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

Authors :
O. Nevalainen
O. Niemitalo
I. Fer
A. Juntunen
T. Mattila
O. Koskela
J. Kukkamäki
L. Höckerstedt
L. Mäkelä
P. Jarva
L. Heimsch
H. Vekuri
L. Kulmala
Å. Stam
O. Kuusela
S. Gerin
T. Viskari
J. Vira
J. Hyväluoma
J.-P. Tuovinen
A. Lohila
T. Laurila
J. Heinonsalo
T. Aalto
I. Kunttu
J. Liski
Source :
Geoscientific Instrumentation, Methods and Data Systems, Vol 11, Pp 93-109 (2022)
Publication Year :
2022
Publisher :
Copernicus Publications, 2022.

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.

Details

Language :
English
ISSN :
21930856 and 21930864
Volume :
11
Database :
Directory of Open Access Journals
Journal :
Geoscientific Instrumentation, Methods and Data Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.00faffe4d8bc4b53aacb904168ead59e
Document Type :
article
Full Text :
https://doi.org/10.5194/gi-11-93-2022