高分辨率原位木质部和大气蒸气同位素数据是否有助于改善生态水文分配的模型估计?

IF 5.7 1区 农林科学 Q1 AGRONOMY
Christian Birkel , Dörthe Tetzlaff , Ann-Marie Ring , Chris Soulsby
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引用次数: 0

摘要

将降雨划分为不同来源的蒸发和蒸腾水是量化土地覆盖变化对水平衡影响的关键。然而,将生态水文分配分解为组分通量可能是模糊和不确定的,即使在有详细的小尺度测量的情况下也是如此。为了限制城市环境中单株树木尺度上的生态水文通量,我们结合了2022年4月至10月生长季节的水文气象、树液流、土壤水分、高分辨率原位植物木质部和大气蒸汽稳定同位素测量。这些数据与简洁的示踪辅助概念建模相结合。这些数据有助于分离出木质部和大气水蒸气从δ18O到δ2H的优先分馏变化的时间模式,主要取决于空气温度和相对湿度。模拟高分辨率原位同位素数据显示,截流、土壤蒸发和蒸腾水源对大气蒸汽的影响主要是局部的,特别是在干旱期,而湿润期则受到更多变化的非局部水分源的驱动。此外,与富集和分异的土壤水相比,树木水分储存模型不能解释高度可变和更耗尽的木质部同位素数据。尽管存在体积约束(在蒸腾测量不确定性范围内)生态水文分配,但大气蒸汽同位素数据表明,拦截和土壤蒸发蒸汽源的精细尺度变化可能对大气蒸汽混合物产生细微的影响。更复杂的模型土壤储量概念化(三种土壤储量)与极简的两种土壤储量模型的比较表明,根吸收深度的同位素区分是出了名的困难。尽管如此,土壤湿度、蒸腾和高分辨率原位同位素测量与建模的结合有助于增强我们对样地尺度植被介导的城市水文过程的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Does high resolution in situ xylem and atmospheric vapor isotope data help improve modeled estimates of ecohydrological partitioning?

Does high resolution in situ xylem and atmospheric vapor isotope data help improve modeled estimates of ecohydrological partitioning?
Ecohydrological partitioning of rainfall into different sources of evaporated and transpired water is crucial to quantify water balance impacts from land cover change. However, resolving ecohydrological partitioning into component fluxes can be ambiguous and uncertain, even where detailed, small-scale measurements are available. To constrain ecohydrological fluxes at the scale of an individual tree in an urban setting, we combined hydrometeorological, sap flow, soil water and high-resolution in situ plant xylem and atmospheric vapor stable isotope measurements over the growing season from April to October 2022. These data were integrated with parsimonious tracer-aided conceptual modeling. The data helped isolate temporal patterns of shifting preferential fractionation in xylem and atmospheric vapor from δ18O to δ2H mainly depending on air temperature and relative humidity. Modeling high-resolution in situ isotope data revealed the dominant local influence of interception, soil evaporation and transpired water sources on atmospheric vapor particularly during dry periods, whereas wet periods were driven by more variable non-local moisture sources. Additionally, modeling tree water storage did not explain the highly variable and more depleted xylem isotope data compared to enriched and fractionated soil water. Despite volumetrically constrained (within transpiration measurement uncertainty bounds) ecohydrological partitioning, the atmospheric vapor isotope data showed that fine-scale variations of interception and soil evaporation vapor sources can have nuanced impacts on the atmospheric vapor mixture. The comparison of a more complex conceptualization of modeled soil storages (three soil storages) with a minimalist two-storage model indicated the notoriously difficult isotopic discrimination of root water uptake depths. Nonetheless, the combination of soil moisture, transpiration and high-resolution in situ isotope measurements with modeling helped enhance our understanding of plot-scale vegetation-mediated urban hydrological processes.
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来源期刊
CiteScore
10.30
自引率
9.70%
发文量
415
审稿时长
69 days
期刊介绍: Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published. Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.
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