Urban tree drought stress: Sap flow measurements, model validation, and water management simulations

IF 8.2 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Science of the Total Environment Pub Date : 2024-11-16 DOI:10.1016/j.scitotenv.2024.177221
Laura Tams, Eva Paton, Björn Kluge
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Abstract

Urban street trees face increasing drought stress due to climate change and continuous urban development, making effective water management strategies essential. This study monitored the transpiration and soil moisture dynamics of five urban Tilia cordata trees in Berlin over two consecutive years to understand their transpiration responses under varying urban conditions. The collected data were used to validate the URbanTRee model, which was then applied to simulate different passive irrigation scenarios (system-to-catchment ratios ≤ 1:3) and assess their effectiveness in mitigating drought stress.
The URbanTRee model successfully captured seasonal variations in transpiration and soil moisture, identifying all major drought stress periods in 2022, although underestimations were observed towards the end of the season. At the hourly scale, the model reasonably depicted reductions in transpiration during shaded hours on clear-sky days (measured by 55–66 %; modelled by 35–60 %), but overestimations of modelled ETa during hours with partial shading or air temperatures above 30 °C suggest room for improvement.
The scenario analysis further demonstrated that, depending on catchment type and tree water demand, system-to-catchment ratios of 1:1–1:2 can substantially decrease, but not fully eliminate drought stress for young urban trees in dry years. These findings highlight the importance of considering site-specific conditions and the limitations of passive irrigation when planning sustainable water management strategies for young urban trees.
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城市树木干旱胁迫:树液流测量、模型验证和水资源管理模拟。
由于气候变化和城市的不断发展,城市行道树面临着越来越大的干旱压力,因此必须采取有效的水分管理策略。这项研究连续两年监测了柏林五棵城市行道树的蒸腾作用和土壤水分动态,以了解它们在不同城市条件下的蒸腾响应。收集到的数据被用于验证 URbanTRee 模型,然后应用该模型模拟不同的被动灌溉方案(系统与集水区之比≤ 1:3),并评估其缓解干旱压力的效果。URbanTRee 模型成功捕捉了蒸腾作用和土壤水分的季节变化,识别了 2022 年的所有主要干旱胁迫期,但在季节末期出现了低估。在小时尺度上,该模型合理地描述了晴天遮阳时段的蒸腾量减少(测量值为 55-66%;模型值为 35-60%),但在部分遮阳或气温高于 30 °C 的时段,模型的蒸腾量a 被高估,这表明还有改进的余地。情景分析进一步表明,根据集水区类型和树木需水量,1:1-1:2 的系统与集水区比率可大幅降低干旱年份城市幼树的干旱压力,但不能完全消除这种压力。这些研究结果突出表明,在规划城市幼树的可持续水资源管理策略时,必须考虑具体地点的条件和被动灌溉的局限性。
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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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