The Dynamic Change of Vegetation Cover and Associated Driving Forces in Nanxiong Basin, China

Yan, Lei; He, Ruixiang; Kašanin‐Grubin, Milica; Luo, Geping; Hua, Peng; Qiu, Jianxiu

doi:10.3390/su9030443

Cited by 33 publications

(29 citation statements)

References 47 publications

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“…The experimental site is located in Nanxiong Basin, which is a typical red-bed basin with a severe soil erosion problem due to its dominant purple soil texture (Calcaric Regosols in FAO taxonomy), fragile ecological environment, severe soil erosion, and the fact that red clay-rich sediments of the parent rock are mainly distributed in the central part of the basin. It has an elevation of 48-1421 m above sea level [44] with a moist, subtropical monsoon climate, and four distinct seasons, including a long summer and short winter, and a fast autumn transition. Average temperature is 19.6ºC, maximum temperature is 39.6ºC, and the extreme minimum temperature is -6.2ºC.…”

Section: Experimental Sitementioning

confidence: 99%

Spatial Variability of Soil Physical Properties Based on GIS and Geo-Statistical Methods in the Red Beds of the Nanxiong Basin, China

Yan¹,

Hua²,

Yan³

et al. 2019

Pol. J. Environ. Stud.

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Spatial variability of soil has an important influence on the structure and function of soil. The spatial distribution of soil physical properties provides basic and useful information relevant to soil management and ecological protection. A typical red beds basin was selected for this study, soil samples at 0-20 cm were taken from 150 locations in the northeast part of Nanxiong Basin, in which GIS and geostatistics were used to analyze the spatial variability of the soil physical properties. The results show that the coefficients of variation of soil bulk density, total porosity and capillary porosity are 9.82%, 4.47%, and 3.72%, respectively, which indicate weak variation. Pearson correlation indicated that soil bulk density was significantly positively correlated with soil moisture and capillary water capacity (p<0.01), with correlation coefficients of 0.85 and 0.91, respectively, but was significantly negatively correlated with total porosity, capillary porosity and non-capillary porosity, with correlation coefficients of 0.82, 0.71 and 0.94, respectively (p<0.01). The spatial distributions of soil physical properties using ordinary kriging (OK) and empirical bayesian kriging (EBK) methods were subjected to comparative analysis. In addition, different cross-validation indicators were applied to assess the performance of different interpolation methods. Cross-validation demonstrated that EBK performed better than OK. And EBK produced smaller regions of predicted soil physical properties than OK, highlighting the necessity of choosing the appropriate methods in studying the spatial distribution of soil properties.

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Section: Experimental Sitementioning

confidence: 99%

Spatial Variability of Soil Physical Properties Based on GIS and Geo-Statistical Methods in the Red Beds of the Nanxiong Basin, China

Yan¹,

Hua²,

Yan³

et al. 2019

Pol. J. Environ. Stud.

Self Cite

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“…Moreover, because of the interdisciplinary perspective that is created by having several sub-disciplinary fields within physical geography, including geomorphologists, climatologists, soil scientists, biogeographers, and hydrologists, it is possible to include a breadth of research studies and expertise that stretches beyond most environmental disciplines. The papers in this Special Issue, for instance, have entailed soil science (e.g., [4,6]) as well as landscape change (e.g., [3,9]) and impacts due to climate change, including flooding (e.g., [10,11]). A variety of methodological approaches are incorporated here, with spatial technology (remote sensing, GIS, etc.)…”

Section: Discussionmentioning

confidence: 99%

“…A variety of methodological approaches are incorporated here, with spatial technology (remote sensing, GIS, etc.) included in several studies (e.g., [1][2][3][4]), serving to portray the role of technology on data compilation and analysis in geographical research. Data visualization is evident in paper [11] for modelling and, earlier in the Special Issue, [1] explores data-sharing based on data acquired from Earth observation.…”

Section: Discussionmentioning

confidence: 99%

Physical Geography and Environmental Sustainability

Thornbush

2017

Sustainability

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Abstract:In this introduction to the Special Issue on Physical Geography and Environmental Sustainability, the links between a variety of physical landscapes located throughout the world and long-term wellbeing are considered from a systems approach. Twelve papers were published as part of this call, with half from Asia, especially China. They represent a contribution across topographic landscapes, from mountainous to estuarine, and cover models as well as case studies encompassing landscape and environmental changes. Remotely sensed data, statistical analysis, and GIS were often incorporated in the work, and this particularly conveys the importance of spatial analysis on inputs by physical geographers in sustainability research. Furthermore, scale variations from the local to global are presented as part of a geographical contribution. The connectedness of environments to humans and the reverse (of humans adapting to environmental change) is evident in several of the papers where human impacts and adaptation are concerned. Finally, the last paper provides a comprehensive summary of the potential contribution that physical geographers can make to environmental sustainability from a multidisciplinary approach.

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“…Many studies 67 have shown that the purple soil formed on redbed parent material is the most seriously eroded of all soil 68 types in the Yangtze River Basin. This is especially visible in humid regions, where severe erosion can 69 threaten the eco-security (Yan et al, 2017). The change in soil structure and the removal of topsoil 70 resulting from the erosion may cause nutrient removal and environmental degradation, thereby inhibiting 71 plant growth (Sheoran, Sheoran, & Poonia, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…A subtropical monsoon climate prevails, with long hot summers and 85 short winters. The average temperature is 19.6 ℃ and the annual precipitation and evaporation are 1555.1 86 mm and 1678.7 mm, respectively (Yan et al, 2017). The total area of Nanxiong Basin is 3692 km 2 .…”

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Supplemental Information 1: pH Value

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Soil pH is the main factor affecting soil nutrient availability and chemical substances in soil. It is of great significance to study the spatial variability of soil pH for soil nutrient management and soil pollution prediction. In order to explore the causes of spatial variability of soil pH in redbed areas, the Nanxiong Basin in south China was selected as an example, and soil pH was measured in the topsoil by nested sampling (0-20 cm depth).The spatial variability characteristics of the soil pH were analysed by geostatistics and classical statistical methods, and the main factors influencing the spatial variability of soil pH are discussed. The results showed that the coefficient of variation in the redbed areas of Nanxiong Basin was 17.18%, indicating moderate variability. The geostatistics analysis showed that the spherical model is the optimal theoretical model for explaining the soil pH's variability, which is influenced by both structural and random factors. The spatial distribution and pattern analysis showed that soil pH content in the northeast and southwest is relatively high, and is lower in the northwest. These results indicate that topographic factors and land use patterns are the main factors.PeerJ Preprints | https://doi.org/10.7287/peerj.preprints.27156v1 | CC BY 4.0 Open Access | rec

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The Dynamic Change of Vegetation Cover and Associated Driving Forces in Nanxiong Basin, China

Cited by 33 publications

References 47 publications

Spatial Variability of Soil Physical Properties Based on GIS and Geo-Statistical Methods in the Red Beds of the Nanxiong Basin, China

Spatial Variability of Soil Physical Properties Based on GIS and Geo-Statistical Methods in the Red Beds of the Nanxiong Basin, China

Physical Geography and Environmental Sustainability

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