Dynamics models of soil organic carbon

Yang, Lixia; Pan, Jianjun

doi:10.1007/bf02857862

Cited by 9 publications

(2 citation statements)

References 39 publications

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“…The model RothC-26.3 is focused on the turnover of organic C in non-waterlogged soils that allow analysing the effects of soil type, temperature, moisture content and plant cover on the turnover process [39,40]. There were also developed many other models [41][42][43]. Available models need different types of input information (e.g., weather, sowing procedure, plan of work on the field, fertilisation, etc.)…”

Section: Introductionmentioning

confidence: 99%

The Soil Organic Matter in Connection with Soil Properties and Soil Inputs

et al. 2021

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The content of organic matter in the soil, its labile (hot water extractable carbon–HWEC) and stable (soil organic carbon–SOC) form is a fundamental factor affecting soil productivity and health. The current research in soil organic matter (SOM) is focused on individual fragmented approaches and comprehensive evaluation of HWEC and SOC changes. The present state of the soil together with soil’s management practices are usually monitoring today but there has not been any common model for both that has been published. Our approach should help to assess the changes in HWEC and SOC content depending on the physico-chemical properties and soil´s management practices (e.g., digestate application, livestock and mineral fertilisers, post-harvest residues, etc.). The one- and multidimensional linear regressions were used. Data were obtained from the various soil´s climatic conditions (68 localities) of the Czech Republic. The Czech farms in operating conditions were observed during the period 2008–2018. The obtained results of ll monitored experimental sites showed increasing in the SOC content, while the HWEC content has decreased. Furthermore, a decline in pH and soil´s saturation was documented by regression modelling. Mainly digestate application was responsible for this negative consequence across all soils in studied climatic regions. The multivariate linear regression models (MLR) also showed that HWEC content is significantly affected by natural soil fertility (soil type), phosphorus content (−30%), digestate application (+29%), saturation of the soil sorption complex (SEBCT, 21%) and the dose of total nitrogen (N) applied into the soil (−20%). Here we report that the labile forms (HWEC) are affected by the application of digestate (15%), the soil saturation (37%), the application of mineral potassium (−7%), soil pH (−14%) and the overall condition of the soil (−27%). The stable components (SOM) are affected by the content of HWEC (17%), soil texture 0.01–0.001mm (10%), and input of organic matter and nutrients from animal production (10%). Results also showed that the mineral fertilization has a negative effect (−14%), together with the soil depth (−11%), and the soil texture 0.25–2 mm (−21%) on SOM. Using modern statistical procedures (MRLs) it was confirmed that SOM plays an important role in maintaining resp. improving soil physical, biochemical and biological properties, which is particularly important to ensure the productivity of agroecosystems (soil quality and health) and to future food security.

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Section: Introductionmentioning

confidence: 99%

The Soil Organic Matter in Connection with Soil Properties and Soil Inputs

et al. 2021

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“…More complex approaches usually involve processbased models which simulate carbon dynamics in the vegetation (Kim et al 2015) and in the soil (Smith et al 1997;Li-Xia & Jian-Jun 2003), considering interactions between soil, climate, vegetation growth, disturbances and/or land-use change. The economic valuation of the service is usually conducted under cost-based methods, often using the avoided damage costs approach (Brouwer et al 2013, de Groot et al 2012 to estimate the economic benefits from carbon sequestration and storage.…”

Section: Introductionmentioning

confidence: 99%

Analysing carbon sequestration and storage dynamics in a changing mountain landscape in Portugal: insights for management and planning

Sil

Fonseca

Gonçalves

et al. 2017

International Journal of Biodiversity Science, Ecosystem Servic

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We assessed the effects of landscape change on the climate regulation ecosystem service in a mountain river basin of Portugal, through the quantification, valuation and mapping of carbon sequestration and storage. The analyses were based on land use and land cover (LULC) changes that took place between 1990 and 2006 and on expected changes defined by three LULC change scenarios for 2020. We used the Integrated Valuation of Ecosystem Services and Tradeoffs model for scenario building and carbon assessment and valuation, and several modelling tools to assess past, current and future carbon in four different pools. Soil organic carbon data was obtained through an extensive sampling scheme across the entire study area. Recent (1990Recent ( -2006 and expected landscape changes (2006-2020) affected considerably carbon sequestration and storage. Observed landscape changes generally promoted carbon sequestration and storage, and had a positive effect on the climate regulation ecosystem service, both biophysically and economically. Expected LULC changes further extend the capability of the landscape to increase carbon sequestration and storage in the near future. The carbon sequestered and stored in vegetation and soil contributes to avoid socio-economic damages from climate change, while increasing the economic value of particular LULC classes and the whole landscape. These results are essential to inform land planning, especially on how, where and when changes in landscapes may affect the provision of the climate regulation ecosystem service. ARTICLE HISTORY

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Information Acquisition for Farmland Soil Carbon Sink Impact Factors Based on ZigBee Wireless Network

Bingbing

Zhai

Sun

et al. 2016

Computer and Computing Technologies in Agriculture IX

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As the main part of terrestrial ecosystem, farmland ecological system's estimation of carbon sink not only can help to understand the soil organic carbon content in farmland and increase the crop yield, but also can have great significance to the research on farmland ecosystem's influence to global climate warming. Through analyzing soil organic carbon estimation model of carbon sink factors, this article provides a method using multi sensors technology to acquire impact factors of soil carbon sink estimation and upload the results to the host computers by Zigbee+GPRS technology to realize the estimation of regional soil organic carbon in farmland. This research sets its research area in wheat experimental field in Yanzhou, Shandong Province, and by laying sensor nodes in the experimental field to acquire impact factors, the research aims to build reliable transmission of acquired factors by the Zigbee wireless sensor network, combined with GPRS technology. The result shows that this method can realize the reliable transmission of impact factors of the soil carbon sink in farmland and is of great significance to improve the accuracy of the estimation of soil carbon sink.

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Dynamics models of soil organic carbon

Cited by 9 publications

References 39 publications

The Soil Organic Matter in Connection with Soil Properties and Soil Inputs

The Soil Organic Matter in Connection with Soil Properties and Soil Inputs

Analysing carbon sequestration and storage dynamics in a changing mountain landscape in Portugal: insights for management and planning

Information Acquisition for Farmland Soil Carbon Sink Impact Factors Based on ZigBee Wireless Network

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