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COVID-19 induced reduction of fossil-fuel emissions in 2020 altered the seasonal cycle of atmospheric CO2 at high latitudes 2019冠状病毒病导致2020年化石燃料排放减少,改变了高纬度地区大气二氧化碳的季节性循环
IF 6.2 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-02-17 DOI: 10.1016/j.agrformet.2026.111071
Yanchen Gui, Kai Wang, Zhe Jin, Qiang Zhang, Qingyang Xiao, Philippe Ciais, Chris Huntingford, Josep Peñuelas, Shilong Piao
The seasonal cycle of atmospheric CO2 is commonly assumed to be dominated by terrestrial carbon uptake and minimally affected by fossil-fuel CO2 emissions (FF). However, the magnitude and extent of the influence of FF on the CO2 seasonal cycle remain elusive. In the first half of year 2020, the outbreak of the coronavirus disease 2019 led to large reductions in FF, providing a testbed for understanding the impact of FF on the CO2 seasonal cycle. Here, we utilized CO2 observations from the global surface network and conducted atmospheric transport simulations with daily FF data to assess the effects of FF reductions in 2020 on the CO2 seasonal cycle. We first found widespread increases of 1.10 ± 0.67 ppm in the CO2 seasonal cycle amplitude (SCA) at high-latitude sites in 2020 compared to 2018−2019, which were equal to 170 ± 11% of the inter-annual variability of detrended SCA over the previous 20 years. Further, we attribute FF reductions to 0.43 ± 0.12 ppm of the observed SCA increases at high-latitude sites in 2020. At the Barrow site, FF reductions account for 31.9% of the SCA increase in 2020. The critical impact of FF on SCA increase does not suggest a larger decline in FF at high latitudes than mid-latitudes. Rather, the FF contributes more to SCA anomalies in magnitude at mid-latitudes than high latitudes. The localized impacts of anomalies in land-atmosphere carbon exchange fluxes generally exceeded the FF impacts on SCA anomalies at mid-latitudes, inducing varying changes in SCA across different mid-latitude sites. Our study thus presents a framework that may be extended further, where the knowledge of FF for the year 2020 versus other years, enables refinement of how atmospheric CO2 concentration vary seasonally.
大气CO2的季节循环通常被认为是由陆地碳吸收主导的,受化石燃料CO2排放(FF)的影响最小。然而,FF对CO2季节周期影响的大小和程度仍然难以捉摸。2020年上半年,2019年冠状病毒病的爆发导致FF大幅减少,为了解FF对二氧化碳季节周期的影响提供了一个测试平台。本研究利用全球地表网络的CO2观测数据,利用每日FF数据进行大气输送模拟,以评估2020年FF减少对CO2季节周期的影响。我们首先发现,与2018 - 2019年相比,2020年高纬度地区CO2季节周期振幅(SCA)普遍增加了1.10±0.67 ppm,相当于过去20年无趋势SCA年际变率的170±11%。此外,我们将2020年高纬度地区观测到的SCA增加的0.43±0.12 ppm归因于FF的减少。在巴罗工厂,2020年,FF的减少占SCA增长的31.9%。FF对SCA增加的关键影响并不表明高纬度地区FF的下降幅度大于中纬度地区。相反,FF对中纬度地区SCA异常的贡献大于高纬度地区。中纬度地区陆地-大气碳交换通量异常对SCA异常的局域影响普遍超过FF对SCA异常的影响,导致不同中纬度站点SCA的变化不同。因此,我们的研究提出了一个可以进一步扩展的框架,其中2020年与其他年份的FF知识可以细化大气二氧化碳浓度的季节性变化。
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引用次数: 0
Carbon dioxide and water vapour fluxes in a heathland and an evergreen forest in the temperate zone under contrasting annual and seasonal meteorological and environmental conditions 在不同的年度和季节气象和环境条件下,温带石南和常绿森林中的二氧化碳和水蒸气通量
IF 6.2 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-02-16 DOI: 10.1016/j.agrformet.2026.111070
Mahum Naseer, Marilyn Roland, Fran Lauriks, Nicola Arriga, Bert Gielen, Ivan A. Janssens, Matteo Campioli
Temperate heathlands represent an important and protected biome in Europe. Yet, their environmental regulation in terms of carbon (C) and water vapour fluxes is understudied. Using the eddy covariance (EC) technique, we analyzed the seasonal and inter-annual CO2 and water vapour fluxes of a temperate heathland (dominated by Calluna vulgaris L. ca. 45 years old) and compared them to the ones of an evergreen forest (dominated by Pinus sylvestris L. ca. 90 years old) in Flanders, Belgium, between 2021 and 2023. The year 2022 presented a severe summer drought whereas the years 2021 and 2023 presented wet summers but dry springs. The forest was a consistent CO2 sink (-216 ± 61 gC m-2 y-1) compared to the heathland which was on average a small source (29 ± 9 gC m-2 y-1). Conversely, because of the lower evapotranspiration, the heathland showed larger water drainage than the forest (519 vs. 403 mm y-1, respectively) and therefore larger ground water recharge. Despite the similar meteorology and soil, the heathland presented consistently lower soil water content than the forest and marked drought impacts such as sharp decline in CO2 uptake and in evapotranspiration. The forest was less affected by drought, likely because Scots pine trees can access deep soil water thanks to their deep root system. These conditions resulted in the water use efficiency for the growing season being higher for the forest. Overall, this study describes a unique datasets of CO2 and water vapour fluxes for the temperate heathland ecosystem. It shows that, compared to the forest, the heathland presented an expected larger water rechange, lower than expected C sequestration potential and larger than expected sensitivity of CO2 fluxes to drought.
温带荒原是欧洲重要的受保护生物群落。然而,它们在碳(C)和水蒸气通量方面的环境调节尚未得到充分研究。利用涡动相关(EC)技术,分析了比利时法兰德斯温带石南草原(45年生Calluna vulgaris L.)和常绿松林(90年生Pinus sylvestris L.) 2021 - 2023年的季节和年际CO2和水汽通量。2022年夏季严重干旱,而2021年和2023年夏季潮湿,春季干燥。森林是一个稳定的CO2汇(-216±61 gC m-2 y-1),而石南荒原的平均CO2汇(29±9 gC m-2 y-1)较小。相反,由于蒸腾量较低,石南荒原的排水量比森林大(分别为519 mm -1比403 mm -1),因此地下水补给量也较大。尽管气象和土壤条件相似,但石南荒原的土壤含水量始终低于森林,并且受到明显的干旱影响,如CO2吸收和蒸散量急剧下降。森林受干旱的影响较小,可能是因为苏格兰松树的根系较深,可以获得深层土壤水分。这些条件导致森林生长季节的水分利用效率较高。总的来说,本研究描述了温带荒原生态系统的二氧化碳和水蒸气通量的独特数据集。结果表明,与森林相比,石楠荒原表现出预期的更大的回水量、低于预期的碳固存潜力和大于预期的CO2通量对干旱的敏感性。
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引用次数: 0
Reevaluating the contribution of grain for green program to GPP in the Loess Plateau: Insights from a process-based model 黄土高原退耕还林对GPP贡献的再评价:基于过程模型的启示
IF 6.2 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-02-15 DOI: 10.1016/j.agrformet.2026.111048
Qiaoli Wu, Xinyang Zhang, Shaoyuan Chen, Trevor F. Keenan, Wei He, Li Wang, Jie Jiang
Gross primary production (GPP) has increased substantially across the China’s Loess Plateau (LP) over the past two decades, a trend widely attributed to vegetation greening driven by land use and land cover change (LUCC), particularly the Grain to Green Program (GGP). However, most existing studies rely on statistical or machine learning approaches, limiting mechanistic understanding. Here, we combined a process-based ecosystem model with Shapley value attribution and multi-source observations to quantify the drivers of GPP dynamics in the LP from 2001 to 2019. We found that 84% of the LP exhibited significant greening without LUCC, indicating that climate and other environmental changes-rather than LUCC or the GGP alone-dominanted regional greening. The combined effects of climate change and CO2 fertilization explained ∼79% of the GPP increase, through both direct enhancement of photosynthetic rate (∼1.28 Tg C yr-2) and indirect increase in leaf area index (∼5.07 Tg C yr-2). Notably, in contrast to previous studies, we detected a small but spatially widespread negative impact of TEMP on GPP, whereas declining vapor pressure deficit exerted a positive influence. The GGP contributed ∼11.3% of the GPP increase (∼0.95 Tg C yr-2), primarily by altering vegetation structure across ∼9.5% of the LP’s area, while other LUCC events accounting for the remaining ∼9.7% of the GPP increase. These findings offer new insights into the relative roles of climatic and anthropogenic drivers of ecosystem productivity and provide mechanistic evidence to inform future ecological restoration and land management strategies.
近20年来,中国黄土高原(LP)的初级生产总值(GPP)大幅增加,这一趋势被广泛归因于土地利用和土地覆盖变化(LUCC),特别是粮食退耕还林计划(GGP)推动的植被绿化。然而,大多数现有研究依赖于统计或机器学习方法,限制了机制理解。在此,我们将基于过程的生态系统模型与Shapley值归因和多源观测相结合,量化了2001 - 2019年LP中GPP动态的驱动因素。研究发现,在没有土地利用/土地覆盖变化的情况下,84%的低海拔地区出现了显著的绿化,这表明气候和其他环境变化——而不是单纯的土地利用/土地覆盖变化或GGP——主导了区域绿化。通过直接提高光合速率(~ 1.28 Tg C /年-2)和间接增加叶面积指数(~ 5.07 Tg C /年-2),气候变化和CO2施肥的综合效应解释了GPP增加的~ 79%。值得注意的是,与以往的研究相比,我们发现温度对GPP的负面影响很小,但在空间上广泛存在,而蒸汽压赤字的下降对GPP产生了积极影响。GGP贡献了GPP增加的~ 11.3% (~ 0.95 Tg C -年-2),主要是通过改变LP面积的~ 9.5%的植被结构,而其他LUCC事件占GPP增加的其余~ 9.7%。这些发现为了解气候和人为驱动因素对生态系统生产力的相对作用提供了新的见解,并为未来的生态恢复和土地管理策略提供了机制证据。
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引用次数: 0
Global patterns and biophysical drivers of the contribution of nocturnal to daily sap flow in woody plants 木本植物夜间对日液流贡献的全球模式和生物物理驱动因素
IF 6.2 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-02-14 DOI: 10.1016/j.agrformet.2026.111057
Junjie Dai, Xianhui Tang, Wen Lin, Xin Song
Nocturnal sap flow (Qn) is an integral component of plant physiological processes and ecosystem water cycling. However, global patterns in the relative contribution of nocturnal to total daily sap flux (Qn%) remain poorly understood, limiting our ability to predict plant and ecosystem water use under climate change. To address this gap, we leveraged a global sap flow network (SAPFLUXNET) to assemble a dataset of Qn% comprising 1,366 woody individuals from 79 species across 121 sites worldwide. We used this dataset to examine Qn% variations and associated drivers at the global scale. Across geographic gradients, Qn% exhibited a hump-shaped relationship with latitude, averaging 12.6% across all woody plants. Gymnosperms exhibited significantly higher Qn% values than angiosperms, highlighting the role of plant functional strategies. Qn% also varied among biomes—being highest in desert regions and lowest in tropical and boreal forests. Partitioning nocturnal sap flow using the forecasted refilling method revealed that Qn was globally dominated by stem water refilling, which accounted for 82% of Qn. Under arid conditions, however, the relative contribution of nocturnal transpiration to Qn increased, and the sensitivity of Qn% to short-term water stress was amplified. Further, using a linear mixed effects model, we identified two previously under-appreciated factors—species identity and nighttime length—as crucial drivers of the Qn% variation at the global scale. Together, these findings enhance our understanding of nocturnal sap fluxes and offer key insights for modeling spatiotemporal patterns of plant water relations and ecohydrological dynamics in a changing environment.
夜间液流(Qn)是植物生理过程和生态系统水循环的重要组成部分。然而,夜间对总日液通量(Qn%)的相对贡献的全球模式仍然知之甚少,这限制了我们预测气候变化下植物和生态系统用水的能力。为了解决这一差距,我们利用全球树液流网络(SAPFLUXNET)组装了一个Qn%的数据集,其中包括来自全球121个站点的79个物种的1,366个木本个体。我们使用该数据集在全球范围内检查了Qn%的变化和相关驱动因素。在地理梯度上,Qn%与纬度呈驼峰状关系,在所有木本植物中平均为12.6%。裸子植物的Qn%值显著高于被子植物,说明植物功能策略的作用。Qn%在不同的生物群落中也各不相同——沙漠地区最高,热带和北方森林最低。利用预测再灌水方法对夜间液流进行划分,结果表明,Qn在全球范围内以茎干水再灌水为主,占Qn的82%。而在干旱条件下,夜间蒸腾对Qn的相对贡献增大,Qn%对短期水分胁迫的敏感性增大。此外,使用线性混合效应模型,我们确定了两个以前未被重视的因素——物种特征和夜间长度——作为全球尺度上Qn%变化的关键驱动因素。总之,这些发现增强了我们对夜间汁液通量的理解,并为在变化的环境中模拟植物水分关系和生态水文动力学的时空格局提供了关键见解。
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引用次数: 0
Observed daily photosynthesis responses following moisture pulses in terrestrial ecosystems 陆地生态系统水分脉动后每日光合作用响应的观测
IF 6.2 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-02-14 DOI: 10.1016/j.agrformet.2026.111080
Yu Bai, Fangyue Zhang, Menghang Liu, Zheng Fu
Changes in precipitation patterns are intensifying soil drying dynamics, profoundly affecting ecosystem carbon and water cycling. However, how photosynthesis changes during short-term soil moisture (SM) decline at daily scales following moisture pulses remain poorly understood across terrestrial ecosystems. Using global flux tower measurements, we identified soil dry-down events following moisture pulses and analyzed daily gross primary production (GPP) responses across dryland and non-dryland ecosystems. We found that drylands exhibited a stronger and more pronounced positive response relative to the first day of dry-down due to moisture replenishment, whereas non-drylands showed more variable patterns, with GPP increases during dry-down more common in drylands. Across all sites, daily GPP was primarily driven by precipitation, radiation, and pre-pulse SM. Furthermore, the timing of dry-down events strongly influenced GPP changes, with events occurring during phases of pronounced GPP rise or decline contributing substantially to total carbon uptake. These findings highlight distinct ecosystem-specific GPP response to moisture pulse during soil dry-down and emphasize the need to represent such dynamics in carbon–climate models under changing precipitation patterns.
降水模式的变化加剧了土壤的干燥动态,深刻影响了生态系统的碳循环和水循环。然而,在陆地生态系统中,光合作用在短期土壤水分(SM)随水分脉动而下降的过程中如何变化仍然知之甚少。利用全球通量塔测量,我们确定了水分脉冲后的土壤干化事件,并分析了旱地和非旱地生态系统的每日初级生产总值(GPP)响应。我们发现,由于水分补充,相对于干旱的第一天,旱地表现出更强、更明显的正响应,而非旱地表现出更多的变化模式,干旱期间GPP的增加在旱地更常见。在所有站点中,日GPP主要由降水、辐射和脉冲前SM驱动。此外,干枯事件发生的时间强烈影响GPP的变化,在GPP显著上升或下降的阶段发生的事件对总碳吸收有很大贡献。这些发现突出了土壤干化过程中不同生态系统特异性GPP对水分脉冲的响应,并强调了在降水模式变化下碳-气候模型中表现这种动态的必要性。
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引用次数: 0
Modelling and geospatial mapping of whitefly Bemisia tabaci population dynamics in cassava-growing areas of Sub-Saharan Africa in response to climate change 撒哈拉以南非洲木薯种植区烟粉虱种群动态响应气候变化的建模和地理空间制图
IF 6.2 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-02-13 DOI: 10.1016/j.agrformet.2026.111059
Frank Thomas Ndjomatchoua, Christopher Aidan Gilligan
The sap-feeding cassava whitefly, Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) is a serious pest in tropical agro-ecosystems. Its capacity to spread cassava mosaic virus and cassava brown streak virus, which negatively impact agricultural production, poses a global biosecurity threat. Environmental niche modelling has revealed the potential for additional range expansions of the whitefly complex, particularly into Australia, America, and Europe. To enhance biosecurity readiness for vulnerable African farmers, research is needed on the likely seasonal life-history dynamics of this pest in its invasive range, to inform monitoring programs. Here we develop a mechanistic model incorporating eco-physiological data on the growth life stages, fertility and survival of cassava-African-specific whitefly, and crop host phenology, expressed over different temperature ranges. The model was tested against published field observational data during two cropping seasons in Tanzania. The annual numbers of whitefly generations were then mapped using gridded meteorological data throughout sub-Saharan Africa, highlighting regional vulnerabilities. By leveraging these findings to inform life-history projections across its invasive range, policymakers can make informed, science-based biosecurity decisions and focus preparedness efforts.
木薯粉虱(半翅目:粉虱科)是热带农业生态系统中的一种严重害虫。它传播木薯花叶病毒和木薯褐条病毒的能力对农业生产产生负面影响,对全球生物安全构成威胁。环境生态位模型揭示了粉虱复合体的范围扩展的潜力,特别是在澳大利亚、美国和欧洲。为了加强脆弱的非洲农民的生物安全准备,需要研究这种害虫在其入侵范围内可能的季节性生活史动态,为监测计划提供信息。在此,我们建立了一个机制模型,该模型结合了木薯-非洲特异性粉虱的生长生命阶段、肥力和存活的生态生理数据,以及作物寄主物候在不同温度范围内的表达。根据坦桑尼亚两个种植季节发表的实地观测数据对该模型进行了测试。然后使用整个撒哈拉以南非洲的网格气象数据绘制了白蝇的年世代数,突出了区域脆弱性。通过利用这些发现为其入侵范围内的生活史预测提供信息,决策者可以做出明智的、基于科学的生物安全决策,并重点做好准备工作。
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引用次数: 0
Allergenic pollen forecasting with ensemble machine learning: Toward spatially transferable models in sparse monitoring networks 用集成机器学习预测过敏性花粉:稀疏监测网络中的空间可转移模型
IF 6.2 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-02-13 DOI: 10.1016/j.agrformet.2026.111066
Tetiana Vovk, Maciej Kryza, Małgorzata Werner, Szymon Tomczyk, Małgorzata Malkiewicz, Dorota Myszkowska, Monika Ziemianin, Beata Bosiacka, Agnieszka Grinn-Gofroń, Barbara Majkowska-Wojciechowska
Airborne allergenic birch (Betula) and grass (Poaceae) pollen poses significant public health challenges, as high concentrations can trigger allergic rhinitis and exacerbate asthma for millions of people globally. Accurate forecasts of pollen concentrations enable vulnerable individuals to take preventive measures and support healthcare planning. In this study, we developed a spatially transferable forecasting methodology based on weighted ensemble machine learning models to predict daily birch and grass pollen concentrations up to five days ahead. Historical daily pollen measurements (2006–2022) from a Hirst-type trap in Wrocław, Poland, were combined with Weather Research & Forecasting (WRF) meteorological outputs (e.g., temperature, humidity, wind speed, precipitation), phenological indices (e.g., growing degree days), calendar features (e.g., day of year, week), and lagged pollen predictors. Four decision tree-based base learners – Random Forest, ExtraTrees, XGBoost, and LightGBM – were tuned within nested leave‐year‐out cross-validation and combined via a weighted‐average ensemble. Separate ensembles were trained for lead times from +1 to +5 days for both taxa. Variable importance analysis revealed that lagged pollen predictors dominated short‐term forecasts, while phenological and meteorological variables gained prominence at longer lead times. Independent testing on 2023–2024 data covered Wrocław and three other Polish cities, with two scenarios: (A) using local lagged pollen inputs and (B) replacing local inputs with non-local data from Wrocław (applied only to external sites). Successful spatial transferability was demonstrated in both scenarios. Ensemble models consistently outperformed individual algorithms, achieving test coefficients of determination (R²) of ∼0.77 (birch) and ∼0.72 (grass) at +1 day, declining to ∼0.55 and ∼0.66 at +5 days (scenario A).The findings illustrate that a weighted ensemble can produce reliable short‐ and medium‐term pollen forecasts in data‐scarce regions even if only a single well‐monitored site is available. The approach is readily adaptable for operational implementation and may improve allergy prevention and public‐health interventions in regions with limited pollen monitoring.
空气传播的致敏桦树(桦树)和草(禾草科)花粉对公共卫生构成重大挑战,因为高浓度会引发过敏性鼻炎,并加剧全球数百万人的哮喘。花粉浓度的准确预测使脆弱个体能够采取预防措施并支持医疗保健计划。在这项研究中,我们开发了一种基于加权集成机器学习模型的空间可转移预测方法,以预测5天内桦树和草花粉的每日浓度。波兰Wrocław赫斯特型捕集器的历史每日花粉测量(2006-2022年)与天气研究与预报(WRF)气象输出(如温度、湿度、风速、降水)、物候指数(如生长日数)、日历特征(如一年中的哪一天、一周中的哪一天)和滞后花粉预测相结合。四个基于决策树的基础学习器——Random Forest、ExtraTrees、XGBoost和LightGBM——在嵌套的休假年交叉验证中进行了调整,并通过加权平均集成进行了组合。对两个分类群分别进行了+1至+5天的提前期训练。变量重要性分析表明,滞后的花粉预测因子在短期预测中占主导地位,而物候和气象变量在较长提前期中占突出地位。对2023-2024年数据的独立测试涵盖Wrocław和其他三个波兰城市,有两种情况:(A)使用当地滞后的花粉输入,(B)用来自Wrocław的非本地数据替换本地输入(仅适用于外部站点)。在这两种情况下都证明了成功的空间可转移性。集成模型的表现始终优于单个算法,在+1天时实现的测试决定系数(R²)为~ 0.77(桦树)和~ 0.72(草),在+5天时下降到~ 0.55和~ 0.66(场景A)。研究结果表明,即使只有一个监测良好的站点,加权集合也可以在数据稀缺的地区产生可靠的短期和中期花粉预测。该方法易于操作实施,可以改善花粉监测有限地区的过敏预防和公共卫生干预。
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引用次数: 0
Is Low-Level Jet height a good approximation for the top of the nocturnal boundary-layer? 低空急流的高度是夜间边界层顶部的一个很好的近似值吗?
IF 6.2 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-02-13 DOI: 10.1016/j.agrformet.2026.111065
Anne C.S. Mendonça, Cléo Quaresma Dias-Júnior, Maurício Ilha de Oliveira, Rafael Maroneze, Luis G. Nogueira Martins, Daniel Magnabosco Marra, Flávio A. Farias D’Oliveira, Felipe Denardin Costa, Gilberto Fisch, Denisi H. Hall, Raíssa S. de Oliveira, Bruno T.T. Portela, Otávio C. Acevedo
Low-Level Jets (LLJs) influence the dynamics of the Nocturnal Boundary Layer (NBL) by enhancing mechanical turbulence below the jet nose through vertical wind shear. In this study, we have evaluated whether the jet nose height (<span><span style=""></span><span data-mathml='<math xmlns="http://www.w3.org/1998/Math/MathML"><msub is="true"><mrow is="true"><mi is="true">h</mi></mrow><mrow is="true"><mi mathvariant="normal" is="true">Njet</mi></mrow></msub></math>' role="presentation" style="font-size: 90%; display: inline-block; position: relative;" tabindex="0"><svg aria-hidden="true" focusable="false" height="2.548ex" role="img" style="vertical-align: -0.812ex;" viewbox="0 -747.2 2013.6 1096.9" width="4.677ex" xmlns:xlink="http://www.w3.org/1999/xlink"><g fill="currentColor" stroke="currentColor" stroke-width="0" transform="matrix(1 0 0 -1 0 0)"><g is="true"><g is="true"><g is="true"><use xlink:href="#MJMATHI-68"></use></g></g><g is="true" transform="translate(576,-150)"><g is="true"><use transform="scale(0.707)" xlink:href="#MJMAIN-4E"></use><use transform="scale(0.707)" x="750" xlink:href="#MJMAIN-6A" y="0"></use><use transform="scale(0.707)" x="1057" xlink:href="#MJMAIN-65" y="0"></use><use transform="scale(0.707)" x="1501" xlink:href="#MJMAIN-74" y="0"></use></g></g></g></g></svg><span role="presentation"><math xmlns="http://www.w3.org/1998/Math/MathML"><msub is="true"><mrow is="true"><mi is="true">h</mi></mrow><mrow is="true"><mi is="true" mathvariant="normal">Njet</mi></mrow></msub></math></span></span><script type="math/mml"><math><msub is="true"><mrow is="true"><mi is="true">h</mi></mrow><mrow is="true"><mi mathvariant="normal" is="true">Njet</mi></mrow></msub></math></script></span>) can serve as a reliable proxy for estimating the NBL height (<span><span style=""></span><span data-mathml='<math xmlns="http://www.w3.org/1998/Math/MathML"><msub is="true"><mrow is="true"><mi is="true">h</mi></mrow><mrow is="true"><mi mathvariant="normal" is="true">N</mi></mrow></msub></math>' role="presentation" style="font-size: 90%; display: inline-block; position: relative;" tabindex="0"><svg aria-hidden="true" focusable="false" height="2.317ex" role="img" style="vertical-align: -0.582ex;" viewbox="0 -747.2 1207.2 997.6" width="2.804ex" xmlns:xlink="http://www.w3.org/1999/xlink"><g fill="currentColor" stroke="currentColor" stroke-width="0" transform="matrix(1 0 0 -1 0 0)"><g is="true"><g is="true"><g is="true"><use xlink:href="#MJMATHI-68"></use></g></g><g is="true" transform="translate(576,-150)"><g is="true"><use transform="scale(0.707)" xlink:href="#MJMAIN-4E"></use></g></g></g></g></svg><span role="presentation"><math xmlns="http://www.w3.org/1998/Math/MathML"><msub is="true"><mrow is="true"><mi is="true">h</mi></mrow><mrow is="true"><mi is="true" mathvariant="normal">N</mi></mrow></msub></math></span></span>
低层急流通过垂直风切变增强喷气机头下方的机械湍流,从而影响夜间边界层的动力学。在这项研究中,我们评估了喷气机头高度(hNjethNjet)是否可以作为估计NBL高度(hNhN)的可靠代理,定义为湍流减少到可忽略量级(hNfluxhNflux)的水平。我们在2022-2023年期间使用了安装在亚马逊中部亚马逊高塔天文台(ATTO)树冠上方11个高度的独特的高分辨率音速风速计进行测量。有LLJ的夜晚是根据最大风速(喷鼻)的存在,以及至少两个以上和以下级别的速度下降来选择的。考虑到llj的高度和强度随时间的变化,hNjethNjet和hNfluxhNflux是根据喷鼻高度(81 ~ 100 m、151 ~ 172 m和223 ~ 247 m)分组的平均剖面确定的。我们还考虑了ATTO地区与llj相关的主要风向:N-NE和S-SE。我们的研究结果表明,对于相同的喷嘴高度,N-NE射流通常较弱,并且在更湍流和更不稳定的条件下发生,hNjethNjet与hNfluxhNflux相当。相比之下,S-SE射流更强,与增强的稳定热分层有关,这可能抑制了湍流,导致hNjethNjet值高于hNfluxhNflux。这些差异可能受到冠层上方辐射冷却的影响,因为S-SE喷流发生在较大的净辐射损失下。我们得出的结论是,在强分层条件下,当冠层上方的湍流被显著抑制时,从风速剖面中识别出的LLJ鼻并不能很好地近似NBL高度。
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引用次数: 0
Drought response strategies of blueberry shrubs: Stomatal regulation, xylem embolism, and leaf dropping protect remaining tissues for resprouting 蓝莓灌木的干旱响应策略:气孔调节、木质部栓塞和落叶保护剩余组织的再生
IF 6.2 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-02-13 DOI: 10.1016/j.agrformet.2026.111068
Pratima Pahadi, Uri Hochberg, Jay Wason, Yong-Jiang Zhang
The drought response mechanisms of shrubs such as blueberry plants remain poorly understood. Crucial gaps exist in the mechanistic understanding of shrub drought response strategies, the threshold for irreversible declines in physiological function, and their recovery potential. As drought events intensify in the northeastern U.S., it is increasingly important to understand the drought response of blueberry plants in this region. Here, we investigated the response of key plant physiological processes such as turgor loss, stomatal conductance, photosynthesis, xylem embolism, and phytochemistry in one highbush and one lowbush blueberry species. We found a coordinated decline in stomatal conductance, photosynthesis, transpiration, and plant hydraulic conductance before reaching the turgor loss point (TLP) of -2.0 MPa. At water potentials beyond the TLP, there was a progressive decline of phytochemistry as well as an increase in xylem embolism, leaf browning and leaf shedding, supporting TLP as a critical threshold beyond which drought-induced embolism and subsequent branch mortality occur in blueberries. We also revealed novel mechanisms regarding their high recovery potential: lowbush blueberries resprouted from belowground stems while highbush blueberries generated new branches from the basal stem, even following severe drought stress with 100 % loss of xylem hydraulic conductivity and total branch dieback. Our results thus provide new insights into the drought resistance and recovery mechanisms of these shrub species. The protection of belowground or stem base tissues during drought may have played a key role in enabling post-drought resprouting in blueberries and other shrubs.
灌木如蓝莓植物的干旱响应机制仍然知之甚少。在对灌木干旱响应策略的机制理解、生理功能不可逆下降的阈值及其恢复潜力方面存在关键空白。随着美国东北部干旱事件的加剧,了解该地区蓝莓植物对干旱的反应变得越来越重要。本研究以高丛和低丛蓝莓为研究材料,研究了植物对膨体损失、气孔导度、光合作用、木质部栓塞和植物化学等关键生理过程的响应。气孔导度、光合作用、蒸腾作用和植物水力导度在达到膨胀损失点(-2.0 MPa)之前呈协同下降趋势。在水势超过TLP时,植物化学逐渐下降,木质部栓塞、叶褐变和叶脱落增加,支持TLP是蓝莓发生干旱诱发栓塞和随后树枝死亡的关键阈值。我们还揭示了其高恢复潜力的新机制:低丛蓝莓从地下茎再生,而高丛蓝莓从基茎产生新枝,即使在严重干旱胁迫下木质部水导率100%丧失和分枝总枯死。因此,我们的研究结果为这些灌木物种的抗旱性和恢复机制提供了新的见解。干旱期间对地下或茎基部组织的保护可能在蓝莓和其他灌木的干旱后再生中发挥了关键作用。
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引用次数: 0
Natural Forests Have Longer Drought Recovery Times than Planted Forests across China 中国天然林旱情恢复时间长于人工林
IF 6.2 1区 农林科学 Q1 AGRONOMY Pub Date : 2026-02-12 DOI: 10.1016/j.agrformet.2026.111025
Xingfang Pei, Yi Luo, Songbai Hong, Yuchao Yan, Rixiang Chen, Qingqing Wang, Anlin Li, Dingpu Li, Changqing Peng, Shilong Piao
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引用次数: 0
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Agricultural and Forest Meteorology
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