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Ecohydrological model for the quantification of ecosystem services provided by urban street trees

机译:生态水文模型,用于量化城市街道树木提供的生态系统服务

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Urban green spaces have been recognized as an important source of ecosystem services, whose quantification requires the determination of quantities related to energy, water, carbon and soil nutrient content. In this paper we propose a stochastic ecohydrological model that couples two existing models for water and nutrients in urban soil at the single street-tree scale. The model input are rainfall and irrigation, for water, and deposition and fertilization, for nitrogen, while the output are evapotranspiration, runoff and deep percolation, for water, and plant uptake and leaching, for nitrogen. The various terms are related to the amount of paved and impervious surfaces that surround the tree trunk and regulate the water and nutrient fluxes in and out the soil. Particular attention is paid to the effects of seasonal variations on plant water and nutrients through a temporal variation of the hydrologic variables (i.e., temperature and rainfall intensity and frequencies). The average model outputs are preliminarily compared with the scant existing literature data, supporting the model application to cities with different climatic conditions. The model results are used to estimate the potential for ecosystem services like tree cooling effects, soil carbon sequestration or storm-water management. Because of the minimal structure of the proposed model, it requires a very low amount of data, while accounting for the stochastic input of rainfall. In the context of climate change and increasing urbanization, the model may offer useful indications to urban planners to enhance ecosystem services while minimizing irrigation, fertilization and their related costs.
机译:城市绿地已被认为是生态系统服务的重要来源,其量化需要确定与能源,水,碳和土壤养分含量有关的数量。在本文中,我们提出了一个随机的生态水文模型,该模型结合了两个现有的单一街道树规模的城市土壤水和养分模型。模型输入为水的降雨和灌溉,氮的沉积和施肥,而水的蒸发蒸腾,径流和深层渗滤,氮的输出为植物吸收和淋滤。各种术语与围绕树干的铺面和不透水表面的数量有关,并调节土壤中和土壤中的水和养分通量。通过水文变量的时间变化(即温度,降雨强度和频率),应特别注意季节性变化对植物水分和养分的影响。将平均模型输出与很少的现有文献数据进行初步比较,从而支持将模型应用于具有不同气候条件的城市。模型结果用于估计生态系统服务的潜力,例如树木冷却效应,土壤碳固存或雨水管理。由于所提出模型的最小结构,因此它需要非常少量的数据,同时考虑了降雨的随机输入。在气候变化和日益城市化的背景下,该模型可为城市规划者提供有用的指示,以在减少灌溉,施肥及其相关成本的同时,增强生态系统服务。

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