scholarly journals Spatiotemporal Evolution Analysis and Future Scenario Prediction of Rocky Desertification in a Subtropical Karst Region

2022 ◽  
Vol 14 (2) ◽  
pp. 292
Author(s):  
Chunhua Qian ◽  
Hequn Qiang ◽  
Changyou Qin ◽  
Zi Wang ◽  
Mingyang Li
Keyword(s):  
Sustainable Development ◽  
Markov Model ◽  
Landscape Change ◽  
Ecological Environment ◽  
Karst Region ◽  
Dynamic Feature ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Karst Landform ◽  
And Function

Landscape change is a dynamic feature of landscape structure and function over time which is usually affected by natural and human factors. The evolution of rocky desertification is a typical landscape change that directly affects ecological environment governance and sustainable development. Guizhou is one of the most typical subtropical karst landform areas in the world. Its special karst rocky desertification phenomenon is an important factor affecting the ecological environment and limiting sustainable development. In this paper, remote sensing imagery and machine learning methods are utilized to model and analyze the spatiotemporal variation of rocky desertification in Guizhou. Based on an improved CA-Markov model, rocky desertification scenarios in the next 30 years are predicted, providing data support for exploration of the evolution rule of rocky desertification in subtropical karst areas and for effective management. The specific results are as follows: (1) Based on the dynamic degree, transfer matrix, evolution intensity, and speed, the temporal and spatial evolution of rocky desertification in Guizhou from 2001 to 2020 was analyzed. It was found that the proportion of no rocky desertification (NRD) areas increased from 48.86% to 63.53% over this period. Potential rocky desertification (PRD), light rocky desertification (LRD), middle rocky desertification (MRD), and severe rocky desertification (SRD) continued to improve, with the improvement showing an accelerating trend after 2010. (2) An improved CA-Markov model was used to predict the future rocky desertification scenario; compared to the traditional CA-Markov model, the Lee–Sallee index increased from 0.681 to 0.723, and figure of merit (FOM) increased from 0.459 to 0.530. The conclusions of this paper are as follows: (1) From 2001 to 2020, the evolution speed of PRD was the fastest, while that of SRD was the slowest. Rocky desertification control should not only focus on areas with serious rocky desertification, but also prevent transformation from NRD to PRD. (2) Rocky desertification will continue to improve over the next 30 years. Possible deterioration areas are concentrated in high-altitude areas, such as the south of Bijie and the east of Liupanshui.

scholarly journals The Analysis of the Water Resource Carrying Capacity in the Shale and Gas Exploration Area, Southwest China Karst Region ‒ A Case Study from Cenggong County

2017 ◽  
Vol 11 (1) ◽  
pp. 258-269 ◽  
Author(s):  
Xiaoqin Luo ◽  
Ganlu Wang ◽  
Yuliang Mou ◽  
Ruiying Liu ◽  
Hao Zhou ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Water Resources ◽  
Water Resource ◽  
Shale Gas ◽  
Carrying Capacity ◽  
Karst Area ◽  
Ecological Environment ◽  
Karst Region ◽  
Karst Water ◽  
Water Resource Carrying Capacity

Introduction: As an unconventional natural gas resource, shale gas is the current hot topic in the oil and gas industry. China is rich in shale gas resource, most of which lies in the Southwest Karst Area with its fragile ecological environment. Discussion: The following questions must be studied before exploration thereof: on one hand, shale gas mining requires a lot of water, on the other hand, if the karst region water resources can support shale gas mining over a large area, and if the consequent water/environmental pollution problems will bring more severe challenges to the sustainable development of society and the economy in the southwest karst area, there is a potential conflict requiring a research-based resolution. The water resource carrying capacity is an important measure of the potential sustainable development of a karst region, with its unique geological structure and fragile natural landscape. Therefore, the study of karst water resource carrying capacity is of great significance. Conclusion: This essay is based on Cenggong County, one of the five key shale gas exploration areas in Guizhou at the end of 2012. By calculating the water resource carrying capacity in the studied area with the help of the ecological footprint method, it is concluded that the existing water resources in the studied area can support shale gas exploration. However, shale gas mining will cause a change in the industrial structure within the region. In addition, it has significant effects on the bearing capacity of water resources in the ecological environment.

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 Effects of Plum Plantation Ages on Soil Organic Carbon Mineralization in The Karst Rocky Desertification Ecosystem of Southwest China

2019 ◽  
Author(s):  
Hui Yang ◽  
Biqin Mo ◽  
Mengxia Zhou ◽  
Tongbin Zhu ◽  
Jianhua Cao
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Mineralization ◽  
Terrestrial Ecosystem ◽  
Karst Region ◽  
Order Kinetic ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Significant Difference ◽  
Soc Mineralization

Soil organic carbon (SOC) mineralization is closely related to carbon source or sink of terrestrial ecosystem. Understanding soil organic carbon (SOC) mineralization under plum plantation is essential for improving our understanding of SOC responses to land-use change in karst rocky desertification ecosystem. In this study, 2-y, 5-y and 20-y plum plantations and adjacent woodland were sampled and a 90-day incubation experiment was conducted to investigate the effect of plum plantation with different years on SOC mineralization in subtropical China. Results showed that: (1) there was no significant difference in SOC content between different planting years, but there were significant differences in accumulative SOC mineralization (Ct) and potential SOC mineralization (C0); (2) the dynamics of the SOC mineralization was a good fit to a first-order kinetic model. Both C0 and Ct in calcareous soil of this study was several to ten folds lower than that in other soils, indicating that SOC in karst region has higher stability. (3) Correlation analysis revealed that both Ct and C0 was significantly correlated with soil calcium (Ca) and C/N, indicating the important role of Ca and C/N in SOC mineralization in karst rocky desertification area.

scholarly journals Extracting Information on Rocky Desertification from Satellite Images: A Comparative Study

2021 ◽  
Vol 13 (13) ◽  
pp. 2497
Author(s):  
Junwei Pu ◽  
Xiaoqing Zhao ◽  
Pinliang Dong ◽  
Qian Wang ◽  
Qifa Yue
Keyword(s):  
Sustainable Development ◽  
Local Governments ◽  
Satellite Image ◽  
Machine Learning Algorithms ◽  
Karst Region ◽  
Landsat 8 ◽  
Remotely Sensed Data ◽  
Rocky Desertification ◽  
The World ◽  
Shortwave Infrared

Rocky desertification occurs in many karst terrains of the world and poses major challenges for regional sustainable development. Remotely sensed data can provide important information on rocky desertification. In this study, three common open-access satellite image datasets (Sentinel-2B, Landsat-8, and Gaofen-6) were used for extracting information on rocky desertification in a typical karst region (Guangnan County, Yunnan) of southwest China, using three machine-learning algorithms implemented in the Python programming language: random forest (RF), bagged decision tree (BDT), and extremely randomized trees (ERT). Comparative analyses of the three data sources and three algorithms show that: (1) The Sentinel-2B image has the best capability for extracting rocky desertification information, with an overall accuracy (OA) of 85.21% using the ERT method. This can be attributed to the higher spatial resolution of the Sentinel-2B image than that of Landsat-8 and Gaofen-6 images and Gaofen-6’s lack of the shortwave infrared (SWIR) bands suitable for mapping carbonate rocks. (2) The ERT method has the best classification results of rocky desertification. Compared with the RF and BDT methods, the ERT method has stronger randomness in modeling and can effectively identify important feature factors for extracting information on rocky desertification. (3) The combination of the Sentinel-2B images and the ERT method provides an effective, efficient, and free approach to information extraction for mapping rocky desertification. The study can provide a useful reference for effective mapping of rocky desertification in similar karst environments of the world, in terms of both satellite image sources and classification algorithms. It also provides important information on the total area and spatial distribution of different levels of rocky desertification in the study area to support decision making by local governments for sustainable development.

scholarly journals Comparing Remote Sensing Methods for Monitoring Karst Rocky Desertification at Sub-pixel Scales in a Highly Heterogeneous Karst Region

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Xiangkun Qi ◽  
Chunhua Zhang ◽  
Kelin Wang
Keyword(s):  
Satellite Imagery ◽  
Landscape Heterogeneity ◽  
Spectral Mixture Analysis ◽  
Karst Region ◽  
Topographic Effects ◽  
Mixture Analysis ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Fractional Cover ◽  
Spectral Mixture

Abstract Rugged karst terrain relief that creates shadows in satellite imagery, combined with high karst landscape heterogeneity stand in the way of fractional cover retrieval on karst rocky desertification (KRD) monitoring. In this study, we explored the feasibility of applying multispectral high spatial resolution Advanced Land Observing Satellite (ALOS) imagery for the fractional cover extraction of rocky outcrops. Dimidiate pixel model (DPM) and spectral mixture analysis (SMA) approaches (including simple endmember spectral mixture analysis and multiple endmember spectral mixture analysis) were selected to explore their feasibility for KRD monitoring through accuracy improvement for fraction estimation. Results showed fractional cover retrievals at the sub-pixel scale is essential in highly heterogeneous karst landscapes. Indeed, mixed pixels accounted for 93.7% of the study area in southwest China. Multiple endmember spectral mixture analysis achieved high overall accuracy (80.5%) in monitoring the percentage of rocky outcrop land cover. Furthermore, the predicted exposed bedrock coverage via spectral mixture analysis were similar in sunlit and shadow areas for the same surface types. This reflected that SMA methods could effectively reduce topographic effects of satellite imagery to improve the accuracy of fractional cover extraction at sub-pixel level in heterogeneous and rugged landscapes.

The Relationship between Soil Characteristics and Community Structure in Different Vegetation Restoration in Guangxi Karst Region

2013 ◽  
Vol 726-731 ◽  
pp. 4172-4176
Author(s):  
Sheng Li ◽  
Hua Dong Ren ◽  
Liang Xue ◽  
Xiao Hua Yao
Keyword(s):  
Species Diversity ◽  
Total Nitrogen ◽  
Karst Region ◽  
Available Phosphorus ◽  
Herb Layer ◽  
Closing Time ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Shrub Layer ◽  
Tree Layer

The space instead of time method was used to determine the species diversity and soil property in different succession stages in Karst rocky desertification area, in China. The species diversity of herb layer was digressive and that of tree layer, shrub layer and the whole community were increased first and then decreased, the peak value appeared in the rattan thorn scrub stage, the lowest appeared in the grass stages. At the beginning of succession, the species diversity of herb layer was higher than that of shrub layer. With the closing time increased, the diversity of the shrub layer increased more than that of herb layer. There had the same change trend in velocity nitrogen, organic matter, total nitrogen and total phosphorus. There was significantly linear positive correlation between the total nitrogen, phosphorus, magnesium, calcium, pH, available phosphorus and the species diversity and richness of the herb layer.

The application of geospatial techniques in monitoring karst vegetation recovery in southwest China

2017 ◽  
Vol 41 (4) ◽  
pp. 450-477 ◽  
Author(s):  
Chunhua Zhang ◽  
Xiangkun Qi ◽  
Kelin Wang ◽  
Mingyang Zhang ◽  
Yueming Yue
Keyword(s):  
Vegetation Dynamics ◽  
Landscape Heterogeneity ◽  
Global Climate ◽  
Recovery Process ◽  
Vegetation Recovery ◽  
Karst Region ◽  
Chinese Government ◽  
Karst Rocky Desertification ◽  
Rocky Desertification ◽  
Geospatial Techniques

The karst region in southwestern China, one of the largest continuous karst areas in the world, is special for its high landscape heterogeneity, unique hydrology, high endemism among vegetation species and high intensity of human disturbance. The region had experienced severe degradation through karst rocky desertification (KRD) between the 1950s and 1990s. Starting in the late 1990s, various levels of the Chinese government conducted several ecological projects to recover degraded karst ecosystems. It was reported that the implementation of these projects had been successful in facilitating the recovery of karst vegetation in many areas. However, global climate changes may compromise the efficacy of recovery. Geospatial techniques had been employed to map and monitor karst ecosystem conditions during the recovery process. We examined the history and progress of the various geospatial techniques applied to monitor and evaluate karst vegetation conditions. In addition, we reviewed the techniques used to assess and monitor KRD, KRD influencing factors, vegetation community type, fractional vegetation cover, vegetation dynamics, vegetation productivity, ecosystem goods and services, vegetation biodiversity, ecosystem health and rural society changes. We also explored the potential to apply geospatial techniques for karst vegetation recovery in the future. It is projected that there will be more remotely sensed images for the vegetation dynamics monitoring at numerous scales. New techniques (e.g. image fusion and data assimilation) will be available to manage scale and heterogeneity issues in the karst landscape.

scholarly journals Relationship between the Geotourism Potential and Function in the Polish Part of the Roztocze Transboundary Biosphere Reserve

Geosciences ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 120
Author(s):  
Teresa Brzezińska-Wójcik
Keyword(s):  
Sustainable Development ◽  
Biosphere Reserve ◽  
The Other ◽  
Partial Indices ◽  
Function Index ◽  
Intensive Exploitation ◽  
Potential Indicator ◽  
Current Product ◽  
And Function ◽  
Further Development

The Polish part of the Roztocze Transboundary Biosphere Reserve area is characterized by diversified geotourism resources with relatively high value. However, their potential seems not to be fully used in the current product offer. The aim of the study was therefore to assess the spatial variability of the geotourism potential and function and to determine their interrelations in view of further development of geotourism in the Roztocze TBR and the perspective of creation of the “Kamienny Las na Roztoczu” geopark. The study was carried out with the use of the taxonomic method of multidimensional comparative analysis consisting of calculation and analysis of general, total, and partial indices of the geotourism potential and function in 22 communes. The results showed the highest total indicator of geotourism potential in two communes, i.e. Józefów and Krasnobród, and the highest value of the total geotourism function index in Krasnobród. The results of the analysis of the relationships between the geotourism potential and function indicate that the geotourism resources and products are fully used in terms of the development of the function only in Krasnobród commune. In turn, the value of the total geotourism function index in the Zwierzyniec commune exceeds the geotourism potential indicator, which implies that this area is overloaded by tourist movement. The total indicators of geotourism potential in the other communes, especially Józefów, Krasnobród, Lubycza Królewska, and Susiec, indicate the possibility of more intensive exploitation of geotourism resources in preparation of interesting products in compliance with the principles of sustainable development and, consequently, the development of the geotourism function.

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