工业工程最新文献

{"title":"[Realizing Green Synergistic Development in the Yangtze River Economic Belt： A Quantitative Analysis Based on the Synergistic Effect of Regional Reduction of Pollution and Carbon Emissions].","authors":"Chang-Xin Wang, Xiang-Jian Zhang, Xin-Yan Lian","doi":"10.13227/j.hjkx.202404220","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404220","url":null,"abstract":"<p><p>Making coordinated efforts to reduce pollution and carbon emissions is not only an effective way to cope with climate change and solve the pollution problem but also the primary tool to promote comprehensive green transformation. Based on synergistic theory and the concept of green development， this study systematically considers the synergistic effects of various elements across economic， resource， and environmental dimensions. It constructs an Economic Resource-Pollution Reduction-Carbon Reduction index system to quantitatively assess the synergistic effects of pollution and carbon reduction in the Yangtze River Economic Belt. Utilizing empirical data from multiple levels， including the Belt as a whole， regions， and cities， the study analyzes the synergistic development of regional reduction of pollution and carbon emissions and proposes future paths and effective solutions for the synergistic development of pollution and carbon reduction. The results showed that： the process of synergistic development of pollution and carbon reductions in the Yangtze River Economic Belt started to show good development in 2017 and reached a medium level of synergism in 2020. The upper， middle， and lower reaches of the Yangtze River Basin have achieved significant progress in ecological protection and high-quality development， which was closely linked to national policies and regional strategies. At the urban level of the Yangtze River Economic Belt， the synergy of pollution and carbon reductions in each city from 2006 to 2021 generally exhibited a U-shaped development trend over time， showing a \"high-low\" two-gradient spatial distribution pattern from east to west. The practice of \"ecological priority and green development\" of the Yangtze River Economic Belt has demonstrated to the world that low-carbon development and green development can become a new engine for economic growth and ultimately achieve a win-win situation for the economy， society， and the environment.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4186-4197"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Spatio-temporal Evolution Characteristics and Driving Mechanisms of Urban Ecological Resilience in the Yangtze River Economic Belt].","authors":"Fang-Yuan Lu, Chen Zhang, Tian-Yu Jia, Zhen-Fang Huang, Min Xu","doi":"10.13227/j.hjkx.202407165","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407165","url":null,"abstract":"<p><p>As key drivers of economic development and ecological governance， cities play a pivotal role in regional development. However， rapid industrialization and urbanization have brought challenges such as ecological degradation and resource shortages. Enhancing urban ecological resilience is crucial to addressing these issues. One effective approach is constructing ecological resilience assessment models. This study develops an urban ecological resilience assessment model for the Yangtze River Economic Belt， focusing on \"evolutionary resilience\" and based on the \"resistance-adaptability-recovery\" dimensions. The model assesses urban ecological resilience from 2006 to 2020. Utilizing the geographically and temporally weighted regression （GTWR） model， the study identifies the primary drivers of ecological resilience and examines their mechanisms. Key findings include： ① From 2006 to 2020， the average urban ecological resilience in the Yangtze River Economic Belt increased overall， with significant regional disparities， there was a notably better performance in downstream areas compared with that in the midstream and upstream regions. ② There was a general trend of progression from lower to higher levels of urban ecological resilience， with major cities， including municipalities and provincial capitals， showing strong core polarization effects in regional development. However， many areas still exhibited low or lower levels of resilience， indicating significant room for improvement. ③ The spatiotemporal evolution of urban ecological resilience in the Yangtze River Economic Belt was influenced by multiple factors， with notable contributions from technological investment， foreign trade openness， and economic level.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4592-4601"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Synergistic Effects of Pollution and Carbon Emission Reductions in a Digital Economy： A Case Study of the Yangtze River Delta Urban Agglomeration].","authors":"Fei-Fei Tan, Chen-Xiao Yan","doi":"10.13227/j.hjkx.202406127","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406127","url":null,"abstract":"<p><p>In the era of big data and artificial intelligence， the digital economy has become a key focus for driving the shift in economic dynamics in China. It also serves as an important means to achieve the goals of \"carbon peak and carbon neutrality.\" By selecting urban panel data from the Yangtze River Delta urban agglomeration from 2011 to 2022 and focusing on the development of the digital economy， this study analyzes the spatiotemporal evolution of the level of synergistic effects in pollution reduction and carbon reduction. A multivariate linear regression model is used to assess the impact and mechanisms of digital economic development on the synergistic effects of pollution reduction and carbon reduction. The results showed the following： ① The digital economy of the Yangtze River Delta urban agglomeration exhibited a coordinated development trend； meanwhile， the overall synergistic development of pollution and carbon reductions maintained a fluctuating upward trend， and the gap between cities in terms of digital economy and synergistic development levels was narrowing. ② During the sampling period， the development of the digital economy and regional synergistic governance of pollution reduction and carbon reduction had an inverted \"U-shaped\" relationship， and this result remained valid after a series of robustness tests. ③ The digital economy mainly functioned through promoting energy utilization efficiency， optimizing energy consumption structure， expanding the scale of environmental investment， and advancing green technology. ④ The empirical results showed significant differences due to varying levels of talent resources， urban scale， and economic development.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4175-4185"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Response of Land Use Change to Ecological Environment Effect in Anhui Province Under Urban Expansion].","authors":"Xue-Jian Sun, Guo-Dong Li, Xiao-Juan Ren, Man Zhang, Jing-Yu Wang, Qing-Tao Zhao, Peng-Fei Li","doi":"10.13227/j.hjkx.202405235","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405235","url":null,"abstract":"<p><p>The dynamic alterations in land utilization patterns within swiftly urbanizing regions significantly influence the ecological environmental quality. Investigating these land use transformations and their implications for ecological integrity can furnish essential theoretical underpinnings and a foundation for decision-making aimed at fostering sustainable and high-quality growth in rapidly urbanizing areas. Anhui Province was chosen as the research locale， with CLCD data （1990-2020） employed to delineate land use modifications. Concurrently， a remote sensing ecological index （RSEI） was developed utilizing MODIS remote sensing satellite data to examine the interplay between land use transitions and ecological environmental quality responses during the period of accelerated urban expansion from 2000 to 2020. The findings indicate that： ① Amidst rapid urbanization， the expanse of construction land in the Anhui Province exhibited an ascending trajectory over the three-decade interval from 1990 to 2020， with the land use transformation schema predominantly marked by early-stage and late-stage alterations. The composite index of land use intensity across various cities manifested a declining trend. ② The overall ecological environmental quality in the Anhui Province progressively enhanced， with the extent of the ecological enhancement zone surpassing that of the ecological deterioration zone. ③ The enhancement or deterioration of ecological environmental quality was intimately correlated with variations in regional land use categories， demonstrating pronounced spatial heterogeneity. ④ The outcomes of single-factor analysis revealed that land use modifications in the Anhui Province were predominantly swayed by socio-economic dynamics. Interactive factor analysis suggested that the synergy between natural and socio-economic factors yielded effects of superposition or mutual reinforcement. This study underscores that a judicious realignment of land use structures is instrumental in preserving or even enhancing regional ecological environmental quality. The prudent exploitation and utilization of land resources should weigh both natural and socio-economic factors， with particular emphasis on the pivotal role of socio-economic factors in the metamorphosis and evolution of land use.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4510-4521"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Spatial-temporal Evolution and Regional Differences of Synergistic Effect of Green and Low-carbon Energy Transformation and Pollution Reduction and Carbon Reduction in the Yangtze River Economic Belt].","authors":"Wen-Ting Xing, Ming-Zhu Liu, Li-Juan Li","doi":"10.13227/j.hjkx.202406158","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406158","url":null,"abstract":"<p><p>The synergistic enhancement of pollution and carbon reductions serves as a primary lever for promoting the comprehensive green transformation of economic and social development， with energy being a crucial battleground for this green transition. In this study， we conduct an in-depth exploration of the strategic implications of green and low-carbon energy transition and pollution and carbon reductions. We construct an evaluation index system for green and low-carbon energy transition and pollution and carbon reductions. We employ a combination of the entropy weight method， Kernel density estimation， composite system synergy model， Theil index， and spatial Markov chain methods to empirically analyze the regional disparities and dynamic evolutionary characteristics of the synergistic effects of green and low-carbon energy transition and pollution and carbon reductions in the Yangtze River Economic Belt from 2010 to 2022. The results indicated that： ① Both the green and low-carbon energy transition index and the pollution and carbon reduction index have shown a steady growth trend， with the gap in green and low-carbon energy transition levels among provinces gradually widening， while the gap in pollution and carbon reduction levels first narrowed and then widened. ② The level of synergistic development between the green and low-carbon energy transition and pollution and carbon reductions significantly increased， with the overall coordination level demonstrating a dynamic process from mild incoordination to mild coordination and then to moderate coordination and a spatial distribution situation of \"high on both sides， low in the middle\" gradually emerging regionally. ③ The overall disparity in synergistic levels first rose and then fell， with the contribution rate showing that before 2017， it was mainly due to differences within regions， and after 2018 it was mainly due to differences between regions. The overall difference values by region were as follows： midstream areas &gt; upstream areas &gt; downstream areas. ④ The probability of upward transition was highest for low synergy levels， followed by moderate synergy levels； considering the impact of spatial neighborhood factors， neighborhoods with low synergy levels could hinder the development of local synergy types to some extent， while neighborhoods with higher synergy levels could have a pulling effect on the local area. Finally， some suggestions are put forward， such as increasing the policy inclination and technical support for areas with a low level of synergy and strengthening the radiation demonstration role of areas with high level of synergy.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4198-4210"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Changes in Ecosystem Services and Equity Identification in Nanchang Under the Influence of Construction Land Expansion].","authors":"Song-Kai Luo, Zhi-Jun Luo, Xiao-Fang Yang, Feng-Chang Zhang, Ying Lei","doi":"10.13227/j.hjkx.202407031","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407031","url":null,"abstract":"&lt;p&gt;&lt;p&gt;The expansion of construction land and the changes in ecosystem services and their interactions are a major factors affecting urban development and ecological protection. Using spatial econometric models， this study explores the spatial interaction between the expansion of urban land for construction and ecosystem services and tests the existence of a correlation between the two. In this context， the study identifies and measures the levels of ecological equity and expansion efficiency for each township in the study area. This has significant implication on the comprehensive management and control of urban development and ecological protection in the study area. By quantifying the number and pattern of construction land expansion in Nanchang from 2000 to 2020， this study uses the InVEST model to comprehensively estimate water production， carbon storage， soil conservation， habitat quality， etc.， and ecosystem services. Furthermore， it uses the spatial lag model （SLM） and spatial error model （SEM） to conduct a regression analysis of the mutual relationship between the two. Finally， it uses the fair efficiency index to identify the ecological equity of towns and townships in the study area. The results showed that： ① The expansion of construction land in Nanchang from 2000 to 2020 has gradually shifted to a predominant expansion mode of \"fly-in\" expansion， while the central urban area has maintained a predominant expansion mode of \"filling-in.\" At the same time， the comprehensive ecosystem services in the entire region showed an upward trend， but the ecosystem services in the central urban area declined significantly. ② There was a clear spatial spillover effect of land use expansion and ecosystem service changes from 2000 to 2020. The change in ecosystem services of one area was not only significantly affected by the local land use expansion but also by the expansion of adjacent areas. The impact of land use expansion on the change of different types of ecosystem services was different， with a more significant impact on water production and habitat quality but a weaker or non-significant impact on carbon storage and soil conservation. The shift in the expansion pattern of cities increased the intensity of the impact of urban expansion on the comprehensive change of ecosystem services. ③ The coordination of ecological equity and expansion efficiency in each township of Nanchang improved significantly from 2000 to 2020. The total difference in ecological equity index has decreased from 0.378 4 to 0.080 5， and significant progress has been made in the development and protection of ecology in each township. The regional ecological equity showed an optimizing trend， but there are still some areas that pay more attention to the efficiency of expansion and ignore the protection of the ecological environment. Therefore， the research results suggest that urban development should adhere to a multi-factor， multi-dimensional comprehensive consideration； ","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4641-4656"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Estimation of Carbon Storage and Economic Value of Ningdong Energy and Chemical Base Based on InVEST and CA-Markov Model].","authors":"Yi-Ting Ma, Yun Shi, Cong Li, Ran-Chao Lü, Hong-Xia Li","doi":"10.13227/j.hjkx.202406102","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406102","url":null,"abstract":"<p><p>Based on the background of \"dual-carbon，\" we explore the relationship between land use patterns and carbon stock changes in national energy and chemical bases and estimate and predict the carbon stock and sink value to provide important references for improving the carbon sequestration potential of ecosystems in the industrial field to reaching the goal of \"dual-carbon.\" The Ningdong Energy and Chemical Industry Base is an important support for the industry in Northwest China， and in the context of promoting green transformation in the industrial field， this industrial base is the key to realizing carbon emission reduction scientifically and accurately. Taking theNingdong Energy and Chemical Industry Base， a national-level energy base， as the study area， the InVEST model and CA-Markov model are applied to predict and evaluate the characteristics of spatial and temporal differences in carbon stock changes in industrial bases under different scenarios in 2030. The results showed that： ① From 2000 to 2020， the construction land of the Ningdong Energy and Chemical Industry Base was characterized by a continuous and substantial increase， forest land increased and then decreased， and unutilized land increased and then decreased substantially. ② Carbon stock from 2000 to 2020 showed a trend of increasing and then decreasing， with an increase of 2.58×10⁵ t and a spatial distribution of gradual increase from the north and south to the center， and the low value of carbon stock was distributed in the north and south of the study area， corresponding to the urban development and industrial base. From 2020 to 2030， the carbon stock in the scenario of natural development and eco-protection decreased by 4.66×10⁵ t and 1.92×10⁵ t， respectively， Compared with that of the scenario of natural development， the carbon stock of the ecological protection scenario decreased by 4.66×10⁵ t and 1.92×10⁵ t， respectively. Compared with those under the natural development scenario， the eco-protection scenario restricted the expansion of construction land， increased the water area， and had a significant ecological effect. ③ The two scenarios from 2020 to 2030 increased the economic value of carbon sinks by 1 958 500 and 3 317 900 U.S. dollars， respectively. The conversion of grassland， unutilized land， and construction land due to base construction was an important factor that caused drastic changes in the regional carbon stock. The study provides a universal model for carbon stock estimation in industrial parks in Northwest China， and the conclusions can provide theoretical support for ecological regulation of industrial bases and carbon trading situations.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4416-4427"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Synergistic Effect of Building Carbon Emission in Urban Agglomeration].","authors":"Yin-Run Yang, Na Dong","doi":"10.13227/j.hjkx.202401101","DOIUrl":"https://doi.org/10.13227/j.hjkx.202401101","url":null,"abstract":"<p><p>Against the backdrop of continuous growth in urban building carbon emissions， it is crucial to utilize inter-city network relationships to achieve synergistic emission reduction. Based on the improved gravity model and social network analysis， the structural characteristics of the spatial network of building carbon emissions in the Yangtze River Delta city （YRD） agglomeration and its synergistic effect were explored. The results showed that the network had a \"core-edge\" structure， with an increasing number of network relationships and network synergy. Shanghai， Suzhou， and Wuxi were in the leading position of the network； Nantong and Maanshan were the cities with the highest closeness centrality； whereas， Nanjing had the richest connectivity. The YRD city cluster was divided into four plates， and the net beneficiary plate included economically developed cities， concentrated in the coastal region. The net spillover plate was rich in city resources， and the broker plate was responsible for information transfer between cities. The bidirectional spillover plate accelerated the flow of network relationships. The results of the study helps clarify the synergistic role positioning of the cities and provide a reference for the development of synergistic emission reduction strategies for city clusters.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4101-4109"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Analysis of Spatial and Temporal Evolution of Ecosystem Health and Its Driving Factors on the Loess Plateau].","authors":"Ya-Hui Wang, An-Zhou Zhao, Xian-Feng Liu, Wei Zhang, Xiao-Ran Han","doi":"10.13227/j.hjkx.202407135","DOIUrl":"https://doi.org/10.13227/j.hjkx.202407135","url":null,"abstract":"<p><p>The clarification of health status of a regional ecosystems and their driving factors is of great significance for promoting sustainable development. Based on the \"pressure-state-response （PSR）\" framework， the ecosystem health levels of the Loess Plateau were evaluated for the years 2000， 2005， 2010， 2015， and 2020， and the main driving factors affecting ecosystem health levels were further identified by using the spatial-temporal geographically weighted regression （GTWR） model. The following results were obtained： ① During the study period， the ecosystem health level of the Loess Plateau fluctuated upward， with the value increasing from 0.452 in 2000 to 0.464 in 2020. Areas with good ecosystem health levels were mostly distributed in the central and northeastern regions， with values greater than 0.45. Areas with poor ecosystem health levels were mostly distributed in the northwest and southeast regions， with values lower than 0.40. ② From the perspective of spatial aggregation characteristics， the ecosystem health level of the Loess Plateau exhibited significant spatial aggregation.\"H-H aggregations\"were mostly located in the central， western， and northeastern parts of the Loess Plateau， such as Xining， Yan'an， Taiyuan， and Tianshui. ③ The analysis of driving factors showed that the slope， annual average temperature， proportion of construction land， and land use intensity were the dominant factors affecting the ecosystem health of the Loess Plateau. Slope mainly drove positively， whereas annual average temperature， proportion of construction land， and land use intensity mainly drove negatively. Our results can provide a theoretical basis for the formulation of ecological protection and sustainable development policies on the Loess Plateau.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4558-4567"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Attribution Analysis of Vegetation Variation in the Karst Region of Southwest China Considering Time Lag and Accumulation Effects].","authors":"Yong-Feng Wang, Juan-Li Jing, Hai-Hong Liu, Bing-Xin Ma, Ting Zhao, Jia-Hui Sun","doi":"10.13227/j.hjkx.202406168","DOIUrl":"https://doi.org/10.13227/j.hjkx.202406168","url":null,"abstract":"<p><p>Assessing the effects of climate change and human activities on vegetation changes in the karst region of southwest China is of great significance for the sustainable development of karst ecosystems. Based on the GIMMS NDVI and SPOT NDVI fusion data， combined with precipitation and temperature meteorological station data from 1982 to 2019， the effects of climate change and human activities on vegetation changes before and after the ecological restoration projects （ERPs） were investigated by using trend analysis， partial correlation analysis， and modified residual analysis. The results showed that： ① Temporally， the trend of NDVI had shifted from a slow decrease （<i>P</i>&gt;0.05， -0.000 1 a^-1） to a significant increase （<i>P</i>&lt;0.01， 0.005 4 a^-1） before and after the implementation of ERPs. Spatially， NDVI changes were predominantly non-significant （&gt;85%） before the ERPs， while the proportion of areas with a significant upward trend was more than 75% after the ERPs. The same changing trend in different karst landform subregions occurred but showed spatial heterogeneity. ② Before and after the implementation of ERPs， precipitation showed obvious accumulative and time lag-accumulative effects on the changes of NDVI， while temperature showed accumulative and time-lag effects in most areas. Vegetation growth was sensitive to precipitation and temperature changes during the previous one to three months in most areas， while it was significantly affected by the temperature of the current month in the northeast. There was a significant difference in the time-lag and accumulative effects of precipitation and temperature on NDVI in different karstic subregions. ③ Climate change and human activities were the main driving factors affecting NDVI changes in the karst region of southwest China， and the impact of human activities on NDVI shifted from negative to positive after the implementation of ERPs. The relative contribution of climate change on NDVI decreased （38.19%→20.65%）， while the human activities on NDVI were significantly enhanced （61.81%→79.35%） after the implementation of ERPs， indicating that human activities had a significant impact on the vegetation restoration in the karst region of southwest China. This study revealed the characteristics and attributions of NDVI changes before and after the ERPs， which could provide a scientific basis for ecological environment monitoring and regional sustainable development in the southwest karst area of China．.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 7","pages":"4382-4391"},"PeriodicalIF":0.0,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144660509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}