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Groundwater Ecohydrology: Giscience Tools to Forecast Change and Sustainability of Global Ecosystems, Studies in Africa, Europe and North America : Volume 6, Issue 2 (31/03/2009)

By Steward, D. R.

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Book Id: WPLBN0003973155
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File Size: Pages 50
Reproduction Date: 2015

Title: Groundwater Ecohydrology: Giscience Tools to Forecast Change and Sustainability of Global Ecosystems, Studies in Africa, Europe and North America : Volume 6, Issue 2 (31/03/2009)  
Author: Steward, D. R.
Volume: Vol. 6, Issue 2
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2009
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Yang, X., De Lange, W. J., Olsthoorn, T. N., Steward, D. R., & Vasak, S. L. (2009). Groundwater Ecohydrology: Giscience Tools to Forecast Change and Sustainability of Global Ecosystems, Studies in Africa, Europe and North America : Volume 6, Issue 2 (31/03/2009). Retrieved from http://hawaiilibrary.net/


Description
Description: Department of Civil Engineering, Kansas State University, 2118 Fiedler Hall, Manhattan, Kansas 66506-5000, USA. This study examines the interface between groundwater hydrology and ecology, and addresses a scientific grand challenge to develop a comprehensive, systematic understanding of continental water dynamics by linking the hydrosphere and biosphere. There exists a current lack of data interoperability between groundwater modeling tools due to differences in numerical techniques – Analytic Element Method (AEM), Finite Difference Method (FDM), and Finite Element Method (FEM) – which lend themselves well to either vector or raster data, and legacy input/output file formats that are not well suited across models. Nonetheless, investigative computational tools are all founded in the same conceptualization of hydrologic properties associated with mass, flux, pathways and residence time. A consistent framework is developed using modern Geographic Information Science (GIScience) methods to organize and archive important information from international datasets and previous groundwater ecohydrology studies organized around aquifer and water point, line, polygon and raster features. Case studies illustrate the efficacy of this platform to address existing data interoperability issues for representative groundwater ecohydrology problems of global significance including the impact of human-induced forcings, change in species, and forcings by natural processes on groundwater ecohydrology. In North America, we study the relationships between groundwater pumping in the Ogallala Aquifer and changes in riparian habitat and phreatophyte species composition. In Europe, we study the impacts of changes in forest species composition on groundwater recharge and baseflow to biologically diverse fens and wetlands in the Veluwe sand hill region of The Netherlands. In Africa, we study the wetlands of the Okavango Delta in Botswana that forms an oasis in the midst of the Kalahari Desert and the role of groundwater in flushing salts from this freshwater ecosystem. In each study, we document the current state of knowledge, identify pertinent datasets and previous studies, develop new conceptual and computer models, and summarize findings. This computational platform provides a framework to study sustainability, to forecast the impacts of changes in forcings, and to provide a scientific underpinning that informs management and public policy debate.

Summary
Groundwater ecohydrology: GIScience tools to forecast change and sustainability of global ecosystems, studies in Africa, Europe and North America

Excerpt
Adriaens, P., Goovaerts, P., Skerlos, S., Edwards, E., and Egli, T.: Intelligent infrastructure for sustainable potable water: A roundtable for emerging transnational research and technology development needs, Biotechnol. Adv., 22, 119–134, 2003.; Batelaan, O. and De Smedt, F.: {GIS}-based recharge estimation by coupling surface-subsurface water balances, J. Hydrol., 337, 337–355, 2007.; Baron, J. S., Poff, N. L., Angermeier, P. L., Dahm, C. N., Gleik, P. H., Hairston, Jr., N. G., Jackson, R. B., Johnston, C. A., Richter, B. D., and Steinman, A. D.: Meeting ecological and societal needs for freshwater, Ecol. Appl., 12, 1247–1260, 2002.; Batelaan, O., De Smedt, F., and Triest, L.: Regional groundwater discharge: phreatophyte mapping, groundwater modeling and impact analysis of land-use change, J. Hydrol., 275, 86–108, 2003.; Batjes, N. H.: SOTER}-based soil parameter estimates for {Southern Africa, ISRIC – World Soil Information, Wageningen Report 2004/04, 2004.; Bauer-Gottwein, P., Langer, T., Prommer, H., Wolski, P., and Kinzelbach, W.: Okavango Delta Islands: Interaction between density-driven flow and geochemical reactions under evapo-concentration, J. Hydrol., 335, 389–405, 2007.; Bear, J. and Verruijt, A.: Modeling Groundwater Flow and Pollution: With Computer Programs for Sample Cases, Springer, New York, 1987.; Bekker, R. P., De Wit, P. V., Fernando, K. S., Turnisang, D. M., Radcliffe, D. J., and Mphathi, M.: Vegetation map of the Republic of Botswana. Soil mapping and advisory services project, Ministry of Agriculture, Gaborone, 1991.; Bernard, E. A., Steward, D. R., and Le Grand, P.: A geodatabase for groundwater modeling in MLAEM and MODFLOW, in: ESRI International User Conference 2005, Paper 1633: 1–25, ESRI, San Diego, CA, 25–29 July 2005.; Best, E. P. H., Verhoeven, J. T. A., and Wolff, W. J.: The ecology of the Netherlands wetlands: characteristics, threats, prospects and perspectives for ecological research, Hydrobiologia, 265, 305–320, 1993.; Boumans, L., Fraters, D., and van Drecht, G.: Mapping nitrate leaching to upper groundwater in the sandy regions of the Netherlands, using conceptual knowledge, Environ. Monit. Assess., 137, 243–249, doi:10.1007/s10661-007-9756-5, 2008.; Bruen, M.: Systems analysis – a new paradigm and decision support tools for the water framework directive, Hydrol. Earth Syst. Sci., 12, 739–749, 2008.; Brunner, P., Franssen, H. J. H., Kgotlhang, L., Bauer-Gottwien, P., and Kinzelbach, W.: How can remote sensing contribute in groundwater modeling?, Hydrogeol. J., 15, 5–18, doi:10.1007/s10040-0060-0127-z, 2007.; Brutsaert, W.: Long-term groundwater storage trends estimated from sreamflow records: Climatic perspective, Water Resour. Res., 44, W02409, doi:10.1029/2007WR006518, 2008.; Bulatewicz, T., Jin, W., Staggenborg, S., Lauwo, S. Y., Miller, M., Das, S., Andresen, D., Peterson, J., Steward, D. R., and Welch, S. M.: Calibration of a crop model to irrigated water use using a genetic algorithm, Hydrol. Earth Syst.

 

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