Quantifying heterogeneity in ecohydrological partitioning in urban green spaces through the integration of empirical and modelling approaches.
Ecohydrological modelling
Evapotranspiration
Infiltration
Precipitation partitioning
Urban ecosystem services
Water balances
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
15 Mar 2023
15 Mar 2023
Historique:
received:
13
10
2022
accepted:
23
02
2023
entrez:
15
3
2023
pubmed:
16
3
2023
medline:
17
3
2023
Statut:
epublish
Résumé
Urban green spaces (UGS) can help mitigate hydrological impacts of urbanisation and climate change through precipitation infiltration, evapotranspiration and groundwater recharge. However, there is a need to understand how precipitation is partitioned by contrasting vegetation types in order to target UGS management for specific ecosystem services. We monitored, over one growing season, hydrometeorology, soil moisture, sapflux and isotopic variability of soil water under contrasting vegetation (evergreen shrub, evergreen conifer, grassland, larger and smaller deciduous trees), focussed around a 150-m transect of UGS in northern Scotland. We further used the data to develop a one-dimensional model, calibrated to soil moisture observations (KGE's generally > 0.65), to estimate evapotranspiration and groundwater recharge. Our results evidenced clear inter-site differences, with grassland soils experiencing rapid drying at the start of summer, resulting in more fractionated soil water isotopes. Contrastingly, the larger deciduous site saw gradual drying, whilst deeper sandy upslope soils beneath the evergreen shrub drained rapidly. Soils beneath the denser canopied evergreen conifer were overall least responsive to precipitation. Modelled ecohydrological fluxes showed similar diversity, with median evapotranspiration estimates increasing in the order grassland (193 mm) < evergreen shrub (214 mm) < larger deciduous tree (224 mm) < evergreen conifer tree (265 mm). The evergreen shrub had similar estimated median transpiration totals as the larger deciduous tree (155 mm and 128 mm, respectively), though timing of water uptake was different. Median groundwater recharge was greatest beneath grassland (232 mm) and lowest beneath the evergreen conifer (128 mm). The study showed how integrating observational data and simple modelling can quantify heterogeneities in ecohydrological partitioning and help guide UGS management.
Identifiants
pubmed: 36918498
doi: 10.1007/s10661-023-11055-6
pii: 10.1007/s10661-023-11055-6
pmc: PMC10014787
doi:
Substances chimiques
Soil
0
Water
059QF0KO0R
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
468Subventions
Organisme : Leverhulme Trust
ID : RPG-2018-375
Organisme : Leverhulme Trust
ID : RPG-2018-375
Organisme : Leverhulme Trust
ID : RPG-2018-375
Organisme : Leverhulme Trust
ID : RPG-2018-375
Informations de copyright
© 2023. The Author(s).
Références
Anshuman, A., Kunnath-Poovakka, A., & Eldho, T. I. (2021). Performance evaluation of conceptual rainfall-runoff models GR4J and AWBM. ISH Journal of Hydraulic Engineering, 27(4), 365–374. https://doi.org/10.1080/09715010.2018.1556124
doi: 10.1080/09715010.2018.1556124
Bai, T., Mayer, A. L., Shuster, W. D., & Tian, G. (2018). The hydrologic role of urban green space in mitigating flooding (Luohe, China). Sustainability, 10(10). https://doi.org/10.3390/su10103584
Burgess, S. S. O., Adams, M. A., Turner, N. C., Beverly, C. R., Ong, C. K., Khan, A. A. H., & Bleby, T. M. (2001). An improved heat pulse method to measure low and reverse rates of sapflow in woody plants. Tree Physiology, 21, 589–598. https://doi.org/10.1093/treephys/21.9.589
doi: 10.1093/treephys/21.9.589
Comte, J. C., Cassidy, R., Nitsche, J., Ofterdinger, U., Pilatova, K., & Flynn, R. (2012). The typology of Irish hard-rock aquifers based on integrated hydrogeological and geophysical approach. Hydrogeology Journal, 20(8), 1569–1588. https://doi.org/10.1007/s10040-012-0884-9
doi: 10.1007/s10040-012-0884-9
Cooper, A. E., Kirchner, J. W., Wolf, S., Lombardozzi, D. L., Sullivan, B. W., Tyler, S. W., & Harpold, A. A. (2020). Snowmelt causes different limitations in a Sierra Nevada conifer forest. Agricultural and Forest Meteorology, 291. https://doi.org/10.1016/j.agrformet.2020.108089
Dawes, W., Ali, R., Varma, S., Emelyanova, I., Hodgson, G., & McFarlane, D. (2012). Modelling the effects of climate and land cover on groundwater recharge in south-west Western Australia. Hydrology and Earth System Sciences, 16, 2709–2722. https://doi.org/10.5194/hess-16-2709-2012
doi: 10.5194/hess-16-2709-2012
Demand, D., Blume, T., & Weiler, M. (2019). Spatio-temporal relevance and controls of preferential flow at the landscape scale. Hydrology and Earth System Sciences, 23(11), 4869–4889. https://doi.org/10.5194/hess-23-4869-2019
doi: 10.5194/hess-23-4869-2019
Derzken, M. L., van Teeffelen, A. J. A., Nagdendra, H., & Verburg, P. H. (2017). Shifting roles of urban green space in the context of urban development and global change. Current Opinion in Environ Sustainability, 29, 32–39. https://doi.org/10.1016/j.cosust.2017.10.001
doi: 10.1016/j.cosust.2017.10.001
Desclaux, T., Lemonnier, H., Genthon, P., Soulard, B., & Gedre, R. (2018). Suitability of a lumped rainfall-runoff model for flashy tropical watersheds in New Caledonia. Hydrological Sciences Journal, 63(11), 1689–1706. https://doi.org/10.1080/02626667.2018.1523613
doi: 10.1080/02626667.2018.1523613
Dickenson, D. C., & Hobbs, R. J. (2017). Cultural ecosystem services: Characteristics, challenges and lessons for urban green space research. Ecosystem Services, 25, 179–194. https://doi.org/10.1016/j.ecoser.2017.04.014
doi: 10.1016/j.ecoser.2017.04.014
Dye, P., & Olbrich, B. W. (1993). Estimating transpiration from 6-year-old Eucalyptus grandis trees: Development of a canopy conductance model comparison with sap flux measurements. Plant, Cell and Environment, 16, 45–53. https://doi.org/10.1111/j.1365-3040.1993.tb00843.x
doi: 10.1111/j.1365-3040.1993.tb00843.x
Edina Digimap. (2022). Geology Data Download. Digimap. Available from: https://digimap.edina.ac.uk/roam/download/geology
Ehleringer, J. R., Barnette, J. E., Jameel, Y., Tipple, B. J., & Bowen, G. J. (2015). Urban water – a new frontier in isotope hydrology. Isotopes in Environmental and Health Studies, 52, 477–486. https://doi.org/10.1080/10256016.2016.1171217
doi: 10.1080/10256016.2016.1171217
Ellis, J. B. (2012). Sustainable surface water management and green infrastructure in UK urban catchment planning. Journal of Environmental Planning and Management, 56, 24–41. https://doi.org/10.1080/09640568.2011.648752
doi: 10.1080/09640568.2011.648752
Gao. G., Wang, D., Zha, T., Wang, L., & Fu, B. (2022). A global synthesis of transpiration rate and evapotranspiration partitioning in the shrub ecosystems. Journal of Hydrology, 606. https://doi.org/10.1016/j.jhydrol.2021.127417
Gillefalk, M., Tetzlaff, D., Hinelmann, R., Kuhlemann, L. M., Smith, A., Meier, F., Maneta, M. P., & Soulsby, C. (2021). Quantifying the effects of urban green space on water partitioning and ages using an isotope-based ecohydrological model. Hydrology and Earth System Sciences, 25, 3635–3652. https://doi.org/10.5194/hess-25-3635-2021
doi: 10.5194/hess-25-3635-2021
Güneralp, B., Günerlap, İ, & Liu, Y. (2015). Changing global patterns of urban exposure to flood and drought hazards. Global Environmental Change, 31, 217–225. https://doi.org/10.1016/j.gloenvcha.2015.01.002
doi: 10.1016/j.gloenvcha.2015.01.002
Guo, D., Westra, S., & Peterson, T. (2016). Evapotranspiration: Modelling Actual, Potential and Reference Crop Evapotranspiration. Environmental Modelling and Software, 78, 216–224. https://doi.org/10.1016/j.envsoft.2015.12.019
doi: 10.1016/j.envsoft.2015.12.019
Hughes, A., Mansour, M., Ward, R. Kieboom, N., Allen, S., Seccombe, D., Charlton, M., & Prudhomme, C. (2021). The impact of climate change on groundwater recharge: National-scale assessment for the British mainland. Journal of Hydrology, 598. https://doi.org/10.1016/j.jhydrol.2021.126336
Jasechko, S., Sharp, Z. D., Gibson, J. J., Birks, S. J., Yi, Y., & Fawcett, P. J. (2013). Terrestrial water fluxes dominated by transpiration. Nature, 496, 347–350. https://doi.org/10.1038/nature11983
doi: 10.1038/nature11983
Keese, K. E., Scanlon, B. R., & Reedy, R. C. (2005). Assessing controls on diffuse groundwater recharge using unsaturated flow modeling. Water Resources Research, 41(6). https://doi.org/10.1029/2004WR003841
Kim, J. H., & Jackson, R. B. (2012). A global analysis of groundwater recharge for vegetation, climate, and soils. Vadose Zone Journal, 11. https://doi.org/10.2136/vzj2011.0021RA
Kling, H., Fuchs, M., & Paulin, M. (2012). Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios. Journal of Hydrology., 424, 264–277. https://doi.org/10.1016/j.jhydrol.2012.01.011
doi: 10.1016/j.jhydrol.2012.01.011
Koeniger, P., Gaj, M., Beyer, M., & Himmelsbach, T. (2016). Review on soil water isotope-based groundwater recharge estimations. Hydrological Processes, 30, 2817–2834. https://doi.org/10.1002/hyp.10775
doi: 10.1002/hyp.10775
Kuhlemann, L. M., Tetzlaff, D., Smith, A., Kleinschmit, B., & Soulsby, C. (2021). Using soil water isotopes to infer the influence of contrasting urban green space on ecohydrological partitioning. Hydrology and Earth System Sciences, 25, 927–943. https://doi.org/10.5194/hess-25-927-2021
doi: 10.5194/hess-25-927-2021
Landwehr, J. M., & Coplen, T. B. (2006). Line-conditioned excess: a new method for characterizing stable hydrogen and oxygen isotope ratios in hydrologic systems. International conference on isotopes in environmental studies, IAEA Vienna. pp 132–135.
Leuschner, C., Förster, A., Diers, M., & Culmsee, H. (2022). Are northern German Scots pine plantations climate smart? The impact of large-scale conifer planting on climate soil and the water cycle. Forest Ecology and Management, 507. https://doi.org/10.1016/j.foreco.2022.120013
Levia, D. F., Nanko, K., Amasaki, H., Giambelluca, T. W., Hotta, N., Iida, S., Mudd, R. G., Nullet, M. A., Sakai, N., Shinohara, Y., Sun, X., Suzuki, M., Tanaka, N., Tantasirin, C., & Yamada, K. (2019). Throughfall partitioning by trees. Hydrological Processes, 33, 1698–1708. https://doi.org/10.1002/hyp.13432
doi: 10.1002/hyp.13432
Liu, L., Zhang, R., & Zuo, Z. (2016). The relationship between soil moisture and LAI in different types of soil in central eastern China. Journal of Hydrometeorology, 17(11), 2733–2742. https://doi.org/10.1175/JHM-D-15-0240.1
doi: 10.1175/JHM-D-15-0240.1
Marchionni, V., Revelli, R., & Daly, E. (2019). Ecohydrology of urban ecosystems. In P. D’Odorico & A. Porporato (Eds.), Dryland Ecohydrology (pp. 533–571). Springer.
doi: 10.1007/978-3-030-23269-6_20
Mathey, J., Rößler, S., Lehmann, I., & Bräuer, A. (2011). Urban green spaces: Potentials and constraints for urban adaption to climate change. In K. Otto-Zimmerman (Ed.), Resilient Cities (pp. 479–485). Springer.
doi: 10.1007/978-94-007-0785-6_47
Marx, C., Tetzlaff, D., Hinkelmann, R., & Soulsby, C. (2022). Seasonal variations in soil-plant interactions in contrasting urban green spaces: Insights from water stable isotopes. Journal of Hydrology, 612. https://doi.org/10.1016/j.jhydrol.2022.127998
Meili, N., Manoli, G., Burlando, P., Bou-Zeid, E., Chow, W. T. L., Coutts, A. M., Daly, E., Nice, K. A., Roth, M., Tapper, N. J., Velasco, E., Vivoni, E. R., & Fatichi, S. (2020). An urban ecohydrological model to quantify the effect of vegetation on urban climate and hydrology (U&C v1.0). Geoscientific Model Development, 13, 335–362. https://doi.org/10.5194/gmd-13-335-2020
doi: 10.5194/gmd-13-335-2020
Meteostat. (2022). Dyce weather station data. Meteostat. Available from: https://meteostat.net/en/station/03091
Miller, J. D., & Hutchins, M. (2017). The impacts of urbanisation and climate change on urban flooding and urban water quality: A review of the evidence concerning the United Kingdom. Journal of Hydrology Regional Studies, 12, 345–362. https://doi.org/10.1016/j.ejrh.2017.06.006
doi: 10.1016/j.ejrh.2017.06.006
Mukherjee, M., & Takara, K. (2018). Urban green space as a countermeasure to increasing urban risk and the UGS-3CC resilience framework. International Journal of Disaster Risk Reduction, 28, 854–861. https://doi.org/10.1016/j.ijdrr.2018.01.027
doi: 10.1016/j.ijdrr.2018.01.027
Murphy, P. N. C., Ogilvie, J., & Arp, P. (2009). Topographic modelling of soil moisture conditions: A comparison and verification of two models. European Journal of Soil Science, 60, 94–109. https://doi.org/10.1111/j.1365-2389.2008.01094.x
doi: 10.1111/j.1365-2389.2008.01094.x
Parizi, E., Hosseini, S. M., Ataie-Ashtiani, B., & Simmons, C. T. (2020). Normalized difference vegetation index as the dominant predicting factor of groundwater recharge in phreatic aquifers: Case studies across Iran. Scientific Report, 10, 01–19. https://doi.org/10.1038/s41598-020-74561-4
doi: 10.1038/s41598-020-74561-4
Pataki, D. E., McCarthy, H. R., Litvak, E., & Pincetl, S. (2011). Transpiration of urban forests in the Los Angeles metropolitan area. Ecological Applications, 21(3), 661–677. https://doi.org/10.1890/09-1717.1
doi: 10.1890/09-1717.1
Peters, E. B., Hiller, R. V., & McFadden, J. P. (2011). Seasonal contributions of vegetation types to suburban evapotranspiration. Journal of Geophysical Research, 116. https://doi.org/10.1029/2010JG001463
R Core Team. (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. Available from: https://www.R-project.org/
Rahman., M. A., Armson, D., & Ennos, A. R. (2015). A comparison of the growth and cooling effectiveness of five commonly planted urban tree species. Urban Ecosystems, 18(2), 371–389. https://doi.org/10.1007/s11252-014-0407-7
doi: 10.1007/s11252-014-0407-7
Rahman, M. A., Moser, A., Anderson, M., Zhang, C., Rötzer, T., & Pauleit, S. (2019). Comparing the infiltration potential of soils beneath the canopies of two contrasting urban tree species. Urban Forestry and Urban Greening, 38, 22–32. https://doi.org/10.1016/j.ufug.2018.11.002
doi: 10.1016/j.ufug.2018.11.002
Reyes-Riveros, R., Altamirano, A., De La Barrera, F., Rozas-Vásquez, D., Vieli, L., & Meli, P. (2021). Linking public urban green spaces and human well-being: A systematic review. Urban Forestry and Urban Greening, 61. https://doi.org/10.1016/j.ufug.2021.127105
Sánchez, F. G., Solecki, W. D., & Batalla, C. R. (2018). Climate change adaptation in Europe and the United States: A comparative approach to urban green spaces in Bilabao and New York City. Land Use Policy, 79, 164–173. https://doi.org/10.1016/j.landusepol.2018.08.010
doi: 10.1016/j.landusepol.2018.08.010
Schume, H., Jost, G., & Katzensteiner, K. (2003). Spatio-temporal analysis of the soil water content in a mixed Norway spruce (Picea abies (L.) Karst.)-European beech (Fagus sylvatica L.) stand. Geoderma, 112(4), 273–287. https://doi.org/10.1016/S0016-7061(02)00311-7
Šimůnek, J., Šejna, M., Saito, H., Sakai, M., & van Genuchten, M. T. (2013). The HYDRUS-1D software package for simulating the one-dimensional movement of water, heat, and multiple solutes in variably-saturated media (Version 4.17). Department of Environmental Sciences University of Riverside California, California.
Smith, A., Tetzlaff, D., Kleine, L., Maneta, M., & Soulsby, C. (2021). Quantifying the effects of land use and model scale on water partitioning and water ages using tracer-aided ecohydrological models. Hydrology and Earth System Sciences, 25, 2239–2259. https://doi.org/10.5194/hess-25-2239-2021
doi: 10.5194/hess-25-2239-2021
Smith, A. A., Tetzlaff, D., Marx, C., & Soulsby, C. (2023). Enhancing urban runoff modelling using water stable isotopes and ages in complex catchments. Hydrological Processes. https://doi.org/10.1002/hyp.14814
doi: 10.1002/hyp.14814
Soetaert, K., & Petzoldt, T. (2010). Inverse modelling, sensitivity and Monte Carlo analysis in R using package FME. Journal of Statistical Software, 33, 01–28. https://doi.org/10.18637/jss.v033.i03
University of Aberdeen. (2022). Cruickshank Botanical Garden. Available from: https://www.abdn.ac.uk/botanic-garden/
Wang, Y., Cao, G., Wang, Y., Webb, A. A., Yu, P., & Wang, X. 2019. Response of the daily transpiration of a larch plantation to variation in potential evaporation, leaf area index and soil moisture. Scientific Reports, 9. https://doi.org/10.1038/s41598-019-41186-1
Wang, S., Zhang, M., Che, Y., Chen, F., & Qiang, F. (2016). Contribution of recycled moisture to precipitation in oases of arid central Asia: A stable isotope approach. Water Resources Research, 52, 3246–3257. https://doi.org/10.1002/2015WR018135
doi: 10.1002/2015WR018135
Wang, P., Zheng, H., Ren, Z., Zhang, D., Zhai, C., Mao, Z., Tang, Z., & He, Z. (2018). Effects of urbanization, soil property and vegetation configuration on sol infiltration of urban forest in Changchun, NorthEast China. Chinese Geographical Science, 28, 482–494. https://doi.org/10.1007/s11769-018-0953-7
doi: 10.1007/s11769-018-0953-7
Yang, B., & Lee, D. K. (2021). Planning strategy for the reduction of runoff using urban green space. Sustainability, 13. https://doi.org/10.3390/su13042238
Zhang, X., & Song, P. (2021). Estimating urban evapotranspiration at 10m resolution using vegetation information from Sentinel-2: A case study for the Beijing Sponge City. Remote Sensing, 13. https://doi.org/10.3390/rs13112048
Zhang, D., Wang, Z., Guo, Q., Lian, J., & Chen, L. (2019). Increase and spatial variation in soil infiltration rates associated with fibrous and tap tree roots. Water, 11. https://doi.org/10.3390/w11081700