scholarly journals Study on comprehensive planning of rocky desertification in karst area of Chongqing

2017 ◽  
Vol 94 ◽  
pp. 012041 ◽  
Author(s):  
Yajun Zang
Keyword(s):  
Karst Area ◽  
Comprehensive Planning ◽  
Rocky Desertification

Analysis of Ecological Service Value in Vulnerable Karst Area of Southwestern Guizhou

2011 ◽  
Vol 347-353 ◽  
pp. 2241-2244
Author(s):  
Feng Tai Zhang ◽  
La Chun Wang ◽  
Wei Ci Su ◽  
Yu Hua Liang ◽  
Ji Xin Shao ◽  
...  
Keyword(s):  
Ecosystem Services ◽  
Ecosystem Service ◽  
Local Economy ◽  
Karst Area ◽  
Karst Region ◽  
Ecosystem Service Value ◽  
Rocky Desertification ◽  
Service Value ◽  
Unit Value ◽  
Southwestern Guizhou

The domestic and foreign evaluations of ecosystem service value are difficult to draw on results accepted by the public and academia. This reflects the research methods are still not mature, need to continue to be improved. In this paper, an attempt has been made to give urban unit value of ecosystem services and set up the values per unit area in southwestern Guizhou of China, in accordance with unit value of global ecosystem services developed by Costanza, et al., Chinese one by Xie, et al. and the actual situation of karst region. The analysis revealed that in the study area, the total ecosystem service value is $1.876×109 in 2006, equivalent to 104.3% of 2006 GDP (Gross Domestic Product), $1.799×109（1US$=7.8136，2006）. If the rocks change into forest in the study area, ecosystem service value will add $0.221×109, equivalent to 12.28% of GDP in 2006. Therefore, we conclude that the ecosystem services value is higher, compared to the local economy. In addition, the rocky desertification area is larger, and has already seriously influenced ecosystem service function. The tasks of ecological environment protection, propaganda and education in this region are of great significance.

scholarly journals STUDY ON KARST INFORMATION IDENTIFICATION OF QIANDONGNAN PREFECTURE BASED ON RS AND GIS TECHNOLOGY

2018 ◽  
Vol XLII-3 ◽  
pp. 2121-2125
Author(s):  
M. Yao ◽  
G. Zhou ◽  
W. Wang ◽  
Z. Wu ◽  
Y. Huang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Karst Area ◽  
Karst Region ◽  
Karst Collapse ◽  
Distribution Map ◽  
Visual Interpretation ◽  
Remote Sensing Images ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Karst Areas

Karst area is a pure natural resource base, at the same time, due to the special geological environment; there are droughts and floods alternating with frequent karst collapse, rocky desertification and other resource and environment problems, which seriously restrict the sustainable economic and social development in karst areas. Therefore, this paper identifies and studies the karst, and clarifies the distribution of karst. Provide basic data for the rational development of resources in the karst region and the governance of desertification. Due to the uniqueness of the karst landscape, it can’t be directly recognized and extracted by computer in remote sensing images. Therefore, this paper uses the idea of “RS + DEM” to solve the above problems. this article is based on Landsat-5 TM imagery in 2010 and DEM data, proposes the methods to identify karst information research what is use of slope vector diagram, vegetation distribution map, distribution map of karst rocky desertification and other auxiliary data in combination with the signs for human-computer interaction interpretation, identification and extraction of peak forest, peaks cluster and isolated peaks, and further extraction of karst depression. Experiments show that this method achieves the “RS + DEM” mode through the reasonable combination of remote sensing images and DEM data. It not only effectively extracts karst areas covered with vegetation, but also quickly and accurately locks down the karst area and greatly improves the efficiency and precision of visual interpretation. The accurate interpretation rate of karst information in study area in this paper is 86.73 %.

scholarly journals Dynamic Evolution of the Ecological Carrying Capacity of Poverty-Stricken Karst Counties Based on Ecological Footprints: A Case Study in Northwestern Guangxi, China

2020 ◽  
Vol 17 (3) ◽  
pp. 991
Author(s):  
Shana Shi ◽  
Baoqing Hu ◽  
Yan Yan ◽  
Xiaoqing Li ◽  
Kaichun Zhou ◽  
...  
Keyword(s):  
Carrying Capacity ◽  
Poverty Rate ◽  
Karst Area ◽  
Karst Region ◽  
Rocky Desertification ◽  
Evolutionary Patterns ◽  
The Sustainable Development ◽  
Ecological Carrying Capacity ◽  
The Status ◽  
Poverty Levels

The karst area in northwestern Guangxi is poor, underdeveloped, and ecologically fragile. It is experiencing rocky desertification, which creates challenges that are more severe than those of other regional ecological environments. In this paper, the ecological footprint (EF) model is used to analyze the ecological carrying capacity (EC) in northwestern Guangxi from 1995 to 2015, and the differences in karst counties with different poverty levels are discussed. The results show that (1) since 1995, the EC of northwestern Guangxi has continued to decrease, the EF has continued to increase, the ecological deficit (ED) has been expanding, and the status of the region has been unsustainable for a long time. (2) The evolutionary patterns, EF and EC of karst counties with different poverty levels are different. The county with the lowest poverty rate has the fastest growth rate of the per capita EF. The county with the largest proportion of karst area has the lowest EC. (3) It is recommended that different types of counties take different measures, including strengthening ecological environment protection, carrying out rocky desertification control and ecological resettlement projects, and reducing energy consumption. This study can provide information for the sustainable development of the karst region and provide decision support for regional poverty alleviation.

Relationship between karst rocky desertification and its distance to roadways in a typical karst area of Southwest China

2012 ◽  
Vol 70 (1) ◽  
pp. 295-302 ◽  
Author(s):  
Qiyong Yang ◽  
Zhongcheng Jiang ◽  
Zulu Ma ◽  
Weiqun Luo ◽  
Yunqiu Xie ◽  
...  
Keyword(s):  
Southwest China ◽  
Karst Area ◽  
Karst Rocky Desertification ◽  
Rocky Desertification

The relations between land use and karst rocky desertification in a typical karst area, China

2008 ◽  
Vol 57 (3) ◽  
pp. 621-627 ◽  
Author(s):  
Yang-bing Li ◽  
Jing-an Shao ◽  
Hua Yang ◽  
Xiong-yong Bai
Keyword(s):  
Land Use ◽  
Karst Area ◽  
Karst Rocky Desertification ◽  
Rocky Desertification

scholarly journals The Impact of Urbanization on Ecosystem Health in Typical Karst Areas: A Case Study of Liupanshui City, China

2020 ◽  
Vol 18 (1) ◽  
pp. 93
Author(s):  
Yangling Zhao ◽  
Rui Han ◽  
Nan Cui ◽  
Jingbiao Yang ◽  
Luo Guo
Keyword(s):  
Ecosystem Health ◽  
Raw Materials ◽  
Management Policy ◽  
Karst Area ◽  
Karst Region ◽  
Rocky Desertification ◽  
Rapid Urbanization ◽  
Karst Areas ◽  
Impact Of Urbanization ◽  
The Impact

The karst region of Southwest China is one of the largest continuous karst areas in the world, and the ecosystem in the karst region is extremely fragile. The city of Liupanshui, a typical karst area in southwestern China, has provided the main energy and raw materials during China’s rapid urbanization in the past few decades. With the continuous deterioration of the environment in Liupanshui and from the viewpoint of sustainable development strategies, research on ecosystem health (ESH) and the assessments of correlations between urbanization and ESH plays an important role in regional sustainable eco-environmental development. Therefore, the impact of urbanization on the ecosystem health of the study area was discussed in this study using a series of remote sensing images and socio-economic data from 1990 to 2015. Studies showed that Liupanshui is undergoing rapid urbanization, and the growth of urbanized land reached a peak between 2010 and 2015. From 1990 to 2015, the level of ESH in Liupanshui trended downward and then increased. During 2000 to 2010, due to the policy of returning farmland to grassland and forestland, the substantial increase in woodland and grassland and the management policy of mining areas have caused a turn in ESH. Although the value of ecosystem health in 2010–2015 increased, the process of urbanization is rapid, so we should pay more attention to the trend in future ecosystem health changes. The findings revealed that urbanization significantly negatively affects the ecosystem health of Liupanshui, and mining has the greatest impact. Therefore, in future urban development, strengthening the management of resource extraction and the supervision of environmental protection, continuing to return farmland to grassland and forestry, and controlling rocky desertification can improve the health of the urban ecosystem in the study area.

scholarly journals Crops planting structure and karst rocky desertification analysis by Sentinel-1 data

2021 ◽  
Vol 13 (1) ◽  
pp. 867-879
Author(s):  
Lingyu Wang ◽  
Quan Chen ◽  
Zhongfa Zhou ◽  
Xin Zhao ◽  
Jiancheng Luo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Arable Land ◽  
Strong Support ◽  
Karst Area ◽  
Good Effect ◽  
Mountainous Areas ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Spatial Coupling

Abstract Accurate crop planting structure (CPS) information and its relationship with the surrounding special environment can provide strong support for the adjustment of agricultural structure in areas with limited cultivated land resources, and it will help regional food security, social economy, and ecological balance adjustment. However, due to the perennial cloudy, rainy, and scattered arable land in Karst mountainous areas, the monitoring of planting structure by traditional remote sensing methods is greatly limited. In this regard, we focus on synthetic aperture radar (SAR) remote sensing, which can penetrate clouds and rain, without light constraints to image. In this article, based on parcel-based temporal sequence SAR, the CPS in South China karst area was extracted by deep learning technology, and the spatial coupling relationship between CPS and karst rocky desertification (KRD) was analyzed. The results showed that: (a) The overall accuracy of CPS classification was 75.98%, which proved that the geo-parcel-based time series SAR has a good effect for the CPS mapping in the karst mountainous areas; (b) Through the analysis of the spatial relationship between the planting structure and KRD, we found that the lower KRD level caused the simpler CPS and the higher KRD grade caused more complex CPS and more richer landscape types. The spatial variation trend of CPS landscape indicates the process of water shortage and the deepening of KRD in farmland; (c) The landscape has higher connectivity (Contagion Index, CI 0.52–1.73) in lower KRD level and lower connectivity (CI 0.83–2.05) in higher KRD level, which shows that the degree of fragmentation and connection of CPS landscape is positively proportional to the degree of KRD. In this study, the planting structure extraction of crops under complex imaging environment was realized by using the farmland geo-parcels-based time series Sentinel-1 data, and the relationship between planting structure and KRD was analyzed. This study provides a new idea and method for the extraction of agricultural planting structure in the cloudy and rainy karst mountainous areas of Southwest China. The results of this study have certain guiding significance for the adjustment of regional agricultural planting structure and the balance of regional development.

The Distribution Characteristics of Rocky Desertification and Land Use/Land Cover in Karst Gorge Area

2012 ◽  
Vol 518-523 ◽  
pp. 4661-4669 ◽  
Author(s):  
Bin Ying ◽  
Shi Zhen Xiao ◽  
Kang Ning Xiong ◽  
Qi Wei Chen ◽  
Jing Sheng Luo
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Control Measures ◽  
Karst Area ◽  
Land Use Land Cover ◽  
Remote Sensing Images ◽  
Large Area ◽  
Rocky Desertification ◽  
Spot 5 ◽  
Steep Slopes

The Huajiang Demonstration Area, which is a representative karst area with typical rocky desertification landscape in Guizhou was chosen as the study area. Based on the 5m resolution Spot 5 remote sensing images, the topographic maps (1:10 000) and the land use map etc, the rocky desertification of the area was interpreted. We took quantitative analysis through introducing two concepts: the rocky desertification occurrence among land use/land cover and the land use/ cover structure value of rocky desertification. The data showed that(1) the proportion of highly steep slopes in the study area is one of the reasons leading to large area of rocky desertification; (2)The rocky desertification occurrence among different land use/cover is different, and the land use/ cover type structure among rocky desertification is also different among all grades of desertification; (3)Rocky desertification intensity in different land use/cover can’t be measured in means of rocky desertification occurrence, high rocky desertification occurrence may be in a low-intensity state, and vice versa. (4)It is suggested that land use conditions, rocky desertification grades, and terrain of the land should be fully considered in the process of designing and matching rocky desertification control measures.

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