Abstract

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. 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.

Highlights

  • 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

  • The rate of change of SOC is often determined across regions using monitoring data from SOC in different land use systems, and the evaluation of SOC sequestration is often confounded by an array of management practices and differences in soil types that need to be accounted for with modelling or statistical approaches [12]

  • Results from local agricultural experiments can provide valuable resolution for detecting changing SOC stocks after implementation of specific management practices in comparison to a control. Such experiments do not account for the rate of change of the SOC stocks and typically only evaluate differences at one point in time

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Summary

Methods

Searches Original systematic map search Searches of 17 academic databases were undertaken as part of the published systematic map between the 16th and 19th September 2013. Screening A total of 53 studies have already been identified as part of the recent systematic map [18] These studies were originally assessed according to predefined inclusion criteria (see [20]) but have been subject to additional inclusion criteria to ensure relevance for this review: the studies must have been undertaken over a minimum of 30 years; and a minimum of three outcome measurements must have been made over time. Data extraction Meta-data will be extracted for all studies This information will include the following information: citation; study location (country, site, climate zone, latitude and longitude); soil type (classification or percent clay/silt/ sand); intervention type [broad group (i.e., amendments, crop rotation, fertilizer, tillage), number of treatments, detailed treatment description]; study description (start year, duration, treatments investigated, cropping system, experimental design); sampling strategy (spatial and temporal replication, subsampling, soil sampling depth, SOC measurement method).

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