103 results found
Ochoa-Tocachi BF, Alemie TC, Guzman CD, et al., 2019, Sensitivity analysis of the parameter-efficient distributed (PED) model for discharge and sediment concentration estimation in degraded humid landscapes, LAND DEGRADATION & DEVELOPMENT, Vol: 30, Pages: 151-165, ISSN: 1085-3278
Buytaert W, Vitolo C, Fry M, et al., 2018, cvitolo/rnrfa: rnrfa v1.5
rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archive
De Stercke S, Mijic A, Buytaert W, et al., 2018, Modelling the dynamic interactions between London's water and energy systems from an end-use perspective, APPLIED ENERGY, Vol: 230, Pages: 615-626, ISSN: 0306-2619
Shukla AK, Ojha CSP, Mijic A, et al., 2018, Population growth, land use and land cover transformations, and water quality nexus in the Upper Ganga River basin, HYDROLOGY AND EARTH SYSTEM SCIENCES, Vol: 22, Pages: 4745-4770, ISSN: 1027-5606
Moulds S, Buytaert W, Mijic A, 2018, A spatio-temporal land use and land cover reconstruction for India from 1960-2010, SCIENTIFIC DATA, Vol: 5, ISSN: 2052-4463
Zogheib C, Ochoa-Tocachi BF, Paul JD, et al., 2018, Exploring a water data, evidence, and governance theory, Water Security, Vol: 4-5, Pages: 19-25
© 2018 The hydrological evidence on which water resource management and broader governance decisions are based is often very limited. This issue is especially pronounced in lower- and middle-income countries, where not only data are scarce but where pressure on water resources is often already very high and increasing. Historically, several governance theories have been put forward to examine water resource management. One of the more influential is Elinor Ostrom's theory of common-pool resources. However while used very widely, the underlying principles of Ostrom's approach make pronounced implicit assumptions about the role of data and evidence in common-pool resource systems. We argue here this overlooks how power relations, user characteristics, system arrangements, and technological advances modulate fundamental associations between data, evidence, and governance, which we contend need to be considered explicitly. Examining the case of water allocations in Quito, Ecuador, we develop a set of concrete criteria to inform the ways in which Ostrom's principles can be applied in a data-scarce, institutionally complex, polycentric context. By highlighting the variable impact of data availability on subsequent evidence generation, these criteria have the potential to test the applicability of common assumptions about how to achieve water security in a developmental context, and hence offer the possibility of developing a more encompassing theory about the interactions between water data, evidence, and governance.
Mao F, Clark J, Buytaert W, et al., 2018, Water sensor network applications: Time to move beyond the technical?, HYDROLOGICAL PROCESSES, Vol: 32, Pages: 2612-2615, ISSN: 0885-6087
Ochoa-Tocachi BF, Buytaert W, Antiporta J, et al., 2018, High-resolution hydrometeorological data from a network of headwater catchments in the tropical Andes, SCIENTIFIC DATA, Vol: 5, ISSN: 2052-4463
O'Keeffe J, Moulds S, Bergin E, et al., 2018, Including Farmer Irrigation Behavior in a Sociohydrological Modeling Framework With Application in North India, WATER RESOURCES RESEARCH, Vol: 54, Pages: 4849-4866, ISSN: 0043-1397
Appel M, Lahn F, Buytaert W, et al., 2018, Open and scalable analytics of large Earth observation datasets: From scenes to multidimensional arrays using SciDB and GDAL, ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, Vol: 138, Pages: 47-56, ISSN: 0924-2716
Tsarouchi G, Buytaert W, 2018, Land-use change may exacerbate climate change impacts on water resources in the Ganges basin, HYDROLOGY AND EARTH SYSTEM SCIENCES, Vol: 22, Pages: 1411-1435, ISSN: 1027-5606
Vuille M, Carey M, Huggel C, et al., 2018, Rapid decline of snow and ice in the tropical Andes - Impacts, uncertainties and challenges ahead, EARTH-SCIENCE REVIEWS, Vol: 176, Pages: 195-213, ISSN: 0012-8252
Paul JD, Buytaert W, Allen S, et al., 2018, Citizen science for hydrological risk reduction and resilience building, WILEY INTERDISCIPLINARY REVIEWS-WATER, Vol: 5, ISSN: 2049-1948
, 2018, Co-generating knowledge on ecosystem services and the role of new technologies, Ecosystem Services and Poverty Alleviation: Trade-Offs and Governance, Pages: 174-188, ISBN: 9780429016295
© 2018 selection and editorial matter, Kate Schreckenberg, Georgina Mace and Mahesh Poudyal; individual chapters, the contributors. Policy makers are increasingly aware that decision-making in the context of ecosystem services management, and of development, can benefit from collaborative and inclusive approaches to knowledge generation and the design of intervention strategies, such as by providing a more prominent role for indigenous knowledge in decision-making and by using participatory methods for data collection and knowledge generation. In this chapter, we discuss how technologies such as mobile phones, low-cost and robust sensors, and increasingly pervasive remote-sensing satellites and drones can be particularly transformative in the way they facilitate the creation, access and transmission of information about ecosystem services, and support evidence-based decision-making. Furthermore, we discuss how these technologies can be used to promote stakeholder involvement in the knowledge generation process and to make it more inclusive and participatory. While we highlight potential risks related to the use of new technologies, such as exploitation by specific stakeholders to support specific agendas or interests, we identify opportunities for an increasing diversification and tailoring of knowledge creation, moving away from a top-down process dominated by scientists and toward more decentralised, bottom-up and iterative approaches that can have a transformative impact on local ecosystem services management, making it more inclusive, polycentric, evidence-based and robust.
Ochoa Tocachi BF, Buytaert W, De Bièvre B, 2017, Participatory Monitoring of the Impact of Watershed Interventions in the Tropical Andes, Andean Hydrology, Editors: Rivera, Godoy-Faundez, Lillo Saavedra, Publisher: CRC Press, Pages: 126-163, ISBN: 9781498788403
This chapter documents the motivations and methods of the Regional Initiative for Hydrological Monitoring of Andean Ecosystems (iMHEA). First, it introduces the context that led to the formation of a diverse consortium of institutions with a joint interest in Andean ecosystems and water. The methodological approach adopted by the monitoring network is then presented in detail. Lastly, this chapter shows preliminary main results, the most relevant milestones and breakthroughs, and the major remaining challenges and perspectives in the scientific, technological and social domains. The objective of the monitoring, as promoted by iMHEA, is to generate standardized data that can be used to increase the knowledge about hydrological ecosystem services in Andean watersheds and the impacts of watershed interventions. The correct use of the generated knowledge, from community level to national governance entities, proves crucial to increase catchment intervention efficiency and improve decision-making on water resources management in data-scarce regions, with potential application to other regions of the world.
Fernanda Cardenas M, Tobon C, Buytaert W, 2017, Contribution of occult precipitation to the water balance of paramo ecosystems in the Colombian Andes, HYDROLOGICAL PROCESSES, Vol: 31, Pages: 4440-4449, ISSN: 0885-6087
Buytaert W, Moulds S, Acosta L, et al., 2017, Glacial melt content of water use in the tropical Andes, ENVIRONMENTAL RESEARCH LETTERS, Vol: 12, ISSN: 1748-9326
Arnillas CA, Tovar C, Cadotte MW, et al., 2017, From patches to richness: assessing the potential impact of landscape transformation on biodiversity, ECOSPHERE, Vol: 8, ISSN: 2150-8925
Shukla AK, Ojha CSP, Mijic A, et al., Population Growth&ndash;Land Use/Land Cover Transformations&ndash;Water Quality Nexus in Upper Ganga River Basin, Hydrology and Earth System Sciences Discussions, Pages: 1-46
Manz B, Paez-Bimos S, Horna N, et al., 2017, Comparative Ground Validation of IMERG and TMPA at Variable Spatiotemporal Scales in the Tropical Andes, JOURNAL OF HYDROMETEOROLOGY, Vol: 18, Pages: 2469-2489, ISSN: 1525-755X
Mathez-Stiefel S-L, Peralvo M, Baez S, et al., 2017, Research Priorities for the Conservation and Sustainable Governance of Andean Forest Landscapes, MOUNTAIN RESEARCH AND DEVELOPMENT, Vol: 37, Pages: 323-339, ISSN: 0276-4741
Mao F, Clark J, Karpouzoglou T, et al., 2017, HESS Opinions: A conceptual framework for assessing socio-hydrological resilience under change, HYDROLOGY AND EARTH SYSTEM SCIENCES, Vol: 21, Pages: 3655-3670, ISSN: 1027-5606
Arora H, Ojha CSP, Buytaert W, et al., Spatio-temporal trends in observed and downscaled precipitation over Ganga Basin, Hydrology and Earth System Sciences Discussions, Pages: 1-19
Ocio D, Le Vine N, Westerberg I, et al., 2017, The role of rating curve uncertainty in real-time flood forecasting, WATER RESOURCES RESEARCH, Vol: 53, Pages: 4197-4213, ISSN: 0043-1397
Pandeya B, Buytaert W, 2017, Citizen science and web-based modelling tools for managing freshwater
The use of low-cost hydrological sensors in Nepal allowed local stakeholders to generate useful data on freshwater resources in partnership with scientists, and to apply this data more effectively in participatory decision making.It is important to use the right mapping and modelling methods for ecosystem services (the benefits people obtain from ecosystems) so that information on service production, distribution and consumption is expressed at a spatial scale that is relevant to decision making. These methods are even more important in regions where limited data is available.The integration of appropriate citizen science practices as well as mapping and modelling tools into water and land resources based decision making could facilitate sustainable development activities, particularly in the Himalayan region.
Zulkafli Z, Perez K, Vitolo C, et al., 2017, User-driven design of decision support systems for polycentric environmental resources management, ENVIRONMENTAL MODELLING & SOFTWARE, Vol: 88, Pages: 58-73, ISSN: 1364-8152
Vitolo C, Wells P, Dobias M, et al., 2016, fuse: An R package for ensemble Hydrological Modelling, The Journal of Open Source Software, Vol: 1, Pages: 52-52
Pandeya B, Buytaert W, Zulkafli Z, et al., 2016, A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions, ECOSYSTEM SERVICES, Vol: 22, Pages: 250-259, ISSN: 2212-0416
Vitolo C, Fry M, Buytaert W, 2016, rnrfa: An R package to Retrieve, Filter and Visualize Data from the UK National River Flow Archive, R JOURNAL, Vol: 8, Pages: 102-116, ISSN: 2073-4859
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