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学者姓名:苏凯
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Exploring and predicting the spatiotemporal evolution characteristics and driving forces of carbon storage in typical mountain forest ecosystems under land-use changes is crucial for curbing the effects of climate change and fostering sustainable, eco-friendly growth. The existing literature provides important references for our related studies but further expansion and improvements are needed in some aspects. This study first proposed an integrated framework comprising gray multi-objective optimization (GMOP), Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST), the Patch-level Land Use Simulation Model (PLUS), and optimal parameter-based geographical detector (OPGD) models to further expand and improve on existing research. Then, the integrated model was used to analyze the spatial-temporal variation in land-use pattern and carbon storage at the county scale in China's Daiyun Mountain's Rim under four scenarios in 2032, and analyze the driving force of spatial differentiation of carbon storage. The results indicated that (1) land-use change primarily involves the mutual transfer among forest, cultivated, and construction land, with approximately 7.2% of the land-use type area undergoing a transition; (2) in 2032, the natural development scenario projects a significant reduction in forest land and an expansion of cultivated, shrub, and construction lands. Conversely, the economic priority, ecological priority, and economic-ecological coordinated scenarios all anticipate a decline in cultivated land area; (3) in 2032, the natural development scenario will see a 2.8 Tg drop in carbon stock compared to 2022. In contrast, the economic priority, ecological priority, and economic-ecological coordinated scenarios are expected to increase carbon storage by 0.29 Tg, 2.62 Tg, and 1.65 Tg, respectively; (4) the spatial differentiation of carbon storage is jointly influenced by various factors, with the annual mean temperature, night light index, elevation, slope, and population density being the key influencing factors. In addition, the influence of natural factors on carbon storage is diminishing, whereas the impact of socioeconomic factors is on the rise. This study deepened, to a certain extent, the research on spatiotemporal dynamics simulation of carbon storage and its driving mechanisms under land-use changes in mountainous forest ecosystems. The results can serve to provide scientific support for carbon balance management and climate adaptation strategies at the county scale while also offering case studies that can inform similar regions around the world. However, several limitations remain, as follows: the singularity of carbon density data, and the research scope being confined to small-scale mountainous forest ecosystems. Future studies could consider collecting continuous annual soil carbon density data and employing land-use simulation models (such as PLUS or CLUMondo) appropriate to the study area's dimensions.
Keyword :
carbon storage carbon storage GeoDetector GeoDetector GMOP-PLUS-OPGD GMOP-PLUS-OPGD land-use change land-use change multi-scenario simulation multi-scenario simulation
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| GB/T 7714 | Chen, Gui , Peng, Qingxia , Fan, Qiaohong et al. Spatial-Temporal Variation and Driving Forces of Carbon Storage at the County Scale in China Based on a Gray Multi-Objective Optimization-Patch-Level Land Use Simulation-Integrated Valuation of Ecosystem Services and Tradeoffs-Optimal Parameter-Based Geographical Detector Model: Taking the Daiyun Mountain's Rim as an Example [J]. | LAND , 2025 , 14 (1) . |
| MLA | Chen, Gui et al. "Spatial-Temporal Variation and Driving Forces of Carbon Storage at the County Scale in China Based on a Gray Multi-Objective Optimization-Patch-Level Land Use Simulation-Integrated Valuation of Ecosystem Services and Tradeoffs-Optimal Parameter-Based Geographical Detector Model: Taking the Daiyun Mountain's Rim as an Example" . | LAND 14 . 1 (2025) . |
| APA | Chen, Gui , Peng, Qingxia , Fan, Qiaohong , Lin, Wenxiong , Su, Kai . Spatial-Temporal Variation and Driving Forces of Carbon Storage at the County Scale in China Based on a Gray Multi-Objective Optimization-Patch-Level Land Use Simulation-Integrated Valuation of Ecosystem Services and Tradeoffs-Optimal Parameter-Based Geographical Detector Model: Taking the Daiyun Mountain's Rim as an Example . | LAND , 2025 , 14 (1) . |
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农业碳排放是继工业之后的第二大碳源,降低其强度对实现碳中和至关重要。基于省级温室气体清单核算了2001—2021年福建省农业碳足迹水平,并利用改良的随机森林模型分析其影响因素。结果表明:1) 2001—2005年福建省农业碳足迹变化平稳,略微下降;2006—2018年为农业碳足迹水平急剧下降时期;2019—2021年农业碳足迹水平呈现倒“V”增长态势。2)三明市、漳州市、南平市、龙岩市为高碳足迹水平城市,福州市、宁德市、莆田市、泉州市为碳足迹平稳城市,厦门市为低碳足迹水平城市;高碳足迹城市主要碳源不尽相同,碳足迹平稳城市碳源主要为稻田甲烷排放,低碳足迹城市农业碳足迹水平则源自各类碳源的微弱叠加。3)城市化发展水平、经济结构优化、产业结构特征、技术水平、人口规模总量、经济发展规模、固定资产投资总额、农村供电规模和财政助农水平是制约农业碳足迹水平的重要因素。据此,提出如下优化措施:1)着眼于农业碳足迹强度变化趋势,推进农业农村节能减排。2)利用区域“空间溢出”效应,协同推进农业碳减排工作。3)发挥经济子系统和社会子系统的协同作用。4)重视环境子系统和支撑子系统的保障作用。
Keyword :
农业碳足迹 农业碳足迹 机器学习 机器学习 碳中和 碳中和 网格搜索法 网格搜索法 随机森林算法 随机森林算法
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| GB/T 7714 | 陈明圣 , 洪小燕 , 彭清霞 et al. 基于网格搜索-随机森林算法的农业碳足迹评价及其影响因素研究——以福建省为例 [J]. | 生态学报 , 2025 , (14) . |
| MLA | 陈明圣 et al. "基于网格搜索-随机森林算法的农业碳足迹评价及其影响因素研究——以福建省为例" . | 生态学报 14 (2025) . |
| APA | 陈明圣 , 洪小燕 , 彭清霞 , 林文雄 , 苏凯 . 基于网格搜索-随机森林算法的农业碳足迹评价及其影响因素研究——以福建省为例 . | 生态学报 , 2025 , (14) . |
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Human actions have led to consistent and profound alterations in land use, which in turn have had a notable effect on the services provided by ecosystems. In this research, the Google Earth Engine (GEE) was initially employed to perform a supervised classification of Landsat satellite images from 2000 to 2020, which allowed us to obtain land-use data for Putian City, China. Next, the geo-informatic Tupu model and the revised valuation model were used to explore the spatial attributes and ecological effects of land-use changes (LUCs). Subsequently, EEH (eco-economic harmony), ESTD (ecosystem services tradeoffs and synergies degree index), and ESDA (exploratory spatial data analysis) methods were employed to further analyze the coordination level, trade-offs, synergies, and spatial patterns of ecological-economic system development. The findings revealed that: (1) The land-use composition in Putian City was predominantly cultivated land and forest land, with other types of land intermixed. Concurrently, there was an ongoing trend of expansion in urban areas. (2) ESV in Putian City exhibited an upward trend, increasing from 15.4 billion CNY to 23.1 billion CNY from 2000 to 2020. (3) ESV exhibited an imbalance in spatial distribution, with high-high agglomeration areas concentrated in the central part of Putian City and the coastal region of Hanjiang District, while low-low agglomeration areas were prevalent in Xianyou County in the southwest, Xiuyu District along the coast, and Licheng District in the urban center. (4) Synergistic relationships among ESs predominated, though the trade-off relationship showed a tendency to expand. (5) The ecological environment and economic progress in Putian City collectively faced a region of potential risk. The findings of this study are intended to serve as a guide for improving the distribution of land resources and for developing strategies that ensure the sustainable development of the region's socio-economic framework.
Keyword :
eco-economic harmony eco-economic harmony ecosystem services valuation ecosystem services valuation geo-informatic Tupu geo-informatic Tupu land-use changes land-use changes spatial-temporal variation spatial-temporal variation tradeoffs and synergies tradeoffs and synergies
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| GB/T 7714 | Peng, Qingxia , Wu, Dongqing , Lin, Wenxiong et al. Dynamic Land-Use Patterns and the Associated Impacts on Ecosystem Services Value in Putian City, China [J]. | APPLIED SCIENCES-BASEL , 2024 , 14 (11) . |
| MLA | Peng, Qingxia et al. "Dynamic Land-Use Patterns and the Associated Impacts on Ecosystem Services Value in Putian City, China" . | APPLIED SCIENCES-BASEL 14 . 11 (2024) . |
| APA | Peng, Qingxia , Wu, Dongqing , Lin, Wenxiong , Fan, Shuisheng , Su, Kai . Dynamic Land-Use Patterns and the Associated Impacts on Ecosystem Services Value in Putian City, China . | APPLIED SCIENCES-BASEL , 2024 , 14 (11) . |
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To obtain a scientific understanding of the spatial and temporal patterns of agricultural ecoefficiency (AEE) as well as its influencing factors in Fujian Province, effective recommendations were provided to promote agricultural green development. The Super-SBM model with undesired output was employed to assess AEE, and the GTWR model was used to analyze the main factors influencing AEE based on data from nine prefecture-level cities in Fujian Province spanning from 2000 to 2020. There are three conclusions to be drawn: Firstly, the AEE of Fujian Province has increased from 0.340 in 2000 to 0.971 in 2020, but it has not yet reached the efficiency frontier due to excessive input of agricultural factors and carbon emissions. The development of AEE across regions is unbalanced with a wide gap between them. Secondly, from a spatial correlation perspective, global correlation of AEE in Fujian Province showed random distribution while local agglomeration existed to varying degrees. Thirdly, AEE in Fujian Province was influenced by various driving factors that changed significantly over different periods and exhibited obvious regional differences. In summary, the AEE of Fujian Province has shown overall improvement; however, its effectiveness remains limited. The disparities among cities are evident, necessitating the formulation of differentiated strategies for agricultural ecological development to enhance regional synergistic driving forces and improve regional AEE.
Keyword :
agricultural carbon emissions agricultural carbon emissions agricultural eco-efficiency agricultural eco-efficiency GTWR GTWR spatial autocorrelation spatial autocorrelation Super-SBM model Super-SBM model
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| GB/T 7714 | Hong, Xiaoyan , Peng, Qingxia , Su, Kai . Temporal-Spatial Dynamic Characteristics and the Determinants of Agricultural Eco-efficiency in Fujian Province, China [J]. | POLISH JOURNAL OF ENVIRONMENTAL STUDIES , 2024 , 33 (2) : 1135-1147 . |
| MLA | Hong, Xiaoyan et al. "Temporal-Spatial Dynamic Characteristics and the Determinants of Agricultural Eco-efficiency in Fujian Province, China" . | POLISH JOURNAL OF ENVIRONMENTAL STUDIES 33 . 2 (2024) : 1135-1147 . |
| APA | Hong, Xiaoyan , Peng, Qingxia , Su, Kai . Temporal-Spatial Dynamic Characteristics and the Determinants of Agricultural Eco-efficiency in Fujian Province, China . | POLISH JOURNAL OF ENVIRONMENTAL STUDIES , 2024 , 33 (2) , 1135-1147 . |
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Exploring the mechanisms and processes of land-use transitions (LUTs) and their impact on ecosystem services can effectively elucidate the intricate interactions between human and natural systems, which is pivotal for advancing the sustainable development of regional economies and enhancing ecological environments. However, the existing literature lacks comprehensive analysis regarding the spatial and temporal evolution of LUTs, with insufficient integration of the "spatial pattern" and "time process". Moreover, traditional assessments of the ecosystem services value (ESV) often overlook their negative costs. To address these gaps, this study first utilized the Google Earth Engine (GEE) cloud platform and employed the random forest algorithm to conduct supervised classification on Landsat remote-sensing images from the years 2000, 2010, and 2020 within the research area, thereby obtaining land-use data for three distinct periods. And then, we investigated the geographic features of LUTs and their ecological effects in the Ningde City of China from 2000 to 2020. The geo-informatic Tupu model and a newly revised method of benefit transfer were primarily employed for this purpose. The findings indicate the following: (1) Over the study period, the land-use structure of Ningde City predominantly comprised cultivated land and forest land, with continuous decreases in both types and a concurrent increase in built-up land. (2) Significant disparities exist in the spatial distribution of Tupu units, notably with "forest land -> cultivated land" and "cultivated land -> built-up land" as crucial units influencing ESV changes. (3) The ESV in Ningde City decreased from CNY 1105.54 x 108 to CNY 1020.47 x 108 over 2000-2020, while the ecosystem dis-services value exhibited an opposing trend, rising from CNY 12.68 x 108 to CNY 20.39 x 108. (4) The net ESV in Ningde City showed a decline over the same period, indicating a certain vulnerability in the city's ecological system structure. This study aims to enhance our understanding of the influence of land-use patterns on ESV, offering valuable insights for regional ecological-environment management and land-use policy formulation, thereby fostering sustainable development in ecological, environmental, and socio-economic dimensions. Furthermore, the results serve as a reference for evaluating net ecosystem services value in other countries/regions.
Keyword :
benefit-transfer method benefit-transfer method ecosystem dis-services ecosystem dis-services ecosystem services value ecosystem services value geo-informatic Tupu geo-informatic Tupu land-use change land-use change
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| GB/T 7714 | Peng, Qingxia , Shen, Lingzhi , Lin, Wenxiong et al. Land-Use Transitions Impact the Ecosystem Services Value in a Coastal Region by Coupling the Geo-Informatic Tupu and Benefit-Transfer Method: The Case of Ningde City, China [J]. | APPLIED SCIENCES-BASEL , 2024 , 14 (9) . |
| MLA | Peng, Qingxia et al. "Land-Use Transitions Impact the Ecosystem Services Value in a Coastal Region by Coupling the Geo-Informatic Tupu and Benefit-Transfer Method: The Case of Ningde City, China" . | APPLIED SCIENCES-BASEL 14 . 9 (2024) . |
| APA | Peng, Qingxia , Shen, Lingzhi , Lin, Wenxiong , Fan, Shuisheng , Su, Kai . Land-Use Transitions Impact the Ecosystem Services Value in a Coastal Region by Coupling the Geo-Informatic Tupu and Benefit-Transfer Method: The Case of Ningde City, China . | APPLIED SCIENCES-BASEL , 2024 , 14 (9) . |
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Investigating the spatial-temporal evolution of land use and its driving forces provides a scientific basis for policy formulation, land-use structure adjustment, and ecological civilization development. Using the Google Earth Engine (GEE) platform, this study analyzed remote sensing images from 2000, 2010, and 2020 to derive basic land-use data for Putian City and its five districts and counties. These data were then systematically analyzed using methodologies such as Single Land-use Dynamics and Geo-informatic Tupu to reveal the characteristics of land-use transitions (LUTs), and the spatial-temporal evolution pattern over the past two decades in Putian City, China. Subsequently, socioeconomic conditions and macro policies were identified as driving factors to further explore the mechanisms behind land-use evolution in the study area through canonical correspondence analysis (CCA). The findings revealed that: (1) The predominant land-use structure in Putian City consisted mainly of cultivated land and forest land, with other land types interspersed within them, while built-up land exhibited continual outward expansion. (2) Various regions within Putian City exhibited varying degrees of abandoned farmland, ultimately transforming into wasteland (grassland) with weed growth, presenting significant challenges for ensuring food security and mitigating the conversion of cultivated land to non-agricultural and non-grain uses. (3) Specific macro-economic development objectives during distinct periods, particularly urban expansion and the growth of the secondary industry resulting from municipal and county mergers, emerged as pivotal factors driving the spatial and temporal evolution of land use and influenced the differential distribution pattern across Putian City. Consequently, this study suggests bolstering scientific planning and implementing effective regulations concerning land use, and it advocates for the efficient utilization of space-time resources pertaining to cultivated land, integrating them with agriculture, culture, and tourism endeavors. Such measures are proposed to ensure the harmonized and sustainable development of the regional ecological economy.
Keyword :
China China GEE platform GEE platform Geo-informatic Tupu Geo-informatic Tupu key driving forces key driving forces land-use transitions land-use transitions spatial-temporal variation spatial-temporal variation Tupu units Tupu units
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| GB/T 7714 | Peng, Qingxia , Wu, Dongqing , Lin, Wenxiong et al. Land-Use Transitions and Its Driving Mechanism Analysis in Putian City, China, during 2000-2020 [J]. | SUSTAINABILITY , 2024 , 16 (9) . |
| MLA | Peng, Qingxia et al. "Land-Use Transitions and Its Driving Mechanism Analysis in Putian City, China, during 2000-2020" . | SUSTAINABILITY 16 . 9 (2024) . |
| APA | Peng, Qingxia , Wu, Dongqing , Lin, Wenxiong , Fan, Shuisheng , Su, Kai . Land-Use Transitions and Its Driving Mechanism Analysis in Putian City, China, during 2000-2020 . | SUSTAINABILITY , 2024 , 16 (9) . |
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The construction of tourist towns is an important aspect of new-type urbanization construction. In this study, 155 tourist towns in Fujian Province were selected as samples to analyze spatiotemporal differentiation using the geographical concentration index, nearest neighbor index, and local correlation index. Then, a geographic detector model was used to detect the factors that influence the spatiotemporal differentiation of tourist towns and to analyze the explanatory power and interaction of these detection factors. Finally, the mechanisms underlying the detection factors were discussed. Factors affecting the spatiotemporal differentiation of tourist towns in Fujian Province were core factors of traffic network, level of urbanization and population distribution; important factors of industrial structure and socioeconomic basis; and a fundamental factor of policy guidance. These six factors interacted to jointly affect the spatiotemporal differentiation of tourist towns in Fujian Province. The results of this study can provide a basis for the development of tourist towns in other similar regions and have reference value for better optimizing the pattern of urban and town systems and coordinating the synergistic development of urban and rural areas.
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| GB/T 7714 | Lin, Xiuzhi , Zheng, Qiuqin , Su, Kai et al. Mechanisms influencing spatiotemporal differentiation of tourist towns based on geographic detector: A case study of Fujian Province [J]. | PLOS ONE , 2024 , 19 (4) . |
| MLA | Lin, Xiuzhi et al. "Mechanisms influencing spatiotemporal differentiation of tourist towns based on geographic detector: A case study of Fujian Province" . | PLOS ONE 19 . 4 (2024) . |
| APA | Lin, Xiuzhi , Zheng, Qiuqin , Su, Kai , Chen, Qiuhua . Mechanisms influencing spatiotemporal differentiation of tourist towns based on geographic detector: A case study of Fujian Province . | PLOS ONE , 2024 , 19 (4) . |
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为提高摩擦纳米发电机的输出性能,选用茶叶加工过程中产生的副产品作为材料,系统研究其颗粒目数大小对茶材料基摩擦纳米发电机输出性能的影响.实验结果表明,摩擦纳米发电机的电输出性能随着茶粉颗粒目数提高而提高,当茶粉目数为400目时,其开路电压、短路电流和输出功率分别达到275 V、9μA和459.51μW,且在10 MΩ阻抗下的输出功率密度可达45.951 mW·m~(-2).此外,所制备的摩擦纳米发电机可点亮120颗商业LED灯,并且具有良好的电容充电能力,在电子设备和无线传感器供电方面的实际应用也展示了良好效果.
Keyword :
废弃茶叶 废弃茶叶 摩擦纳米发电机 摩擦纳米发电机 电输出性能 电输出性能 绿色能源收集 绿色能源收集
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| GB/T 7714 | 王未名 , 林东艺 , 王丹海 et al. 废弃茶叶基摩擦纳米发电机开发及其应用 [J]. | 宁德师范学院学报(自然科学版) , 2024 , 36 (01) : 92-98 . |
| MLA | 王未名 et al. "废弃茶叶基摩擦纳米发电机开发及其应用" . | 宁德师范学院学报(自然科学版) 36 . 01 (2024) : 92-98 . |
| APA | 王未名 , 林东艺 , 王丹海 , 李慧群 , 刘春华 , 苏凯 . 废弃茶叶基摩擦纳米发电机开发及其应用 . | 宁德师范学院学报(自然科学版) , 2024 , 36 (01) , 92-98 . |
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研究旨在探讨白茶枸杞复合凝胶软糖的最优配方,并对其特性进行评价。以感官评分为指标,采用单因素和响应曲面试验,研究复合凝胶添加量、速溶白茶粉添加量、枸杞粉添加量、赤藓糖醇添加量对白茶凝胶软糖的感官和物理品质的影响,从而得出最优工艺配方;在此基础上,检测该工艺配方所制软糖的感官品质、物理性质以及抗氧化能力。白茶枸杞复合凝胶软糖的最优工艺配方为复合凝胶(明胶∶卡拉胶=7∶3)添加量15 g,速溶白茶粉添加量0.3 g,枸杞粉添加量1 g,赤藓糖醇添加量13 g、柠檬酸添加量0.1 g。该条件下制得的白茶凝胶软糖感官评分为85.4分,产品色泽均匀,口感协调,兼具白茶和枸杞风味;其物理性状为:弹性0.97±0.01、硬度(1 934.81±69.27) g、咀嚼性1 623.16±171.80;产品的1,1-二苯基-2-苦基肼(DPPH)自由基清除率和总抗氧化能力(T-AOC)分别为(51.86±1.67)%和(0.014±0.002) mmol/g。结果表明优化后的软糖感官色泽、形态、风味、组织均表现较好,物理性状弹性、硬度、咀嚼性较为理想,配方中含白茶和枸杞成分使其具备一定抗氧化能力。本研究可为白茶和枸杞的深度开发和茶在软糖食品方面的应用提供一定的参考。
Keyword :
响应曲面法 响应曲面法 抗氧化活性 抗氧化活性 枸杞 枸杞 质构 质构 软糖 软糖 速溶白茶粉 速溶白茶粉
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| GB/T 7714 | 王未名 , 李佳音 , 苏淑颖 et al. 白茶枸杞复合凝胶软糖配方优化及特性评价 [J]. | 中国茶叶 , 2024 , 46 (07) : 17-24 . |
| MLA | 王未名 et al. "白茶枸杞复合凝胶软糖配方优化及特性评价" . | 中国茶叶 46 . 07 (2024) : 17-24 . |
| APA | 王未名 , 李佳音 , 苏淑颖 , 黄艳 , 毛宇源 , 陈水吉 et al. 白茶枸杞复合凝胶软糖配方优化及特性评价 . | 中国茶叶 , 2024 , 46 (07) , 17-24 . |
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The harmonious development of the ecological environment and the economy is extremely important to achieve regional ecological construction and sustainable development. To properly assess the status of the harmonious development of the ecosystem and the economy, this study constructed an improved ecosystem services value (ESV) and eco-economic harmony (EEH) model to analyze the coordination relationships between the ecosystem and the economy in this region, based on Landsat TM/OLI data of Anxi County in 1999, 2009, and 2019. The results were as follows. (1) Significant changes in land- use occurred in Anxi County between 1999 and 2019. While grassland, cultivated land, and water bodies decreased by 22.91%, 36.82%, and 8.18%, respectively, other land-use types expanded including construction land (206.10%), garden land (56.39%), forest land (10.37%), and unutilized land (90.43%). (2) The ESV decreased by CNY 41.02 billion during this period, with the largest contribution from forest land and the most important service function being regulating services, and mountainous townships made a great contribution to the total ESV. (3) The eco-economic system of Anxi County was at an inharmonic level. The evaluation model produced more favorable results, especially at the township scale, which is highly sensitive to economic policy. This can provide scientific evidence for inter-regional ecological compensation and sustainable development while providing reference and inspiration for similar areas around the world to carry out relevant research.
Keyword :
eco-economic harmony eco-economic harmony eco-economic system eco-economic system ecological value ecological value ecosystem services ecosystem services equivalent factor equivalent factor land-use change land-use change
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| GB/T 7714 | Hong, Xiaoyan , Peng, Qingxia , Zheng, Rongrong et al. Evaluating the Spatial Evolution of the Eco-Economy Harmony in Anxi County, China, Based on Ecosystem Services Value [J]. | SUSTAINABILITY , 2024 , 16 (4) . |
| MLA | Hong, Xiaoyan et al. "Evaluating the Spatial Evolution of the Eco-Economy Harmony in Anxi County, China, Based on Ecosystem Services Value" . | SUSTAINABILITY 16 . 4 (2024) . |
| APA | Hong, Xiaoyan , Peng, Qingxia , Zheng, Rongrong , Lin, Wenxiong , Fan, Shuisheng , Su, Kai . Evaluating the Spatial Evolution of the Eco-Economy Harmony in Anxi County, China, Based on Ecosystem Services Value . | SUSTAINABILITY , 2024 , 16 (4) . |
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