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Agricultural And Forest Meteorology

Agricultural And Forest MeteorologySCIE

国际简称:AGR FOREST METEOROL  参考译名:农林气象

  • 中科院分区

    1区

  • CiteScore分区

    Q1

  • JCR分区

    Q1

基本信息:
ISSN:0168-1923
E-ISSN:1873-2240
是否OA:未开放
是否预警:否
TOP期刊:是
出版信息:
出版地区:NETHERLANDS
出版商:Elsevier
出版语言:Multi-Language
出版周期:Monthly
出版年份:1964
研究方向:农林科学-林学
评价信息:
影响因子:5.6
H-index:144
CiteScore指数:10.3
SJR指数:1.677
SNIP指数:1.541
发文数据:
Gold OA文章占比:31.32%
研究类文章占比:98.40%
年发文量:437
自引率:0.0967...
开源占比:0.1455
出版撤稿占比:0
出版国人文章占比:0.23
OA被引用占比:0.0783...
英文简介 期刊介绍 CiteScore数据 中科院SCI分区 JCR分区 发文数据 常见问题

英文简介Agricultural And Forest Meteorology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.

期刊简介Agricultural And Forest Meteorology期刊介绍

《Agricultural And Forest Meteorology》自1964出版以来,是一本农林科学优秀杂志。致力于发表原创科学研究结果,并为农林科学各个领域的原创研究提供一个展示平台,以促进农林科学领域的的进步。该刊鼓励先进的、清晰的阐述,从广泛的视角提供当前感兴趣的研究主题的新见解,或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道农林科学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单,目前已被权威数据库SCIE收录,得到了广泛的认可。

该期刊投稿重要关注点:

Cite Score数据(2024年最新版)Agricultural And Forest Meteorology Cite Score数据

  • CiteScore:10.3
  • SJR:1.677
  • SNIP:1.541
学科类别 分区 排名 百分位
大类:Agricultural and Biological Sciences 小类:Agronomy and Crop Science Q1 23 / 406

94%

大类:Agricultural and Biological Sciences 小类:Atmospheric Science Q1 9 / 148

94%

大类:Agricultural and Biological Sciences 小类:Forestry Q1 11 / 174

93%

大类:Agricultural and Biological Sciences 小类:Global and Planetary Change Q1 17 / 120

86%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础,针对的是前四年发表的论文的引文。CiteScore的意义在于,它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法,而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Agricultural And Forest Meteorology 中科院分区

中科院 2023年12月升级版 综述期刊:否 Top期刊:是
大类学科 分区 小类学科 分区
农林科学 1区 AGRONOMY 农艺学 FORESTRY 林学 METEOROLOGY & ATMOSPHERIC SCIENCES 气象与大气科学 1区 1区 1区

中科院分区表 是以客观数据为基础,运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据,得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次,类似于“优、良、及格”等。最开始,这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Agricultural And Forest Meteorology JCR分区

2023-2024 年最新版
按JIF指标学科分区 收录子集 分区 排名 百分位
学科:AGRONOMY SCIE Q1 8 / 125

94%

学科:FORESTRY SCIE Q1 3 / 89

97.2%

学科:METEOROLOGY & ATMOSPHERIC SCIENCES SCIE Q1 14 / 110

87.7%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:AGRONOMY SCIE Q1 5 / 125

96.4%

学科:FORESTRY SCIE Q1 2 / 89

98.31%

学科:METEOROLOGY & ATMOSPHERIC SCIENCES SCIE Q1 4 / 110

96.82%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异,此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此,JCR将期刊按照学科门类和影响因子分为不同的分区,这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计
  • 国家/地区数量
  • CHINA MAINLAND447
  • USA380
  • Australia97
  • Canada94
  • GERMANY (FED REP GER)93
  • France87
  • Spain82
  • England55
  • Japan48
  • Italy47

本刊中国学者近年发表论文

  • 1、Precipitation consistently promotes, but temperature inversely drives, biomass production in temperate vs. alpine grasslands

    Author: Wu, Wenjuan; Sun, Ruojun; Liu, Leren; Liu, Xiaodi; Yu, Hongying; Ma, Quanhui; Qi, Miao; Li, Lang; Li, Yibo; Zhou, Guangsheng; Xu, Zhenzhu

    Journal: AGRICULTURAL AND FOREST METEOROLOGY. 2023; Vol. 329, Issue , pp. -. DOI: 10.1016/j.agrformet.2022.109277

  • 2、Accumulated soil moisture deficit better indicates the effect of soil water stress on light use efficiency of grasslands during drought years

    Author: Zhang, Zhenyu; Zhou, Yanlian; Ju, Weimin; Chen, Jingming; Xiao, Jingfeng

    Journal: AGRICULTURAL AND FOREST METEOROLOGY. 2023; Vol. 329, Issue , pp. -. DOI: 10.1016/j.agrformet.2022.109276

  • 3、Monitoring of tree tilt motion using lorawan-based wireless tree sensing system (IoTT) during super typhoon Mangkhut

    Author: Chau, Wai Yi; Wang, Yu-Hsing; Chiu, Siu Wai; Tan, Pin Siang; Leung, Mei Ling; Lui, Hoi Lun; Wu, Jimmy; Lau, Yun Man; Liu, Kuan-Fu; Hau, Billy Chi Hang

    Journal: AGRICULTURAL AND FOREST METEOROLOGY. 2023; Vol. 329, Issue , pp. -. DOI: 10.1016/j.agrformet.2022.109282

  • 4、Satellite-observed vegetation responses to aerosols variability

    Author: Zhang, Zhaoyang; Xiong, Jian; Fan, Meng; Tao, Minghui; Wang, Quan; Bai, Yang

    Journal: AGRICULTURAL AND FOREST METEOROLOGY. 2023; Vol. 329, Issue , pp. -. DOI: 10.1016/j.agrformet.2022.109278

  • 5、Tree-level stomatal regulation is more closely related to xylem hydraulic traits than to leaf photosynthetic traits across diverse tree species

    Author: Hu, Yanting; Sun, Zhihui; Zeng, Yelin; Ouyang, Shuai; Chen, Liang; Lei, Pifeng; Deng, Xiangwen; Zhao, Zhonghui; Fang, Xi; Xiang, Wenhua

    Journal: AGRICULTURAL AND FOREST METEOROLOGY. 2023; Vol. 329, Issue , pp. -. DOI: 10.1016/j.agrformet.2022.109291

  • 6、The effect of relative humidity on eddy covariance latent heat flux measurements and its implication for partitioning into transpiration and evaporation

    Author: Zhang, Weijie; Jung, Martin; Migliavacca, Mirco; Poyatos, Rafael; Miralles, Diego G.; El-Madany, Tarek S.; Galvagno, Marta; Carrara, Arnaud; Arriga, Nicola; Ibrom, Andreas; Mammarella, Ivan; Papale, Dario; Cleverly, Jamie R.; Liddell, Michael; Wohlfahrt, Georg; Markwitz, Christian; Mauder, Matthias; -Limoges, Eugenie Paul; Schmidt, Marius; Wolf, Sebastian; Bruemmer, Christian; Arain, M. Altaf; Fares, Silvano; Kato, Tomomichi; Ardo, Jonas; Oechel, Walter; Hanson, Chad; Korkiakoski, Mika; Biraud, Sebastien; Steinbrecher, Rainer; Billesbach, Dave; Montagnani, Leonardo; Woodgate, William; Shao, Changliang; Carvalhais, Nuno; Reichstein, Markus; Nelson, Jacob A.

    Journal: AGRICULTURAL AND FOREST METEOROLOGY. 2023; Vol. 330, Issue , pp. -. DOI: 10.1016/j.agrformet.2022.109305

  • 7、Modeling root water uptake patterns of oil crops grown on semiarid loess

    Author: He, Nana; Gao, Xiaodong; Zhao, Lianhao; Hu, Pan; Zhao, Xining

    Journal: AGRICULTURAL AND FOREST METEOROLOGY. 2023; Vol. 330, Issue , pp. -. DOI: 10.1016/j.agrformet.2022.109306

  • 8、Characterizing spatial, diurnal, and seasonal patterns of agricultural irrigation expansion-induced cooling in Northwest China from 2000 to 2020

    Author: Zhang, Chao; Ge, Quansheng; Dong, Jinwei; Zhang, Xuezhen; Li, Yan; Han, Songjun

    Journal: AGRICULTURAL AND FOREST METEOROLOGY. 2023; Vol. 330, Issue , pp. -. DOI: 10.1016/j.agrformet.2022.109304

投稿常见问题

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