scholarly journals Land Use Transition and Its Influencing Factors in Poverty-Stricken Mountainous Areas of Sangzhi County, China

2019 ◽  
Vol 11 (18) ◽  
pp. 4915 ◽  
Author(s):  
Wenhai Xie ◽  
Wanfu Jin ◽  
Kairui Chen ◽  
Jilin Wu ◽  
Chunshan Zhou

Previous studies have rarely revealed the characteristics and influencing factors of land use transformation (LUT) in poverty-stricken areas, where multiple actions of cultivated land protection are undertaken. The land use conversion matrix and Spatial Durbin Model were used to analyze the characteristics and influence factors of LUT based on remote sensing interpretation data of Sangzhi County in 2010, 2015, and 2018. The results demonstrate the following: (1) From 2010–2018, cultivated land, forest land, waters, and urban and rural construction land in Sangzhi County increased by 4.91%, 0.03%, 58.99%, and 55.63%, respectively, and grassland decreased by 13.32%. (2) Terrain, territorial, and traffic conditions were common influence factors of the land use type conversion (i.e., forest land to cultivated land, grassland to forest land, cultivated land to forest land, grassland to cultivated land, and cultivated land to urban and rural construction land). The conversion of land use type has a negative effect on the land use type conversion of adjacent townships. Territorial and traffic conditions affect the land use type conversion of adjacent townships. The results illuminate LUT at the township scale in mountainous areas and are beneficial to promoting the sustainable use of land resources and poverty alleviation.

2014 ◽  
Vol 955-959 ◽  
pp. 4078-4082
Author(s):  
Zhao Yan Diao ◽  
De Rong Su ◽  
Sheng Xing Ye ◽  
Zhi Rong Zheng ◽  
Chao Yang Feng

An application of GIS and the landscape pattern analysis software FRAGSTAS were used for research the changes of landscape structure nearly 14 years of Huihe basin in the hulunbuir prairie. The results show that, (1) from 1995 to 2010, cultivated land, grassland, basin forest area decreased, other land use type area were increased, and sand was the most obvious. From the grass internal structure change, low coverage in the grass and grassland area coverage in the proportion of total area decrease by 0.4% and 7.2% respectively in 14 years, and the high coverage grassland area ratio increases by 3.3%. Internal composition structure of forest land, the most significant change was shrubbery area, the area is reduced by 2.57%, the proportion of forestland of increased by 2.05%, and the proportion of open woodland area does not change significantly. (2) the land use type conversion frequently in basin area, large area and large proportion of the land use type conversion mainly in farmland, forest land, meadow and the sand. In the province, the main cultivated land into high, medium, and in the forest coverage grass, shrub and grass high coverage into cultivated land; Wetland overall increased; Sand of forest area into grass and open woodland, medium and low coverage grass coverage into the sand in the grass province. landscape pattern driving force analysis shows that the climate warming and human activities on the trend and rational use of natural resources, which lead the Huihe basin in the service function of ecological to degradation.


2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Mei Zhang ◽  
Xianjin Huang ◽  
Xiaowei Chuai ◽  
Hong Yang ◽  
Li Lai ◽  
...  

2019 ◽  
Vol 17 (1) ◽  
pp. 105-115 ◽  
Author(s):  
Jiao-Jiao Han ◽  
Xu Duan ◽  
Yang-Yi Zhao ◽  
Meng Li

AbstractSoil moisture, stable hydrogen, and oxygen isotopes were sampled and determined in a demonstration area of soil and moisture conservation at the Laocheng Town of Yuanmou County in Chuxiong Prefecture, Yunnan of three land use types: Leucaena Benth artificial forest, Heteropogon contortus grass field, and farmland. The characteristics of stable hydrogen and oxygen isotopes of soil moisture in these different land use types at different soil depths were analyzed to investigate the regularities in the quantitative formation of soil moisture balance. In terms of forest land, we found that the variable coefficient of hydrogen isotopes in the 0-20 cm soil layer was the smallest, but decreased with depth under 20 cm. While in grassland, the variable coefficient in 80-100 cm was the largest, and decreased with depth above 80 cm. As for farmland, the variable coefficient in the top 20 cm was the largest, followed by 40-60 cm, and the medium 20-40 cm was the smallest. The soil moisture hydrogen isotope values of three land use type were different at surface layer, but prone to be consistent in each type. Along the soil depth in forest land, the hydrogen isotope increased first and then decreased, while increased in the end, and the maximum appeared in 80-100 cm. In grassland, the hydrogen isotope increased initially as the forest land but then decreased continuously, so the maximum was found at 20-40 cm. And in grassland, the hydrogen isotope of all depths were higher than which of forest land and farmland. In same land use type, the hydrogen isotope of soil moisture changed significantly at the surface, and the variation of hydrogen isotopes was obviously decreased along the depth. Our findings could provide reference data which would contribute to the assessment of regional groundwater resources in the dry-hot valley of Yuanmou in this study.


2018 ◽  
Vol 6 (2) ◽  
pp. 60
Author(s):  
Gita Bahana Simarmata ◽  
Rommy Qurniati ◽  
Hari Kaskoyo

Forest land use is an activity which is committed by the community near the forest to fulfill the needs of their life. This research intended to determine factors that influence land utilization in Wan Abdul Rachman Forest Park. Utilization of forest land was assumed as the number of plant species that planted in forest land. The analysis of this research used multiple linear regressions to test factors that influence the number of plant species. This research showed that the number of plant species was influenced by duration of farming and land area size. It was revaled that longer duration of farming and larger community’s land would increase the number of plant species that has economic values.Keywords: land area, number of plant species, duration of farming, utilization of forest land.


2014 ◽  
Vol 955-959 ◽  
pp. 4002-4008 ◽  
Author(s):  
Jing Chen ◽  
Mei Chen Fu ◽  
Jing Wei

Based on the remote sensing image data of 1970, 1980, 1990, 2000 and 2008, the transfer matrix of land use/cover change were extracted using ArcGIS software, and the paper analyzed the spatial and temporal change of land use/cover change using barycenter transfer model. Results showed that: (1) From 1970 to 2008, cultivated land had been dominated land use type, followed by water area, construction land and unexploited land, and there was small proportion of forest land and grass land; forest land, water area, construction land and unexploited land were increased, and cultivated land and grass land were decreased; the conversions among cultivated land, water area and unexploited land were more closely. (2) The study on barycenter transfer model indicated that from 1970 to 2008, the barycenter transfer direction of cultivated land and construction land was north by west, and the barycenter transfer direction of forest land and unexploited land was south by west, and the barycenter transfer direction of grass land was south by east, with the maximum distance; and that of water area was north by east.


2021 ◽  
Vol 82 (1) ◽  
Author(s):  
Belayneh Bufebo ◽  
Eyasu Elias ◽  
Emana Getu

Abstract Background Land use can exert a strong influence on the abundance, diversity, and community composition of soil macro-fauna. This study was conducted to evaluate the effects of four land use types on the abundance and diversity of soil invertebrate macro-fauna communities. These land uses include forest land, grazing land, crop cultivated outfields, and homestead garden fields present at Shenkolla watershed, south central Ethiopia. Monolith sampling of soil macro-fauna was done according to the standard of Tropical Soils Biology and Fertility Institute (TSBF) procedure. Five sampling points were chosen in each land use type and small monolith (25 × 25 × 30 cm) was dug out at 5-m interval along a transect with randomly positioned starting point, but perpendiculars to the slope. A total of 20 monoliths (4 treatments × 5 replications) were taken across all the land use types. Sampling of SIMF was carried out in April 2019 where soil macro-faunas are known to be more active. To evaluate the SIMF community eight parameters were measured: Shannon-Wiener index, Simpson diversity index, Pielou’s measure of evenness, Margalef’s diversity index, the Number of Occurrence Index, Relative abundance, Density (individuals per square meter) of each taxon and density of all SIMF and Bray-Curtis similarity index. The data were further analyzed using ANOVA and a general linear model to determine the variation and the influence of land use type, respectively. Results In general, 332 individuals, 10 orders, 12 families, and 15 species were identified, from the collected samples. There were significant differences (p < 0.05) among the four land use types for SIMF except wireworm, spiders, and millipedes. Overall abundance and diversity were lowest in the crop cultivated outfields and highest in homestead garden fields and forest land. Bray-Curtis’ similarity was highest between the sampled sites s16 and s19 with in the forest land, and lowest (2%) between sites s1 (crop cultivated out fields) and s14 (homestead garden fields). Conclusion The results revealed that the diversity of SIMF was positively influenced by forest land and homestead garden fields and negatively influenced in grazing land and cultivated outfields. Therefore, maintenance of a continuous litter cover at the surface and application of a wide range of organic fertilizers (farmyard manure, household refuse, and compost) is very much critical to prevent the decrease in diversity of SIMF.


2020 ◽  
Vol 12 (5) ◽  
pp. 1818 ◽  
Author(s):  
Guanglian Luo ◽  
Bin Wang ◽  
Dongqi Luo ◽  
Chaofu Wei

The rural settlements in poverty-stricken mountainous areas are the "living fossils" of an economic society with the characteristics of spatial dispersion and are slowly changing. Spatial agglomeration is the development direction of rural settlements. In-depth exploration of the spatial agglomeration characteristics and influencing factors of rural settlements in poverty-stricken mountainous areas is a way to provide a basis for rural settlement restructuring. We selected Pengshui County, a national poverty-stricken county in the southwestern mountainous area of China, as the research area. Spatial buffer and kernel density analysis were used to analyze the agglomeration characteristics of rural settlements and influencing factors. The results show that: (1) The rural settlements are small in scale and the space is evenly dispersed. 55.63% of the rural settlements’ sizes are less than 1000 m2, 84.15% of the rural settlements’ sizes are less than 2500 m2, and 92.81% of the rural settlements are within 200 m. (2) The elevation and slope of topographic factors have a significant agglomeration effect on rural settlements. However, the slope direction has no agglomeration effect. 85.41% of rural settlements (52.75% of rural settlements are gathered between 400 and 800 m above sea level) are gathered at an altitude of 1000 m or less, and 77.59% of rural settlements are gathered with a slope of 6~25°. Additionally, there are few rural settlements with a slope of 0~2°. Moreover, the distribution of residential areas has no agglomeration effect on rural settlements. (3) The cultivated land exerts the most significant effect on rural settlements followed by roads and water sources, while the role of urban land is weak. 99.48% of rural settlements are concentrated in the 100 m area of cultivated land. Therefore, in the poverty-stricken mountainous areas in the southwestern mountainous areas of China, convenient farming is the primary condition for production and living. Rural settlements are highly correlated with cultivated land. Rural settlements are scattered and concentrated with the scattered cultivated land. The rural settlements were leaded by the distribution of cultivated land. Less high-quality cultivated land with less slope were occupied or not by rural residential areas’ people.


2019 ◽  
Vol 11 (12) ◽  
pp. 3286 ◽  
Author(s):  
Jincai Ma ◽  
Sumiya Nergui ◽  
Ziming Han ◽  
Guannan Huang ◽  
Huiru Li ◽  
...  

From the west to the east across Northeast China, there are three major land use types, ranging from agricultural-pastoral interlaced land, crop land, and forest land. The soil microbial community of each land use type has been reported; however, a thorough comparison of the soil microbial ecology of soils from each land use type has not been made. In the current study, soil samples from agricultural-pastoral land, crop land, and an artificial economic forest were collected from Tongliao, Siping, and Yanji, respectively. The structure and composition of bacterial and fungal communities was investigated by a next generation sequencing protocol, and soil physicochemical properties were also determined. Pair-wise analysis showed some soil parameters were significantly different between agricultural-pastoral land and crop land or forest land, while those soil parameters shared more similarities in crop land and forest land soils. Principal coordinates analysis and dissimilarity analyses jointly indicated that bacterial and fungal communities from each sampling site were quite different. Canonical correspondence analysis and a partial Mantel test showed that the community structures of bacteria and fungi were mainly affected by clay, pH, water soluble organic carbon (WSOC), and total soluble nitrogen (TN). Co-occurrence network analysis and the associated topological features revealed that the network of the bacterial community was more complex than that of the fungal community. Clay, pH, WSOC, and NH4+-N were major drivers and pH and WSOC were major factors in shaping the network of the bacterial community and the fungal community, respectively. In brief, our results indicated that microbial diversity, co-occurrence network patterns, and their shaping factors differed greatly among soils of distinct land use types in Northeast China. Our data also provided insights into the sustainable use of soils under different land use types.


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