Tracer‐aided ecohydrological modelling across climate, land cover, and topographical gradients in the tropics

Author:

Arciniega‐Esparza Saul12ORCID,Birkel Christian134ORCID,Durán‐Quesada Ana María56,Sánchez‐Murillo Ricardo7ORCID,Moore Georgianne W.8,Maneta Marco P.9,Boll Jan10,Negri Laura Benegas4,Tetzlaff Dörthe1112ORCID,Yoshimura Kei13,Soulsby Chris3ORCID

Affiliation:

1. Department of Geography and Water and Global Change Observatory University of Costa Rica San José Costa Rica

2. Hydrogeology Group, Faculty of Engineering Universidad Nacional Autónoma de México Mexico City Mexico

3. Northern Rivers Institute University of Aberdeen Aberdeen UK

4. Centro Agronómico Tropical de Investigación y Enseñanza (CATIE) Turrialba Costa Rica

5. Centro de Investigaciones Geofísicas, CIGEFI Universidad de Costa Rica San José Costa Rica

6. Centro de Investigación en Contaminación Ambiental, CICA Universidad de Costa Rica San José Costa Rica

7. Department of Earth and Environmental Sciences University of Texas at Arlington Arlington Texas USA

8. Department of Biology Georgia Southern University Statesboro Georgia USA

9. Department of Geosciences University of Montana Missoula Montana USA

10. Civil and Environmental Engineering Washington State University Pullman Washington USA

11. Leibnitz‐Institut für Gewasserökologie und Binnenfischerei (IGB) Berlin Germany

12. Humboldt Universitaet zu Berlin Berlin Germany

13. University of Tokyo Tokyo Japan

Abstract

AbstractQuantitative estimations of ecohydrological water partitioning into evaporation and transpiration remains mostly based on plot‐scale investigations that use well‐instrumented, small‐scale experimental catchments in temperate regions. Here, we attempted to upscale and adapt the conceptual tracer‐aided ecohydrology model STARRtropics to simulate water partitioning, tracer, and storage dynamics over daily time steps and a 1‐km grid larger‐scale (2565 km2) in a sparsely instrumented tropical catchment in Costa Rica. The model was driven by bias‐corrected regional climate model outputs and was simultaneously calibrated against daily discharge observations from 2 to 30 years at four discharge gauging stations and a 1‐year, monthly streamwater isotope record of 46 streams. The overall model performance for the best discharge simulations ranged in KGE values from 0.4 to 0.6 and correlation coefficients for streamflow isotopes from 0.3 to 0.45. More importantly, independent model‐derived transpiration estimates, point‐scale residence time estimates, and measured groundwater isotopes showed reasonable model performance and simulated spatial and temporal patterns pointing towards an overall model realism at the catchment scale over reduced performance in the headwaters. The simulated catchment system was dominated by low‐seasonality and high precipitation inputs and a marked topographical gradient. Climatic drivers overrode smaller, landcover‐dependent transpiration fluxes giving a seemingly homogeneous rainfall‐runoff dominance likely related to model input bias of rainfall isotopes, oversimplistic Potential Evapotranspiration (PET) estimates and averaged Leaf Area Index (LAI). Topographic influences resulted in more dynamic water and tracer fluxes in the headwaters that averaged further downstream at aggregated catchment scales. Modelled headwaters showed greater storage capacity by nearly an order of magnitude compared to the lowlands, which also favoured slightly longer residence times (>250 days) compared to superficially well‐connected groundwater contributing to shorter streamflow residence times (<150 days) in the lowlands. Our findings confirm that tracer‐aided ecohydrological modelling, even in the data‐scarce Tropics, can help gain a first, but crucial approximation of spatio‐temporal dynamics of how water is partitioned, stored and transported beyond the experimental catchment scale of only a few km2.

Funder

Leverhulme Trust

Publisher

Wiley

Subject

Water Science and Technology

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