Articles | Volume 29, issue 8
https://doi.org/10.5194/hess-29-2153-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-2153-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Apr 2025
Research article |
| 30 Apr 2025
| 30 Apr 2025
Mapping groundwater-dependent ecosystems using a high-resolution global groundwater model
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Edwin H. Sutanudjaja
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Michelle T. H. van Vliet
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Aafke M. Schipper
Radboud University, Radboud Institute for Biological and Environmental Sciences (RIBES), Nijmegen, the Netherlands
PBL Netherlands Environmental Assessment Agency, The Hague, the Netherlands
Marc F. P. Bierkens
Department of Physical Geography, Utrecht University, Utrecht, the Netherlands
Unit Subsurface & Groundwater Systems, Deltares, Utrecht, the Netherlands
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Tom Gleeson, Thorsten Wagener, Petra Döll, Samuel C. Zipper, Charles West, Yoshihide Wada, Richard Taylor, Bridget Scanlon, Rafael Rosolem, Shams Rahman, Nurudeen Oshinlaja, Reed Maxwell, Min-Hui Lo, Hyungjun Kim, Mary Hill, Andreas Hartmann, Graham Fogg, James S. Famiglietti, Agnès Ducharne, Inge de Graaf, Mark Cuthbert, Laura Condon, Etienne Bresciani, and Marc F. P. Bierkens
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Marc F. P. Bierkens, Edwin H. Sutanudjaja, and Niko Wanders
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Jan L. Gunnink, Hung Van Pham, Gualbert H. P. Oude Essink, and Marc F. P. Bierkens
Earth Syst. Sci. Data, 13, 3297–3319, https://doi.org/10.5194/essd-13-3297-2021, https://doi.org/10.5194/essd-13-3297-2021, 2021
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In the Mekong Delta (Vietnam) groundwater is important for domestic, agricultural and industrial use. Increased pumping of groundwater has caused land subsidence and increased the risk of salinization, thereby endangering the livelihood of the population in the delta. We made a model of the salinity of the groundwater by integrating different sources of information and determined fresh groundwater volumes. The resulting model can be used by researchers and policymakers.
Cited articles
Baker, J. E.: Reducing bias and inefficiency in the selection algorithm, in: Proceedings of the Second International Conference on Genetic Algorithms, Cambridge, Massachusetts, USA, 14–21, 1987.
Barbarossa, V., Bosmans, J., Wanders, N., King, H., Bierkens, M. F., Huijbregts, M. A., and Schipper, A. M.: Threats of global warming to the world's freshwater fishes, Nat. Commun., 12, 1701, https://doi.org/10.1038/s41467-021-21655-w, 2021.
Barron, O. V., Emelyanova, I., Van Niel, T. G., Pollock, D., and Hodgson, G.: Mapping groundwater-dependent ecosystems using remote sensing measures of vegetation and moisture dynamics, Hydrol. Process., 28, 372–385, 2014.
Bierkens, M. F. and Wada, Y.: Non-renewable groundwater use and groundwater depletion: a review, Environ. Res. Lett., 14, 063002, https://doi.org/10.1088/1748-9326/ab1a5f, 2019.
Bonte, M., Geris, J., Post, V. E., Bense, V., Van Dijk, H., and Kooi, H.: Mapping surface water–groundwater interactions and associated geological faults using temperature profiling, in: Groundwater and Ecosystems, edited by: Griebler, C., Malard, F., Ward, J., and Lafont, M., IAH International Contributions to Hydrogeology, 35, CRC Press, Taylor & Francis Group, 81–94, ISBN (Electronic) 9780429208591, ISBN (Print) 9781138000339, 2013.
Brim Box, J., Leiper, I., Nano, C., Stokeld, D., Jobson, P., Tomlinson, A., Cobban, D., Bond, T., Randall, D., and Box, P.: Mapping terrestrial groundwater-dependent ecosystems in arid Australia using Landsat-8 time-series data and singular value decomposition, Remote Sensing in Ecology and Conservation, Wiley, https://doi.org/10.1002/rse2.254, 2022.
Brunner, P., Therrien, R., Renard, P., Simmons, C. T., and Franssen, H. J. H.: Advances in understanding river-groundwater interactions, Rev. Geophys., 55, 818–854, 2017.
Bureau of Meteorology: Groundwater Dependent Ecosystems Atlas, Australian Government, http://www.bom.gov.au/water/groundwater/gde/, last access: 2023.
Castellazzi, P., Doody, T., and Peeters, L.: Towards monitoring groundwater-dependent ecosystems using synthetic aperture radar imagery, Hydrol. Process., 33, 3239–3250, 2019.
Cohen, I., Huang, Y., Chen, J., Benesty, J., Benesty, J., Chen, J., Huang, Y., and Cohen, I.: Pearson correlation coefficient, Noise reduction in speech processing, 1–4, Springer, https://doi.org/10.1007/978-3-642-00296-0_5, 2009.
Cucchi, M., Weedon, G. P., Amici, A., Bellouin, N., Lange, S., Müller Schmied, H., Hersbach, H., and Buontempo, C.: WFDE5: bias-adjusted ERA5 reanalysis data for impact studies, Earth Syst. Sci. Data, 12, 2097–2120, https://doi.org/10.5194/essd-12-2097-2020, 2020.
Cuthbert, M., Gleeson, T., Moosdorf, N., Befus, K. M., Schneider, A., Hartmann, J., and Lehner, B.: Global patterns and dynamics of climate–groundwater interactions, Nat. Clim. Change, 9, 137–141, 2019.
de Graaf, I. E., van Beek, R. L., Gleeson, T., Moosdorf, N., Schmitz, O., Sutanudjaja, E. H., and Bierkens, M. F.: A global-scale two-layer transient groundwater model: Development and application to groundwater depletion, Adv. Water Resour., 102, 53–67, 2017.
de Graaf, I. E., Gleeson, T., Van Beek, L., Sutanudjaja, E. H., and Bierkens, M. F.: Environmental flow limits to global groundwater pumping, Nature, 574, 90–94, https://doi.org/10.1038/s41586-019-1594-4, 2019.
Doody, T. M., Barron, O. V., Dowsley, K., Emelyanova, I., Fawcett, J., Overton, I. C., Pritchard, J. L., Van Dijk, A. I., and Warren, G.: Continental mapping of groundwater dependent ecosystems: A methodological framework to integrate diverse data and expert opinion, Journal of Hydrology: Regional Studies, 10, 61–81, 2017.
Duran-Llacer, I., Arumí, J. L., Arriagada, L., Aguayo, M., Rojas, O., González-Rodríguez, L., Rodríguez-López, L., Martínez-Retureta, R., Oyarzún, R., and Singh, S. K.: A new method to map groundwater-dependent ecosystem zones in semi-arid environments: A case study in Chile, Sci. Total Environ., 816, 151528, https://doi.org/10.1016/j.scitotenv.2021.151528, 2022.
Eamus, D., Froend, R., Loomes, R., Hose, G., and Murray, B.: A functional methodology for determining the groundwater regime needed to maintain the health of groundwater-dependent vegetation, Aust. J. Bot., 54, 97–114, 2006.
Eamus, D., Zolfaghar, S., Villalobos-Vega, R., Cleverly, J., and Huete, A.: Groundwater-dependent ecosystems: recent insights from satellite and field-based studies, Hydrol. Earth Syst. Sci., 19, 4229–4256, https://doi.org/10.5194/hess-19-4229-2015, 2015.
Fan, Y., Miguez-Macho, G., Jobbágy, E. G., Jackson, R. B., and Otero-Casal, C.: Hydrologic regulation of plant rooting depth, P. Natl. Acad. Sci. USA, 114, 10572–10577, 2017.
Fatichi, S., Vivoni, E. R., Ogden, F. L., Ivanov, V. Y., Mirus, B., Gochis, D., Downer, C. W., Camporese, M., Davison, J. H., and Ebel, B.: An overview of current applications, challenges, and future trends in distributed process-based models in hydrology, J. Hydrol., 537, 45–60, 2016.
Foster, S., Koundouri, P., Tuinhof, A., Kemper, K., Nanni, M., and Garduño, H.: Groundwater dependent ecosystems: the challenge of balanced assessment and adequate conservation, GW MATE Briefing Note Series, The World Bank, Washington, D.C., https://documents.worldbank.org/en/publication/documents-reports/documentdetail/407851468138596688/ (last access: December 2023), 2010.
Glanville, K., Ryan, T., Tomlinson, M., Muriuki, G., Ronan, M., and Pollett, A.: A method for catchment scale mapping of groundwater-dependent ecosystems to support natural resource management (Queensland, Australia), Environ. Manage., 57, 432–449, 2016.
Grömping, U.: Estimators of relative importance in linear regression based on variance decomposition, Am. Stat., 61, 139–147, 2007.
Hagemann, S. and Gates, L. D.: Improving a subgrid runoff parameterization scheme for climate models by the use of high resolution data derived from satellite observations, Clim. Dynam., 21, 349–359, 2003.
Hatton, T. and Evans, R.: Dependence of ecosystems on groundwater and its significance to Australia, Land and Water Resources Research and Development Corporation (LWRRDC), Canberra, ACT, Australia, ISBN 0-642-26725-1, ISSN 1320-0992, 1998.
Hengl, T., Mendes de Jesus, J., Heuvelink, G. B., Ruiperez Gonzalez, M., Kilibarda, M., Blagotić, A., Shangguan, W., Wright, M. N., Geng, X., and Bauer-Marschallinger, B.: SoilGrids250m: Global gridded soil information based on machine learning, PLoS One, 12, e0169748, https://doi.org/10.1371/journal.pone.0169748, 2017.
Hoogland, T., Heuvelink, G., and Knotters, M.: Mapping water-table depths over time to assess desiccation of groundwater-dependent ecosystems in the Netherlands, Wetlands, 30, 137–147, 2010.
Howard, J. and Merrifield, M.: Mapping groundwater dependent ecosystems in California, PLoS One, 5, e11249, https://doi.org/10.1371/journal.pone.0011249, 2010.
Huggins, X., Gleeson, T., Serrano, D., Zipper, S., Jehn, F., Rohde, M. M., Abell, R., Vigerstol, K., and Hartmann, A.: Overlooked risks and opportunities in groundwatersheds of the world's protected areas, Nature Sustainability, 6, 855–864, 2023.
Kilroy, G., Coxon, C., Daly, D., O'Connor, Á., Dunne, F., Johnston, P., Ryan, J., Moe, H., and Craig, M.: Monitoring the Environmental Supporting Conditions of Groundwater Dependent Terrestrial Ecosystems in Ireland, Groundwater Monitoring, 245, the Environmental Protection Agency (EPA), Ireland, https://www.epa.ie/publications/research/water/Research_Report_403.pdf (last access: January 2024), 2009.
Kløve, B., Allan, A., Bertrand, G., Druzynska, E., Ertürk, A., Goldscheider, N., Henry, S., Karakaya, N., Karjalainen, T. P., and Koundouri, P.: Groundwater dependent ecosystems. Part II. Ecosystem services and management in Europe under risk of climate change and land use intensification, Environ. Sci. Policy, 14, 782–793, 2011.
Kløve, B., Ala-Aho, P., Bertrand, G., Gurdak, J. J., Kupfersberger, H., Kværner, J., Muotka, T., Mykrä, H., Preda, E., and Rossi, P.: Climate change impacts on groundwater and dependent ecosystems, J. Hydrol., 518, 250–266, 2014.
Kummu, M., Guillaume, J. H., de Moel, H., Eisner, S., Flörke, M., Porkka, M., Siebert, S., Veldkamp, T. I., and Ward, P.: The world's road to water scarcity: shortage and stress in the 20th century and pathways towards sustainability, Sci. Rep.-UK, 6, 38495, https://doi.org/10.1038/srep38495, 2016.
Lange, S., Menz, C., Gleixner, S., Cucchi, M., Weedon, G. P., Amici, A., Bellouin, N., Schmied, H. M., Hersbach, H., and Buontempo, C.: WFDE5 over land merged with ERA5 over the ocean (W5E5 v2.0), Earth System Grid Federation (ESGF) via ISIMIP (Inter-Sectoral Impact Model Intercomparison Project), https://doi.org/10.48364/ISIMIP.342217, 2021.
Lehner, B., Verdin, K., and Jarvis, A.: New global hydrography derived from spaceborne elevation data, Eos, Trans. Am. Geophys. Union, 89, 93–94, https://doi.org/10.1029/2008EO100001, 2008.
Link, A., El-Hokayem, L., Usman, M., Conrad, C., Reinecke, R., Berger, M., Wada, Y., Coroama, V., and Finkbeiner, M.: Groundwater-dependent ecosystems at risk, V1, Mendeley Data [data set], https://doi.org/10.17632/p39y3mdh6n.1, 2023.
Martínez-Santos, P., Díaz-Alcaide, S., De la Hera-Portillo, A., and Gómez-Escalonilla, V.: Mapping groundwater-dependent ecosystems by means of multi-layer supervised classification, J. Hydrol., 603, 126873, https://doi.org/10.1016/j.jhydrol.2021.126873, 2021.
MacKay, H.: Protection and management of groundwater-dependent ecosystems: emerging challenges and potential approaches for policy and management, Aust. J. Bot., 54, 231–237, https://doi.org/10.1071/BT05047, 2006.
Münch, Z. and Conrad, J.: Remote sensing and GIS based determination of groundwater dependent ecosystems in the Western Cape, South Africa, Hydrogeol. J., 15, 19–28, 2007.
Murray, B. R., Hose, G. C., Eamus, D., and Licari, D.: Valuation of groundwater-dependent ecosystems: a functional methodology incorporating ecosystem services, Aust. J. Bot., 54, 221–229, 2006.
Naumburg, E., Mata-Gonzalez, R., Hunter, R. G., Mclendon, T., and Martin, D. W.: Phreatophytic vegetation and groundwater fluctuations: a review of current research and application of ecosystem response modeling with an emphasis on Great Basin vegetation, Environ. Manage., 35, 726–740, 2005.
Otoo, G. N.: otoo0001/comparisonmatrix: Comparison matrix for evaluating mapped gdes, v1.0.0, Zenodo [code and data set], https://doi.org/10.5281/zenodo.15295151, 2025.
Quichimbo, E. A., Singer, M. B., Michaelides, K., Hobley, D. E. J., Rosolem, R., and Cuthbert, M. O.: DRYP 1.0: a parsimonious hydrological model of DRYland Partitioning of the water balance, Geosci. Model Dev., 14, 6893–6917, https://doi.org/10.5194/gmd-14-6893-2021, 2021.
Robinson, T. W.: Phreatophytes, US Government Printing Office, Washington, D.C., Geological Survey Water-Supply Paper 1423, 1958.
Sommer, B. and Froend, R.: Phreatophytic vegetation responses to groundwater depth in a drying mediterranean-type landscape, J. Veg. Sci., 25, 1045–1055, 2014.
Stromberg, J., Lite, S., and Dixon, M.: Effects of stream flow patterns on riparian vegetation of a semiarid river: implications for a changing climate, River Res. Appl., 26, 712–729, 2010.
Sutanudjaja, E. H., van Beek, L. P. H., de Jong, S. M., van Geer, F. C., and Bierkens, M. F. P.: Large-scale groundwater modeling using global datasets: a test case for the Rhine-Meuse basin, Hydrol. Earth Syst. Sci., 15, 2913–2935, https://doi.org/10.5194/hess-15-2913-2011, 2011.
Sutanudjaja, E. H., van Beek, R., Wanders, N., Wada, Y., Bosmans, J. H. C., Drost, N., van der Ent, R. J., de Graaf, I. E. M., Hoch, J. M., de Jong, K., Karssenberg, D., López López, P., Peßenteiner, S., Schmitz, O., Straatsma, M. W., Vannametee, E., Wisser, D., and Bierkens, M. F. P.: PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model, Geosci. Model Dev., 11, 2429–2453, https://doi.org/10.5194/gmd-11-2429-2018, 2018.
Taylor, R. G., Scanlon, B., Döll, P., Rodell, M., Van Beek, R., Wada, Y., Longuevergne, L., Leblanc, M., Famiglietti, J. S., and Edmunds, M.: Ground water and climate change, Nat. Clim. Change, 3, 322–329, 2013.
Todini, E.: The ARNO rainfall – runoff model, J. Hydrol., 175, 339–382, 1996.
Tomlinson, M. and Boulton, A. J.: Ecology and management of subsurface groundwater dependent ecosystems in Australia – a review, Mar. Freshwater Res., 61, 936–949, 2010.
van Emmerik, T. H. M., Li, Z., Sivapalan, M., Pande, S., Kandasamy, J., Savenije, H. H. G., Chanan, A., and Vigneswaran, S.: Socio-hydrologic modeling to understand and mediate the competition for water between agriculture development and environmental health: Murrumbidgee River basin, Australia, Hydrol. Earth Syst. Sci., 18, 4239–4259, https://doi.org/10.5194/hess-18-4239-2014, 2014.
Verkaik, J., Sutanudjaja, E. H., Oude Essink, G. H. P., Lin, H. X., and Bierkens, M. F. P.: GLOBGM v1.0: a parallel implementation of a 30 arcsec PCR-GLOBWB-MODFLOW global-scale groundwater model, Geosci. Model Dev., 17, 275–300, https://doi.org/10.5194/gmd-17-275-2024, 2024.
Wada, Y., Wisser, D., and Bierkens, M. F. P.: Global modeling of withdrawal, allocation and consumptive use of surface water and groundwater resources, Earth Syst. Dynam., 5, 15–40, https://doi.org/10.5194/esd-5-15-2014, 2014.
Werstak, C., Housman, I., Maus, P., Fisk, H., Gurrieri, J., Carlson, C. P., Johnston, B. C., Stratton, B., and Hurja, J. C.: Groundwater-dependent ecosystem inventory using remote sensing, technical document, United States Department of Agriculture, https://www.fs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb5405946.pdf (last access: June 2023), 2012.
Winter, T. C.: Relation of streams, lakes, and wetlands to groundwater flow systems, Hydrogeol. J., 7, 28–45, 1999.
Xu, T. and Liang, F.: Machine learning for hydrologic sciences: An introductory overview, Wiley Interdisciplinary Reviews: Water, 8, e1533, https://doi.org/10.1002/wat2.1533, 2021.
Short summary
The contribution of groundwater to groundwater-dependent ecosystems (GDEs) is declining as a result of an increase in groundwater abstractions and climate change. This may lead to loss of habitat and biodiversity. This proposed framework enables the mapping and understanding of the temporal and spatial dynamics of GDEs on a large scale. The next step is to assess the global impacts of climate change and water use on GDE extent and health.
The contribution of groundwater to groundwater-dependent ecosystems (GDEs) is declining as a...
