RELATIONS BETWEEN SOIL ORGANIC CARBON AND OTHER SOIL PHYSICOCHEMICAL INDICES UNDER DIFFERENT LAND USE PATTERNS

2017 ◽  
Vol 24 (03) ◽  
pp. 1750039
Author(s):  
YUEFENG GUO ◽  
WEI QI ◽  
YUNFENG YAO ◽  
FUCANG QIN ◽  
YUHAN GAO ◽  
...  

This paper investigates the relations between soil organic carbon (SOC) and other physicochemical indices in low hills of Chifeng, Inner Mongolia, and thus to help with soil modification in low hills there. Grey relational analysis and stepwise regression analysis were used to uncover the relations of SOC with total N (TN), pH, available P (AP), available K (AK), and microbial biomass carbon (MBC) under eight land use patterns in a typical small watershed in Chifeng. The eight land uses were Prunus sibirica land, Caragana microphylla land, Populus simonii land, Ulmus pumila land, natural grassland, Pinus Tableulaeformis [Formula: see text] P. sibirica mixed land, secondary forest of natural bush land, and agricultural land. The average SOC contents in the 0–100[Formula: see text]cm layer in the above eight land use patterns are 7.72, 5.32, 7.40, 6.11, 3.14, 10.26, 17.51 and 5.34[Formula: see text]g/kg, respectively, indicating significant differences. The relation coefficients of SOC with TN, pH, MBC, AK, and AP are 0.70, 0.66, 0.63, 0.57 and 0.55, respectively, under all land use patterns. SOC contents are significantly different among these land use patterns, and the relation coefficients of SOC with other physicochemical indices rank in the order as: [Formula: see text]. The optimum regression equation of SOC ([Formula: see text] with TN ([Formula: see text] and pH ([Formula: see text] was built: [Formula: see text], ([Formula: see text]).

2005 ◽  
Vol 69 (5) ◽  
pp. 1580-1589 ◽  
Author(s):  
S. Somaratne ◽  
G. Seneviratne ◽  
U. Coomaraswamy

2019 ◽  
Vol 27 (4) ◽  
pp. 4337-4352
Author(s):  
Mengyun Liu ◽  
Mengmeng Liu ◽  
Peng Li ◽  
Jinghan Yang ◽  
Jing Wang ◽  
...  

2010 ◽  
Vol 18 (2) ◽  
pp. 267-271 ◽  
Author(s):  
Yin-Ke LI ◽  
Shi-Zeng LIU ◽  
Fa-Ming LI ◽  
Duo-Qing MAN ◽  
Shu-Juan ZHU ◽  
...  

2019 ◽  
Vol 8 (1) ◽  
pp. 87-91
Author(s):  
Bhanu Priya Chouhan ◽  
Monika Kannan

The world is undergoing the largest wave of urban growth in history. More than half of the world’s population now lives in towns and cities, and by 2030 this number will swell to about 5 billion. ‘Urbanization has the potential to usher in a new era of wellbeing, resource efficiency and economic growth. But due to increased population the pressure of demand also increases in urban areas’ (Drakakis-Smith, David, 1996). The loss of agricultural land to other land uses occasioned by urban growth is an issue of growing concern worldwide, particularly in the developing countries like India. This paper is an attempt to assess the impact of urbanization on land use and land cover patterns in Ajmer city. Recent trends indicate that the rural urban migration and religious significance of the place attracting thousands of tourists every year, have immensely contributed in the increasing population of city and is causing change in land use patterns. This accelerating urban sprawl has led to shrinking of the agricultural land and land holdings. Due to increased rate of urbanization, the agricultural areas have been transformed into residential and industrial areas (Retnaraj D,1994). There are several key factors which cause increase in population here such as Smart City Projects, potential for employment, higher education, more comfortable and quality housing, better health facilities, high living standard etc. Population pressure not only directly increases the demand for food, but also indirectly reduces its supply through building development, environmental degradation and marginalization of food production (Aldington T, 1997). Also, there are several issues which are associated with continuous increase in population i.e. land degradation, pollution, poverty, slums, unaffordable housing etc. Pollution, formulation of slums, transportation congestion, environmental hazards, land degradation and crime are some of the major impacts of urbanization on Ajmer city. This study involves mapping of land use patterns by analyzing data and satellite imagery taken at different time periods. The satellite images of year 2000 and 2017 are used. The change detection techniques are used with the help of Geographical Information System software like ERDAS and ArcGIS. The supervised classification of all the three satellite images is done by ERDAS software to demarcate and analyze land use change.


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