scholarly journals Effect of land use change on the structure of Gleyic Fluvisols in western Serbia

2014 ◽  
Vol 59 (2) ◽  
pp. 151-160
Author(s):  
Bosko Gajic ◽  
Branka Kresovic ◽  
Snezana Dragovic ◽  
Zorica Sredojevic ◽  
Ranko Dragovic
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Arable Land ◽  
Aggregate Stability ◽  
Arable Soil ◽  
Water Stability ◽  
Aggregate Distribution ◽  
Effects Of Land Use ◽  
Natural Grassland

Changes in land use can significantly affect aggregate distribution and water stability of structural aggregates. This study was conducted in the Kolubara River Valley, Western Serbia, to determine the effects of land use changes on composition and water stability of aggregates in humus horizons (0-30 cm) of noncarbonated Gleyic Fluvisols. This study was conducted at nine sites, where each site contained two adjacent land uses of natural grassland and arable land which underwent crop rotation for >100 years. Soil samples were taken from depths of 0-10, 10-20 and 20-30 cm for each land use. When the grassland was converted into arable land, the content of the agronomically most valuable aggregates (0.25-10 mm) of cultivated soils for a depth of 0-30 cm was significantly reduced by 22-40%, while the percentage of cloddy aggregates (>10 mm) increased by 41-68%, compared to grassland. In addition, the long-term arable soil had significantly (p<0.05) lower aggregate stability, determined by wet sieving, than grassland. The lowest aggregate stability was found in aggregates > 3 mm. Their content is ? 2.3 times lower in arable soil (12.6%) than in grassland (28.6%) at a depth of 0-10 cm. In addition, meanweight diameters of dry and wetstable aggregates and structure coefficient showed significant differences between land use at a depth of 0-30 cm. The results showed that the conversion of natural grassland to arable land in the lowland ecosystems of Western Serbia degraded aggregate distribution and stability.

scholarly journals Anthropogenic impact on biogenic Si pools in temperate soils

2011 ◽  
Vol 8 (3) ◽  
pp. 4391-4419 ◽  
Author(s):  
W. Clymans ◽  
E. Struyf ◽  
G. Govers ◽  
F. Vandevenne ◽  
D. J. Conley
Keyword(s):  
Land Use ◽  
Agricultural Development ◽  
Land Use Changes ◽  
Arable Land ◽  
Terrestrial Ecosystems ◽  
Human Land Use ◽  
Long Term Effect ◽  
Disturbed Land ◽  
The Impact

Abstract. Human land use changes directly affect silica (Si) mobilisation and Si storage in terrestrial ecosystems and influence Si export from the continents, although the magnitudes of the impact are unknown. Yet biogenic silica (BSi) in soils is an understudied aspect. We have quantified and compared total biogenic (PSia) and easily soluble (PSie) Si pools at four sites along a gradient of disturbance in southern Sweden. An estimate of the magnitude of change in temperate continental BSi pools due to human disturbance is provided. Land use clearly affects BSi pools and their distribution. Total PSia and PSie for a continuous forested site at Siggaboda Nature Reserve (66 900 ± 22 800 kg SiO2 ha−1 and 952 ± 16 kg SiO2 ha−1) are significantly higher than disturbed land use types from the Råshult Culture Reserve including arable land (28 800 ± 7200 kg SiO2 ha−1 and 239 ± 91 kg SiO2 ha−1), pasture sites (27 300 ± 5980 kg SiO2 ha−1 and 370 ± 129 kg SiO2 ha−1) and grazed forest (23 600 ± 6370 kg SiO2 ha−1 and 346 ± 123 kg SiO2 ha−1). Vertical PSia and PSie profiles show significant (p<0.05) variation among the sites. These differences in size and distribution are interpreted as the long-term effect of reduced BSi replenishment and increased mobilisation of the PSia in disturbed soils. In temperate regions, total PSia showed a 10 % decline since agricultural development (3000BCE). Recent agricultural expansion (after 1700CE) has resulted in an average export of 1.1 ± 0.8 Tmol Si yr−1, leading to an annual contribution of ca. 20 % to the global land-ocean Si flux carried by rivers. Human activities clearly exert a long-term influence on Si cycling in soils and contribute significantly to the land-ocean Si flux.

scholarly journals Regional Differentiation of Long-Term Land Use Changes: A Case Study of Czechia

Land ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 165 ◽  
Author(s):  
Premysl Stych ◽  
Jan Kabrda ◽  
Ivan Bicik ◽  
Josef Lastovicka
Keyword(s):  
Land Use ◽  
Driving Forces ◽  
Land Use Changes ◽  
Arable Land ◽  
Regional Differentiation ◽  
Modeling Tools ◽  
Gis Modeling ◽  
Strong Trend ◽  
The 19Th Century

The major topic of this article is the evaluation of the regional differentiation of the long-term changes in land use in Czechia. This study searches the spatial and temporal differentiation of the changes and their driving forces since the 19th century. The comprehensive land use land cover change database (LUCC Czechia Database) which comprises cadastral data on the land use in the years 1845, 1896, 1948, 1990, 2000, and 2010 for more than 8000 units, was the main data source. The chief benefit of this article can be seen in the methodical procedures of the application of the “Rate of heterogeneity” (H) derived from the Gini coefficient in the research of the differentiation/inequality of the long-term land use change. GIS modeling tools were used to calculate the selected geographical characteristics (altitude and slope) of the examined units for the purpose of searching the factors of the land use changes. The results show a strong trend in the differentiation of the long-term land use changes. Two main antagonistic processes took place in the land use structure during the observed period of 1845–2010. The fertile regions experienced agricultural intensification with the concentration of the arable land in these regions. On the other hand, the infertile regions experienced extensification, accompanied by afforestation and grass planting during the last decades. The influence of natural conditions (altitude and slope) on the distribution of the land use has been growing—the arable land has been concentrated into the lower altitudes and, more significantly, into less steep areas. Grasslands and forests predominantly occupy the less favored areas with higher altitudes and steeper slopes. The built-up areas have been strongly concentrated and regionally polarized. In 1845, half of the Czech built-up areas were concentrated in 31% of the total country area, whereas in 2010, it was in 21%.

Long term state of coastal lagoons in Veracruz, Mexico: Effects of land use changes in watersheds on seagrasses habitats

2014 ◽  
Vol 87 ◽  
pp. 30-39 ◽  
Author(s):  
Nadia E. Rivera-Guzmán ◽  
Patricia Moreno-Casasola ◽  
Silvia E. Ibarra-Obando ◽  
Vinicio J. Sosa ◽  
Jorge Herrera-Silveira
Keyword(s):  
Land Use ◽  
Coastal Lagoons ◽  
Land Use Changes ◽  
Effects Of Land Use

scholarly journals Long-term effects of land use/land cover change on surface runoff in urban areas of Beijing, China

2013 ◽  
Vol 8 (1) ◽  
pp. 084596 ◽  
Author(s):  
Zhongchang Sun ◽  
Xinwu Li ◽  
Wenxue Fu ◽  
Yingkui Li ◽  
Dongsheng Tang
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Surface Runoff ◽  
Urban Areas ◽  
Land Use Land Cover ◽  
Long Term Effects ◽  
Effects Of Land Use ◽  
Beijing China

Effects of land-use changes on plant functional and taxonomic diversity along a productivity gradient in wet meadows

2013 ◽  
Vol 24 (5) ◽  
pp. 898-909 ◽  
Author(s):  
Š. Janeček ◽  
F. de Bello ◽  
J. Horník ◽  
M. Bartoš ◽  
T. Černý ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Changes ◽  
Taxonomic Diversity ◽  
Wet Meadows ◽  
Productivity Gradient ◽  
Effects Of Land Use

scholarly journals Identification of sensitive indicators to assess the interrelationship between soil quality, management practices and human health

SOIL ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 173-185 ◽  
Author(s):  
R. Zornoza ◽  
J. A. Acosta ◽  
F. Bastida ◽  
S. G. Domínguez ◽  
D. M. Toledo ◽  
...  
Keyword(s):  
Land Use ◽  
Human Health ◽  
Soil Quality ◽  
Management Practices ◽  
Land Use Changes ◽  
Aggregate Stability ◽  
Health Indicators ◽  
Nutrient Content ◽  
Sustainable Land Use ◽  
Soil Quality Index

Abstract. Soil quality (SQ) assessment has long been a challenging issue, since soils present high variability in properties and functions. This paper aims to increase the understanding of SQ through the review of SQ assessments in different scenarios providing evidence about the interrelationship between SQ, land use and human health. There is a general consensus that there is a need to develop methods to assess and monitor SQ for assuring sustainable land use with no prejudicial effects on human health. This review points out the importance of adopting indicators of different nature (physical, chemical and biological) to achieve a holistic image of SQ. Most authors use single indicators to assess SQ and its relationship with land uses – soil organic carbon and pH being the most used indicators. The use of nitrogen and nutrient content has resulted sensitive for agricultural and forest systems, together with physical properties such as texture, bulk density, available water and aggregate stability. These physical indicators have also been widely used to assess SQ after land use changes. The use of biological indicators is less generalized, with microbial biomass and enzyme activities being the most selected indicators. Although most authors assess SQ using independent indicators, it is preferable to combine some of them into models to create a soil quality index (SQI), since it provides integrated information about soil processes and functioning. The majority of revised articles used the same methodology to establish an SQI, based on scoring and weighting of different soil indicators, selected by means of multivariate analyses. The use of multiple linear regressions has been successfully used for forest land use. Urban soil quality has been poorly assessed, with a lack of adoption of SQIs. In addition, SQ assessments where human health indicators or exposure pathways are incorporated are practically inexistent. Thus, further efforts should be carried out to establish new methodologies to assess soil quality not only in terms of sustainability, productivity and ecosystem quality but also human health. Additionally, new challenges arise with the use and integration of stable isotopic, genomic, proteomic and spectroscopic data into SQIs.

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