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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >The application of a coupled hydrological and biogeochemical model (CHANGE) for modeling of energy, water,and CO_2 exchanges over a larch forest in eastern Siberia
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The application of a coupled hydrological and biogeochemical model (CHANGE) for modeling of energy, water,and CO_2 exchanges over a larch forest in eastern Siberia

机译：水文和生物地球化学耦合模型（CHANGE）在西伯利亚东部落叶松林能源，水和CO_2交换模型中的应用

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A coupled hydrological and biogeochemical model (CHANGE) that evaluates heat, water, and CO_2 exchange between the biosphere and atmosphere across a spectrum of various time and space scales is described in this paper. The CHANGE model, which merges important components and functions in Arctic terrestrial ecosystems, is a process model with a self‐constrained nature that is based on a complex and nonlinear interplay among hydrological, physiological, biochemical, ecological, and edaphic factors and meteorological conditions. This model was applied to a larch forest in eastern Siberia for the period of 1998–2006. A key objective was to assess the seasonal and interannual variability of the surface water, energy, and carbon fluxes over the larch forest in order to understand the responses of this ecosystem to climate change and to provide their controlling factors. Two types of simulations were performed with half‐hourly and daily forcing data, and temporal correlation and other statistical measures supported the agreement between the simulations and observations. The simulated annual evapotranspiration (ET) ranged from 125 to 196 mm with a mean of 164 mm, 67% of which was contributed by transpiration. The simulated annual mean net ecosystemexchange (NEE) was -138.6 g C m~(-2)y~(-1) with a range of -79 to -195 g C m~(-2)y~(-1). The NEE variation was closely correlated with the net primary production (NPP). The simulation showed 23–43% interannual variability in heterotrophic respiration (Rh) for a mean of 273.1 g C m~(-2)y~(-1). Soil water was found to be a determinant that influences ET and CO_2 fluxes in the larch forest. NEE was largely correlated to precipitation (PG). Thicker snow depth in the previous winter season contributed to higher NEE. The contribution of snow depth to NEE was significant in the dry years. The combination of summer PG and snow water resulted in higher NEE, which was found since 2004. In dry years, the access of roots to soil‐thawed water alleviated soil water deficit and contributed to ecosystem net C uptake. The model sensitivity addressed the potential importance of the dynamic soil organic carbon on soil temperature.
机译：本文描述了一种耦合的水文和生物地球化学模型（CHANGE），该模型评估了跨各种时空尺度的生物圈与大气之间的热，水和CO_2交换。 CHANGE模型融合了北极陆地生态系统中的重要组成部分和功能，是一种具有自约束性质的过程模型，该模型基于水文，生理，生化，生态和生态因素与气象条件之间的复杂且非线性的相互作用。该模型已应用于1998-2006年期间西伯利亚东部的落叶松林。一个主要目标是评估落叶松森林上空的地表水，能量和碳通量的季节性和年际变化，以了解该生态系统对气候变化的响应并提供其控制因素。使用半小时和每日强迫数据进行了两种类型的模拟，时间相关性和其他统计量度支持了模拟和观测之间的一致性。模拟的年蒸散量（ET）范围为125至196 mm，平均为164 mm，其中67％是由蒸腾作用贡献的。模拟的年平均净生态系统交换量（NEE）为-138.6 g C m〜（-2）y〜（-1），范围为-79至-195 g C m〜（-2）y〜（-1）。 NEE变化与净初级生产（NPP）密切相关。模拟显示异养呼吸（Rh）的年际变化为23–43％，平均值为273.1 g C m〜（-2）y〜（-1）。发现土壤水是影响落叶松林中ET和CO_2通量的决定因素。 NEE与降水（PG）在很大程度上相关。前一个冬季的较厚雪深造成了较高的NEE。在干旱年份，积雪深度对NEE的贡献很大。夏季PG和雪水的结合导致较高的NEE，这是2004年以来发现的。在干旱年份，根系进入土壤融化的水可减轻土壤缺水并促进生态系统净C吸收。模型的敏感性解决了动态土壤有机碳对土壤温度的潜在重要性。

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