Your search found 3 records
1 Bernhardt, E. M.; Zandaryaa, S.; Arduino, G.; Jimenez-Cisneros, B.; Payne, J.; Zadeh, S. M.; McClain, M.; Irvine, K.; Acreman, M.; Cudennec, C.; Amerasinghe, Priyanie; Dickens, Chris; Cohen-Shacham, E.; Fedotova, T.; Cox, C.; Bertule, M.; Coates, D.; Connor, R.; Simmons, E.; Gastelumendi, J.; Gutierrez, T. 2018. NBS [Nature-based solutions] for managing water quality. In WWAP (United Nations World Water Assessment Programme); UN-Water. The United Nations World Water Development Report 2018: nature-based solutions for water. Paris, France: UNESCO. pp.52-62.
Natural resources ; Water management ; Water quality ; Water pollution ; Water conservation ; Sustainable development ; Ecosystem services ; Environmental health ; Agriculture ; Socioeconomic environment ; Wetlands ; Land management ; Riparian zones ; Infrastructure
(Location: IWMI HQ Call no: e-copy only Record No: H048853)
(31.02 MB)
2 Teweldebrihan, M. D.; Pande, S.; McClain, M.. 2020. The dynamics of farmer migration and resettlement in the Dhidhessa River Basin, Ethiopia. Hydrological Sciences Journal, 10p. (Online first). (Special issue: Advancing socio-hydrology) [doi: https://doi.org/10.1080/02626667.2020.1789145]
Farmers ; Migration ; Resettlement ; River basins ; Water resources development ; Living standards ; Households ; Economic aspects ; Income ; Crop production ; State intervention ; Dam construction ; Drought ; Rain / Ethiopia / Dhidhessa River Basin / Arjo-Dhidhessa Dam / Hararghe
(Location: IWMI HQ Call no: e-copy only Record No: H049884)
https://www.tandfonline.com/doi/abs/10.1080/02626667.2020.1789145?needAccess=true#aHR0cHM6Ly93d3cudGFuZGZvbmxpbmUuY29tL2RvaS9wZGYvMTAuMTA4MC8wMjYyNjY2Ny4yMDIwLjE3ODkxNDU/bmVlZEFjY2Vzcz10cnVlQEBAMA==
https://vlibrary.iwmi.org/pdf/H049884.pdf
https://vlibrary.iwmi.org/pdf/H049884.pdf
(2.77 MB) (2.77 MB)
The Dhidhessa River Basin (DRB), in the Abbay River Basin in Ethiopia, is undergoing large-scale dam construction for sugarcane irrigation. We focused on the dynamics of population migration, settlement, relocation and water resource development in the DRB using primary and secondary data. Two major migration waves were observed in the basin: the first in 1984–1986 during a severe drought and the second during 2005–2017. Most rural migrants were “pulled” by government initiative in the period 1984–2017, while a few migrated of their own accord due to famine. We found that the first migration wave from eastern Ethiopia (Harar) to DRB was due to scarcity of water, land and rainfall and the migration positively affected migrant livelihoods. In the second phase, dam construction displaced settled farmers and migrants, adversely affecting their livelihoods. Analysis is needed that considers the wellbeing of the displaced agrarian society and the migrant population in the dam-affected area.
3 Alam, Mohammad Faiz; McClain, M.; Sikka, Alok; Pande, S. 2022. Understanding human-water feedbacks of interventions in agricultural systems with agent based models: a review. Environmental Research Letters, 17(10):103003. [doi: https://doi.org/10.1088/1748-9326/ac91e1]
Agricultural systems ; Water management ; Water systems ; Agent-based models ; Hydrological modelling ; Groundwater ; Surface water ; Irrigation ; Sustainability ; Equity ; Farmers ; Socioeconomic aspects
(Location: IWMI HQ Call no: e-copy only Record No: H051439)
https://iopscience.iop.org/article/10.1088/1748-9326/ac91e1/pdf
https://vlibrary.iwmi.org/pdf/H051439.pdf
https://vlibrary.iwmi.org/pdf/H051439.pdf
(1.27 MB) (1.27 MB)
Increased variability of the water cycle manifested by climate change is a growing global threat to agriculture with strong implications for food and livelihood security. Thus, there is an urgent need for adaptation in agriculture. Agricultural water management (AWM) interventions, interventions for managing water supply and demand, are extensively promoted and implemented as adaptation measures in multiple development programs globally. Studies assessing these adaptation measures overwhelmingly focus on positive impacts, however, there is a concern that these studies may be biased towards well-managed and successful projects and often miss out on reporting negative externalities. These externalities result from coevolutionary dynamics of human-water systems as AWM interventions impact hydrological flows and their use and adoption is shaped by the societal response. We review the documented externalities of AWM interventions and present a conceptual framework classifying negative externalities linked to water and human systems into negative hydrological externalities and unexpected societal feedbacks. We show that these externalities can lead to long term unsustainable and inequitable outcomes. Understanding how the externalities lead to undesirable outcomes demands rigorous modeling of the feedbacks between human and water systems, for which we discuss the key criteria that such models should meet. Based on these criteria, we showcase that differentiated and limited inclusion of key feedbacks in current water modeling approaches (e.g., hydrological models, hydro-economic, and water resource models) is a critical limitation and bottleneck to understanding and predicting negative externalities of AWM interventions. To account for the key feedback, we find Agent Based Modeling (ABM) as the method that has the potential to meet the key criteria. Yet there are gaps that need to be addressed in the context of ABM as a tool to unravel the negative externalities of AWM interventions. We carry out a systemic review of ABM application to agricultural systems, capturing how it is currently being applied and identifying the knowledge gaps that need to be bridged to unravel the negative externalities of AWM interventions. We find that ABM has been extensively used to model agricultural systems and, in many cases, the resulting externalities with unsustainable and inequitable outcomes. However, gaps remain in terms of limited use of integrated surface-groundwater hydrological models, inadequate representation of farmers' behavior with heavy reliance on rational choice or simple heuristics and ignoring heterogeneity of farmers' characteristics within a population.
Powered by DB/Text WebPublisher, from
