Your search found 6 records
(Location: IWMI-HQ Call no: PER Record No: H029198)
2 Boisvert, R.; Chang, H.; Barker, R.; Levine, G.; Matsuno, Y.; Molden, D. 2003. Water productivity in agriculture: measuring the positive and negative externalities of paddy rice production. In World Water Council. Proceedings of Sessions on “Agriculture, food and water” – The Third World Water Forum (WWF3), 19 and 20 March 2003, Kyoto, Japan. Tokyo, Japan: Japanese Institute of Irrigation and Drainage. pp.203-215.
(Location: IWMI-HQ Call no: 631.7 G570 WOR, IWMI 631.7.4 G748 BOI Record No: H033278)
3 Boisvert, R.; Chang, H.; Barker, R.; Levine, G.; Matsuno, Y.; Molden, D. 2003. Refining the positive and negative externalities of Taiwanese paddy rice production. In ICID Asian Regional Workshop, Sustainable Development of Water Resources and Management and Operation of Participatory Irrigation Organizations, November 10-12, 2003, The Grand Hotel, Taipei. Vol.1. Taipei, Taiwan: ICID. pp.29-45.
(Location: IWMI-HQ Call no: ICID 631.7.2 G570 ICI Record No: H033334)
4 Vinetz, J. M.; Wilcox, B. A.; Aguirre, A.; Gollin, L. X.; Katz, A. R.; Fujioka, R. S.; Maly, K.; Horwitz, P.; Chang, H.. 2005. Beyond disciplinary boundaries: Leptospirosis as a model of incorporating transdisciplinary approaches to understand infectious disease emergence. EcoHealth, 2:291-306.
(Location: IWMI-HQ Call no: P 7575 Record No: H039129)
(Location: IWMI HQ Call no: e-copy only Record No: H050227)
(2.62 MB) (2.62 MB)
Various spatial interrelationships among sampling stations are not well explored in the spatial modeling of water quality literature. This research explores the relationship between water quality and various social, demographic, and topographic factors in an urbanizing watershed of Nepal with a comparison of different connectivity matrices to conceptualize spatial interrelationships. We collected electrical conductivity and dissolved oxygen data from surface water bodies using a handheld probe and used the data to establish relationships with land use, topography, and population density-based explanatory variables at both watershed and 100-m buffer scales. The linear regression model was compared with different eigenvector-based spatial filtering models. These spatial filtering models were constructed using five different spatial conceptualizations based on different graph types generated from the geographic coordinates of the sampling sites. Population density, elevation, and percentage of sand in the watershed and riparian regions are most important in explaining dissolved oxygen concentration and electric conductivity. A human signature as population density and increased sand and gravel cover can be detected in this watershed impacting water quality. Among different graph types compared, the relative graph type provided the highest model strength signifying a stronger upstream-downstream relationship of dissolved oxygen, while k-nearest graph types with four neighbors provided the strongest model performance, indicating the impact of local factors on electrical conductivity. The relationships between socio-environmental factors and water quality and their spatial interrelationships identified in this work shed light on the source, mobilization, and transport of dissolved oxygen and electrical conductivity and can assist the water quality management endeavor.
(Location: IWMI HQ Call no: e-copy only Record No: H052448)
(0.41 MB) (420 KB)
With climate change and urbanization, city planners and developers have increasing interest and practice in constructing, restoring, or incorporating wetlands as forms of green infrastructure to maintain water-related ecosystem services (WES). We reviewed studies that valued in functional or monetary units the water regulation and purification services of urban wetlands around the globe. We used the adaptive management cycle (AMC) as a heuristic to determine the step that a study would represent in the AMC, the connections between the cycle steps that were used or considered, and the stakeholders involved. Additionally, we identified the social, ecological, and/or technological dimension(s) of the environmental stressors and management strategies described by study authors. While use-inspired research on WES occurs throughout the globe, most studies serve to singularly assess problems or monitor urban wetlands, consider or use no connectors between steps, and involve no stakeholder groups. Both stressors and strategies were overwhelmingly multidimensional, with the social dimension represented in the majority of both. We highlight studies that successfully interfaced with cities across multiple steps, connectors, engaged stakeholder groups, and disseminated findings and skills to stakeholder groups. True use-inspired research should explicitly involve management systems that are used by city stakeholders and propose multidimensional solutions.
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