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2020-07-17Zeitschriftenartikel DOI: 10.1029/2020GL088897
Critical Zone Storage Controls on the Water Ages of Ecohydrological Outputs
dc.contributor.authorKuppel, Sylvain
dc.contributor.authorTetzlaff, Doerthe
dc.contributor.authorManeta, Marco P.
dc.contributor.authorSoulsby, Chris
dc.date.accessioned2021-04-30T13:05:16Z
dc.date.available2021-04-30T13:05:16Z
dc.date.issued2020-07-17none
dc.date.updated2021-02-15T10:56:06Z
dc.identifier.urihttp://edoc.hu-berlin.de/18452/23529
dc.description.abstractSpatially explicit knowledge of the origins of water resources for ecosystems and rivers is challenging when using tracer data alone. We use simulations from a spatially distributed model calibrated by extensive ecohydrological data sets in a small, energy‐limited catchment, where hillslope‐riparian dynamics are broadly representative of humid boreal headwater catchments that are experiencing rapid environmental transition. We hypothesize that in addition to wetness status, landscape heterogeneity modulates the water pathways that sustain ecosystem function and streamflows. Simulations show that catchment storage inversely controls stream water ages year‐round, but only during the drier seasons for transpiration and soil evaporation. The ages of these evaporative outputs depend much less on wetness status in the oft‐saturated riparian soils than on the freely draining hillslopes that subsidize them. This work highlights the need to consider local dynamics and time‐changing lateral heterogeneities when interpreting the ages, and thus the vulnerability, of water resources feeding streams and ecosystems in landscapes.eng
dc.description.abstractKnowing how much time water spends in a landscape (its “age”) helps understanding how water travels through it. These dynamics inform of the stability of water resources for ecosystems and societies, and of their vulnerabilities under climate and land use changes. Water ages may vary depending on how wet or dry a location gets between seasons and years. We thus need to learn more about the demographics (“how much and how old?”) of the water used by plants, evaporated from soils, and flowing in streams, but it is often impossible to monitor the heterogeneity of water pathways within landscapes. Addressing this challenge, we used a numerical model built upon coupling ecohydrological processes and that maps landscape locations. We adjusted this model using multiple data sets in a catchment representative of humid boreal environments where climate and vegetation are rapidly changing. We found markedly different aging patterns between water escaping the system through the plants, soils, and stream, depending on water storage status. This changing duration of water movement also differs between the catchment as a whole and its parts. This method can be used to better understand the multiple ways in which water moves through landscapes, in current and future conditions.eng
dc.description.sponsorshipEC | FP7 | FP7 Ideas: European Research Council (FP7 Ideas) http://dx.doi.org/10.13039/100011199
dc.description.sponsorshipNational Aeronautics and Space Administration (NASA) http://dx.doi.org/10.13039/100000104
dc.description.sponsorshipNASA EPSCoR
dc.description.sponsorshipNASA Ecological Forecasting Program
dc.description.sponsorshipEuropean Research Council http://dx.doi.org/10.13039/501100000781
dc.description.sponsorshipOpen access funding enabled and organized by Projekt DEAL.
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550 Geowissenschaftennone
dc.titleCritical Zone Storage Controls on the Water Ages of Ecohydrological Outputsnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/23529-1
dc.identifier.doi10.1029/2020GL088897none
dc.identifier.doihttp://dx.doi.org/10.18452/22856
dc.type.versionpublishedVersionnone
local.edoc.container-titleGeophysical research letters : GRLnone
local.edoc.pages11none
local.edoc.type-nameZeitschriftenartikel
local.edoc.institutionMathematisch-Naturwissenschaftliche Fakultätnone
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
local.edoc.container-publisher-nameWileynone
local.edoc.container-publisher-placeHoboken, NJnone
local.edoc.container-volume47none
local.edoc.container-issue16none
dc.description.versionPeer Reviewednone
local.edoc.container-articlenumbere2020GL088897none
local.edoc.affiliationKuppel, S.; 1 Institut de Physique du Globe de Paris CNRS ‐ University of Paris Paris Francenone
local.edoc.affiliationManeta, M. P.; 6 Geosciences Department University of Montana Missoula MT USAnone
local.edoc.affiliationSoulsby, C.; 3 Northern Rivers Institute University of Aberdeen Aberdeen UKnone
local.edoc.affiliationTetzlaff, D: Department of Geography, Humboldt University Berlin, Berlin, Germany; Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany; Northern Rivers Institute, University of Aberdeen, Aberdeen, UK

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