Spatio-temporal land use dynamics and soil organic carbon in Swiss agroecosystems

Stumpf, Felix; Keller, Armin; Schmidt, Karsten; Mayr, Andreas; Gubler, Andreas; Schaepman, Michael E.

doi:10.1016/j.agee.2018.02.012

Cited by 58 publications

(32 citation statements)

References 76 publications

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“…Using eddy covariance measurements, Emmel et al (2018) reported losses in SOC of 16-19% during 13 years for a crop field adjacent to site Oens; these correspond to an annual decrease in SOC of -1.1 to -1.3 Mg C ha −1 yr −1 . Also Stumpf et al (2018) documented a decrease in SOC for cropland (without ley in the rotation) based on a combination of spectral imagery and a random forest model. Nevertheless, the widespread SOC losses we found are unexpected, as several practices assumed to enhance SOC stocks, such as organic fertilization (Poulton et al, 2018), incorporation of crop residues (Buyanovsky and Wagner, 1998;Kong et al, 2005), and complex crop rotations with grass-clover leys (Johnston et al, 2009) were among the 80 different treatments.…”

Section: Discussionmentioning

confidence: 99%

Loss of soil organic carbon in Swiss long-term agricultural experiments over a wide range of management practices

Keel

Anken

Büchi

et al. 2019

Agriculture, Ecosystems & Environment

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Soil carbon sequestration (SCS) is one of the cheapest and technically least demanding carbon dioxide (CO 2) removal (CDR) or negative CO 2 emission technologies. For a realistic assessment of SCS, it is critical to evaluate how much carbon (C) can be stored in soil organic matter under actual agricultural practices. This includes typical crop rotations and fertilization strategies, depends on resources that are available (e.g. farmyard manure (FYM)) and are affordable for farmers. Furthermore, it is important to assess SCS based on given climatic and soil conditions. Here, we evaluate changes in soil C storage for Switzerland using data from eleven long-term field experiments on cropland and permanent grassland that include common local practices. At all sites, changes in soil organic carbon (SOC) stocks were measured in topsoil (∼0-0.2 m) in response to a total of 80 different treatments including different types of mineral or organic fertilization (e.g. FYM, slurry, peat, compost) or soil management (tillage vs. no-till). The treatments were applied to different, diverse crop rotations or grass mixtures that are representative for Switzerland. We found that topsoils lost C at an average rate of 0.29 Mg C ha −1 yr −1 , although many of the investigated treatments were expected to lead to SOC increases. Based on a linear mixed effects model we showed that SOC change rates (ΔSOC) were driven by C inputs to soil (harvest residues and organic fertilizer), soil cover and initial SOC stocks. The type of land use or soil tillage had no significant effect. Our analysis suggests that current efforts to manage soils sustainably need to be intensified and complemented with further techniques if Switzerland wants to achieve the goal of the 4 per 1000 initiative.

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Section: Discussionmentioning

confidence: 99%

Loss of soil organic carbon in Swiss long-term agricultural experiments over a wide range of management practices

Keel

Anken

Büchi

et al. 2019

Agriculture, Ecosystems & Environment

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“…Nevertheless, the model can surely be improved by including more soil samples with SOM >5.5% in the future. Compared to previous studies predicting SOC facilitated by land use models and auxiliary data such as topography or climate data [11,49], the presented RFR model is capable of providing high accuracy prediction of SOM at pixel-level based on soil only remote sensing data. The independent sampling campaign at the Stadtfeld field ( Figure 9) reveals a good agreement for the majority of measured points.…”

Section: Soil Property Predictionmentioning

confidence: 94%

Understanding Fields by Remote Sensing: Soil Zoning and Property Mapping

Yüzügüllü

Lorenz²,

Fröhlich³

et al. 2020

Remote Sensing

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Precision agriculture aims to optimize field management to increase agronomic yield, reduce environmental impact, and potentially foster soil carbon sequestration. In 2015, the Copernicus mission, with Sentinel-1 and -2, opened a new era by providing freely available high spatial and temporal resolution satellite data. Since then, many studies have been conducted to understand, monitor and improve agricultural systems. This paper presents results from the SolumScire project, focusing on the prediction of the spatial distribution of soil zones and topsoil properties, such as pH, soil organic matter (SOM) and clay content in agricultural fields through random forest algorithms. For this purpose, samples from 120 fields were investigated. The zoning and soil property prediction has an accuracy greater than 90%. This is supported by a high agreement of the derived zones with farmer’s observations. The trained models revealed a prediction accuracy of 94%, 89% and 96% for pH, SOM and clay content, respectively. The obtained models for soil properties can support precision field management, the improvement of soil sampling and fertilization strategies, and eventually the management of soil properties such as SOM.

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“…The soil organic carbon content has also been explored in several other studies, for example by Stevens et al [118] on Central European croplands in Luxembourg using the airborne hyperspectral scanner AHS-160 or by Castaldi et al [113], who analyzed data from the airborne prism experiment (APEX) acquired in Belgium and Luxembourg. Deploying the Aisa/DUAL system, Kanning et al [133] estimated soil organic carbon (SOC) [134] and the soil particle fraction sand, silt, and clay. Furthermore, Paz-Kagan et al [135] developed a spectral soil quality index (SSQI) using airborne imaging spectroscopy.…”

Section: Pedologymentioning

confidence: 99%

Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity—Part I: Soil Characteristics

Lausch

Baade

Bannehr³

et al. 2019

Remote Sensing

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In the face of rapid global change it is imperative to preserve geodiversity for the overall conservation of biodiversity. Geodiversity is important for understanding complex biogeochemical and physical processes and is directly and indirectly linked to biodiversity on all scales of ecosystem organization. Despite the great importance of geodiversity, there is a lack of suitable monitoring methods. Compared to conventional in-situ techniques, remote sensing (RS) techniques provide a pathway towards cost-effective, increasingly more available, comprehensive, and repeatable, as well as standardized monitoring of continuous geodiversity on the local to global scale. This paper gives an overview of the state-of-the-art approaches for monitoring soil characteristics and soil moisture with unmanned aerial vehicles (UAV) and air- and spaceborne remote sensing techniques. Initially, the definitions for geodiversity along with its five essential characteristics are provided, with an explanation for the latter. Then, the approaches of spectral traits (ST) and spectral trait variations (STV) to record geodiversity using RS are defined. LiDAR (light detection and ranging), thermal and microwave sensors, multispectral, and hyperspectral RS technologies to monitor soil characteristics and soil moisture are also presented. Furthermore, the paper discusses current and future satellite-borne sensors and missions as well as existing data products. Due to the prospects and limitations of the characteristics of different RS sensors, only specific geotraits and geodiversity characteristics can be recorded. The paper provides an overview of those geotraits.

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Spatio-temporal land use dynamics and soil organic carbon in Swiss agroecosystems

Cited by 58 publications

References 76 publications

Loss of soil organic carbon in Swiss long-term agricultural experiments over a wide range of management practices

Loss of soil organic carbon in Swiss long-term agricultural experiments over a wide range of management practices

Understanding Fields by Remote Sensing: Soil Zoning and Property Mapping

Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity—Part I: Soil Characteristics

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