Trade‐Offs in Constraining Evapotranspiration Estimates in Complex Landscapes Using a Tracer‐Aided Ecohydrological Model

ABSTRACT Evapotranspiration (ET) links vegetation and soils to the atmosphere and can be the dominant water flux in many areas. Whilst the estimation of ET can be constrained by different observations (e.g., discharge, stable water isotopes, remote sensing products etc.), their information content differs and their trade‐offs in model calibration are usually unknown. This is particularly the case in ET‐dominated, intensively managed catchments where ET strongly affects water supply and ecosystem services. Here, we investigated the heavily‐managed Middle Spree catchment (MSC, ~2800 km 2 ) in NE Germany, a sub‐basin of the River Spree that includes the large Spreewald wetland (~472 km 2 ) and serves as a key water resource for Berlin. The catchment is strongly impacted by groundwater abstraction and drainage. We applied multiple calibration schemes that combined different observations in a tracer‐aided, spatially distributed catchment model (STARR) over a 20‐year period, to investigate linkages between ecohydrological functioning and ET processes. Importantly, trade‐offs among performance metrics were subsequently analysed in the solution space of multi‐variable calibrations using Shapley additive explanation (SHAP) analysis. We found that discharge and temporal ET patterns can constrain water balance volumes, though their influence was modulated by ET‐dominated wetlands and human management. In contrast, incorporating spatial ET patterns and isotopic observations led to more plausible spatial representations of hydrological processes (i.e., ET and subsurface storage). Isotopic data uniquely captured relative contributions of evaporation and transpiration to total ET (ET partitioning). However, the constraining power of these observations was limited by trade‐offs, which were reflected in contrasting hydrological processes. The wetlands and human management could also influence these constraints. Although multiple calibration schemes revealed competing hypotheses of local hydrological functioning, they collectively provided richer and more integrated insights into how human management influences ecohydrological functioning in complex ET‐dominated catchments.

Authors

Institutions

Publication Details

Journal
Hydrological Processes
Published
2026-06-25
DOI
https://doi.org/10.1002/hyp.70625
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trade‐Offs in Constraining Evapotranspiration Estimates in Complex Landscapes Using a Tracer‐Aided Ecohydrological Model

Songjun Wu, Tobias Goldhammer, Christian Birkel, Christian Marx et al.
Hydrological Processes
Hydrology and Watershed Management Studies
article

Trade‐Offs in Constraining Evapotranspiration Estimates in Complex Landscapes Using a Tracer‐Aided Ecohydrological Model

Songjun Wu, Tobias Goldhammer, Christian Birkel, Christian Marx, Hanwu Zheng, Chris Soulsby, Doerthe Tetzlaff
article en

Abstract

ABSTRACT Evapotranspiration (ET) links vegetation and soils to the atmosphere and can be the dominant water flux in many areas. Whilst the estimation of ET can be constrained by different observations (e.g., discharge, stable water isotopes, remote sensing products etc.), their information content differs and their trade‐offs in model calibration are usually unknown. This is particularly the case in ET‐dominated, intensively managed catchments where ET strongly affects water supply and ecosystem services. Here, we investigated the heavily‐managed Middle Spree catchment (MSC, ~2800 km 2 ) in NE Germany, a sub‐basin of the River Spree that includes the large Spreewald wetland (~472 km 2 ) and serves as a key water resource for Berlin. The catchment is strongly impacted by groundwater abstraction and drainage. We applied multiple calibration schemes that combined different observations in a tracer‐aided, spatially distributed catchment model (STARR) over a 20‐year period, to investigate linkages between ecohydrological functioning and ET processes. Importantly, trade‐offs among performance metrics were subsequently analysed in the solution space of multi‐variable calibrations using Shapley additive explanation (SHAP) analysis. We found that discharge and temporal ET patterns can constrain water balance volumes, though their influence was modulated by ET‐dominated wetlands and human management. In contrast, incorporating spatial ET patterns and isotopic observations led to more plausible spatial representations of hydrological processes (i.e., ET and subsurface storage). Isotopic data uniquely captured relative contributions of evaporation and transpiration to total ET (ET partitioning). However, the constraining power of these observations was limited by trade‐offs, which were reflected in contrasting hydrological processes. The wetlands and human management could also influence these constraints. Although multiple calibration schemes revealed competing hypotheses of local hydrological functioning, they collectively provided richer and more integrated insights into how human management influences ecohydrological functioning in complex ET‐dominated catchments.

Hydrological ProcessesVol. 40(7)
University of Aberdeen (GB), Universidad de Costa Rica (CR), Humboldt-Universität zu Berlin (DE), Leibniz Institute of Freshwater Ecology and Inland Fisheries (DE)
Deutsche Forschungsgemeinschaft
Clean water and sanitation
Openalex Percentile: Top 13%
Hydrology and Watershed Management Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.