Spatio-temporal analysis of agricultural land-use intensity across the Western Siberian grain belt

Kühling, Insa; Broll, Gabriele; Trautz, Dieter

doi:10.1016/j.scitotenv.2015.11.129

Cited by 59 publications

(38 citation statements)

References 31 publications

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“…One long term field experiment (40 years) on Luvic Chernozem in a forest steppe of Tyumen province shows SOC losses of approximately 1 t (ha · y) −1 due to arable land use in comparison to unmanaged soils ( Eremin , 2012). Typical for agriculture in the province of Tyumen are low mineral fertilization rates and very few areas that are organically fertilized ( ROSSTAT , 2013; Kühling et al, 2016). Additional SOC losses are caused by conventional soil tillage that increases mineralization rates in the province of Tyumen ( Eremin , 2012).…”

Section: Discussionmentioning

confidence: 99%

“…This investigation was carried out in the Western Siberian forest steppe, because soil degradation is an important issue in this part of the Siberian Grain Belt ( ROSREESTR , 2012). Therefore, soil structure and further physical and chemical soil properties were examined within the scope of the interdisciplinary joint project SASCHA (Sustainable land management and adaptation strategies to climate change for the Western Siberian Grain Belt) ( SASCHA Project , 2011; Kühling and Trautz , 2015, Kühling et al, 2016). The first aim of this work was to detect differences of the soil structure in soils with agricultural use and soils without land use in the vicinity of the city of Tyumen, Russia.…”

Section: Introductionmentioning

confidence: 99%

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Soil structure of arable and non‐arable land in the Western Siberian Grain Belt in Russia—Application of the soil fingerprint code for topsoil characterization

Störrle

Hagedorn

Yurtaev

et al. 2016

J. Plant Nutr. Soil Sci.

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Soil structure is a key indicator for soil quality. Often, a degradation of the soil structure is the result of inappropriate land management. This investigation was carried out in the Western Siberian forest steppe, because soil degradation is an important issue in this part of the Siberian Grain Belt. Therefore, soil structure and further soil properties were examined in the vicinity of the city of Tyumen, Russia. Arable and non‐arable sites were compared by means of the soil fingerprint code (SFC). With SFC the soil surface conditions, chemical and physical parameters of the topsoil were recorded and evaluated in two depths: 0–5 cm and 5–30 cm. The suitability of the SFC to quantify changes of the soil structure of the topsoil was tested. The SFCs of arable and non‐arable sites show that soil structure deteriorates due to arable use. The percentage of granular aggregates decreases and the percentage of subangular blocky and angular blocky aggregates increases. Furthermore, ploughing leads to strong clod formation. Differences in soil structure between 0–5 cm and 5–30 cm soil depth were smaller at arable sites in comparison to non‐arable sites. It was ascertained the SFC is suitable to quantify changes of the soil structure.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Soil structure of arable and non‐arable land in the Western Siberian Grain Belt in Russia—Application of the soil fingerprint code for topsoil characterization

Störrle

Hagedorn

Yurtaev

et al. 2016

J. Plant Nutr. Soil Sci.

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“…There is a clear north-south-gradient recognizable in the land-use intensity in the Tyumen oblast (Kühling et al, 2016). The vegetation period is 106 days in the northernmost districts and 130 days in the southernmost one.…”

Section: Figure 1 Map Of Russian Federation and Location Of The Tyummentioning

confidence: 92%

“…Moreover, grassland and arable land have the highest land-use intensity in this area (Kühling et al, 2016).…”

Section: Figure 1 Map Of Russian Federation and Location Of The Tyummentioning

confidence: 98%

Greenhouse Gas Emissions from Livestock Manure Management in Southwestern Siberia, Russia

Störrle¹,

Brauckmann²,

Broll³

2017

SAR

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This study investigates the amounts of greenhouse gas (GHG) emissions due to manure handling within different livestock production systems in Tyumen oblast of Western Siberia. Tyumen oblast occupies approx. 160 000 km² of Asian taiga and forest steppe. The amount of GHGs from manure was calculated as a function of the handling according to current IPCC guidelines for ecozones and livestock production systems. The entire Tyumen oblast has annual 7 400 t methane emissions and 440 t nitrous oxide emissions from manure. Three livestock production systems are prevalent in Tyumen oblast: Mega farms, small farms and peasant farms. The share of mega farms is 81 % (171 kt CO 2 eq). Additionally, the slurry system in mega farms causes environmental pollution. GHG emissions and environmental pollution could be reduced by implementing solid manure systems or pasturing, by installing storage facilities for slurry outside the stables and through application of the manure as fertiliser at mega farms. In small farms solid manure systems and a small stocking density of livestock lead to smallest GHG emissions (1 %, 3 kt CO 2 eq) from manure. In peasant farming 18 % (38 kt CO 2 eq) of GHGs are emitted due to pasturing.

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“…Wang and Zhao [77] evaluated the ecological environment quality in Shaanxi, China, by calculating a synthetical ecological index from GlobaLand30-based biological richness index and vegetation coverage index at the 250 m level. Kühling et al [78] calculated proportion of grassland in total area of district/province in the Western Siberian grain belt, and then calculated the grassland intensity for every year (1996-2013) as the product of grazing livestock density, the proportion of grassland per province/district area, and the proportion of grazing livestock units kept by households. Ge et al [79] computed the ratio of the sum of the area of rivers, lakes, and reservoirs to the total area, which is an index to describe the fundamental ecological conditions of malaria transmission.…”

Section: Coupling Analysis With Earth System Modelsmentioning

confidence: 99%

Analysis and Applications of GlobeLand30: A Review

Chen

Cao

Peng

et al. 2017

IJGI

147

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GlobeLand30, donated to the United Nations by China in September 2014, is the first wall-to-wall 30 m global land cover (GLC) data product. GlobeLand30 is widely used by scientists and users around the world. This paper provides a review of the analysis and applications of GlobeLand30 based on its data-downloading statistics and published studies. An average accuracy of 80% for full classes or one single class is achieved by third-party researchers from more than 10 countries through sample-based validation or comparison with existing data. GlobeLand30 has users from more than 120 countries on five continents, and from all five Social Benefit Areas. The significance of GlobeLand30 is demonstrated by a number of published papers dealing with land-cover status and change analysis, cause-and-consequence analysis, and the environmental parameterization of Earth system models. Accordingly, scientific data sharing in the field of geosciences and Earth observation is promoted, and fine-resolution GLC mapping and applications worldwide are stimulated. The future development of GlobeLand30, including comprehensive validation, continuous updating, and monitoring of sustainable development goals, is also discussed.

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Spatio-temporal analysis of agricultural land-use intensity across the Western Siberian grain belt

Cited by 59 publications

References 31 publications

Soil structure of arable and non‐arable land in the Western Siberian Grain Belt in Russia—Application of the soil fingerprint code for topsoil characterization

Soil structure of arable and non‐arable land in the Western Siberian Grain Belt in Russia—Application of the soil fingerprint code for topsoil characterization

Greenhouse Gas Emissions from Livestock Manure Management in Southwestern Siberia, Russia

Analysis and Applications of GlobeLand30: A Review

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