The correlations among arable land, settlement and karst rocky desertification-cases study based on typical peak-cluster depression

2014 ◽  
Vol 34 (9) ◽  
Author(s):  
李阳兵 LI Yangbing ◽  
罗光杰 LUO Guangjie ◽  
白晓永 BAI Xiaoyong ◽  
王永艳 WANG Yongyan ◽  
王世杰 WANG Shijie ◽  
...  
Keyword(s):  
Arable Land ◽  
Land Settlement ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Peak Cluster ◽  
Cases Study

scholarly journals Discussing the Genesis of Karst Rocky Desertification-research Based on the Correlations between Crop land and Settlement in Typical Peak-cluster Depressions

2016 ◽  
Author(s):  
Yang Bing Li ◽  
Qiong Yao Li ◽  
Guang Jie Luo ◽  
Xiao Yong Bai ◽  
Yong Yan Wang ◽  
...  
Keyword(s):  
Population Pressure ◽  
Guizhou Province ◽  
Residential Areas ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Peak Cluster ◽  
Natural Mechanism ◽  
The Relationship ◽  
Local Farmers

Abstract. This paper attempts to explain the theoretical reasons why the local farmers took irrational activities such as steep slope land cultivations in order to reveal the mechanism of Karst Rocky Desertification (KRD) through those typical case studies. Firstly, this paper assumes that the low land capacity is the genesis cause of KRD in peak cluster-depression areas. Furthermore, the ecological quality of the peak cluster-depression zone is influenced by the relationship between the area of depressions and the population of residential areas. The results show that, six typical peak cluster-depression areas in Guizhou Province were selected to compare the distribution circumstances of croplands, the characteristics of settlements and the formation of KRD. Also, the results show that there is a negative correlation between the percentage of the cultivated land and the percentage of KRD (including light KRD, moderate KRD and severe KRD at peak cluster-depressions. The relationship could be concluded as three situations of the process of KRD, which are low, middle and upper carrying capacity of land. The severe KRD is only distributed in peak-cluster depression areas with less flatland, low land capacity and high population. The harmonization between population pressure and bearing capacity of land will influence the ecological qualities in the peak cluster depressions. Therefore, the hypothesis suggested by this paper is correct, and this result will contribute to understanding the natural mechanism of KRD and guide the ecological restoration of KRD land.

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.

scholarly journals Discussing the genesis of karst rocky desertification research based on the correlations between cropland and settlements in typical peak-cluster depressions

Solid Earth ◽  
2016 ◽  
Vol 7 (3) ◽  
pp. 741-750 ◽  
Author(s):  
Yang Bing Li ◽  
Qiong Yao Li ◽  
Guang Jie Luo ◽  
Xiao Yong Bai ◽  
Yong Yan Wang ◽  
...  
Keyword(s):  
Population Pressure ◽  
Guizhou Province ◽  
Residential Areas ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Peak Cluster ◽  
Land Cultivation ◽  
The Relationship ◽  
Local Farmers

Abstract. This paper attempts to explain the theoretical reasons why local farmers have executed land mismanagement measures such as steep slope land cultivation, in order to reveal the  mechanisms of karst rocky desertification (KRD, including light KRD, moderate KRD and severe KRD) through typical case studies. Firstly, this paper assumes that the low land capacity is the initial cause of KRD in peak-cluster depression areas. Furthermore, the ecological quality of the peak-cluster depression zone (a combination of clustered karst cones with a common base and depressions between cones) is influenced by the relationship between the area of depressions and the population of residential areas. Therefore, six typical peak-cluster depression areas of Guizhou province were selected to compare the distribution circumstances of cropland, the characteristics of settlements and the formation of KRD with the help of ALOS images in 2010 (with a resolution of 10 m × 10 m). The results show that there is a negative correlation between the percentage of the cultivated land and the percentage of KRD at peak-cluster depressions. The relationship could be concluded by three situations of the process of KRD, which are low, middle and upper carrying capacities of land. Severe KRD is only distributed in peak-cluster depression areas with less flatland, low land capacity and a high population. The harmonization between population pressure and bearing capacity of land will influence the ecological qualities in the peak-cluster depressions. The KRD phenomenon which occurred in six typical peak-cluster depression areas confirms that the hypothesis suggested by this paper is correct, and this result will contribute to understanding the natural mechanisms of KRD and guide the ecological restoration of KRD land.

The evolution of karst rocky desertification for nearly 50 years in karst mountain, Southwest China based on five cases study

2019 ◽  
Vol 39 (22) ◽  
Author(s):  
李阳兵 LI Yangbing ◽  
李珊珊 LI Shanshan ◽  
徐倩 XU Qian ◽  
罗光杰 LUO Guangjie
Keyword(s):  
Southwest China ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Cases Study

Recovery Dynamics of Vegetation and Soil Properties in Karst Rocky Desertification Areas in Guizhou, China

2012 ◽  
Vol 518-523 ◽  
pp. 4532-4544 ◽  
Author(s):  
Hong Yan Liu ◽  
Fang Liu
Keyword(s):  
Soil Fertility ◽  
Soil Properties ◽  
Vegetation Structure ◽  
Vegetation Recovery ◽  
Native Forest ◽  
Forming Process ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Available Nitrogen ◽  
Dynamics Of Vegetation

Abstract. Dynamics of vegetation and soil properties responses to vegetation recovery in the selected 72 Karst desertification sites in Guizhou, China were studied. Six typical and representative vegetation types along a chronosequence of vegetation recovery (corn land, sparse grass, regeneration forest, shrub, grass and shrub, and native forest with 0, 3-5, 10-15, 20-30, 30-40, and >100 yrs, respectively) were selected for the study of the plant species, vegetation features as well as soil physical & chemical properties in order to assess interaction between soil properties and vegetation structure. It was found that vegetation species had dry-resistant characteristics because of their extensive exposure to the basement rocks and thinness soil. Grass community was always coarse grass, shrub was generally dominated by vines, thorn bushes and tree species were almost leather-like, single and mini-type leaf plants. Factor analysis showed that the 3 factors, soil fertility, pH and clay, explain 67.97 % of total variance among the 19 soil property parameters. Soil fertility changed significantly effects included the increasing of soil organic matter, total and available nitrogen, humic acid, CEC, fuvic acid, exchange Ca, porosity and total P but decreasing bulk density. This trend was followed by enhancing of bio-enrichment capacity along the chronosequence of vegetation recovering process. Soil pH had no significant correlation with the vegetation recovery stages because it was determined by soil forming process and characteristic of parent materials. The factor clay only decreased slightly in the recovery stages. Cluster analysis indicated that vegetation structure could develop within short time under anthropocentric interfering, but soil fertility only accumulated with annual litter decomposing. We can conclude that recovery of vegetation community structure proceeded restoration of soil function.

Sign in / Sign up

Export Citation Format

Share Document