通过野外观测网络(FiON)实现农业土壤碳监测、报告和验证

IF 1.8 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY
O. Nevalainen, O. Niemitalo, I. Fer, Antti Juntunen, T. Mattila, Olli Koskela, Joni Kukkamäki, Layla Höckerstedt, Laura Mäkelä, Pieta Jarva, Laura Heimsch, Henriikka Vekuri, L. Kulmala, Åsa Stam, Otto Kuusela, Stéphanie Gérin, T. Viskari, J. Vira, J. Hyväluoma, J. Tuovinen, A. Lohila, T. Laurila, J. Heinonsalo, T. Aalto, I. Kunttu, J. Liski
{"title":"通过野外观测网络(FiON)实现农业土壤碳监测、报告和验证","authors":"O. Nevalainen, O. Niemitalo, I. Fer, Antti Juntunen, T. Mattila, Olli Koskela, Joni Kukkamäki, Layla Höckerstedt, Laura Mäkelä, Pieta Jarva, Laura Heimsch, Henriikka Vekuri, L. Kulmala, Åsa Stam, Otto Kuusela, Stéphanie Gérin, T. Viskari, J. Vira, J. Hyväluoma, J. Tuovinen, A. Lohila, T. Laurila, J. Heinonsalo, T. Aalto, I. Kunttu, J. Liski","doi":"10.5194/gi-11-93-2022","DOIUrl":null,"url":null,"abstract":"Abstract. Better monitoring, reporting, and verification (MRV) of the amount,\nadditionality, and persistence of the sequestered soil carbon is needed to\nunderstand the best carbon farming practices for different soils and climate\nconditions, as well as their actual climate benefits or cost efficiency in\nmitigating greenhouse gas emissions. This paper presents our Field\nObservatory Network (FiON) of researchers, farmers, companies, and other\nstakeholders developing carbon farming practices. FiON has established a\nunified methodology towards monitoring and forecasting agricultural carbon\nsequestration by combining offline and near-real-time field measurements,\nweather data, satellite imagery, modeling, and computing networks. FiON's\nfirst phase consists of two intensive research sites and 20 voluntary pilot\nfarms testing carbon farming practices in Finland. To disseminate the data,\nFiON built a web-based dashboard called the Field Observatory (v1.0,\nhttps://www.fieldobservatory.org/, last access: 3 February 2022). The Field Observatory is designed as an online service\nfor near-real-time model–data synthesis, forecasting, and decision support\nfor the farmers who are able to monitor the effects of carbon farming\npractices. The most advanced features of the Field Observatory are visible\non the Qvidja site, which acts as a prototype for the most recent\nimplementations. Overall, FiON aims to create new knowledge on agricultural\nsoil carbon sequestration and effects of carbon farming practices as well as\nprovide an MRV tool for decision support.\n","PeriodicalId":48742,"journal":{"name":"Geoscientific Instrumentation Methods and Data Systems","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2022-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Towards agricultural soil carbon monitoring, reporting, and verification through the Field Observatory Network (FiON)\",\"authors\":\"O. Nevalainen, O. Niemitalo, I. Fer, Antti Juntunen, T. Mattila, Olli Koskela, Joni Kukkamäki, Layla Höckerstedt, Laura Mäkelä, Pieta Jarva, Laura Heimsch, Henriikka Vekuri, L. Kulmala, Åsa Stam, Otto Kuusela, Stéphanie Gérin, T. Viskari, J. Vira, J. Hyväluoma, J. Tuovinen, A. Lohila, T. Laurila, J. Heinonsalo, T. Aalto, I. Kunttu, J. Liski\",\"doi\":\"10.5194/gi-11-93-2022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. Better monitoring, reporting, and verification (MRV) of the amount,\\nadditionality, and persistence of the sequestered soil carbon is needed to\\nunderstand the best carbon farming practices for different soils and climate\\nconditions, as well as their actual climate benefits or cost efficiency in\\nmitigating greenhouse gas emissions. This paper presents our Field\\nObservatory Network (FiON) of researchers, farmers, companies, and other\\nstakeholders developing carbon farming practices. FiON has established a\\nunified methodology towards monitoring and forecasting agricultural carbon\\nsequestration by combining offline and near-real-time field measurements,\\nweather data, satellite imagery, modeling, and computing networks. FiON's\\nfirst phase consists of two intensive research sites and 20 voluntary pilot\\nfarms testing carbon farming practices in Finland. To disseminate the data,\\nFiON built a web-based dashboard called the Field Observatory (v1.0,\\nhttps://www.fieldobservatory.org/, last access: 3 February 2022). The Field Observatory is designed as an online service\\nfor near-real-time model–data synthesis, forecasting, and decision support\\nfor the farmers who are able to monitor the effects of carbon farming\\npractices. The most advanced features of the Field Observatory are visible\\non the Qvidja site, which acts as a prototype for the most recent\\nimplementations. Overall, FiON aims to create new knowledge on agricultural\\nsoil carbon sequestration and effects of carbon farming practices as well as\\nprovide an MRV tool for decision support.\\n\",\"PeriodicalId\":48742,\"journal\":{\"name\":\"Geoscientific Instrumentation Methods and Data Systems\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2022-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geoscientific Instrumentation Methods and Data Systems\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.5194/gi-11-93-2022\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscientific Instrumentation Methods and Data Systems","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/gi-11-93-2022","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 7

摘要

摘要为了了解不同土壤和气候条件下的最佳碳农业实践,以及它们在减少温室气体排放方面的实际气候效益或成本效益,需要更好地监测、报告和验证土壤固碳的数量、附加性和持久性。本文介绍了由研究人员、农民、公司和其他发展碳农业实践的利益相关者组成的实地观测网络(FiON)。FiON通过结合离线和近实时现场测量、天气数据、卫星图像、建模和计算网络,建立了监测和预测农业碳封存的统一方法。FiON的第一阶段包括两个密集的研究地点和20个自愿试点农场,在芬兰测试碳农业实践。为了传播数据,FiON建立了一个基于网络的仪表板,称为野外观测站(v1.0,https://www.fieldobservatory.org/,最后访问时间:2022年2月3日)。野外观测站被设计为一项在线服务,为能够监测碳农业实践影响的农民提供近实时模型数据合成、预测和决策支持。野外观测站最先进的特征可以在Qvidja站点上看到,它是最新实现的原型。总体而言,FiON旨在创造关于农业土壤碳固存和碳农业实践影响的新知识,并为决策支持提供MRV工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards agricultural soil carbon monitoring, reporting, and verification through the Field Observatory Network (FiON)
Abstract. Better monitoring, reporting, and verification (MRV) of the amount, additionality, and persistence of the sequestered soil carbon is needed to understand the best carbon farming practices for different soils and climate conditions, as well as their actual climate benefits or cost efficiency in mitigating greenhouse gas emissions. This paper presents our Field Observatory Network (FiON) of researchers, farmers, companies, and other stakeholders developing carbon farming practices. FiON has established a unified methodology towards monitoring and forecasting agricultural carbon sequestration by combining offline and near-real-time field measurements, weather data, satellite imagery, modeling, and computing networks. FiON's first phase consists of two intensive research sites and 20 voluntary pilot farms testing carbon farming practices in Finland. To disseminate the data, FiON built a web-based dashboard called the Field Observatory (v1.0, https://www.fieldobservatory.org/, last access: 3 February 2022). The Field Observatory is designed as an online service for near-real-time model–data synthesis, forecasting, and decision support for the farmers who are able to monitor the effects of carbon farming practices. The most advanced features of the Field Observatory are visible on the Qvidja site, which acts as a prototype for the most recent implementations. Overall, FiON aims to create new knowledge on agricultural soil carbon sequestration and effects of carbon farming practices as well as provide an MRV tool for decision support.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Geoscientific Instrumentation Methods and Data Systems
Geoscientific Instrumentation Methods and Data Systems GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
3.70
自引率
0.00%
发文量
23
审稿时长
37 weeks
期刊介绍: Geoscientific Instrumentation, Methods and Data Systems (GI) is an open-access interdisciplinary electronic journal for swift publication of original articles and short communications in the area of geoscientific instruments. It covers three main areas: (i) atmospheric and geospace sciences, (ii) earth science, and (iii) ocean science. A unique feature of the journal is the emphasis on synergy between science and technology that facilitates advances in GI. These advances include but are not limited to the following: concepts, design, and description of instrumentation and data systems; retrieval techniques of scientific products from measurements; calibration and data quality assessment; uncertainty in measurements; newly developed and planned research platforms and community instrumentation capabilities; major national and international field campaigns and observational research programs; new observational strategies to address societal needs in areas such as monitoring climate change and preventing natural disasters; networking of instruments for enhancing high temporal and spatial resolution of observations. GI has an innovative two-stage publication process involving the scientific discussion forum Geoscientific Instrumentation, Methods and Data Systems Discussions (GID), which has been designed to do the following: foster scientific discussion; maximize the effectiveness and transparency of scientific quality assurance; enable rapid publication; make scientific publications freely accessible.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信