Lysimeter assessment of the Simplified Two-Source Energy Balance model and eddy covariance system to estimate vineyard evapotranspiration

Abstract:
Abstract Estimation of crop water needs plays a key role in the water resource management in arid and semi-arid regions. Actual evapotranspiration (ETa) becomes the key term in both water and energy balances at this point. In this work we focus on vineyard due to the significance of this crop for La Mancha region, Spain, with the greatest concentration of vineyards in the world. Eddy-covariance (EC) technique has been traditionally used for ground observations of ETa. One of the aims of this work is to assess the feasibility of an EC system under the challenging conditions of a small drip-irrigated vineyard in a semi-arid environment. Two-source energy balance modelling allows for ETa estimation, as well as soil evaporation (E) and canopy transpiration (T) partitioning, using radiometric temperatures as a basis. A Simplified version of this Two-Source Energy Balance approach (STSEB) has been previously tested in a variety of crops and environments. The second goal of this paper is to explore now the performance of the STSEB model in a vineyard structure. Two experiments were carried out during the growing season of 2014 and 2015 in a ˜4\u2009ha row-crop drip-irrigated Tempranillo vineyard, in a semi-arid location in Castilla-La Mancha, Spain. As a novelty in this work, a 9-m2 monolithic large weighting lysimeter was available. An eddy-covariance flux tower was deployed together with net radiation and soil heat flux instrumentation. The residual technique was selected to force the closure after an analysis of the energy imbalance based on the comparison EC-Lysimeter. Good agreement between adjusted EC measurements and lysimeter data (RMSE of ±0.09\u2009mm h−1 and ±0.5\u2009mm d−1 at hourly and daily scales, respectively) supports the validity of eddy-covariance technique to monitor turbulent fluxes and accurate ETa in vineyards. A set of 5 thermal-infrared radiometers were assembled to guaranty an appropriate thermal characterization of the vineyard structure required in the STSEB approach. Surface energy fluxes were modeled every hour with average estimation errors lower than ±30\u2009W m−2 for net radiation and soil heat flux, and around ±50\u2009W m−2 for sensible and latent heat fluxes, with systematic deviations lower than 25\u2009W m−2 in all fluxes. Comparison with lysimeter data showed an average underestimation of 0.04\u2009mm d-1 with a RMSE value of ±0.6\u2009mm d-1 in modeled daily ETa. In terms of accumulated ETa for the full experiments, an underestimation of 12% in 2014 and an overestimation of 7% in 2015 were observed. These results reinforce the feasibility of the STSEB approach to monitor hourly, daily and accumulated ETa in row-crops such as vineyards. Although no ground measurements were available to assess the partitioning, separated E–T values were obtained for the full campaigns, showing a significant ratio E/ETa of 0.35−0.40 for soil evaporation.
Author Listing: Juan Manuel Sánchez;R. López-Urrea;Francisco Valentín;Vicente Caselles;Joan M. Galve
Volume: 274
Pages: 172-183
DOI: 10.1016/J.AGRFORMET.2019.05.006
Language: English
Journal: Agricultural and Forest Meteorology

AGRICULTURAL AND FOREST METEOROLOGY

AGR FOREST METEOROL

影响因子:5.6 是否综述期刊:是 是否OA:否 是否预警:不在预警名单内 发行时间:- ISSN:0168-1923 发刊频率:Monthly 收录数据库:SCIE/Scopus收录 出版国家/地区:NETHERLANDS 出版社:Elsevier

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.

《农业和森林气象学》是一份国际期刊,主要发表关于气象学、农业、林业和自然生态系统之间相互关系的原创文章和评论。重点是与植物和土壤科学、生态学和生物地球化学领域中受天气以及气候变异和变化影响的实际问题有关的基础和应用科学研究。理论模型应对照实验数据进行检验。文章必须吸引国际读者。还出版了专门讨论单个主题的专刊。典型的主题包括冠层微气象学(例如冠层辐射传输、近地面湍流、蒸散、能量平衡、示踪气体通量)、微气象仪器(例如示踪气体传感器、通量测量仪器、辐射测量技术)、大气生物学(例如花粉、孢子、昆虫和杀虫剂的扩散)、生物气象学(例如天气和气候对植物分布、作物产量、用水效率和植物物候的影响)、森林火灾/天气相互作用以及植被对天气和气候系统的反馈。

年发文量 446
国人发稿量 236
国人发文占比 52.91%
自引率 10.7%
平均录取率 约50%
平均审稿周期 平均4.5个月平均12.3周
版面费 US$3750
偏重研究方向 农林科学-林学
期刊官网 http://www.elsevier.com/wps/find/journaldescription.cws_home/503295/description#description
投稿链接 https://www.editorialmanager.com/AGRFORMET

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
98.40% 31.32% 0.00% 0.59%

相关指数

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期刊预警不是论文评价,更不是否定预警期刊发表的每项成果。《国际期刊预警名单(试行)》旨在提醒科研人员审慎选择成果发表平台、提示出版机构强化期刊质量管理。

预警期刊的识别采用定性与定量相结合的方法。通过专家咨询确立分析维度及评价指标,而后基于指标客观数据产生具体名单。

具体而言,就是通过综合评判期刊载文量、作者国际化程度、拒稿率、论文处理费(APC)、期刊超越指数、自引率、撤稿信息等,找出那些具备风险特征、具有潜在质量问题的学术期刊。最后,依据各刊数据差异,将预警级别分为高、中、低三档,风险指数依次减弱。

《国际期刊预警名单(试行)》确定原则是客观、审慎、开放。期刊分区表团队期待与科研界、学术出版机构一起,夯实科学精神,打造气正风清的学术诚信环境!真诚欢迎各界就预警名单的分析维度、使用方案、值得关切的期刊等提出建议!

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时间 预警情况
2024年02月发布的2024版 不在预警名单中
2023年01月发布的2023版 不在预警名单中
2021年12月发布的2021版 不在预警名单中
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JCR分区 WOS分区等级:Q1区

版本 按学科 分区
WOS期刊SCI分区
WOS期刊SCI分区是指SCI官方(Web of Science)为每个学科内的期刊按照IF数值排 序,将期刊按照四等分的方法划分的Q1-Q4等级,Q1代表质量最高,即常说的1区期刊。
(2021-2022年最新版)
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关于2019年中科院分区升级版(试行)

分区表升级版(试行)旨在解决期刊学科体系划分与学科发展以及融合趋势的不相容问题。由于学科交叉在当代科研活动的趋势愈发显著,学科体系构建容易引发争议。为了打破学科体系给期刊评价带来的桎梏,“升级版方案”首先构建了论文层级的主题体系,然后分别计算每篇论文在所属主题的影响力,最后汇总各期刊每篇论文分值,得到“期刊超越指数”,作为分区依据。

分区表升级版(试行)的优势:一是论文层级的主题体系既能体现学科交叉特点,又可以精准揭示期刊载文的多学科性;二是采用“期刊超越指数”替代影响因子指标,解决了影响因子数学性质缺陷对评价结果的干扰。整体而言,分区表升级版(试行)突破了期刊评价中学科体系构建、评价指标选择等瓶颈问题,能够更为全面地揭示学术期刊的影响力,为科研评价“去四唯”提供解决思路。相关研究成果经过国际同行的认可,已经发表在科学计量学领域国际重要期刊。

《2019年中国科学院文献情报中心期刊分区表升级版(试行)》首次将社会科学引文数据库(SSCI)期刊纳入到分区评估中。升级版分区表(试行)设置了包括自然科学和社会科学在内的18个大类学科。基础版和升级版(试行)将过渡共存三年时间,推测在此期间各大高校和科研院所仍可能会以基础版为考核参考标准。 提示:中科院分区官方微信公众号“fenqubiao”仅提供基础版数据查询,暂无升级版数据,请注意区分。

中科院分区 查看说明

版本 大类学科 小类学科 Top期刊 综述期刊
农林科学
1区
FORESTRY
林学
1区
AGRONOMY
农艺学
1区
METEOROLOGY & ATMOSPHERIC SCIENCES
气象与大气科学
1区
2021年12月
基础版
农林科学
1区
FORESTRY
林学
1区
AGRONOMY
农艺学
1区
METEOROLOGY & ATMOSPHERIC SCIENCES
气象与大气科学
2区
2021年12月
升级版
农林科学
1区
FORESTRY
林学
1区
AGRONOMY
农艺学
1区
METEOROLOGY & ATMOSPHERIC SCIENCES
气象与大气科学
1区
2020年12月
旧的升级版
农林科学
1区
FORESTRY
林学
1区
AGRONOMY
农艺学
1区
METEOROLOGY & ATMOSPHERIC SCIENCES
气象与大气科学
1区
2022年12月
最新升级版
农林科学
1区
FORESTRY
林学
1区
AGRONOMY
农艺学
1区
METEOROLOGY & ATMOSPHERIC SCIENCES
气象与大气科学
1区