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Journal of Agricultural Meteorology最新文献

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Review: Exchanges of O3, NO, and NO2 between forest ecosystems and the atmosphere 森林生态系统与大气之间O3、NO和NO2的交换
IF 1.3 4区 农林科学
Journal of Agricultural Meteorology Pub Date : 2023-01-10 DOI: 10.2480/agrmet.d-22-00023
R. Wada, S. Yonemura, A. Tani, M. Kajino
{"title":"Review: Exchanges of O3, NO, and NO2 between forest ecosystems and the atmosphere","authors":"R. Wada, S. Yonemura, A. Tani, M. Kajino","doi":"10.2480/agrmet.d-22-00023","DOIUrl":"https://doi.org/10.2480/agrmet.d-22-00023","url":null,"abstract":"","PeriodicalId":56074,"journal":{"name":"Journal of Agricultural Meteorology","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42320101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Observations on dew formation in the rice canopy and its simulation using a multilayer microclimate model 水稻冠层结露的观测及其多层小气候模式模拟
IF 1.3 4区 农林科学
Journal of Agricultural Meteorology Pub Date : 2023-01-01 DOI: 10.2480/agrmet.d-22-00016
A. Maruyama, T. Kuwagata, Tsutomu Watanabe
{"title":"Observations on dew formation in the rice canopy and its simulation using a multilayer microclimate model","authors":"A. Maruyama, T. Kuwagata, Tsutomu Watanabe","doi":"10.2480/agrmet.d-22-00016","DOIUrl":"https://doi.org/10.2480/agrmet.d-22-00016","url":null,"abstract":"","PeriodicalId":56074,"journal":{"name":"Journal of Agricultural Meteorology","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69170628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Down-regulation of photosynthesis in apple leaves under elevated CO2 concentration: a long-term field study with different fruit load 二氧化碳浓度升高对苹果叶片光合作用下调的影响:不同果实负荷的长期田间研究
IF 1.3 4区 农林科学
Journal of Agricultural Meteorology Pub Date : 2023-01-01 DOI: 10.2480/agrmet.d-22-00021
Md Rakibul HASSAN, D. Ito
{"title":"Down-regulation of photosynthesis in apple leaves under elevated CO2 concentration: a long-term field study with different fruit load","authors":"Md Rakibul HASSAN, D. Ito","doi":"10.2480/agrmet.d-22-00021","DOIUrl":"https://doi.org/10.2480/agrmet.d-22-00021","url":null,"abstract":"","PeriodicalId":56074,"journal":{"name":"Journal of Agricultural Meteorology","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69170650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
GCPE: The global dataset of crop phenological events for agricultural and earth system modelling 用于农业和地球系统建模的全球作物物候事件数据集
IF 1.3 4区 农林科学
Journal of Agricultural Meteorology Pub Date : 2023-01-01 DOI: 10.2480/agrmet.d-23-00004
Akira Mori, Y. Doi, T. Iizumi
{"title":"GCPE: The global dataset of crop phenological events for agricultural and earth system modelling","authors":"Akira Mori, Y. Doi, T. Iizumi","doi":"10.2480/agrmet.d-23-00004","DOIUrl":"https://doi.org/10.2480/agrmet.d-23-00004","url":null,"abstract":"","PeriodicalId":56074,"journal":{"name":"Journal of Agricultural Meteorology","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69170711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improved methods for estimating effective accumulated temperature for pest forecasting 害虫预测中有效积温估计的改进方法
IF 1.3 4区 农林科学
Journal of Agricultural Meteorology Pub Date : 2023-01-01 DOI: 10.2480/agrmet.d-22-00026
Nobuyuki Kayaba, R. Sameshima
{"title":"Improved methods for estimating effective accumulated temperature for pest forecasting","authors":"Nobuyuki Kayaba, R. Sameshima","doi":"10.2480/agrmet.d-22-00026","DOIUrl":"https://doi.org/10.2480/agrmet.d-22-00026","url":null,"abstract":"","PeriodicalId":56074,"journal":{"name":"Journal of Agricultural Meteorology","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69170682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Special Collection: Gas fluxes and micrometeorology of agricultural ecosystems in Japan 特别收藏:日本农业生态系统的气体通量和微气象学
IF 1.3 4区 农林科学
Journal of Agricultural Meteorology Pub Date : 2023-01-01 DOI: 10.2480/agrmet.d-23-00101
K. Ono
{"title":"Special Collection: Gas fluxes and micrometeorology of agricultural ecosystems in Japan","authors":"K. Ono","doi":"10.2480/agrmet.d-23-00101","DOIUrl":"https://doi.org/10.2480/agrmet.d-23-00101","url":null,"abstract":"","PeriodicalId":56074,"journal":{"name":"Journal of Agricultural Meteorology","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69170752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Decline in tuber number and weight of potato (Solanum tuberosum L) associated with drought in 2020 and 2021 in a humid region of eastern Hokkaido 北海道东部湿润地区马铃薯块茎数量和重量下降与2020年和2021年干旱有关
IF 1.3 4区 农林科学
Journal of Agricultural Meteorology Pub Date : 2023-01-01 DOI: 10.2480/agrmet.d-22-00031
S. Shimoda, Maki Kanaya, Y. Kominami, H. Tsuji
{"title":"Decline in tuber number and weight of potato (Solanum tuberosum L) associated with drought in 2020 and 2021 in a humid region of eastern Hokkaido","authors":"S. Shimoda, Maki Kanaya, Y. Kominami, H. Tsuji","doi":"10.2480/agrmet.d-22-00031","DOIUrl":"https://doi.org/10.2480/agrmet.d-22-00031","url":null,"abstract":"","PeriodicalId":56074,"journal":{"name":"Journal of Agricultural Meteorology","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69170691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Net photosynthetic rate of cos lettuce under pulsed light generated with full-wave rectification of 50 Hz sine-wave alternating-current power 50 Hz正弦波交流电源全波整流脉冲光作用下cos莴苣的净光合速率
IF 1.3 4区 农林科学
Journal of Agricultural Meteorology Pub Date : 2023-01-01 DOI: 10.2480/agrmet.d-23-00005
K. Fujiwara, T. Jishi, Kyohei Nishino, A. Yano
{"title":"Net photosynthetic rate of cos lettuce under pulsed light generated with full-wave rectification of 50 Hz sine-wave alternating-current power","authors":"K. Fujiwara, T. Jishi, Kyohei Nishino, A. Yano","doi":"10.2480/agrmet.d-23-00005","DOIUrl":"https://doi.org/10.2480/agrmet.d-23-00005","url":null,"abstract":"","PeriodicalId":56074,"journal":{"name":"Journal of Agricultural Meteorology","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69170721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Growth of cucumber seedlings under emulated sunlight with artificially reproduced fluctuations in photosynthetic photon flux density 模拟日光下人工合成光合光子通量密度波动的黄瓜幼苗生长
IF 1.3 4区 农林科学
Journal of Agricultural Meteorology Pub Date : 2023-01-01 DOI: 10.2480/agrmet.d-23-00019
R. Matsuda, Soichiro Shiba, Y. Chen, Shunsuke Kubo, Liyao Yu, Ji-Yoon Lee, K. Fujiwara
{"title":"Growth of cucumber seedlings under emulated sunlight with artificially reproduced fluctuations in photosynthetic photon flux density","authors":"R. Matsuda, Soichiro Shiba, Y. Chen, Shunsuke Kubo, Liyao Yu, Ji-Yoon Lee, K. Fujiwara","doi":"10.2480/agrmet.d-23-00019","DOIUrl":"https://doi.org/10.2480/agrmet.d-23-00019","url":null,"abstract":"","PeriodicalId":56074,"journal":{"name":"Journal of Agricultural Meteorology","volume":"1 1","pages":""},"PeriodicalIF":1.3,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69170731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Gap-filling greenhouse gas fluxes for the closed chamber method at paddy fields using machine learning techniques 利用机器学习技术研究稻田封闭室方法的温室气体通量
4区 农林科学
Journal of Agricultural Meteorology Pub Date : 2023-01-01 DOI: 10.2480/agrmet.d-22-00024
Sunchai PHUNGERN, Yuji GOTO, Liya DING, Iain MCTAGGART, Kosuke NOBORIO
{"title":"Gap-filling greenhouse gas fluxes for the closed chamber method at paddy fields using machine learning techniques","authors":"Sunchai PHUNGERN, Yuji GOTO, Liya DING, Iain MCTAGGART, Kosuke NOBORIO","doi":"10.2480/agrmet.d-22-00024","DOIUrl":"https://doi.org/10.2480/agrmet.d-22-00024","url":null,"abstract":"Measurements of greenhouse gas (GHG) emissions from paddy fields can often include flux measurement errors due to either instrument errors or unfavorable weather. Therefore, data post-processing, including the gap-filling process, is required to improve data quality and quantify the GHG flux budget. This study applied machine learning (ML) techniques with polynomial and multivariate polynomial regression models for gap-filling methane (CH4) and carbon dioxide (CO2) fluxes from closed chamber (CC) method measurements and compared results with mean diurnal variation (MDV) and look-up table (LUT) techniques. The most influential factors affecting methane emissions in the paddy field were used for input variables in the models: air temperature, soil temperature, soil redox potential, soil water content, solar radiation, and days after transplanting. The models' performances were compared using mean absolute error (MAE) and root mean square error (RMSE). The results showed that MAE and RMSE for gap-filling CH4 fluxes were 1.299-2.984 and 2.499-4.981 mg CH4 m-2 h-1, respectively. Also, the multivariate polynomial regression models performed better for gap-filling CH4 fluxes (RMSE = 2.499 mg CH4 m-2 h-1) than the polynomial regression models, MDV (RMSE = 3.210 mg CH4 m-2 h-1), and LUT (RMSE = 3.339 mg CH4 m-2 h-1) techniques. The MAE and RMSE for gap-filling CO2 fluxes were 0.282-0.949 and 0.435-1.078 g CO2 m-2 h-1, respectively. The ML techniques with polynomial regression using solar radiation (RMSE = 0.435 g CO2 m-2 h-1) and multivariate models (RMSE = 0.445 g CO2 m-2 h-1) perform better on gap-filling CO2 fluxes than MDV (RMSE = 0.544 g CO2 m-2 h-1), and LUT (RMSE = 0.553 g CO2 m-2 h-1) techniques. The gap-filling using the multivariate polynomial regression models used in this study improved the reliability of the diurnal variation in GHG fluxes. Therefore, ML techniques could be a proper alternative for gap-filling GHG fluxes.","PeriodicalId":56074,"journal":{"name":"Journal of Agricultural Meteorology","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136053524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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