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Which agricultural management interventions are most influential on soil organic carbon (using time series data)?

Haddaway, Neal R. and Hedlund, Katarina and Jackson, Louise E and Kätterer, Thomas and Lugato, Emanuele and Thomsen, Ingrid K. and Bracht Jørgensen, Helene and Isberg, Per-Erik (2016). Which agricultural management interventions are most influential on soil organic carbon (using time series data)? Environmental Evidence. 5:2, 1-7
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Abstract

Background
Loss of soil organic carbon (SOC) from agricultural land is identified as one of the major threats to soils, as it influences both fertility and the production of ecosystem services from agriculture. Losses of SOC across regions are often determined by monitoring in different land use systems. Results from agricultural field experiments can reveal increasing SOC stocks after implementation of specific management practices compared to a control, though in time series experiments the relative rate of change is often negative and implying an overall loss. Long-term agricultural field experiments are indispensable for quantifying absolute changes in SOC stocks under different management regimes. Since SOC responses are seldom linear over time, time series data from these experiments are particularly valuable.

Methods
This systematic review is based on studies reporting time series data collated in a recently completed systematic map on the topic restricted to the warm temperate climate zone and the snow climate zone. These 53 studies were identified and selected systematically according to CEE guidelines. An update of the original search for studies will be repeated using Web of Science and Google Scholar to include newly published academic and grey literature in the time since the original search was performed in September 2013. Studies will be subject to critical appraisal of the internal and external validity, followed by full data extraction (meta-data describing study settings and quantitative study results). Where possible, studies will be included in a quantitative synthesis using time series meta-analytical approaches. The implications of the meta-analytical findings will be discussed in terms of policy, practice and research along with a discussion of the nature of the evidence base.

Authors/Creators:Haddaway, Neal R. and Hedlund, Katarina and Jackson, Louise E and Kätterer, Thomas and Lugato, Emanuele and Thomsen, Ingrid K. and Bracht Jørgensen, Helene and Isberg, Per-Erik
Title:Which agricultural management interventions are most influential on soil organic carbon (using time series data)?
Series/Journal:Environmental Evidence (2047-2382)
Year of publishing :2016
Depositing date:23 August 2016
Volume:5
Number:2
Page range:1-7
Number of Pages:7
Publisher:BioMed Central
ISSN:2047-2382
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Agris subject categories.:F Plant production > F04 Fertilizing
F Plant production > F07 Soil cultivation
F Plant production > F08 Cropping patterns and systems
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Soil Science
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science
Agrovoc terms:farmland, tillage, fertilization, crop rotation, carbon sequestration, field experimentation, time series analysis
Keywords:Agriculture, Tillage, Fertilization, Crop rotation, Amendment, Farming, Conservation, Carbon sequestration, Long-term field experiments, Time series data
URN:NBN:urn:nbn:se:slu:epsilon-e-3623
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3623
Additional ID:
Type of IDID
DOI10.1186/s13750-016-0053-z
ID Code:13588
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Ecology
(S) > Dept. of Ecology
Deposited By: SLUpub Connector
Deposited On:23 Aug 2016 10:39
Metadata Last Modified:23 Aug 2016 10:39

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