Ecological Restoration Area Research Articles

Identification of key ecological restoration areas based on ecological security patterns and territorial spatial ecological restoration zoning: A case study of the middle and lower reaches of the Yellow River in China

Amidst the implementation of ecological civilisation development and the deepening national spatial planning, the identification and research of key ecological restoration areas are of great significance. This article takes the middle and lower reaches of the Yellow River in China as an example to construct an ecological security pattern based on ecosystem service evaluation and circuit theory. First-level ecological restoration zones are identified based on the dominant functions of ecosystem services, and secondary ecological restoration zones are identified based on the results of an ecological vulnerability assessment. The final comprehensive ecological security pattern, first-level ecological restoration zones and secondary ecological restoration zones are then used to identify key ecological restoration areas. A total of 15 ecological source areas, 22 ecological corridors, 93 ecological nodes and 26 ecological obstacle points are identified in the middle and lower reaches of the Yellow River in China. The study area mainly comprises soil and water conservation areas, which account for 39.89% of the entire area. The secondary ecological restoration zones are divided into ecological conservation areas, general restoration areas and key restoration areas, which account for 34.45%, 48.44% and 17.12% of the study area, respectively. A total of 31 key ecological restoration areas are identified, including 23 first-level and 8 secondary key areas. Targeted ecological restoration suggestions are then proposed based on the characteristics of these key areas to provide a reference for the ecological restoration of the national land space.

A spatial machine learning approach to exploring the impacts of coal mining and ecological restoration on regional ecosystem health

Ecosystem health is an important approach to measuring urban and regional sustainability. In previous studies, the spatiotemporal changes of ecosystem health have been addressed using comprehensive assessment index system. However, the quantitative contribution of human activities and climate change to ecosystem health was less examined. In this study, Shuozhou City, a coal resource-based city, was chosen to explore the response of ecosystem health to human activities using the Geographically Weighted Artificial Neural Network (GWANN) model. The results showed a distinct improvement of ecosystem health in Shuozhou City from 1990 to 2020. The contribution of human activities increased during the study period, while the contribution of climate change decreased as a consequence of coal mining expanding. By 2020, human activities contributed 76% to ecosystem health compared with 24% of climate change. The direct impact of coal mining on ecosystem health occurred mainly in the surrounding areas within a radius of 6 km and 17 km under low and high mining intensity respectively. Ecosystem health will further decline by 2030 based on the scenario in which current coal mining is continued. However, only stopping mining activities in small coal mining areas for ecological restoration but keeping large coal mining areas in production, will realize 92.6% of restoration effects on ecosystem health as compared to ceasing all mining activities. This study examines the effects of coal mining on ecosystem health in resource-based cities, and underscores the importance of large coal mining sites in ecological restoration.

Flood regulation ecosystem services analysis and security pattern optimization for resilient management adapted to the complex terrain of coastal estuaries: A case study in Xiamen

The flood risk in coastal areas has been exacerbated by global climate change. Research on flood risk assessment is emerging from the perspective of supply and demand for flood regulation ecosystem services (FRES). However, there are still limitations in the evaluation of lowland regulation, implementation of intelligent algorithms, comparison of multi-grain FRES supply and demand, and overall optimization of security pattern. Therefore, we propose a comprehensive FRES supply assessment method that incorporates soil and vegetation, lowland, and water regulations. Additionally, we introduce the random forest model to enhance the FRES demand assessment approach. Two grain sizes of the sub-catchment area and grid unit are used to compare FRES supply and demand. Using Xiamen as a case study, this research unveils the following findings: (1) Significant disparities exist between the assessment outcomes of FRES based on multiple types of regulatory services and those solely considering soil and vegetation regulation. The areas with high FRES supply extend beyond upper mountain forests to include local lower plains exhibiting strong capabilities for lowland or water system regulation. (2) Consistent yet distinct results are observed when comparing two grain sizes. Imbalances in supply and demand occur in estuaries, bays, and densely built-up regions. Sub-catchment units exhibit wider distribution and concentration, while grid units display more dispersed patterns. (3) In terms of in-situ regulation, 26.77 km2 ecological protection area, 9.85 km2 ecological restoration area, and 119.59 km2 construction land flood control intervention area are demarcated. From a directional regulation perspective, 22 FRES corridors connecting source and sink areas along with 24 pinch points are identified. Optimizing security patterns through coordinated management of FRES supply and demand can enhance the resilience of coastal estuaries.

Identification of key areas for Territorial Ecological Restoration: focusing on ecological security and restoration potential

Implementing Territorial Ecological Restoration is a crucial approach to achieving ecological stability and regional sustainable development, and it also serves as an important measure for promoting the coordinated development of socioeconomic and ecological environments in the Yellow River Basin. However, effective identification of key areas for Territorial Ecological Restoration remains challenging in planning ecological restoration projects. This study focuses on ecological security and restoration potential, taking Linxia Prefecture in the ecologically fragile area of the upper Yellow River as an example. By evaluating six types of ecosystem services in this area, utilizing morphological spatial pattern analysis models and circuit theory, we identified the structural elements of ecological security patterns and assessed the potential for ecological restoration, identifying key areas for regional ecological restoration.The findings indicated that (1) 13 ecological patches were identified in total, predominantly distributed in the southwest and central regions of Linxia Prefecture. 25 ecological corridors were identified, demonstrating a high level of spatial coherence in terms of significance and connectivity, establishing a closely integrated ecological security network primarily in the southwest of Linxia Prefecture. (2) Thirteen ecological pinch points and seventeen ecological barrier points have been identified, concentrated in the central and southwestern regions of Linxia Prefecture. (3) Based on the characteristics and urgency of key areas for Territorial Ecological Restoration, they are classified and graded as “point-line-surface” and “primary-very important-important.” The primary restoration areas of the point type are mainly located in the central part of Linxia Prefecture, while the primary restoration areas of the line and plane types are mainly in the southwestern part of Linxia Prefecture. This paper emphasizing a holistic approach that prioritizes ecosystem integrity and social support to guide targeted restoration strategies across various ecological features, ultimately aiming for sustainable regional development and maximizing restoration benefits in ecologically fragile areas.

An analytical framework based on social-ecological systems for identifying priority areas for ecological restoration in coastal regions

Owing to rapid urbanization, coastal regions worldwide are experiencing immense resource and environmental stress. Ecological restoration is vital for maintaining and sustainably developing coastal regions. This study proposed a method for delineating priority areas for ecological restoration based on the social-ecological systems (SES) theory. First, an analytical model was established based on three dimensions: ecosystem function, social system pressure, and SES evolution, for analyzing the social and natural systems of coastal regions. Second, based on the modes of land–sea interaction relevant to ecological restoration, auxiliary marine factors were incorporated to aid the delineation of priority areas for ecological restoration. A case study was conducted on the Dapeng New District of Shenzhen City to validate our method. The marine areas of the Dapeng New District have significantly poorer ecosystem function than its terrestrial areas because of the natural geography of this area and human activities. A total of 43.4% of marine areas require artificially assisted ecological restoration, and inland areas 1.5 km from the shoreline are significant for ecological conservation and restoration. Additionally, estuaries and artificial shorelines should be the focus of ecological restoration work in the study area. This case study proved the efficacy of our method. The findings will serve as a reference for the planning and implementation of ecological restoration plans in coastal regions.

Quantifying the Contributions of Vegetation Dynamics and Climate Factors to the Enhancement of Vegetation Productivity in Northern China (2001–2020)

Vegetation dynamics are critical to the terrestrial carbon and water cycle, with China recognized as one of the largest contributors to global greening due to significant variations in forest coverage. However, distinguishing the effects of vegetation changes from those of climate factors on vegetation productivity remains challenging. This study conducted a comprehensive analysis of vegetation productivity in Northwest China over the past two decades, focusing on the spatiotemporal patterns and drivers of gross primary production (GPP) within ecological restoration areas. Using trend analysis and ridge regression models, we assessed the relative contributions of climate factors and vegetation coverage changes to GPP dynamics. The results revealed a significant increase in both the GPP and vegetation coverage in Northern China from 2001 to 2020, with GPP rising by 6.7 g C m−2 yr−1 and forest coverage increasing by 0.08% per year. A strong positive correlation (r = 0.9) was observed between vegetation coverage changes and GPP. The increase in GPP was driven by both climate factors and changes in forest coverage, with climate factors contributing 61.0% and vegetation coverage changes contributing 39.0%. Among the climate factors, radiation, temperature, and precipitation contributed 15.4%, 6.4%, and 39.2%, respectively. The study highlights the critical role of ecological restoration efforts, particular in regions like the Less Plateau and Inner Mongolian Plateau, in enhancing vegetation productivity. These findings provide valuable insights for addressing desertification and inform strategies for ecological restoration and sustainable development in Northern China.

Analysis on Ecological Network Pattern Changes in the Pearl River Delta Forest Urban Agglomeration from 2000 to 2020

The advancement of urbanization has led to a decline in the ecological function and environmental quality of cities, seriously reducing the services and sustainable development capacity of urban ecosystems. The construction of the National Forest Urban Agglomeration of China is conducive to alleviating the ecological and environmental problems brought about by rapid urbanization and promoting sustainable urban development. A time series analysis of ecological network changes can quickly and effectively explore the development and changes of ecological spatial patterns over time. Identifying ecological protection and restoration areas in urban agglomerations is an important way to promote ecosystem restoration and optimize ecological networks. This paper takes the Pearl River Delta forest urban agglomeration as the research area, uses multi-source remote sensing data from 2000 to 2020 (every 5 years), identifies ecological sources based on the morphological spatial pattern analysis (MSPA) method, generates ecological corridors based on the minimum cumulative resistance (MCR) model, constructs a time series ecological network pattern in the Pearl River Delta region, and analyzes the evolution process of the ecological network pattern over time. The results indicate that over time, the core green area in the ecological network pattern of the Pearl River Delta first decreased and then increased, and the complexity of ecological corridors first decreased and then increased. The main reason is that the urbanization process in the early 21st century led to severe ecological fragmentation. Under the promotion of the national forest urban agglomeration construction, the ecological network pattern of the Pearl River Delta was restored in 2015 and 2020. The time series analysis of the ecological network pattern in the Pearl River Delta region of this research confirms the effectiveness of the construction of forest urban agglomerations, providing a scientific reference for the identification of ecological networks and optimization of spatial patterns in forest urban agglomerations.

Estimation of the Potential for Soil and Water Conservation Measures in a Typical Basin of the Loess Plateau, China

Abstract: In the context of the large-scale management of the Loess Plateau and efforts to reduce water and sediment in the Yellow River, this study focuses on a typical watershed within the Loess Plateau. The potential for vegetation restoration in the Kuye River Basin is estimated based on the assumption that vegetation cover should be relatively uniform under similar habitat conditions. The potential for terrace restoration is assessed through an analysis of topographic features and soil layer thickness, while the potential for silt dam construction is evaluated by considering various hydrological and geomorphological factors. Based on these assessments, the overall potential for soil erosion control in the watershed is synthesized, providing a comprehensive understanding of target areas for ecological restoration within the Kuye River Basin. The study demonstrates that the areas with the greatest potential for vegetation restoration in the Kuye River Basin are concentrated in the upper and middle reaches of the basin, which are in closer proximity to the river. The total potential for terracing is 1013.85 km2, which is primarily distributed across the river terraces, farmlands, and gentle slopes on both sides of the riverbanks. Additionally, the potential for the construction of check dams is 14,390 units. The target areas for terracing measures in the Kuye River Basin are primarily situated in the middle and lower reaches of the basin, which are in closer proximity to the river. Conversely, the target areas for forest, grass, and check dams, as well as other small watershed integrated management measures, are predominantly located in the hill and gully areas on the eastern and southern sides of the basin. The implementation of the gradual ecological construction of the watershed, based on the aforementioned objectives, will facilitate the protection, improvement, and rational utilization of soil, water, and other natural resources within the watershed.

Accurately uncovering the regional ecological restoration priorities: A multidimensional approach to eco-dynamic sustainable management

Accurate identification, projection and dynamic evaluation of ecological degradation priorities are important prerequisites for realizing ecological restoration and territorial protection. However, the complexity of ecological systems and environmental diversity often limit the effectiveness of single-model evaluation approaches. Utilizing Badong County as a case study, this paper integrated the InVEST-Circuit-PLUS model to comprehensively analyze the eco-dynamic sustainability and restoration needs. Through performing projection of land cover, construction of ecological source areas, calculation of ecological resistance characteristics and extraction of ecological elements, we were able to identify priority ecological restoration areas over a twenty-year period (2007–2027). The results revealed cyclical land cover transformations from forest to cropland and back to forest, with an overall trend of forest cover expansion. While the county's ecological quality showed a slight decline, the location and extent of high-value ecological source areas were mapped in detail. By integrating ecosystem service value assessments, driver factor analyses, and the development of a "One Belt, Two Axes, Three Sources and Four Zones" ecological management framework, we were able to uncover the nuanced spatial and temporal dynamics shaping the regional ecology. These findings provide an evidence-based foundation to guide targeted ecological restoration and sustainable land use planning, which has verified the feasibility of the framework.

Feature extraction and analysis of reclaimed vegetation in ecological restoration area of abandoned mines based on hyperspectral remote sensing images

Feature extraction and analysis of reclaimed vegetation in ecological restoration area of abandoned mines based on hyperspectral remote sensing images

基于 CFD 数值模拟的联合沙障间距优化与风沙流特征研究

Strong wind and sand activities will seriously damage the ecological restoration and agricultural safety production on the edge of desert areas, resulting in irreversible economic losses. In order to prevent and protect the agro-ecological environment in the wind-blown sand area, this paper constructs a combination of double-row vertical nylon net sand barrier and grass grid sand barrier. Through numerical simulation and wind tunnel experiment, the protection benefits of double-row vertical nylon net sand barrier and grass grid under different spacing conditions are analyzed, and the layout conditions with optimal spacing are obtained. The results show that when the spacing between double-row vertical sand barrier and grass grid is 5H-10H, the airflow velocity behind the double-row vertical sand barrier cannot be fully developed, the increase of airflow velocity is small, and the average wind prevention efficiency is above 85%. The effective protection distance com-pletely covers the entire combined sand barrier area, and a large number of sand particles near the surface are fixed to the grass grid, so the sand resistance rate is over 77%. The combined sand barrier has a good cooperative protection effect and achieves efficient wind prevention and sand fixation. The wind tunnel experiment verifies the reliability of the results. It also realizes efficient wind prevention and sand fixation under extreme wind and sand weather, and avoids sand burial on farmland and ecological restoration areas caused by extreme wind and sand weather.

Land Use Simulation and Ecological Network Construction around Poyang Lake Area in China under the Goal of Sustainable Development

The pivotal aspects of enhancing regional ecosystem services and augmenting socioeconomic growth lie in optimizing the land-space development and protection strategies, coupled with the establishment of a robust ecological network (EN). This article examines the Poyang Lake area and employs the MOP model, NSGA-II, and PLUS model to determine the best sustainable land use strategy. Subsequently, the MSPA, InVEST model, circuit theory, complex network, and others are employed to construct and analyze the land-space EN across three time periods. Ultimately, the EN is optimized based on spatial protection priority, ecological obstacle areas, and ecological nodes. The results show the following: (1) From 2005 to 2035, more construction land will be developed around the Greater Nanchang area and other urban centers. In the BAU scenario, construction land will expand faster, while cultivated land, forest, grassland, and bare land will continue to decline. In the SD scenario, the alteration to comparable land is minimal, the growth rate of construction land will slow, cultivated land, forest, grassland, and bare land will all decline little, and the water area will increase slightly; (2) While the area of ecological sources is decreased and ecological corridors become longer and narrower in the BAU scenario, the spatial distribution of ENs in different periods is small, and the quantitative structure and spatial distribution of ecological sources and corridors are essentially unchanged in the SD scenario; (3) Based on the topological structure of ENs, it is found that the clustering of nodes in the SD scenario is more obvious, the importance of ecological sources is enhanced, the efficiency of information transmission is improved, and the radiation range is wider and more stable; (4) The greatest priority ecological sources in each period are concentrated around Poyang Lake. In the SD scenario, the priority of ecological sources improves, and 7025 km2 of ecological obstacle restoration area is identified, with 41, 31, and 36 ecological breakpoints in the first, second, and third levels. The study’s findings can assist and shape theoretical and practical approaches to land governance and sustainable development in great lake areas.

Construction and optimization of wilderness network connectivity to address landscape fragmentation in Zhejiang Province, China

Wilderness areas provide important ecosystem services for human being, and as crucial habitats for diverse species. Human activities have led to the fragmentation of wilderness landscapes, posing a significant challenge to biodiversity conservation. Identifying wilderness areas and assessing their network connectivity is fundamental for developing strategies to address this fragmentation. This study used Zhejiang Province, China, which is in the process of rapid urbanization as a case study. We identified the spatial distribution of wilderness by combing the index system and its weights of wilderness identification, using Boolean superposition analysis and the multi-criteria evaluation method, and tested the ecological sensitivity. Additionally, the connectivity of the wilderness network was assessed using the wilderness identification results in Zhejiang Province as ecological sources. The results indicate that: (1) 50% of Zhejiang Province still maintains relatively good wilderness integrity. (2) The wilderness network can cover 82% of highly fragmented habitats and currently unallocated potential natural reserves. (3) In areas not designated as nature reserves but experiencing frequent species movement as well as in identified wilderness regions, robust wilderness networks may play a crucial role in biodiversity conservation. The findings provide quantitative evidence for biodiversity-oriented wilderness network protection and landscape fragmentation management. The results also aid in selecting specific areas for rewilding and ecological restoration, thereby enhancing the overall robustness of the wilderness network.

Monitoring invasive exotic grass species in ecological restoration areas of the Brazilian savanna using UAV images

Identifying and monitoring invasive exotic grasses (IEG) is critical for the ecological restoration of grasslands and savannas, as they are the main barrier to the successful recovery of native grasslands and savannas. The integration of high-resolution remote sensing data, acquired through UAVs (Unmanned Aerial Vehicles), with machine learning algorithms is advancing restoration monitoring. The present study aimed to estimate IEG cover and identify plots with different invasive species dominance in ecological restoration areas in the Brazilian savanna. For ground truth, species cover estimates were carried out in plots through point-line intercept sampling. Then, the areas were classified according to the dominance of each invasive species (>40% vegetation cover) or of a mix of native species. A multispectral camera onboard a UAV was used to acquire images in the visible to near-infrared spectrum. From the images, vegetation indices and texture metrics were derived as predictor variables. The Random Forest (RF) algorithm was used to estimate the percentage of invasive species cover and to classify plots in terms of species dominance. The final RF regression for invasive species cover percentage presented an R2 of 0.71 and selected the blue band, NIR and Ratio Vegetation Index (RVI) as the most important variables. The overall accuracy of plot classification according to species dominance was 84%. The most prominent predictors were the Green Chlorophyll Index (GCI), the atmospherically resistant vegetation index (ARVI), and the RVI. The structural and photosynthetic characteristics of exotic and native species influenced the spectral responses. In conclusion, multispectral images acquired with UAV can be used to estimate the proportion of invasion in restoration sites and to map areas dominated by different invasive grass species in grasslands and savannas. This is a useful tool for evaluating restoration success and can help indicate areas that require management interventions.

Identification of Harbin Ecological Function Degradation Areas Based on Ecological Importance Assessment and Ecological Sensitivity

This study is based on the National Spatial Ecological Protection and Restoration Plan, using logical ecological evaluation indicators to determine the extent of ecological function degradation areas in Harbin City. In the Heilongjiang Province, Harbin faces severe ecological environment degradation, characterized by reduced area, deteriorated water quality, loss of biodiversity, and water resource competition. Identifying degraded ecological regions can effectively address these environmental issues. A multi-level indicator system was constructed to evaluate and identify ecological important and sensitive areas across the city, followed by integrating these results to delineate various levels and types of ecological protection and restoration zones in Harbin. Results indicate that these zones include ecological priority protection areas such as marshes surrounding the Harbin section of the Songhua River, southern aquatic wetlands, and scattered forest conservation areas. Key ecological restoration areas are found in the eastern urban core of Harbin, as well as in Bayan County, Bin County’s northern region, Wuchang City’s northwest region, and Yilan County. General ecological restoration areas are primarily distributed in Songbei District, Shuangcheng District, Mulan County, southeastern Bin County, Shangzhi City, southeastern Wuchang City, and some surrounding counties along the Songhua River. Priority ecological protection areas consist mainly of unused land, cultivated land, and forests, while key and general ecological restoration areas are predominantly composed of cultivated land and forests respectively.

Spatial–temporal variation and correlation analysis of ecosystem service values and ecological risks in winter city Shenyang, China

Ecosystems in winter cities are complex and fragile, experiencing significant changes due to climate variations and human construction activities. Previous studies on the assessment of overall ecosystem service value (ESV) and ecological risk index (ERI) in winter cities are scarce. In this study, we constructed ESV and ERI measurement models using land use data in 2000, 2010, and 2020 using the improved value per unit area factor method and the landscape pattern index method, respectively, to reveal their spatial and temporal change characteristics. Geographic detectors were used to explore the driving roles of natural and artificial factors on the changes of ESV and ERI. The combination in ESV and ERI can then provide a more quantitative and accurate basis for policy decisions, identify priority areas for urban ecological restoration, and reduce the risk to ecosystems. The results of the study show that the total ESV of Shenyang city decreased from 273.97 × 108 CNY to 270.38 × 108 CNY during 2000–2020. Although the decrease is not large, the ESV changes structurally with the advancement of urbanization. During the 20 years, the construction land with the lowest ecological service function continues to expand, increasing by 354 km2, the grassland decreased by 215.9 km2, and the arable land decreased by 196.6 km2. The ecological service function of the water area is the strongest, with an increase of 51.3 km2 in the water area, ensuring that there is no significant decline in ESV. The size of the ERI is Very high, High, and Medium value zones remained relatively stable, while the size of the Very Low-value zone decreased by 12.78% and the size of the Low-value zone increased by 13.21%. The interaction factors that contributed most to the changes in ESV and ERI were annual evapotranspiration (EVP)/ Normalized Difference Vegetation Index (NDVI) and Annual sunshine hours (SSD)/ Digital Elevation Model (DEM) , respectively. There was a spatial correlation between ESV and ERI. The areas with the highest ESV supply capacity and at the same time facing severe ecological risks to the landscape pattern are distributed in the northeastern hilly lands. This area should be prioritized to develop planning and control measures to prevent further erosion of forest lands and grasslands and reduce ecological risks. These results provide a theoretical basis for ensuring ecological security and sustainable development in winter cities.

Identification of key areas for ecological restoration of territorial space based on ecological security pattern analysis: A case study of the Taihu Lake city cluster.

The identification of key areas for ecological restoration of national land space based on the ecological security pattern is an important way to balance environmental protection and social development in the new era. With the Taihu Lake city cluster as the study area, we identified the ecological source from both structural and functional aspects, and used the minimum cumulative resistance model to identify the ecological corridors on the basis of constructing the resistance surface. Coupled the landscape ecological risk evaluation, we determined the appropriate width of each ecological corridor in the study area, identified the key restoration zones through the circuit theory. Then, we constructed the ecological security pattern of "six zones and four belts" and controlled by zoning. The results showed that the 32 ecological source areas in the Taihu Lake city cluster presented a spatial pattern of "more in the east and less in the west-mountains and lakes are connected" and 70 ecological corridors were concentrated in the west and the center. The suitable width of most of the ecological corridors was 1500-2000 m. The ecological restoration zones of the national land space were concentrated in the eastern part of the Lake Taihu, Changxing County, and Liyang City. According to the characteristics of the study area and the actual situation of the restoration area, we proposed specific protection and restoration measures, such as protecting the core ecological source, optimizing and restoring the important corridors, and reasonably planning land use of the ecological pinch points and obstacle points.

Response of soil particles around bedrock outcrops to sorting of rock surface flow derived outcrops in a rocky desertification area

Soils around bedrock outcrops, even if they are protected by vegetation to some extent after ecological restoration, are prone to being washed away by rock surface flow (RSF) derived from these outcrops in rocky desertification land. However, the extent of the scouring scale and sorting effect of RSF on the soils around outcrops remains unknown. To solve this problem, a series of soils around bedrock outcrops exposed in sloping farmland (SF, without RSF), abandoned land (AL, 1 year of RSF) and shrub–grassland (SG, 5 years of RSF) were examined by the laser diffraction method in a natural ecological restoration area of rocky desertification, where the duration of the RSF is also the time for ecological restoration. It was found that the RSF had a limited effect on the particle size distribution of the soils, only having a significant scouring effect on the soils at the rock–soil interface within a horizontal distance of 2 cm from the outcrops and an insignificant effect on the soils far away from the outcrops in terms of horizontal distance (10 cm and 20 cm). The particle size distributions of the soil around the outcrops were related to erosion caused by the RSF, but mainly benefited from ecological restoration. Compared with SF, the fine particle content in the soils around the outcrops significantly decreased in AL, but significantly increased in SG. Within a short period (1 year) after natural recovery, the RSF had a reduced effect on the fine particles of the soil around the outcrops; however, this did not occur after a long period (5 years). The results of this study further explain the influence of the RSF on soil erosion and leakage loss in karst areas.

Livelihood Vulnerability and Adaptation for Households Engaged in Forestry in Ecological Restoration Areas of the Chinese Loess Plateau

Livelihood Vulnerability and Adaptation for Households Engaged in Forestry in Ecological Restoration Areas of the Chinese Loess Plateau

Prioritization of Ecological Conservation and Restoration Areas through Ecological Networks: A Case Study of Nanchang City, China

Rapid urbanization has led to ecosystem fragmentation, conversion, and degradation, posing great threats to natural habitat and biodiversity. The utilization of ecological networks has gained importance in ecological restoration planning to mitigate the negative impacts of urbanization on ecosystems. This study focused on Nanchang City, China, as a case study area to examine the application of integrated ecological networks in 2000, 2010 and 2020. This study analyzed the dynamic characteristics and spatial differences in landscape connectivity, providing evidence-based support for ecological conservation and restoration. The results indicate the following: (1) a decrease in the number of ecological sources and corridors, especially general sources and corridors, along with a decreasing trend in their importance; (2) an increase in ecological barrier points and breakpoints over time, especially in the southeastern region of the study area; and (3) the identification of ecological conservation priority areas, ecological improvement priority areas, and ecological restoration points based on connectivity and dynamic analysis. Multiple priority actions were proposed, which remarkably improved network connectivity and strengthened biodiversity conservation. Our research provides a valuable reference for identifying ecological priorities and developing ecological protection and ecological restoration actions in highly urbanized areas.