Influence of Landscape Pattern Evolution on Soil Conservation in a Red Soil Hilly Watershed of Southern China

Xie, Xiangqun; Wang, Xinke; Wang, Zhenfeng; Lin, Hong; Xie, Huili; Shi, Z.B.; Hu, Xiaoting; Liu, Xingzhao

doi:10.3390/su15021612

Cited by 8 publications

(4 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The calculation of rainfall erosivity and soil erodibility were referred to [58] and [59], respectively. The calculation of the cover-management factor is based on the NDVI [60]. The support practice factors were referred to [61].…”

Section: Parameters Settingsmentioning

confidence: 99%

Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas

Zou,

Wang,

Que

et al. 2024

Sustainability

View full text Add to dashboard Cite

With the acceleration of urbanization, the ecosystem around cities is facing severe challenges. The drastic changes in the landscape pattern, especially in urban–suburban areas, are usually regarded as one of the main drivers. However, the spatiotemporal heterogeneous impacts of landscape patterns on the ecosystem services in this region remain unclear. To address this issue, we propose a novel framework integrating the InVEST-based ecosystem service assessment and spatiotemporal weighted regression (STWR)-based analysis of the spatiotemporal heterogeneity in urban–suburban areas, and apply it to the empirical study of Fuzhou City from 2000 to 2020. It first utilized the InVEST model to build a comprehensive ecosystem service index (CES) from five aspects (i.e., habitat quality, carbon storage, water yield, soil retention, and water purification capacity). Then, four landscape pattern indices (LPIs) (i.e., patch density (PD), area-weighted mean fractal dimension (FRAC_AM), splitting (SPLIT), and Shannon’s diversity (SHDI) index) were selected to build the STWR model. We compared and analyzed the differences in the spatial coefficient surfaces and significance tests generated by the STWR model in urban, urban–suburban, and rural areas. Results show that the following: (1) The CES in Fuzhou shows an upward trend from the urban area to the urban–suburban and rural areas, with significant gradient differences. (2) Compared with other areas, the LPIs in urban–suburban areas show more fragmentation, discreteness, and diversity, indicating more socioeconomic activities. (3) Although LPIs’ impacts on CES change over time (increasing from 2005 to 2010 and 2020 but decreasing in 2015), their effects are relatively low in urban–suburban areas, significantly lower than in urban areas. (4) Interestingly, the LPI coefficients near the urban–suburban boundary seem more significant. (5) This framework can effectively reveal the spatiotemporal heterogeneous relationships between various LPIs and CES, thus guiding concrete policies and measures that support decision-making for improving the ecosystem services surrounding cities through shaping landscape patterns.

show abstract

Section: Parameters Settingsmentioning

confidence: 99%

Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas

Zou,

Wang,

Que

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…In this study, landscape indicators such as NP, IJI, and COHESIVE were used to represent landscape fragmentation, complexity, and physical connectivity, respectively [59,60]. Landscape fragmentation in some areas of SHB reflects intense human intervention, which usually has a negative effect on ESBI (Table 2).…”

Section: Spatial Association Of the Es Balance With Landscape And Soc...mentioning

confidence: 99%

Spatiotemporal Variations and Determinants of Supply–Demand Balance of Ecosystem Service in Saihanba Region, China

Liu

et al. 2023

Forests

View full text Add to dashboard Cite

Maintaining a supply–demand balance of ecosystem services (ES) is essential for enhancing the effectiveness of ecosystem restoration. However, inappropriate land use and reforestation practices can negatively impact this balance. In this study, the ES balance of the Saihanba region in China was quantified by integrating land use/cover change (LUCC) data, landscape metrics, and ES indicators. The relationship between ES balance and its driving factors was analyzed using spatial panel models. The spatiotemporal changes of landscape patterns from 2002 to 2020 were also explored. The results indicated that the overall ES supply capacity of the study region, especially in the southwestern area, increased during the research period. The ES balance and its determining factors exhibited significant spatial heterogeneity and spillover effects. Large–scale afforestation increased the local ES supply and provided economic benefits, but it also led to ecological issues, including declines in wetland area and landscape fragmentation. Our study emphasized the importance of considering the supply–demand balance in the planning and decision–making of ES, providing insight into multifunctional management and the sustainable development in the Saihanba area.

show abstract

“…Precipitation is the main controlling factor of water erosion; about 60% of rainfall runoff and 90% of soil erosion occur during periods of concentrated rainfall [34], while large areas of soil erosion worldwide are caused by heavy or extreme rainfall events [35]. In the Yellow River source area, due to limited rainfall and vegetation carrying capacity [36], meadow degradation can increase the patchiness of vegetation distribution by reducing vegetation coverage and type [37,38], which stimulates more intense soil erosion. Erosion has been shown not to occur in healthy meadow areas [39], and soil erosion capacity is significantly increased in degraded areas disturbed by rodents [40].…”

Section: Introductionmentioning

confidence: 99%

Soil Water Erosion and Its Hydrodynamic Characteristics in Degraded Bald Patches of Alpine Meadows in the Yellow River Source Area, Western China

Tong

et al. 2023

Sustainability

View full text Add to dashboard Cite

Degraded bald patches have been active influencing factors in recent years, leading to meadow degradation and soil erosion in the Yellow River source area. In this study, we aimed to quantify the soil water erosion patterns and the hydrodynamic characteristics of degraded bald patches under different vegetation coverage (10%, 30%, 50%, 70% and 90%) and slope (10°, 20° and 30°) combination treatments through simulated rainfall experiments, and to investigate the influence of rodent activities on meadow degradation and soil erosion using zokor mound bare ground as a control. The results show that rodent activity exacerbates erosion problems and that soil erosion rates are negatively correlated with the degree of meadow degradation as an exponential function (p < 0.01). All slope flows are laminar; Reynolds and Froude numbers decrease as a function of vegetation coverage exponentially and linearly (p < 0.01), respectively, and are positively correlated with slope. Flow resistance increases with increasing vegetation coverage and decreasing slope, and vegetation coverage and slope are significant factors affecting flow resistance (p < 0.05). Runoff shear stress was found to range from 1.71 to 5.27 N m−2 in the study area and is positively correlated with vegetation coverage and slope, with a much greater influence of slope than vegetation coverage (p < 0.05). Based on the Pearson correlation and grey correlation method analysis, we concluded that runoff rate, flow velocity, Reynolds number and the Froude number can all describe the hydraulic erosion state under the action of soil erosion on slopes. The Reynolds number was tentatively judged to be the best hydrodynamic parameter to describe the soil erosion process. We conclude that developing degraded bald patches reduces flow resistance and increases surface runoff capacity and soil erodibility by reducing vegetation coverage. The reasonable control of rodent activity can effectively combat erosion on degraded bald patches.

show abstract

Influence of Landscape Pattern Evolution on Soil Conservation in a Red Soil Hilly Watershed of Southern China

Cited by 8 publications

References 54 publications

Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas

Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas

Spatiotemporal Variations and Determinants of Supply–Demand Balance of Ecosystem Service in Saihanba Region, China

Soil Water Erosion and Its Hydrodynamic Characteristics in Degraded Bald Patches of Alpine Meadows in the Yellow River Source Area, Western China

Contact Info

Product

Resources

About