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Towards agricultural soil carbon monitoring, reporting and verification through Field Observatory Network (FiON).

Authors :
Nevalainen, Olli
Niemitalo, Olli
Fer, Istem
Juntunen, Antti
Mattila, Tuomas
Koskela, Olli
Kukkamäki, Joni
Höckerstedt, Layla
Mäkelä, Laura
Jarva, Pieta
Heimsch, Laura
Vekuri, Henriikka
Kulmala, Liisa
Stam, Åsa
Kuusela, Otto
Gerin, Stephanie
Viskari, Toni
Vira, Julius
Hyväluoma, Jari
Tuovinen, Juha-Pekka
Source :
Geoscientific Instrumentation, Methods & Data Systems Discussions (GID). 8/2/2021, p1-26. 26p.
Publication Year :
2021

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 Field Observatory (v1.0, fieldobservatory.org). 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, and provide an MRV tool for decision-support. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21930872
Database :
Academic Search Index
Journal :
Geoscientific Instrumentation, Methods & Data Systems Discussions (GID)
Publication Type :
Academic Journal
Accession number :
151806081
Full Text :
https://doi.org/10.5194/gi-2021-21