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  • Yang, Xiaoqiang  (4)
  • Maneta, Marco P.  (3)
  • Carey, Sean K.
  • Open access  (8)
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  • Open access  (8)
  • 1
    Online Resource
    Online Resource
    Upscaling Tracer‐Aided Ecohydrological Modeling to Larger Catchments: Implications for Process Representation and Heterogeneity in Landscape Organization (2023)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_27097
    Format: 1 Online-Ressource (22 Seiten)
    Content: Stable isotopes of water are ideal tracers to integrate into process‐based models, advancing ecohydrological understanding. Current tracer‐aided ecohydrological modeling is mostly conducted in relatively small‐scale catchments, due to limited tracer data availability and often highly damped stream isotope signals in larger catchments (〉100 km2). Recent model developments have prioritized better spatial representation, offering new potential for advancing upscaling in tracer‐aided modeling. Here, we adapted the fully distributed EcH2O‐iso model to the Selke catchment (456 km2, Germany), incorporating monthly sampled isotopes from seven sites between 2012 and 2017. Parameter sensitivity analysis indicated that the information content of isotope data was generally complementary to discharge and more sensitive to runoff partitioning, soil water and energy dynamics. Multi‐criteria calibrations revealed that inclusion of isotopes could significantly improve discharge performance during validations and isotope simulations, resulting in more reasonable estimates of the seasonality of stream water ages. However, capturing isotopic signals of highly non‐linear near‐surface processes remained challenging for the upscaled model, but still allowed for plausible simulation of water ages reflecting non‐stationarity in transport and mixing. The detailed modeling also helped unravel spatio‐temporally varying patterns of water storage‐flux‐age interactions and their interplay under severe drought conditions. Embracing the upscaling challenges, this study demonstrated that even coarsely sampled isotope data can be of value in aiding ecohydrological modeling and consequent process representation in larger catchments. The derived innovative insights into ecohydrological functioning at scales commensurate with management decision making, are of particular importance for guiding science‐based measures for tackling environmental changes.
    Content: Peer Reviewed
    In: [New York] : Wiley, 59,3
    Language: English
    DOI: 10.18452/26416
    DOI: 10.1029/2022WR033033
    URN: urn:nbn:de:kobv:11-110-18452/27097-5
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    HU Berlin
  • 2
    Online Resource
    Online Resource
    Integrating Tracers and Soft Data Into Multi‐Criteria Calibration: Implications From Distributed Modeling in a Riparian Wetland (2023)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_29229
    Format: 1 Online-Ressource (21 Seiten)
    ISSN: 0043-1397 , 1944-7973 , 0043-1397 , 1944-7973
    Content: Calibrating distributed hydrological models often leads to equifinality due to complex model structures, which can be further exacerbated in wetlands due to spatio‐temporal heterogeneity in ecohydrological processes. Here, step‐wise calibrations of the physically‐based distributed model EcH2O‐iso was conducted in a data‐rich wetland by minimizing a weighted average of the errors on discharge, stream isotopes, groundwater (GW) isotopes, and soil moisture. Results showed multi‐criteria calibration outperformed single‐criterion calibration as it strongly increased the overall performance, yet only marginally degraded performance of each calibration target. Isotopes were highlighted as appropriate auxiliary data as they effectively constrained the model with relatively small weights (0.1). However, those parameter sets that minimize the errors could still lead to physically implausible simulations of uncalibrated internal states or fluxes. This was further demonstrated by an approach developed to check internal fluxes based on soft data (transpiration and lateral flow), suggesting 54% of optimized models gave “right answers for the wrong reasons.” By excluding those models against soft data, such an approach further constrained equifinality, and unraveled potential inconsistencies between observations and calibration. Modeling represented the wetland as a slow‐draining system mainly fed by GW, but also influenced by near‐surface flow during winter or summer convectional events. Further, heterogeneity in hydrological functioning was partly attributed to distinct evapotranspiration patterns between contrasting vegetation communities. Therefore, this study not only provided insights into wetland functioning, but also revealed potential equifinality even with abundant data for calibration, and potential solutions based on the integration of isotopes and soft data.
    Content: Peer Reviewed
    In: [New York] : Wiley, 59,11, 0043-1397
    In: 1944-7973
    Language: English
    DOI: 10.18452/28610
    DOI: 10.1029/2023WR035509
    URN: urn:nbn:de:kobv:11-110-18452/29229-2
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    HU Berlin
  • 3
    Online Resource
    Online Resource
    Critical Zone Storage Controls on the Water Ages of Ecohydrological Outputs (2020)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_23529
    Format: 1 Online-Ressource (11 Seiten)
    Content: Spatially 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.
    Content: Knowing 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.
    Content: Peer Reviewed
    In: Hoboken, NJ : Wiley, 47,16
    Language: English
    DOI: 10.1029/2020GL088897
    DOI: 10.18452/22856
    URN: urn:nbn:de:kobv:11-110-18452/23529-1
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    HU Berlin
  • 4
    Online Resource
    Online Resource
    Visualizing catchment‐scale spatio‐temporal dynamics of storage‐flux‐age interactions using a tracer‐aided ecohydrological model (2022)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_25263
    Format: 1 Online-Ressource (3 Seiten)
    ISSN: 0885-6087 , 0885-6087
    Content: Peer Reviewed
    In: New York, NY : Wiley, 36,2, 0885-6087
    Language: English
    DOI: 10.1002/hyp.14460
    DOI: 10.18452/24586
    URN: urn:nbn:de:kobv:11-110-18452/25263-1
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    HU Berlin
  • 5
    Online Resource
    Online Resource
    What can we learn from multi-data calibration of a process-based ecohydrological model? (2018)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_19448
    Format: 1 Online-Ressource (16 Seiten)
    ISSN: 1364-8152 , 1364-8152
    Content: We assessed whether a complex, process-based ecohydrological model can be appropriately parameterized to reproduce the key water flux and storage dynamics at a long-term research catchment in the Scottish Highlands. We used the fully-distributed ecohydrological model EcH2O, calibrated against long-term datasets that encompass hydrologic and energy exchanges, and ecological measurements. Applying diverse combinations of these constraints revealed that calibration against virtually all datasets enabled the model to reproduce streamflow reasonably well. However, parameterizing the model to adequately capture local flux and storage dynamics, such as soil moisture or transpiration, required calibration with specific observations. This indicates that the footprint of the information contained in observations varies for each type of dataset, and that a diverse database informing about the different compartments of the domain, is critical to identify consistent model parameterizations. These results foster confidence in using EcH2O to contribute to understanding current and future ecohydrological couplings in Northern catchments.
    Content: Peer Reviewed
    Note: Nachgenutzt gemäß den CC-Bestimmungen des Lizenzgebers bzw. einer im Dokument selbst enthaltenen CC-Lizenz.
    In: Amsterdam : Elsevier, 101 (March 2018), Seiten 301-316, 1364-8152
    Language: English
    DOI: 10.18452/18735
    DOI: 10.1016/j.envsoft.2018.01.001
    URN: urn:nbn:de:kobv:11-110-18452/19448-3
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    HU Berlin
  • 6
    Online Resource
    Online Resource
    Identifying Dominant Processes in Time and Space: Time‐Varying Spatial Sensitivity Analysis for a Grid‐Based Nitrate Model (2022)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_26458
    Format: 1 Online-Ressource (23 Seiten)
    Content: Distributed models have been increasingly applied at finer spatiotemporal resolution. However, most diagnostic analyses aggregate performance measures in space or time, which might bias subsequent inferences. Accordingly, this study explores an approach for quantifying the parameter sensitivity in a spatiotemporally explicit way. We applied the Morris method to screen key parameters within four different sampling spaces in a grid‐based model (mHM‐Nitrate) for NO3‐N simulation in a mixed landuse catchment using a 1‐year moving window for each grid. The results showed that an overly wide range of aquatic denitrification rates could mask the sensitivity of the other parameters, leading to their spatial patterns only related to the proximity to outlet. With adjusted parameter space, spatial sensitivity patterns were determined by NO3‐N inputs and hydrological transport capacity, while temporal dynamics were regulated by annual wetness conditions. The relative proportion of parameter sensitivity further indicated the shifts in dominant hydrological/NO3‐N processes between wet and dry years. By identifying not only which parameter(s) is(are) influential, but where and when such influences occur, spatial sensitivity analysis can help evaluate current model parameterization. Given the marked sensitivity in agricultural areas, we suggest that the current NO3‐N parameterization scheme (land use‐dependent) could be further disentangled in these regions (e.g., into croplands with different rotation strategies) but aggregated in non‐agricultural areas; while hydrological parameterization could be resolved into a finer level (from spatially constant to land use‐dependent especially in nutrient‐rich regions). The spatiotemporal sensitivity pattern also highlights NO3‐N transport within soil layers as a focus for future model development.
    Content: Peer Reviewed
    In: [New York] : Wiley, 58,8
    Language: English
    DOI: 10.18452/25789
    DOI: 10.1029/2021WR031149
    URN: urn:nbn:de:kobv:11-110-18452/26458-1
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    HU Berlin
  • 7
    Online Resource
    Online Resource
    Spatially distributed tracer-aided runoff modelling and dynamics of storage and water ages in a permafrost-influenced catchment / (2019)
    Berlin :Humboldt-Universität zu Berlin,
    Details
    UID:
    almahu_BV045910230
    Format: 1 Online-Ressource.
    Language: English
    DOI: 10.18452/20607
    URN: urn:nbn:de:kobv:11-110-18452/21386-3
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    HU Berlin
  • 8
    Online Resource
    Online Resource
    Disentangling the Influence of Landscape Characteristics, Hydroclimatic Variability and Land Management on Surface Water NO3-N Dynamics: Spatially Distributed Modeling Over 30 yr in a Lowland Mixed Land Use Catchment (2022)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_29754
    Format: 1 Online-Ressource (20 Seiten)
    Content: Nitrate (NO3-N) mobilization is generally controlled by available sources, hydrological connectivity, and biogeochemical transformations along the dominant flow paths. However, their spatial heterogeneity and complex interactions often impede integrated understanding of NO3-N dynamics at the catchment scale. To fully integrate spatiotemporal information for NO3-N simulations, a grid-based model, mHM-Nitrate, was applied to a 68 km2 lowland, mixed land use catchment (Demnitzer Millcreek, DMC) near Berlin. The model successfully captured the spatiotemporal distribution of flow and NO3-N between 2001 and 2019, but was less successful in 1992–2000 due to land management changes. Re-optimization of relative parameters was subsequently conducted for this period to understand management effects. The simulated results revealed landscape characteristics and hydroclimatic variability as the main controlling factors on respective spatial and temporal patterns. The combined effects of vegetation cover and fertilizer inputs dictated the spatial distribution of water and NO3-N fluxes, while wetness condition determined the temporal NO3-N dynamics by regulating hydrological connectivity and NO3-N mobilization. Denitrification was also closely coupled with hydroclimatic conditions, which accounted for ∼20% of NO3-N inputs. In contrast, restoration of riparian wetlands had a modest impact on NO3-N export (∼10% reduction during 2001–2019), suggesting further interventions (e.g., reducing fertilizer application or increased wetland areas) are needed. Our modeling application demonstrated that mHM-Nitrate could provide robust spatially distributed simulations of hydrological and NO3-N fluxes over a long-term period and could successfully differentiate the key controlling factors. This underlines the model's value in contributing to an evidence base to guide future management practices under climate change.
    Content: Peer Reviewed
    In: [New York] : Wiley, 58,2
    Language: English
    DOI: 10.18452/29128
    DOI: 10.1029/2021WR030566
    URN: urn:nbn:de:kobv:11-110-18452/29754-7
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    HU Berlin
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