Exploring the spatio-temporal disparities and the evolution of Chinese-Style Modernization (CSM) distribution in the Yangtze River Economic Belt (YREB) is instrumental in optimizing the significant productive forces layout within the region. This endeavor entails systematically guiding the transfer of capital, technology, and labor-intensive industries from the downstream to the midstream and upstream regions of the YREB, as well as from central urban areas to the hinterland. The objective of this study was to catalyze the formation of new growth poles in underdeveloped areas of the YREB, thereby fostering indigenous development vitality. Constructing an evaluation index system for CSM based on five major characteristics, I employed the entropy method to calculate the comprehensive evaluation index for CSM in the 11 provincial regions of the YREB from 2005 to 2021. Subsequently, leveraging spatial quantile technique, I simulated the gradient grouping of CSM. Utilizing the Dagum Gini coefficient method, I measured the relative disparities in the level of CSM. Additionally, based on the kernel density estimation method, I characterized the absolute disparities and dynamic evolutionary features of CSM level. The main findings were as follows: (1) From the eastern to the central, and then to the western regions, the level of CSM in the YREB exhibited a conspicuous gradient descent trend. (2) Overall, the level of CSM in the YREB was consistently on the rise, with the non-uniform development scenario tending to weaken. (3) Relative disparity values were relatively high within economically developed regions and between economically developed and underdeveloped regions, but the values exhibited a trend of reduction. Simultaneously, economically developed region in the YREB manifested a polarization phenomenon in the level of CSM, with absolute disparity showing a diminishing trend. This paper provided a crucial reference for the quantitative analysis of CSM and the measurement of relative and absolute disparities in CSM within and between the regions.

Studying the impact of new-type urbanization on urban land green use efficiency is of great significance for achieving high-quality development of urbanization and sustainable use of urban land. Using 41 cities in the Yangtze River Delta region from 2005 to 2020, the impact of new-type urbanization on urban land green use efficiency and spatial effect were analyzed using methods of super efficiency SBM model, window analysis method, and spatial panel Durbin model. The results showed that: (1) the level of new-type urbanization showed a fluctuating trend, and urban land green use efficiency showed a fluctuating trend. From a regional perspective, the characteristics in the order of Shanghai > Zhejiang > Jiangsu > Anhui were presented. The spatial difference between new-type urbanization and urban land green use efficiency was obvious. (2) There was a significant spatial positive correlation between the level of new-type urbanization and urban land green use efficiency. The change trend of bivariate global Moran's I presented an obvious “M” type, and the overall spatial dependence of the two was obvious. The local spatial correlation types between new-type urbanization and urban land green use efficiency had been increasing, after 2010, with high concentration areas mainly distributed in southern Jiangsu and northern Zhejiang, and low concentration areas in northern Jiangsu and northern Anhui. (3) New-type urbanization can significantly improve urban land green use efficiency, showing a positive spatial spillover effect. Population density, foreign trade level, science and technology level, industrial structure and government scale all have different degrees of impacts.

Objectively analyzing the impact of regional integration on tourism industry efficiency holds significant implications for promoting the high-quality economic and social development of the Yangtze River Delta urban agglomeration. The entropy method, linear weighting method, and super efficiency Data Envelopment Analysis SBM model were employed to measure the level of integrated development and tourism industry efficiency, from 2008 to 2020. The study also utilized the spatial Durbin model to reveal the underlying relationship and spatial effects between the two. The study found that: (1) The level of regional integration increased from 0.304 in 2008 to 0.490 in 2020, showing a robust upward trend. A "high-southeast, low-northwest" pattern was presented. The "high-high" and "low-low" cluster aggregation characteristics was evident. (2) The tourism industry efficiency value showed a slightly fluctuating downward trend, with the trough point appearing in 2020. The spatial distribution exhibited an "east high, west low, and middle-high with north-south low" pattern. The number of cities with high efficiency gradually increased and expanded to the southeast. (3) The level of regional integration had a significant spatial spillover effect on tourism industry efficiency. Government regulation, urbanization level, level of informationization, degree of transportation convenience, degree of openness, and level of technological development all had positive direct effects on local tourism industry efficiency. Urbanization level and level of informationization had positive spillover effects on neighboring tourism industry efficiency, while government regulation and transportation convenience exhibited negative spillover effects.

Industrial revitalization is the foundation and key to achieve a comprehensive rural revitalization. The evaluation index system of rural industry revitalization was constructed from three dimensions: revitalization of agricultural product industry system, revitalization of multi-functional agricultural industry system and revitalization of agricultural support industry system. The entropy weight TOPSIS method was used to measure the level of rural industry revitalization in 25 prefecture-level cities in the Huaihe River Ecological Economic Belt (HREEB) from 2013-2022. The obstacle degree model was used to diagnose the obstacle factors of rural industry revitalization of the region. The study showed that, the level of rural industrial revitalization in the HREEB was relatively low. The comprehensive score fluctuated in the range of 0.2~0.4, showing an upward trend. There were strong spatial and dimensional differences in the revitalization level of rural industries among the three major regions of the HREEB , with a concave distribution characteristic of "high at both ends and low in the middle". Among the three dimensions, the revitalization of agricultural products industry system and the revitalization of multi-functional agricultural industry system had relatively high comprehensive scores, but the revitalization of agricultural support industry system had lower comprehensive scores. Further diagnosis of the obstacle model concluded that the imperfect construction of rural digital infrastructure, weak rural energy input and support capacity, and insufficient cultivation of new types of business were the main factors restricting the revitalization of rural industries in the HREEB. Countermeasures were proposed in terms of strengthening cross-regional synergy among cities along the Huaihe River, promoting rural digital infrastructure construction, strengthening rural energy revolution, and fostering the development of new industries and new business forms in the countryside.

Clarifying the income transformation of poverty alleviation households in underdeveloped mountainous areas is of great significance for consolidating poverty alleviation achievements and promoting rural revitalization. This article analyzed the overall level and structural characteristics of household income based on the investigation data from 24 poverty-stricken villages in × County, Hubei Province, covering the period of 2016 to 2022. By using geographic detectors and binary logistic regression models, the factors influencing income transformation were explored. The main conclusions were as follows: (1) With continuous support from the government and the development of households themselves, household income had been improved to certain degrees, leading to significant poverty alleviation results in the local area. (2) Individual factors affecting total household income showed significant differences in explanatory power, with family endowment factors being the most prominent. The explanatory power of the interaction between two factors was higher than that of a single factor. (3) The income structure of most households had undergone obvious changes, with a continuous increase in the proportion of wage income and a significant enhancement of endogenous development motivation. (4) Family endowment and geographical environment had the strongest influence, with distinct differences in the direction and intensity of the effects. This article suggested that necessary assistance measures be improved based on the development status of poverty alleviation households, to further raise the income level and to optimize the income structure of the poverty-stricken population for the promotion of comprehensive rural revitalization.

This paper conducted a theoretical analysis of the impact of agglomeration of productive services (APS) on urban haze pollution, focusing on the role of green innovation in this process. Using a panel data set of 278 prefecture-level and above cities in China from 2005 to 2019, we empirically examined the direct effect and heterogeneity of APS on haze pollution, as well as the transmission role and threshold effect played by green innovation. Our findings were as follows: (1) the diversified agglomeration of productive services (DAPS) had a significant pro-reduction effect on haze pollution, while specialized agglomeration of productive services (SAPS) had an inverted U-shaped relationship with haze pollution. (2) Heterogeneity analyses showed that DAPS had a significant suppressive effect on haze pollution in western cities, large cities of type II, small and medium-sized cities and non-resource-based cities, and an inverted U-shaped effect on haze pollution in east-central cities, while a U-shaped effect on haze pollution in northeastern cities. SAPS exacerbated haze pollution in western cities. The impact on haze pollution in northeastern cities, resource-based cities and small and medium-sized cities was consistent with the conclusion of the full sample. The degree of agglomeration had not yet crossed the inflection point and was still at the stage of exacerbating haze pollution. (3) Green innovation was an important mechanism via which APS affected urban haze pollution, which played both a transmission effect and a threshold effect in the process.

The implementation effect of the Ten-year fishing ban policy is directly related to whether the goals can be successfully achieved proposed by the central government, including allowing fishermen "retreating fishing", "living stabilization" and "getting richer". Based on the survey of 14 counties in Hunan Province, a comprehensive benefit evaluation index system was constructed which included ecology, economy and society indicators. The entropy weight-TOPSIS model was used to evaluate the implementation effect of the fishing ban policy. This study found that: (1) In the short term, the economic and social benefits of the policy accounted for 85% of the total benefits, and the ecological benefits only accounted for about 15%. Achieving good ecological benefits required long-term persistence and more efforts. (2) Only counties that performed well both in ecological, economic and social benefits could achieve comprehensive benefits satisfactory. Counties with poor efficiency in individual indicators failed to achieve a high comprehensive benefit score. (3) Increasing the expenditure for the fishing ban, transferring employment training, and publicity of fishing ban could improve the comprehensive benefit greatly.

Reducing carbon emissions while ensuring grain security is currently an urgent problem that needs to be solved for optimizing agricultural planting structure. This study analyzed the influence of different cropping patterns on greenhouse gas emissions and carbon footprint of paddy fields in the lower reaches of the Yangtze River. Four treatments were considered including one single-cropping pattern (i.e., winter fallow-rice) and three double-cropping patterns (i.e., Chinese milk vetch-rice, winter rapeseed-rice and winter wheat-rice). Methane (CH₄) and nitrous oxide (N₂O) emissions were simultaneously measured by static chamber and gas chromatography methods for two consecutive years. The life cycle assessment method was used to estimate the direct and indirect greenhouse gas emissions caused by field production process and agricultural inputs. The carbon footprint was then accordingly calculated. The results showed that: (1) Double-cropping patterns significantly increased the annual CH₄ and N₂O emissions by 17.5%~64.5% and 60.7%~139.8%, and the annual soil organic carbon sequestrations by 17.3%~37.2%, respectively. (2) The soil organic carbon sequestrations under different cropping patters could offset 26.6%~35.6% of greenhouse gas emissions. When soil organic carbon sequestrations were taken into account, the average annual net carbon footprint per unit area for winter wheat-rice, winter rapeseed-rice, and Chinese milk vetch-rice was 13.79, 11.83, and 9.07 t CO₂-eq·hm^-2, respectively, which was 80.6%, 55.0%, and 18.8% greater than that for winter fallow-rice (7.63 t CO₂-eq·hm^-2). (3) Soil CH4 emissions were the most important contributor to the carbon footprint of paddy fields (61.8%~67.4%), followed by nitrogen fertilizer application (18.3%~23.9%), N₂O emissions (3.3%~5.2%) and diesel combustion (2.2%~2.8%). (4) Double-cropping patterns could increase the annual grain yields and economic outputs compared with those of single-cropping pattern, while planting grain and oil crops in non-rice season significantly improved the annual net incomes. However, no significant differences in the carbon footprint per grain yield and the carbon footprint per economic output were observed between the four cropping patterns. Therefore, winter fallow-rice was a relatively low carbon cropping pattern for paddy fields in the lower reaches of the Yangtze River. Considering the carbon emission, grain security and economic output, winter wheat-rice and winter rapeseed-rice were superior to winter fallow-rice. Development of effective strategies for CH₄ and nitrogen fertilizer reduction should be considered as a priority for reducing the carbon footprint of paddy fields.

In the context of green and low-carbon development, research on the spatial correlation of land use carbon budget and carbon compensation zoning is of great significance for promoting regional coordinated development and governance and achieving high-quality development. In this study, the carbon budget of cities was calculated as the basic unit. The spatial correlation and structural characteristics of carbon budget in the middle reaches of Yangtze River were analyzed by using gravity model and social network analysis method. Using SOM-K-means model, carbon compensation zoning in the study area was carried out. The results showed that: (1) From 2005 to 2020, carbon emissions showed an upward trend, from 2.18×108t to 3.01×108t, with a spatial distribution of "higher in the east, lower in the west and highest in the center"; The carbon uptake fluctuated from 2.75×108t to 2.86×108t, showing a "C" pattern of spatial distribution decreasing from outside to inside. (2) From the overall perspective, the network density of carbon emission and carbon absorption was relatively low, which implied that there existed a large potential for spatial collaboration; From the individual perspective, Wuhan City, Jiujiang City, Yueyang City were in the center of the carbon emission network. These cities played the role of "bridge" in the network, while Yichun City, Changde City and Ji 'an City were in the center of the carbon absorption network. The carbon emission of each node in the carbon budget network was inconsistent with the carbon absorption capacity, showing significant differences. (3) Based on this study, the middle reaches of the Yangtze River was divided into three types of zone, including 12 payment zones, 13 balance zones and 17 replenishment zones. Corresponding low-carbon development directions and strategies were proposed for each type of zone.

The Yangtze River Midstream Urban Agglomeration is an important growth pole for China's high-quality development. Identifying the spatiotemporal characteristics and driving forces of land spatial pattern evolution under different economic development gradients in this region is of great significance for optimizing the land spatial pattern and promoting regional coordinated development. This study utilized methods of land spatial transfer matrix, standard deviation ellipse, kernel density analysis, and spatial econometric models to reveal the characteristics and driving mechanisms of land spatial pattern evolution in the study area, during the period of 1990-2020. The main conclusions were as follows: (1) The proportions of different land spatial types in the study area were ranked from high to low in terms of ecological space, agricultural space, and urban space. The changes in land spatial pattern varied significantly under different development stages. (2) The competition among urban, agricultural, and ecological spaces formed a land spatial pattern of "increase in one, decrease in two". The improvement of economic development stages, the transformation patterns among different land spatial types became more complex and diverse. The farmland and green space were more prone to loss. (3) The urban space changed from a small number of main cores and unclear agglomeration characteristics to multiple core diffusion and an increase in high-value areas, with more drastic changes in the center of gravity; The agricultural space demonstrated an increase in the number of sub-cores, a significant decrease in high-value areas, a higher degree of spatial fragmentation, and a relatively stable change in the center of gravity; The kernel density of ecological space changed from spatial concentration to spatial fragmentation, especially in the northwest region. (4) The formation of land spatial pattern was driven by multiple factors including nature, population, and economy. The degree and direction of these factors' influence on different spaces varied. According to this study, it was necessary to fully consider the future development orientation of the Yangtze River Midstream Urban Agglomeration, strengthen land spatial classification management, and coordinate the driving factors of land spatial pattern, in an attempt to provide theoretical basis and decision-making reference for the coordinated, healthy, and sustainable development of the "three zones" in the study area in the new era.

Exploring the interactive relationship between agricultural transformation development and agricultural eco-environment can promote the implementation of rural revitalization strategy and the construction of beautiful China. Taking the Qinling-Daba Mountain Area as an example, this study used the entropy weight method to evaluate the level of agricultural transformation development and agricultural eco-environment, based on the constructed comprehensive indicator system. A coupled coordination degree model was used to explore the evolution trend and characteristics of the interactive relationship. The geographic detectors were applied to analyze the main influencing factors on the coupling and coordination. The results were as follows: (1) From 2003 to 2020, the agricultural transition development level and agricultural eco-environment level showed an upward trend. (2) The coupling and coordination degree shifted from low to high in time, and the overall distribution pattern showed a spatial heterogeneity. The coupling and coordination type gradually shifted from agricultural eco-environment lagged to agricultural transformation development lagged. (3) The main influencing factors of the coupling coordination degree of the two systems included the cultural level of rural employees, the proportion of agricultural output value in regional GDP, the area of soil erosion control, and the ratio of crop sown area to farmland area. The synergy between factors was strong. Our results indicated the agricultural transformation in the Qinling-Daba Mountain Area should be oriented towards the ecological development. Differentiated development strategies should be implemented for different regions.

As an important type of social ecosystem, mountain plays an important role in the ecological conservation of land space, regional coordinated development, national sustainable development and the construction of national overall security system. This paper took 384 types of datasets on the theme of ' mountain social ecosystem ' funded by the National Social Science Fund from 1991 to 2021 as samples, and used Python,Arcgis and CiteSpace to analyze the basic situation, research group characteristics and hot topics of mountain social ecosystem research projects. The results showed that : （1） In terms of the basic situation of the project : the number of annual project of mountain research showed a fluctuating growth trend, which could be divided into three stages : initial development, jump rise and spiral growth. The number of projects on western area had obvious advantages, which was 2.72 times of the average level. The distribution of disciplines had the dual characteristics of diversification and focusing, involving 96 % of the subjects, but was significantly concentrated in ethnology, accounting for 34%.（2） In terms of the characteristics of the research groups, the spatial distribution of the study population showed a trend of shifting from the southwest cold spot gathering area to the central hot spot gathering area.（3）As far as the research area and content were concerned : the hotspots in the mountain project research area were concentrated and the distribution was severely unbalanced. The hotspots were significantly concentrated in Wuling Mountain and more than 80% of the main mountains were not included; The research content mainly focused on mountain ethnic culture, mountain poverty alleviation mechanism, mountain coordinated development and mountain ecological security, with significant cohesion. Based on the comprehensive analysis of the research hotspots, policies and literature of mountains, this paper concluded that the construction of mountain discipline system, the re-understanding of mountain functions and the cross-domain joint governance of mountains were worthy of academic attention and further research.

 Based on the data samples in the Yangtze River Delta from 2018 to 2022, a social network analysis method was adopted to study the network structure of air pollution collaborative governance. The study found that: (1) In general, the network density of atmospheric pollution collaborative governance in the study area tended to increase, gradually evolving from the initial structural characteristics of "strong horizontal and weak vertical" to the characteristics of "strong horizontal and strong vertical". (2) The administrative forces had remarkably dominant influence on the coordinated air pollution control, and its network structure showed the hierarchical characteristics of obvious non-gradient distribution. In addition, the provincial administrative subjects played a key leading role in the network structure. (3) The structure of the regional air pollution collaborative governance network was significantly influenced by the provincial administrative boundaries. Cities within Jiangsu, Zhejiang, and Anhui formed a closely connected subset of cooperation. Cities within the provincial boundaries showed a closer relationship in carrying out air pollution collaborative governance, while trans-provincial collaborative governance connections were mainly concentrated on provincial capital cities or provincial boundary cities. (4) The distance between cities and jurisdictions division had significant impacts on the formation of the relationship of air pollution collaborative governance. Based on the research findings, this article proposed certain policy recommendations, such as improving the "three-level operation" structural model of regional cooperation in the Yangtze River Delta, promoting the flattened development of air pollution collaborative governance structure, and strengthening the trans-regional air pollution collaborative governance link.

To elucidate the aquatic environmental characteristics and their impact on phytoplankton communities in oxbow lakes situated within the middle reaches of the Yangtze River, investigations and analyses were conducted for both before and after the flood seasons. Water quality indicators encompassed TP, TN, NH₃-N, COD_Mn and BOD₅. Phytoplankton investigations involved species composition, biomass, and biodiversity assessments. Significant indicators influencing lake water quality were identified, and a quantitative evaluation of water quality pre and post flood seasons was executed by constructing an optimized fuzzy mathematical evaluation method. Additionally, the eutrophication status of each lake was assessed. Grey relational analysis and RDA analysis were employed to pinpoint the primary water quality indicators impacting the characteristics of phytoplankton communities. Several key conclusions were drawn. (i) The water quality of oxbow lakes in the middle reaches of the Yangtze River generally ranged between III and IV. Lakes controlled by water gates exhibited better water quality in flood seasons than those freely connected to the Yangtze River, while the reverse was observed post-flood seasons. (ii) The primary water quality indicators influencing phytoplankton density were TP and COD_Mn , while TN, NH₃-N, and COD_Mn were the main indicators affecting the diversity of phytoplankton communities. Oxbow lakes were typically in a mesotrophic state before flood seasons, and there was a slight increase in eutrophication for post-flood seasons. (iii) Implementing measures including nutrient control, water level regulation, and hydraulic control could aid in restoring lake water quality and optimizing phytoplankton diversity and richness.

There are numerous pumping stations in the middle and lower reaches of Yangtze River, which are main channels for urban rainwater and sewage to the River. Jiangnan pumping station in the Great Tangxun Lake basin in Wuhan was taken as an example in this study. A two-dimensional hydrodynamic water quality model of the river section based on MIKE21 was built. The migration and diffusion characteristics of COD, NH₃-N, TP in the river section was simulated under three conditions, including normal discharge of sewage treatment plant tail water (ND), accident discharge of sewage treatment plant tail water (AD), and waterlogging drainage (WD). Compared with ND, the influence range and degree of WD on the concentration of water quality index in river reach increased significantly. The length and width of TP pollution zone exceeding Class II water quality standard increased by 2.66 times and 0.64 times, respectively. In addition, the TP concentration of the downstream Yangsigang national control section exceeded the standard by 0.16 times, which was equivalent to the impact of AD. Pumping station drainage was becoming a potential risk source of water quality exceeding the standard in flood seasons. The impact of pumping station drainage on the water environment was mainly controlled by the quality and flow of drainage. Developing a multi-objective operation and scheduling plan for pumping stations based on flood control safety, water environment protection, and other objectives was proposed for future research. It was suggested drainage pumping station in supervision and management of the river discharge outlet be considered, to force the improvement of water environment quality of cities along the River and to effectively reduce environmental risks of the main stream.

The Hydrological Change Indicators (IHA) can comprehensively describe the hydrological regime of rivers. However, there is a certain overlap of information between the numerous indicators, which limits their widespread application in the fields of hydrology and aquatic ecology. Based on the daily runoff data of Lijiadu Hydrological Station in the lower reaches of the Fu River from 1953 to 2018, ecologically relevant hydrological  indicators (ERHIs) were preliminarily selected by principal component analysis (PCA), and the key ERHIs were further selected by combining the random forest (RF) importance scores of indicators under different labels. The evolution and influencing factors were also analyzed emphatically. The hydrological and meteorological variation points in the lower reaches of the Fu River were in 1962, 1984, and 2002. Based on this, the research period was divided into the reference period and the first, second, and third impact periods; Based on the PCA method, 8 ERHIs were initially selected, and the RF importance score was used to further optimize the minimum 30 day average flow, January average flow, and April average flow of three key ERHIs; During the three impact periods, the overall hydrological changes of key ERHIs in the lower reaches of the Fu River were 31%, 24%, and 50%, respectively; Among them, the minimum 30 day average flow rate showed moderate to high changes in each impact period, and experienced two decreases in the first and third impact periods, respectively. This was considered to be related to the continuous expansion of the number and scale of water conservancy engineering projects in the river basin; After the construction and operation of Hongmen Reservoir in the 1980s, the average flow in April during flood seasons was effectively reduced, while the average flow in January during dry seasons showed a slight increase; After the 21st century, key ERHIs in the lower reaches of the Fu River showed a downward trend due to climate change and urbanization processes. After PCA-RF screening, the IHA system in the lower reaches of the Fu River was greatly simplified, which helped to grasp the key indicators and provide important reference value and significance for ecological restoration and water resource optimization.

 We studied the variations of water quality and its related driving factors of Dongting Lake from 2015 to 2020. Four water quality indicators were selected, including TN, TP, CODMn and NH₃-N, to analyze the lake water quality variations before and after the operation of the Three-year Action Plan. Water pollution index w and composite pollution index γ were calculated to assess the water quality pollution level of the lake. The driving mechanism of water quality variations was studied combining with four hydrological indicators, namely water level, inlet flow, inlet sediment volume and sedimentation, and four anthropogenic indicators of sewage treatment rate, livestock excretion, fish production and fertilizer application. The results showed that: (1) During the study period, the water quality of Dongting Lake showed an improving trend (p<0.05). The TN, TP and NH₃-N concentrations showed a significant decreasing trend, which were significantly reduced after the Action Plan. The composite pollution indices of Dongting East, Dongting South and Dongting West were respectively 0.86, 0.78, 0.78, and the pollution level of Dongting Lake was much higher in the eastern than in the western lake basin. (2) The water level, inlet flow, and inlet sediment volume were relatively stable, while sediment deposition rises significantly from -1 528.2×10⁴ t/a to 1 211.7×10⁴ t/a. (3) Livestock excretion, fertilizer application, sewage treatment rate, water level, and sediment deposition were the vital driving factors influencing the change of water quality. It was recommended that subsequent management be consistently strengthened to control the exogenous nutrients. Meanwhile, the hydrological conditions of Dongting Lake should be improved to enhance its hydrological connectivity.

With the continuous expansion of tea plantation area, understanding the spatial distribution of soil organic carbon and its influencing factors is of great significance in guiding the construction of carbon sink tea plantations. In this study, we investigated the dominant factors affecting the spatial variability of soil organic carbon content in different soil layers of tea plantations. Soil samples from regional tea plantations and the surrounding woodlands and scrub grasslands in Guizhou Province were collected. GIS cluster analysis and the geographical detector model analysis were adopted in the study. The results showed that the soil organic carbon content of regional tea plantations ranged from 5.61 to 80.92 g·kg-1. The spatial distribution was moderately variable (coefficient of variation 0.47). The average content of soil organic carbon was 49.34, 29.80, and 19.65 g·kg-1 in the three regions of woodland, tea plantation, and scrub grassland, respectively. The soil organic carbon content of tea plantations decreased with the increase of soil depth. Quantitative assessment revealed that elevation was the dominant factor influencing the spatial heterogeneity of soil organic carbon in tea plantations. The changes in elevation significantly affected regional temperature and rainfall. The spatial distribution of soil organic carbon in the surface layer was mainly influenced by temperature, while rainfall was the main influencing factor for the middle and lower soil layers. It was concluded that the carbon sequestration capacity and the carbon sink efficiency could be effectively increased by regulating the soil hydrothermal conditions in tea plantations.