环境科学最新文献

{"title":"[Spatial-temporal Evolution of Landscape Ecological Risk and Driving Forces in the Plateau Lake Basin of Northwest Yunnan].","authors":"Shu Wang, Feng-Lian Liu, Wen-Jiao Du, Qing-Hong Wang","doi":"10.13227/j.hjkx.202405125","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405125","url":null,"abstract":"<p><p>Scientific assessment of landscape ecological risks and identification of driving factors in the plateau lake basin of Northwest Yunnan are the key to prevent and resolve ecological risks and protect basin ecosystems. The plateau lake basin of Northwest Yunnan, which is ecologically sensitive and vulnerable and facing the ecological threat of unreasonable development, was selected as the research area. Based on land use data, the spatial-temporal evolution characteristics of landscape ecological risks in the plateau lake basin of Northwest Yunnan in the past 15 years were analyzed, and the driving factors were identified from the whole and local areas with geographical detectors. The results show that： ① The main land use types in the plateau lake basin of Northwest Yunnan were farmland, woodland, and grassland, and there were several mutual transformations among them. ② From 2005 to 2020, the landscape ecological risks in the study area were mainly medium risk, low-medium risk, and medium-high risk, and the high risk area accounted for a relatively small proportion. The high risk areas were mainly concentrated in the south of the basin, the medium-high risk areas were mainly distributed around the high risk areas, the low-medium risk areas were mainly distributed around the Lugu Lake, the southwest of Chenghai Lake, and the northwest of Erhai Lake. Most of the change of risk grade was the transformation of adjacent grade. ③ Locally, the towns with a high risk area accounting for more than 50% were mainly distributed around Erhai Lake and Chenghai Lake. ④ The evolution of landscape ecological risk was influenced by several factors, among which natural factors were the most important, and the interaction between most of the factors continued to improve with the passage of time. Locally, elevation and average annual temperature were important factors affecting the evolution of regional landscape ecological risk.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"3114-3126"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102447","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":"[Use of Machine Learning Methods to Identify Soil Parent Materials in a High-cadmium Geological Background Area].","authors":"Cheng Li, Zhong-Fang Yang, Qi-Zuan Zhang, Guo-Dong Zheng, Zhong-Cheng Jiang, Shao-Hua Liu, Ye-Yu Yang, Hang Li","doi":"10.13227/j.hjkx.202405183","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405183","url":null,"abstract":"<p><p>Recently, the characteristics of high Cd content and low Cd mobility in karstic soil of a high geological background area in south China have received extensive attention. Parent material type is crucial for understanding soil Cd geochemical behavior and identifying soil ecological risk. However, the southern tropical climate leads to fewer rock outcrops, and it is difficult to obtain accurate parent material information. The aim of this study was to identify the main soil parameters that control the spatial distribution of lithology and affect soil Cd activity and ultimately uses these characteristics and machine learning methods to predict different soil parent materials in the high geological background area. In total, 5 096, 5 602, and 1 653 surface soil samples were collected from the carbonate rock, clasolite, and quaternary sediment regions, respectively. Hot spot analysis and the sequential extraction test showed that the spatial distribution patterns of soil properties and Cd were controlled by the underlying bedrock, and the ecological risk of soil Cd in the non-karst region was significantly higher than that in the karst region. Correlation analysis and importance analysis indicated that the content and mobility of Cd in the high geological background were mainly controlled by Fe/Mn oxides, total organic carbon （TOC）, CaO, and pH. Based on the big data of surface soil samples, the soil parent materials were then predicted using artificial neural network （ANN）, random forest （RF）, and support vector machine （SVM） models. The RF model had higher Kappa coefficients and overall accuracies than those of the ANN and SVM models, suggesting that RF has the potential to predict soil parent materials from big data, which provides a new idea and method for mapping lithology distribution and identifying soil Cd ecological risk in high background areas.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"3261-3271"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102825","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":"[Volatile Organic Compounds Emission Characters Based on Business Operations of the Vehicle Repairing Industry in Beijing].","authors":"Cheng-Yi Sun, Bao Jiang, Xiao-Hui Hua, Run Hao, Ya-Ling Wang, Hai-Lin Wang","doi":"10.13227/j.hjkx.202404069","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404069","url":null,"abstract":"<p><p>The vehicle repair industry is an important source of volatile organic compound （VOCs） emissions in Beijing. Currently, research on VOCs emissions from the auto repair industry focuses only on organized emissions from spray painting booths and research has not been carried out on the emission characteristics of VOCs in sheet metal, machine repair, and beauty processes. A comprehensive list of VOCs emissions from the entire production process of the auto repair industry lacks. This study selected all 137 auto repair businesses in two districts of Beijing for field investigation. Through activity level research, VOCs content testing of raw and auxiliary materials, and testing of the efficiency of governance facilities, we obtained VOCs emission factors for sheet metal spray painting and machine repair processes （<i>E</i>_Painting=254 g·car^-1, <i>E</i>_Maintain=237 g·car^-1）. Through cluster analysis, we obtained five different types of auto repair businesses and calculated their annual VOCs emissions per store （cluster Ⅰ 0.07 t, cluster Ⅱ 0.36 t, cluster Ⅲ 1.59 t, cluster Ⅳ 0.83 t, and cluster Ⅴ 2.54 t）. The study revealed that sheet metal spray painting remains an important source of VOCs emissions. Given the high number of machine repair vehicles, the total VOCs emissions from the machine repair process cannot be ignored. The 4S stores （cluster Ⅲ to cluster Ⅴ） and franchise stores （cluster Ⅱ） had higher activity levels.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"2665-2672"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102827","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":"[Water Resource Conservation and Intensive Utilization Capability of Cities in the Middle and Lower Reaches of the Yellow River Basin].","authors":"Rong-Qing Gan, Ling-Wu Zeng, Yuan Chen, De-Zhi Sun","doi":"10.13227/j.hjkx.202404124","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404124","url":null,"abstract":"<p><p>This evaluation index system was constructed from three aspects of water resources, socio-economics, and ecological environment, using the entropy weight method and TOPSIS model to comprehensively evaluate the water resources saving and intensive utilization capacity of 29 cities in the middle and lower reaches of the Yellow River Basin from 2017 to 2021 and identifies the main factors that constrain the improvement of the water resources saving and intensive utilization capacity of the cities in the study area through the diagnostic model for the obstacle factors. The results showed that the capacity of 29 cities to conserve and intensively utilize water resources was generally in the \"poor\" grade but also showed a fluctuating trend of growth； the main factors affecting the capacity of cities to conserve and intensively utilize water resources were per capita water resources, effective irrigated area of farmland, utilization of reclaimed water, per capita daily water consumption for daily use, and the proportion of water used for agricultural purposes. Based on the above findings, measures to enhance the capacity of water conservation and intensive utilization of 29 cities are proposed.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"2816-2827"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102831","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":"[Carbon Peaking Pathways in the Field of Energy Activities in Shanxi Province Based on the LEAP model].","authors":"Jing-di Jia, Fei Wang, Yuan-Yuan Zhang, Huai-Gang Cheng, Hai-Bin Wu, Yang-Yan Gao","doi":"10.13227/j.hjkx.202403232","DOIUrl":"https://doi.org/10.13227/j.hjkx.202403232","url":null,"abstract":"<p><p>Under the background of the \"dual carbon\" goal, Shanxi Province must crucially simulate the carbon peak path of energy activities in Shanxi Province and carry out provincial-level emission reduction measures and policy research, which is in the stage of evolution of resource-based economy. Taking the carbon emissions of energy activities in Shanxi Province as the accounting scope, the LEAP model was established in 2020 as the base year and on this basis, the carbon emissions of Shanxi Province were simulated and calculated to 2060 and its dynamic evolution trend over the next 40 years was simulated. Under the baseline scenario, Shanxi Province may find it difficult to peak carbon emissions before 2030. Under the synchronous peak scenario, the total energy consumption （in terms of standard coal） may be 411.26 million tons in 2030 and the carbon emissions （in terms of CO₂） may reach the peak of carbon emissions and under the leading peak scenario, the carbon peak time will be advanced to 2028, when the total energy consumption is expected to be 399.03 million tons, and carbon emissions will reach 675.22 million tons. In addition, under the baseline scenario, achieving the goal of peaking energy intensity per unit of GDP and carbon emission intensity per unit of GDP as scheduled will be difficult； however, measures, such as adopting more energy-efficient equipment and technologies, actively promoting the development of renewable energy, and reducing dependence on fossil fuels can effectively reduce energy consumption and carbon emissions. In both the simultaneous and leading peak scenarios, the binding targets set in the 14th Five-Year Plan can be successfully achieved, demonstrating that Shanxi Province has the ability and potential to achieve the set goals on the road of actively responding to climate change and promoting green development. To achieve this goal, Shanxi Province needs to further strengthen policy guidance and market mechanism construction, encourage enterprises, and all sectors of society to actively participate in the process of energy consumption and transformation. In particular, investment and research and development in renewable energy must be increased； the innovation and application of clean energy technologies, promoted； and the construction of a new power system with new energy as the main body, accelerated. Simultaneously, strengthening the optimization and adjustment of the energy consumption structure and promoting the transformation of energy consumption to a green and low-carbon direction are necessary.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"2837-2851"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102862","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":"[Effect of Polyvinyl Chloride Microplastics on the Growth and Physiology Characteristics of Strawberry].","authors":"Bing-Qing Zhu, Ying Chen, Yue Pan, Wei Liu, Shui Wang","doi":"10.13227/j.hjkx.202405311","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405311","url":null,"abstract":"<p><p>In recent years, there has been an increasing number of reports on the environmental impact caused by the accumulation of microplastics in soil. However, there is limited research on the comprehensive effects of microplastics on the physiology, growth, soil characteristics, enzymes, and nutrients throughout the entire lifecycle of plants. To investigate the influence of soil microplastics on strawberry growth, the effects of different particle sizes and concentrations of polyvinyl chloride microplastics （PVC-MPs） on the germination rate and germination time of strawberry seeds, as well as physiological indicators and the physicochemical properties of the soil during strawberry growth, were elucidated through germination experiments and pot experiments. The results indicated that the addition of PVC-MPs led to a 4%-12% decrease in strawberry seed germination rate and delayed germination time. PVC-MPs may have caused oxidative stress in strawberries, reducing chlorophyll content in leaves, stimulating the release of superoxide dismutase （SOD） and peroxidase （POD） in the antioxidant defense system of plants and reducing cell damage. The addition of 5% PVC-MPs significantly inhibited the activity of <i>β</i>-glucosidase （BG） and leucine aminopeptidase （LAP） in the soil while enhancing the activity of <i>β</i>-1,4-<i>N</i>-acetylglucosaminidase （NAG） and acid phosphatase （ACP）. The addition of high concentrations of PVC-MPs increased soil porosity and reduced the content of available phosphorus （AP） and the content of soil organic carbon （SOC）, which decreased by 39.3-48.9 g·kg^-1 compared with that in the control group. The content of nitrate nitrogen （NO₃^－-N） of the treatment adding 5% 20 μm decreased by 52%, and the content of ammonium nitrogen （NH₄⁺-N） increased by 50%. These results indicate that PVC-MPs can alter soil structure, affect soil nutrients, and have a certain interference effect on strawberry growth and development. The research results can provide a reference basis for evaluating the ecological risk of PVC-MPs.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"3179-3188"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102474","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":"[Effects of Different Climatic Conditions on Vegetation-soil Coordination Relationship in Inner Mongolian Grasslands].","authors":"Xing-Hui Chen, Sheng-Wei Zhang, Xing-Yu Zhao, Shuai Wang, Qian Zhang, Sheng-Wei Lü","doi":"10.13227/j.hjkx.202405025","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405025","url":null,"abstract":"<p><p>Climate change and human activities are key factors in grassland degradation. The trend of grassland degradation has improved with the development of grassland conservation policies and the increase in the awareness of conservation； however, the mechanism of climate change remains unclear. The typical grassland of Inner Mongolia was used as the study area, and 19 typical sample plots were selected from east to west, and eight different climate change regions were divided according to the distribution of temperature and precipitation, which were mean annual rainfall （MAP）： 100-200 mm and mean annual temperature （MAT）： 2-4℃； MAP： 200-300 mm MAT： 0-2, 2-4, and 4-6℃； and MAP： 300-400 mm MAT： 0-2, 2-4, 4-6, and 6-8℃. Through the measured vegetation and soil characteristics in 2022 and 2023 and analyzing their changing rules, an evaluation index system consisting of six vegetation factors and four soil factors was established to analyze the impact of different climate zones on grassland vegetation-soil. The results showed that in different climate zones, except for the total nitrogen of soil factor in 2022, significant differences were present in the vegetation and soil factors. In 2022, total soil nitrogen and Shannon-Wiener diversity index, richness index, and cover were significantly and positively correlated （<i>P</i>&lt;0.05）, and in 2023, evenness index and soil water content, soil pH, soil organic carbon, and total soil nitrogen were significantly correlated （<i>P</i>&lt;0.05）. In two years, the coupling and coordination relationship of vegetation-soil in MAP： 300-400 mm and MAT： 0-2℃ climate zones was relatively good but also belonged to the endangered dysfunctional development mode, whereas all other climate zones were in the mild or moderate dysfunctional development modes. By studying the law of climate change on vegetation-soil coupling, we can not only provide scientific and accurate theoretical basis for grassland restoration and management but also predict the potential impact of future climate change on grassland ecosystems, so as to formulate countermeasures in advance.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"3033-3041"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102483","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 and Driving Forces of Transportation Carbon Emissions in Jiangxi, Fujian, and Guangdong Regions].","authors":"Lan-Yi Zhang, Da-Wei Weng, Shuo Wang, Yi-Nuo Xu, Cui-Yun Luo, Xi-Sheng Hu, Zhou-Xuan Lu","doi":"10.13227/j.hjkx.202404215","DOIUrl":"https://doi.org/10.13227/j.hjkx.202404215","url":null,"abstract":"<p><p>The Jiangxi, Fujian, and Guangdong regions are located close to the southeast coastal area and serve as the hinterland for the Pearl River Delta； Yangtze River Delta； and Guangdong, Fujian, and Zhejiang regions. With the rapid economic development and urbanization in Jiangxi, Fujian, and Guangdong, transportation-related high carbon emissions have become increasingly prominent. The 14th Five-Year Plan proposes to deepen the implementation of the regional coordinated development strategy and improve the mechanism for regional coordination. Academic research and policy attention have long focused on economically developed regions, such as the Yangtze River Delta, Pearl River Delta, and Beijing-Tianjin-Hebei Region. The economic development models and mechanisms in these regions have been extensively studied and validated. However, the Jiangxi, Fujian, and Guangdong regions exhibit characteristics of uneven economic development, with both economically developed areas, such as Guangdong Province and relatively underdeveloped inland regions like Jiangxi Province. Research on the Jiangxi, Fujian, and Guangdong regions could contribute to a comprehensive understanding of the diversity and imbalance in regional economic development, providing references for other underdeveloped areas. Therefore, facing challenges of spatial-temporal differences in transportation carbon emissions in Jiangxi, Fujian, and Guangdong regions with unclear driving forces, this study introduces standard deviation ellipse analysis to explore the spatial distribution characteristics of transportation carbon emissions （2009-2021）. Additionally, logarithmic mean divisia index （LMDI） and multi-regional spatial decomposition （M-R） models are constructed to explore temporal-spatial drivers contributing towards spatial differentiation of carbon emissions. The findings are revealed below： ① The total traffic-related carbon emissions within the Jiangxi, Fujian, and Guangdong regions have been increasing annually and continue to shift toward the \"northeast-southwest\" direction, with the epicenter of carbon emission lying at the border between the Guangdong and Fujian provinces. ② The level of economic development and population size were the main driving factors for transportation carbon emissions, whereas energy intensity was a key restraining factor. ③ Notable spatial disparities existed between carbon emissions and average levels across the three provinces. The research findings can offer crucial insights for formulating tailored emission reduction policies and collaborative governance measures in the regions of Jiangxi, Fujian, and Guangdong.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"2886-2896"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102484","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 Land Carbon Metabolism in Ningbo Based on Ecological Network Utility].","authors":"Li Li, Xiao-Ping Zhou, Ying Liang, Lan Yang","doi":"10.13227/j.hjkx.202405202","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405202","url":null,"abstract":"<p><p>This study aims to elucidate the influence mechanism of land use on carbon metabolism and provide a foundation for promoting sustainable land resource utilization and facilitating urban green low-carbon transformation. Taking Ningbo City as the primary research focus, a carbon metabolism analysis framework is formulated, leveraging multi-source data collection. This framework employs ecological network analysis, the standard deviation ellipse method, and push-pull models to trace carbon element flow processes, elucidating the spatiotemporal evolution patterns of carbon metabolism. Consequently, a strategy for mitigating land use-related carbon emissions is proposed. The key findings are as follows： ① Between 2000 and 2020, net carbon emissions （measured in carbon, C） in Ningbo increased from 4.061 2 million tons to 30.193 7 million tons, representing a 6.43-fold increase. ② Vertical net carbon emissions were negative, with all land types except woodland and grassland exhibiting negative carbon metabolism compartments, whereas woodland and grassland had positive carbon metabolism compartments. During the study period, horizontal net carbon emissions in Ningbo were negative, attributed to the conversion of cultivated and forest lands to other construction lands. ③ Predation restriction was the dominant ecological relationship, with an overall ecological function value of 0.86. Compared to that from 2000-2010, the centroid of the 2010-2020 Predation Restriction standard deviation ellipse shifted eastward by 1.47°, whereas the centroid of the Competitive Relationship ellipse rotated westward by 10.46°, accompanied by a decrease in the overall ellipse range. ④ Cultivated land, forest land, and other construction land were the main types of thrust, and other construction land and urban land were the main types of pull. In conclusion, multiple measures need to be taken to reduce the carbon metabolism density of land use while developing carbon sink enhancement strategies for ecological land classification, with the goal of optimizing the land use structure and reducing carbon and increasing sinks in territorial space.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"2934-2944"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102782","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":"[Impact of Climate Change and Human Activities on Vegetation Dynamics in Typical Lake Basins of China].","authors":"Wen-Ting Huang, Qiang-Yu Dai, Yong Xu, Yu-Xi Feng, Bin Zou, Yun-Gui Lu","doi":"10.13227/j.hjkx.202405006","DOIUrl":"https://doi.org/10.13227/j.hjkx.202405006","url":null,"abstract":"<p><p>Monitoring vegetation dynamics and isolating as well as quantifying the impacts of climate change and human activities on vegetation cover changes are crucial for providing theoretical support for maintaining regional ecological balance and scientifically planning ecological restoration. This study focuses on the Dongting, Poyang, and Taihu Lake basins. Using multi-temporal normalized difference vegetation index （NDVI） data, meteorological data, and land use data and employing methods, such as trend analysis, first-order difference multiple regression analysis, and residual analysis, this research investigates the spatiotemporal characteristics and driving mechanisms of vegetation NDVI changes in these basins from 2000 to 2022, distinguishing between natural growth areas and anthropogenic impact areas. The results indicate that from 2000 to 2022, vegetation in the Dongting, Poyang, and Taihu Lake basins, including both anthropogenic impact areas and natural growth areas, exhibited a greening trend. Overall, compared to precipitation and solar radiation, the NDVI of vegetation in the three major lake basins was more sensitive to temperature. Vegetation growth in these basins exhibited a consistently positive sensitivity to temperature, whereas it predominantly showed a negative sensitivity to precipitation. Climate change has promoted an increase in vegetation NDVI across the three lake basins. In anthropogenic impact areas, human activities predominantly drove the changes in vegetation NDVI, with the effects being bidirectional. Specifically, in the Dongting and Poyang Lake basins, human activities mainly had a positive impact on vegetation NDVI, whereas in the Taihu Lake Basin, the impact was predominantly negative.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"46 5","pages":"2987-2996"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144102821","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}