From expansion to shrinkage‐ exploring the evolution and transition of karst rocky desertification in karst mountainous areas of Southwest China

2022 ◽  
Author(s):  
Yangbing Li ◽  
Meng Yu ◽  
Han Zhang ◽  
Yuxuan Xie
Keyword(s):  
Southwest China ◽  
Mountainous Areas ◽  
Karst Rocky Desertification ◽  
Rocky Desertification

scholarly journals Effect of karst rocky desertification on soil fungal communities in Southwest China

2016 ◽  
Vol 15 (3) ◽  
Author(s):  
P.C. Wang ◽  
B.T. Mo ◽  
Y. Chen ◽  
Q.F. Zeng ◽  
L.B. Wang
Keyword(s):  
Southwest China ◽  
Fungal Communities ◽  
Karst Rocky Desertification ◽  
Rocky Desertification

scholarly journals The challenge and future of rocky desertification control in karst areas in southwest China

Solid Earth ◽  
2016 ◽  
Vol 7 (1) ◽  
pp. 83-91 ◽  
Author(s):  
J. Y. Zhang ◽  
M. H. Dai ◽  
L. C. Wang ◽  
C. F. Zeng ◽  
W. C. Su
Keyword(s):  
Southwest China ◽  
Scientific Research ◽  
Lessons Learned ◽  
Dynamic Monitoring ◽  
Chinese Government ◽  
Second Phase ◽  
Karst Rocky Desertification ◽  
Ecological Compensation ◽  
Rocky Desertification ◽  
Desertification Control

Abstract. Karst rocky desertification occurs after vegetation deteriorates as a result of intensive land use, which leads to severe water loss and soil erosion and exposes basement rocks, creating a rocky landscape. Karst rocky desertification is found in humid areas in southwest China, the region most seriously affected by rocky desertification in the world. In order to promote ecological restoration and help peasants out of poverty, the Chinese government carried out the first phase of a rocky desertification control project from 2006 to 2015, which initially contained the expansion of rocky desertification. Currently, the Chinese government is prepared to implement the second phase of the rocky desertification control project, and therefore it is essential to summarise the lessons learned over the last 10 years of the first phase. In this paper, we analyse the driving social and economic factors behind rocky desertification, summarise the scientific research on rocky desertification in the region, and finally identify the main problems facing rocky desertification control. In addition, we put forward several policy suggestions that take into account the perspective of local peasants, scientific research, and China's economic development and urbanisation process. These suggestions include promoting the non-agriculturalization of household livelihoods, improving ecological compensation, strengthening the evaluation of rocky desertification control and dynamic monitoring, and strengthening research on key ecological function recovery technologies and supporting technologies.

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

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.

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