Your search found 9 records
1 Miller, S. T.; Brinn, P. J.; Fry, G. J.; Harris, D.. 1994. Microtopography and agriculture in semi-arid Botswana: 1. Soil variability. Agricultural Water Management, 26(1/2):107-131.
Soil properties ; Soil moisture ; Runoff ; Arid zones ; Mapping ; Satellite surveys / Botswana
(Location: IWMI-HQ Call no: PER Record No: H015483)

2 Harris, D.; Fry, G. J.; Miller, S. T. 1994. Microtopography and agriculture in semi-arid Botswana: 2. Moisture availability, fertility and crop performance. Agricultural Water Management, 26(1/2):133-148.
Soil moisture ; Runoff ; Arid zones ; Crop yield ; Soil fertility / Botswana
(Location: IWMI-HQ Call no: PER Record No: H015484)

3 Bettner, T. L.; Samuelian, R. J.; Harris, D.. 2000. Implications of improved on-farm efficiencies to district water balances: A case study for Fresno Irrigation District. In Davids, G. G.; Anderson, S. S. (Eds.), Benchmarking irrigation system performance using water measurement and water balances: Proceedings from the 1999 USCID Water Management Conference, San Luis Obispo, California, March 10-13, 1999. Denver, CO, USA: USCID. pp.221-231.
Water balance ; Irrigation canals ; Water distribution ; Irrigation scheduling ; Percolation ; Irrigation efficiency ; Groundwater management ; Water storage ; Water use ; Artificial recharge ; Evapotranspiration / USA / California / San Joaquin Valley / Fresno / Kings River
(Location: IWMI-HQ Call no: 631.7.1 G000 DAV Record No: H027957)

4 Thenkabail, P. S.; Hall, J.; Lin, T.; Ashton, M. S.; Harris, D.; Enclona, E. A. 2003. Detecting floristic structure and pattern across topographic and moisture gradients in a mixed species Central African forest using IKONOS and Landsat - 7 ETM + images. International Journal of Applied Earth Observation, 4:255-270.
Forests ; Satellite surveys ; Remote sensing / Central Africa
(Location: IWMI-HQ Call no: P 6620 Record No: H033320)
https://vlibrary.iwmi.org/pdf/H_33320.pdf

5 Riches, C. R.; Harris, D.; Johnson, D. E.; Hardy, B. (Eds.) 2008. Improving agricultural productivity in rice-based systems of the high barind tract of Bangladesh. Los Banos, Philippines: International Rice Research Institute (IRRI) 215p.
Rice ; Floodplains ; Weed control ; Rainfed farming ; Chickpeas ; Cropping systems ; Pest control / Bangladesh / India
(Location: IWMI HQ Call no: 633.18 G584 RIC Record No: H041455)
http://vlibrary.iwmi.org/pdf/H041455_TOC.pdf

6 Amede, T.; Desta, L. T.; Harris, D.; Kizito, F.; Cai, Xueliang. 2014. The Chinyanja triangle in the Zambezi River Basin, southern Africa: status of, and prospects for, agriculture, natural resources management and rural development. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Research Program on Water, Land and Ecosystems (WLE) 32p. (WLE Research for Development (R4D) Learning Series 1) [doi: https://doi.org/10.5337/2014.205]
River basins ; Agricultural production ; Natural resources management ; Rural development ; Population density ; Forest management ; Dryland management ; Climate change ; Ecosystem services ; Mining ; Farming systems ; Foreign investment ; Socioeconomic environment ; Markets ; Soil fertility ; Watershed management ; Living standards ; Land tenure ; Land use ; Research ; Institutions ; Sustainability ; Livestock products ; Crops ; Farmers ; Energy generation / southern Africa / Zambia / Malawi / Mozambique
(Location: IWMI HQ Call no: IWMI Record No: H046513)
http://www.iwmi.cgiar.org/Publications/wle/r4d/wle_research_for_development-learning_series-1.pdf

7 Slika, J. W. F.; Arroyo-Rodriguezb, V.; Aibac, S.-I.; Alvarez-Loayzad, P.; Alvese, L. F.; Ashton, P.; Balvanera, P.; Bastian, M. L.; Bellingham, P. J.; van den Berg, E.; Bernacci, L.; da Conceicao Bispo, P.; Blanc, L.; Bohning-Gaese, K.; Boeckx, P.; Bongers, F.; Boyle, B.; Bradford, M.; Brearley, F. Q.; Hockemba, M. B.-N.; Bunyavejchewin, S.; Matos, D. C. L.; Castillo-Santiago, M.; Catharino, E. L. M.; Chai, S.-L.; Chen, Y.; Colwell, R. K.; Robin, C. L.; Clark, C.; Clark, D. B.; Clark, D. A.; Culmsee, H.; Damas, K.; Dattaraja, H. S.; Dauby, G.; Davidar, P.; DeWalt, S. J.; Doucet, J.-L.; Duque, A.; Durigan, G.; Eichhorn, K. A. O.; Eisenlohr, P. V.; Eler, E.; Ewango, C.; Farwig, N.; Feeley, K. J.; Ferreira, L.; Field, R.; de Oliveira Filho, A. T.; Fletcher, C.; Forshed, O.; Franco, G.; Fredriksson, G.; Gillespie, T.; Gillet, J.-F.; Amarnath, Giriraj; Griffith, D. M.; Grogan, J.; Gunatilleke, N.; Harris, D.; Harrison, R.; Hector, A.; Homeier, J.; Imai, N.; Itoh, A.; Jansen, P. A.; Joly, C. A.; de Jong, B. H. J.; Kartawinata, K.; Kearsley, E.; Kelly, D. L.; Kenfack, D.; Kessler, M.; Kitayama, K.; Kooyman, R.; Larney, E.; Laumonier, Y.; Laurance, S.; Laurance, W. F.; Lawes, M. J.; do Amaral, I . L.; Letcher, S. G.; Lindsell, J.; Lu, X.; Mansor, A.; Marjokorpi, A.; Martin, E. H.; Meilby, H.; Melo, F. P. L.; Metcalfea, D. J.; Medjibe, V. P.; Metzger, J. P.; Millet, J.; Mohandass, D.; Montero, J. C.; de Morisson Valeriano, M.; Mugerwa, B.; Nagamasu, H.; Nilus, R.; Onrizal, S. O.-G.; Page, N.; Parolin, P.; Parren, M.; Parthasarathy, N.; Paudel, E.; Permana, A.; Piedade, M. T. F.; Pitman, N. C. A.; Poorter, L.; Poulsen, A. D.; Poulsen, J.; Powers, J.; Prasad, R. C.; Puyravaud, J.-P.; Razafimahaimodison, J.-C.; Reitsma, J.; dos Santos, J. R.; Spironello, W. R.; Romero-Saltos, H.; Rovero, F.; Rozak, A. H.; Ruokolainen, K.; Rutishauser, E.; Saiter, F.; Saner, P.; Santos, B. A.; Santos, F.; Sarker, S. K.; Satdichanh, M.; Schmitt, C. B.; Schongart, J.; Schulze, M.; Suganuma, M. S.; Sheil, D.; da Silva Pinheiro, E.; Sist, P.; Stevart, T.; Sukumar, R.; Sun, I.-F.; Sunderand, T.; Suresh, H. S.; Suzuki, E.; Tabarelli, M.; Tang, J.; Targhetta, N.; Theilade, I.; Thomas, D. W.; Tchouto, P.; Hurtado, J.; Valencia, R.; van Valkenburg, J. L. C. H.; Van Do, T.; Vasquez, R.; Verbeeck, H.; Adekunle, V.; Vieira, S. A.; Webb, C. O.; Whitfeld, T.; Wich, S. A.; Williams, J.; Wittmann, F.; Woll, H.; Yang, X.; Yao, C. Y. A.; Yap, S. L.; Yoneda, T.; Zahawi, R. A.; Zakaria, R.; Zang, R.; de Assis, R. L.; Luize, B. G.; Venticinque, E. M. 2015. An estimate of the number of tropical tree species. Proceedings of the National Academy of Sciences of the United States of America, 112(24):7472-7477. [doi: https://doi.org/10.1073/pnas.1423147112]
Tropical forests ; Species ; Canopy ; Biodiversity ; Environmental effects
(Location: IWMI HQ Call no: e-copy only Record No: H047084)
https://vlibrary.iwmi.org/pdf/H047084.pdf

8 Musiyiwa, K.; Harris, D.; Filho, W. L.; Gwenzi, W.; Nyamangara, J. 2017. An assessment of smallholder soil and water conservation practices and perceptions in contrasting agro-ecological regions in Zimbabwe. Water Resources and Rural Development, 9:1-11. [doi: https://doi.org/10.1016/j.wrr.2016.09.001]
Water conservation ; Soil conservation ; Smallholders ; Farmers attitudes ; Water management ; Technology assessment ; Information services ; Constraints ; Climate change ; Agroecological zones ; Subhumid zones ; Semiarid zones ; Households ; Gender ; Socioeconomic environment / Africa South of Sahara / Zimbabwe / Mazowe / Goromonzi / Kadoma / Matobo / Chiredzi
(Location: IWMI HQ Call no: e-copy only Record No: H048197)
https://vlibrary.iwmi.org/pdf/H048197.pdf
(0.59 MB)
Improved soil and water management practices can reduce moisture stress and crop failures associated with rain-fed cropping systems. Little information exists on soil and water management technologies requirements for male and female farmers in different agro-ecological regions. The objective of current study was to investigate farmers’ sources of information and perceptions on soil and water management technologies. Four sites selected from different agro-ecological regions (AERs), sub-humid (Mazowe/Goromonzi, and Kadoma) and semi-arid (Matobo and Chiredzi). Data on sources of information on soil and water management, types of technologies preferred by farmers and constraints to adoption of technologies were collected through household interviews and focus group discussions. Results showed that government extension agents, farmer-to farmer extension and non-governmental organizations were the main sources of information on soil and water management technologies at all the sites. NGOs mainly provide information on reduced tillage methods. Main technologies were mulching (61%), reduced tillage methods (53%), and contour ridges (33%) in Mazowe/Goromonzi district, reduced tillage method (83) and mulching (64%) in Kadoma, and reduced tillage methods (54%) and contour ridges (47%) in Matobo. More farmers used soil and water management technologies at the sub-humid sites than at the semi-arid sites. Soil and water conservation technologies used were similar between male-headed (MHH) and female-headed households (FHH). Soil and water conservation technologies used by farmers matched their preferences in two of the four study sites. The findings are important for targeting soil and water management practices in the various agro-ecological zones.

9 Urfels, A.; Mausch, K.; Harris, D.; McDonald, A. J.; Kishore, A.; Balwinder-Singh; van Halsema, G.; Struik, P. C.; Craufurd, P.; Foster, T.; Singh, V.; Krupnik, T. 2023. Farm size limits agriculture's poverty reduction potential in Eastern India even with irrigation-led intensification. Agricultural Systems, 207:103618. (Online first) [doi: https://doi.org/10.1016/j.agsy.2023.103618]
Farm size ; Poverty reduction ; Intensification ; Food security ; Climate resilience ; Smallholders ; Rice ; Sustainable agriculture ; Cropping systems ; Households ; Sustainable Development Goals ; Farm income ; Crop production ; Value chains / South Asia / India / Bihar / Indo-Gangetic Plains
(Location: IWMI HQ Call no: e-copy only Record No: H051731)
https://www.sciencedirect.com/science/article/pii/S0308521X23000239/pdfft?md5=2a024959f5d2befb681e065be718b7c8&pid=1-s2.0-S0308521X23000239-main.pdf
https://vlibrary.iwmi.org/pdf/H051731.pdf
(4.48 MB) (4.48 MB)
CONTEXT: Millions of people living in the Eastern Gangetic Plains (EGP) of India engage in agriculture to support their livelihoods yet are income poor, and food and climate insecure. To address these challenges, policymakers and development programs invest in irrigation-led agricultural intensification. However, the evidence for agricultural intensification to lift farmers' incomes above the poverty line remains largely anecdotal.
OBJECTIVE: The main objective of this study is to use a large household survey (n = 15,572; rice: 8244, wheat: 7328; 2017/18) to assess the link between agricultural intensification and personal daily incomes from farming (FPDI) in the rice-wheat systems of the EGP – the dominant cropping system of the region.
METHODS: We use the Intensification Benefit Index (IBI), a measure that relates farm size and household size to FPDI, to assess how daily incomes from rice-wheat production change with irrigation-led intensification across the EGP.
RESULTS AND CONCLUSIONS: Relative to the international poverty line of 1.90 Purchasing Power Parity (PPP)$ day-1 and accounting for variations in HH size in the analysis, we found that small farm sizes limit the potential for agricultural intensification from irrigation to transform the poverty status of households in the bottom three quartiles of the IBI. The estimated median FPDI of households with intensified systems in the bottom three quartiles is only 0.51 PPP$ day-1 (a 0.15 PPP$ gain). The median FPDI increases to 2.10 PPP$ day-1 for households in the upper quartile of the IBI distribution (a 0.30 PPP$ gain). Irrigation-led agricultural intensification of rice-wheat systems in the EGP may provide substantial benefits for resilience to climatic change and food security but achieving meaningful poverty reduction will require complementary investments.
SIGNIFICANCE: Transforming the poverty status of most smallholder farmers in the EGP requires diversified portfolios of rural on- and off-farm income-generating opportunities. While bolstering food- and climate security, agronomic intervention programs should consider smallholders' limited monetary incentives to invest in intensification. Irrigation-led agricultural intensification programs and policies should explicitly account for the heterogeneity in household resources, irrigation levels, and degree of dependence on agricultural income.

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