Tracer‐aided ecohydrological modelling across climate, land cover, and topographical gradients in the tropics
Tracer‐aided ecohydrological modelling across climate, land cover, and topographical gradients in the tropics
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Tracer 辅助热带地区气候、土地覆盖和地形梯度的生态水文建模
DOI：
10.1002/hyp.14884
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发表时间：
2023
影响因子：
3.2
通讯作者：
Yoshimura, Kei
中科院分区：
文献类型：
--
作者：
Arciniega‐Esparza, Saul;Birkel, Christian;Durán‐Quesada, Ana María;Sánchez‐Murillo, Ricardo;Moore, Georgianne W.;Maneta, Marco P.;Boll, Jan;Negri, Laura Benegas;Tetzlaff, Dörthe;Yoshimura, Kei
<；jats：title>；Abstract<；Jats：p>；生态水文水分配到蒸发和蒸腾作用的定量估计主要是基于地块调查，这些调查使用了温带地区仪器齐全的小规模试验性集水区。在这里，我们试图升级和调整概念示踪剂辅助的生态水文学模型STARRtroics，以模拟哥斯达黎加热带集水区内每日时间步长和1公里大尺度(2565公里；JATS：SUP>；2)的水分配、示踪和储存动态。该模型由经偏差校正的区域气候模式输出驱动，并根据4个流量测量站2至30年的每日流量观测和46条溪流一年的月度溪水同位素记录进行了校准。最佳流量模拟的总体模型性能范围为KGE值在0.4到0.6之间，径流同位素的相关系数在0.3到0.45之间。更重要的是，独立的基于模型的蒸腾估计、点尺度停留时间估计和测量的地下水同位素显示出合理的模型性能和模拟的空间和时间模式，表明在集水区尺度上总体模型的现实性超过了源头性能的降低。模拟的流域系统以季节性低、降水量大的输入为主，地形坡度明显。气候驱动因素覆盖了较小的、依赖于土地覆盖的蒸腾通量，给出了看似均匀的降雨-径流优势，这可能与降雨同位素的模型输入偏差、潜在蒸散(PET)估计和平均叶面积指数(LAI)过于简单有关。地形的影响导致水源中的水和示踪剂通量更动态，在聚合集水区尺度上平均向下游更远。模拟的水源显示，与低地相比，其存储容量大了近一个数量级，与表面连接良好的地下水相比，低地的滞留时间也略长(>；250天)，这有助于缩短低地的径流停留时间(<；150天)。我们的发现证实，示踪剂辅助的生态水文模型，即使在数据稀缺的热带地区，也可以帮助获得关于水是如何被分割、储存和运输的时空动力学的第一个但至关重要的近似，超出了仅有几公里的实验集水区规模。
< jats: title> Abstract< jats: p> Quantitative 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 km< jats: sup> 2) 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 km< jats: sup> 2.
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中美洲和加勒比地区的气候变化
DOI：
10.1002/joc.3515
发表时间：
2013
期刊：
International Journal of Climatology
影响因子：
--
作者：
S. Hastenrath;D. Polzin
通讯作者：
D. Polzin
影响因子：
3.2
作者：
J. Knighton;S. Saia;C. Morris;Josephine A. Archiblad;M. Walter
通讯作者：
J. Knighton;S. Saia;C. Morris;Josephine A. Archiblad;M. Walter
影响因子：
6.7
作者：
S. Jasechko;R. Taylor
通讯作者：
S. Jasechko;R. Taylor
空间分布示踪剂辅助建模，探索原始潮湿热带流域中的水和同位素传输、储存和混合
影响因子：
3.2
作者：
J. Dehaspe;C. Birkel;D. Tetzlaff;R. Sánchez‐Murillo;A. Durán‐Quesada;C. Soulsby
通讯作者：
C. Soulsby
代表水流生成过程叠加的复合存储选择函数的流域行程时间
影响因子：
5.4
作者：
Nicolas B. Rodriguez;J. Klaus
通讯作者：
J. Klaus