Velthuizen, H. 2009. Biofuels and food security: implications of an accelerated biofuels production - Summary of the OFID study prepared by IIASA. Vienna, Austria: The OPEC Fund for International Development (OFID). 40p. (OFID Pamphlet Series 38)
(Location: IWMI HQ Call no: 338.19 G000 FIS Record No: H043833)
(3.02 MB) (3.02MB)
(Location: IWMI HQ Call no: 338.19 G000 FIS Record No: H043991)
(14.22 MB)
10 Rockstrom, J.; Williams, J.; Daily, G.; Noble, A.; Matthews, N.; Gordon, L.; Wetterstrand, H.; DeClerck, F.; Shah, M.; Steduto, P.; de Fraiture, C.; Hatibu, N.; Unver, O.; Bird, Jeremy; Sibanda, L.; Smith, J. 2017. Sustainable intensification of agriculture for human prosperity and global sustainability. Ambio, 46(1):4-17. [doi: https://doi.org/10.1007/s13280-016-0793-6]
(Location: IWMI HQ Call no: e-copy only Record No: H047656)
(1.93 MB)
There is an ongoing debate on what constitutes sustainable intensification of agriculture (SIA). In this paper, we propose that a paradigm for sustainable intensification can be defined and translated into an operational framework for agricultural development. We argue that this paradigm must now be defined—at all scales—in the context of rapidly rising global environmental changes in the Anthropocene, while focusing on eradicating poverty and hunger and contributing to human wellbeing. The criteria and approach we propose, for a paradigm shift towards sustainable intensification of agriculture, integrates the dual and interdependent goals of using sustainable practices to meet rising human needs while contributing to resilience and sustainability of landscapes, the biosphere, and the Earth system. Both of these, in turn, are required to sustain the future viability of agriculture. This paradigm shift aims at repositioning world agriculture from its current role as the world’s single largest driver of global environmental change, to becoming a key contributor of a global transition to a sustainable world within a safe operating space on Earth.
11 Shah, M.; Vijayshankar, P. S. (Eds.) 2016. Water: growing understanding, emerging perspectives. New Delhi, India: Orient BlackSwan. 559p. (Readings on the Economy, Polity and Society)
(Location: IWMI HQ Call no: 333.91 G635 SHA Record No: H047744)
(0.38 MB)
12 Sakthivadivel, R.; Shah, M.. 2018. Will Kudimaramathu make communities think tanks again?: a study of tanks in transit, coping mechanism of communities and government action. IWMI-Tata Water Policy Research Highlight, 6. 8p.
(Location: IWMI HQ Call no: e-copy only Record No: H049084)
(490 KB)
13 Shah, M.; Chowdhury, S. D.; Shah, Tushaar. 2018. Pro-poor farm power policy for West Bengal – III: results of ITP’s Monoharpur experiment. IWMI-Tata Water Policy Research Highlight, 5. 8p.
(Location: IWMI HQ Call no: e-copy only Record No: H049098)
(567 KB)
14 Shah, M.. 2018. Reforming India’s water governance to meet 21st century challenges: practical pathways to realizing the vision of the Mihir Shah Committee. Colombo, Sri Lanka: International Water Management Institute (IWMI). 22p. (IWMI-Tata Water Policy Program Discussion Paper 1) [doi: https://doi.org/10.5337/2019.001]
(Location: IWMI HQ Call no: e-copy only Record No: H049192)
(1.27 MB)
15 de Oliveira-Junior, J. F.; Shah, M.; Abbas, A.; Iqbal, M. Shahid; Shahzad, R.; de Gois, G.; da Silva, M. V.; da Rosa Ferraz Jardim, A. M.; de Souza, A. 2022. Spatiotemporal analysis of drought and rainfall in Pakistan via Standardized Precipitation Index: homogeneous regions, trend, wavelet, and influence of El Nino-Southern Oscillation. Theoretical and Applied Climatology, 149(1-2):843-862. [doi: https://doi.org/10.1007/s00704-022-04082-9]
(Location: IWMI HQ Call no: e-copy only Record No: H051166)
(3.26 MB)
The phenomenon of drought is common in the world, especially in Pakistan. El Niño-Southern Oscillation (ENSO) influences the spatial and temporal variability of drought and rainfall in Pakistan. Therefore, the objectives of this study are to identify homogeneous rainfall regions and their trend regions, as well as the impact of ENSO phases. In this study, monthly rainfall data from 44 weather stations are used during 1980–2019. Moreover, descriptive and exploratory statistics tests (e.g., Pettitt and Mann-Kendall—MK), Sen method, and cluster analysis (CA) are evaluated along with the annual Standardized Precipitation Index (SPI) on spatiotemporal scales. ENSO occurrences were classified based on the Oceanic Nino Index (ONI) for region 3.4. Using the cophenetic correlation coefficient (CCC) and a significance level of 5%, seven methods were applied to the rainfall series, with the complete method (CCC > 0.9082) being the best. According to the CA method, Pakistan has four groups of homogeneous rainfall (G1, G2, G3, and G4). Descriptive and exploratory statistics showed that G1 differs from the other groups in size and spatial distribution. Pettitt’s technique identified the most extreme El Niño years in terms of spatial and temporal drought variability, along with the wettest months (March, August, September, June, and December) in Pakistan. Non-significant increases in Pakistan’s annual precipitation were identified via the MK test, with exceptions in the southern and northern regions, respectively. No significant increase in rainfall in Pakistan was found using the Sen method, especially in regions G2, G3, and G4. The severity of the drought in Pakistan is intensified by El Niño events, which demand attention from public managers in the management of water resources, agriculture, and the country’s economy.
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