环境科学最新文献

{"title":"[Scenario Prediction of Carbon Peak in Provincial Agriculture of China Based on Machine Learning].","authors":"Jia-Xi Zheng, Yan-Wen Zeng, Yun Tian, Yi-Heng Lu","doi":"10.13227/j.hjkx.202506197","DOIUrl":"https://doi.org/10.13227/j.hjkx.202506197","url":null,"abstract":"<p><p>Accurately predicting the peak of agricultural carbon emissions and its timing is crucial for accelerating the development of an agricultural powerhouse and achieving the dual carbon goals at an early date. Based on provincial-level agricultural carbon emission data from China covering 2005 to 2023， this study employed Lasso regression models and principal component analysis to identify key factors influencing agricultural carbon emissions. Multiple machine learning prediction models were constructed， and the optimal model was selected to forecast the peak of agricultural carbon emissions. The results indicate： ① Nationally， agricultural carbon emissions showed a declining trend during the observation period； provincially， 16 provinces exhibited decreasing emissions， with Beijing demonstrating the largest reduction. ② Among five machine learning algorithms， the support vector machine model with Bayesian optimization parameter tuning under Lasso feature selection （LASSO-BO-SVR） performed best. ③ Under the baseline scenario， 23 provinces including Beijing have already achieved agricultural carbon peak， while Heilongjiang and Shaanxi are projected to peak before 2030. Conversely， Guangxi， Yunnan， Qinghai， Ningxia， and Xinjiang face challenges in meeting their peak targets on schedule. Under the policy and low-carbon scenarios， the peak levels for these five provinces declined， though the timing of peak attainment varied. This research provides decision-making references for future agricultural carbon emission reduction pathways across China's provinces.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"5950-5960"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012955","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 Distribution and Ecological Risk Assessment of Heavy Metals in Soil and Water in a Water Source Area of Guangxi].","authors":"Wu-Qiang Zhao, Jun-Liang Hu, Jian-Feng Li, Kun Li, Shun-Bo Cheng, Chao-Yang Tang","doi":"10.13227/j.hjkx.202508062","DOIUrl":"https://doi.org/10.13227/j.hjkx.202508062","url":null,"abstract":"<p><p>To investigate the issues of heavy metal pollution in soil and water， ecological risks， and pollution source identification in the water source protection area， 254 surface soil samples and 66 water samples were collected from the 1st to 3rd grade water systems in the source protection area of the Datong River， Guangxi Zhuang Autonomous Region. A systematic assessment was conducted on these samples by integrating the single pollution index， Nemerow comprehensive pollution index， potential ecological risk index， and principal component analysis. The results showed that the average contents of heavy metals in the soil of the study area followed the order： Cr>Zn>Pb>As>Cu>Ni>Cd>Hg. Among them， 16 samples exceeded the screening values（pH<5.5） specified in the Soil Environmental Quality Risk Control Standard for Soil Contamination of Agricultural Land（GB 15618-2018）. The average contents of various heavy metals in river water were much lower than the standards for Class I surface water. In the soil of the main stream of Datong River， Cu， Cd， and Hg exhibited a pattern of segmented enrichment， which was controlled by the natural weathering process of parent rocks（Members 1-4 of the Huangdongkou Formation）. A small number of samples showed significantly high concentrations of Cr， As， Pb， as well as Cu and Hg， which could be correlated with the distribution of villages， towns， and farmlands. Multiple occurrences of As pollution were detected in the Liudian gold mining area， which were attributed to mining activities. For the soil samples， the Nemerow comprehensive pollution index（<i>P</i>_N） ranged from 0.11 to 10.54， with samples at the warning level and mild pollution level accounting for 33.86% and 49.61%， respectively. For the river water samples， the single pollution indices were generally far below 1， and the <i>P</i>_N values ranged from 0.144 to 1.733， with 96.96% of the samples falling into the safe category. Comparative analysis indicated that the selection of soil background values was the fundamental cause of the aforementioned differences. Source identification analysis revealed that Cu， Pb， Zn， Ni， and Cr in the study area were mainly from natural sources； Cd and Hg were primarily from domestic-agricultural sources； and As was mainly from mining sources. In conclusion， the enrichment of heavy metals in the source protection area of the Datong River， Guangxi Zhuang Autonomous Region， is mainly controlled by the weathering of bedrock and soil-forming processes， and the overall quality of the study area is in a clean and unpolluted state.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6433-6442"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013031","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 Soil Microbial Necromass Carbon and Community Structure to Warming and Nitrogen Addition in an Alpine Swamp Meadow].","authors":"Wei Bai, Ruo-Bing Ma, Meng-Jia Chen, Yi-Xuan Yang, Chun-Yu Wang, Yi-Bo Wang","doi":"10.13227/j.hjkx.202508165","DOIUrl":"https://doi.org/10.13227/j.hjkx.202508165","url":null,"abstract":"<p><p>Climate change， especially global warming and increasing atmospheric nitrogen （N） deposition， has become a major driver of carbon cycle in terrestrial ecosystems. To the role of microbial residues in soil organic carbon （SOC） accumulation and identify their controlling factors under climate change scenarios， a field experiment was conducted in an alpine swamp meadow on the Qinghai-Tibet Plateau. The experiment included four treatments： control group， warming， N addition， and combined warming with N addition. Soil microbial necromass carbon （MNC） was quantified by separately assessing fungal necromass carbon （FNC） and bacterial necromass carbon （BNC） using amino sugar biomarkers. Warming significantly increased FNC and FNC/SOC by 23.20% and 26.76%， respectively （<i>P</i><0.05）. In contrast， N addition and the combined treatment significantly decreased FNC by 61.86% and 50.86% （<i>P</i><0.05） and decreased FNC/SOC by 15.81% and 19.05% （<i>P</i><0.05）. N addition and the combined warming with N addition significantly promoted the BNC/SOC by 92.24% and 73.58%， respectively （<i>P</i><0.05）. Mantel tests indicated significant correlations between FNC and dominant fungal phyla such as Ascomycota， Mucoromycota， Basidiomycota， and Zoopagomycota， and bacterial phyla including Acidobacteriota and Rokubacteria. Correlation analysis and PLS-PM revealed that soil nutrient properties were the primary factors influencing MNC. Specifically， SOC， total phosphorus （TP）， and organic phosphorus （O-P） were significantly and positively correlated with MNC， while total nitrogen （TN） and nitrate nitrogen （NO₃^--N） were negatively correlated with it. Regarding soil enzymatic activities and microbial diversity indices， <i>N</i>-acetyl-<i>β</i>-D-glucosaminidase （NAG） activity， peroxidase （POD） activity， the fungal Simpson diversity index， and the bacterial Chao1 richness index positively correlated with MNC. Conversely， urease （URE） activity showed a significant negative correlation with MNC. These findings highlight divergent responses of MNC to climate warming and N deposition， driven primarily by soil nutrient properties. This study provides evidence for understanding the carbon stabilization mechanisms in cold region ecosystems under future climate change scenarios.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6545-6557"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013038","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 Ecosystem Service to Land Use Function Evolution Along the Yellow River Basin].","authors":"Hui-Xu Zhou, Jun Ma, Ya-Ya Jin","doi":"10.13227/j.hjkx.202507138","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507138","url":null,"abstract":"<p><p>The evolution of land use functions profoundly influences the changes in ecosystem services. To explore the impact of land use functions on ecosystem service value （ESV）， this study took 69 prefecture-level cities along the Yellow River Basin from 2000 to 2022 as the research area. Employing methods such as the land use function transition matrix， trade-off and synergy relationships， and sensitivity analysis， the spatiotemporal evolution of land use functions and the gain-loss and response of ESV were examined. The results show that： ① Over the past 22 years， the land use types along the Yellow River Basin have shown a significant expansion of construction land and a reduction in the area of farmland and grassland. The most prominent feature of the evolution of land use functions was the reduction of production-ecological functions and the significant increase in land for living-production functions. The former had the largest transfer area， and its transfer speed was much higher than its new addition speed. By 2022， it had a net reduction of 29 708.18 km². The latter had a new addition speed greater than the transfer speed， with a net increase of 19 770.83 km². ② During the study period， the ESV along the Yellow River Basin increased by 124 956 billion yuan. Among them， forests， which represent ecological functions， and waters， which represent ecological production functions， made the greatest contributions to ESV. Hydrological regulation， climate regulation， and soil conservation were the most important types of ecosystem services along the Yellow River Basin， and different type of ecosystem services were mainly in a synergistic relationship. ③ The response degree of ESV to the evolution of different land use functions along the Yellow River Basin had significant heterogeneity. The transformation of ecological functions into ecological production functions had the greatest contribution rate to the increase of ESV， reaching 101.78%. The transformation of production-ecological functions into living-production functions had the highest contribution to the decrease of ESV， reaching 37.81%. The research results have certain decision-making reference value for the sustainable utilization of land resources and the optimization of the ecological security pattern along the Yellow River Basin.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6342-6352"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013043","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 Distillery Sewage Sludge on Rhizosphere Soil Quality and Carbon Cycle Functional Genes in Sorghum].","authors":"Jia-Yi Yuan, Yong-Gui Wu, Hong-Pei Lu, Peng Zhang, Ying-Fang Yang, Can Luo, Wan Liang, Xing Ma","doi":"10.13227/j.hjkx.202507005","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507005","url":null,"abstract":"<p><p>Distillery sewage sludge （DSS）， a typical organic byproduct generated during the production of Chinese Baijiu， has attracted increasing attention for its potential in agricultural resource utilization. However， the ecological effects of different DSS application methods on rhizosphere soil remain unclear. Using brewing sorghum rhizosphere soil as the research object， four application modes （unfertilized control， CK； spherical basal application， BF； spherical lateral application， LF； and powdered mixed application， MF） were comparatively evaluated for their impacts on soil nutrients， enzyme activities， carbon-functional microbial communities， and carbon-cycling functional gene expression. The results showed that， compared with CK， all three DSS treatments （BF， LF， and MF） significantly increased the contents of soil organic matter （SOM）， available nitrogen （AN）， ammonium nitrogen （NH₄⁺-N）， and nitrate nitrogen （NO₃^--N）， with MF achieving the most pronounced effect， raising SOM by 114% （<i>P</i><0.001）. Meanwhile， DSS application also enhanced soil enzyme activities to varying degrees， with urease （URE） and catalase （CAT） activities increasing by 41.55%-174.47% and 2.83%-30.41%， respectively. Metagenomic analysis revealed that DSS application altered the composition and diversity of carbon-functional microbial communities and elevated the overall expression levels of genes related to carbon degradation， carbon fixation， and methane metabolism. Specifically， MF significantly enhanced the abundance of key genes such as <i>bglX</i> involved in cellulose degradation and those in carbon fixation and degradation pathways， whereas LF promoted the expression of <i>coxL</i> involved in CO oxidation and methane oxidation pathways. Further analysis using a random forest model indicated that soil nitrogen levels and exchangeable Ca and Mg ions under DSS application significantly influenced the expression of carbon cycling functional genes. In conclusion， different DSS application methods regulate the soil nutrient environment and microbial community structure， thereby enhancing the expression of carbon cycling functional genes. Among them， MF was identified as the most effective strategy for improving soil quality and microbial carbon metabolism potential. This study provides theoretical support and mechanistic insight for the efficient utilization of distillery byproducts in circular agriculture and the enhancement of soil ecological functions.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6479-6490"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012910","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 Organic Materials Combined with Dolomite on Acidic Yellow Soil and Maize Growth].","authors":"Yu-Ming Zhou, Yu-Chen Yang, Xiao-Qiang Chen, Hao Feng, Qin-Ge Dong","doi":"10.13227/j.hjkx.202507380","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507380","url":null,"abstract":"<p><p>The problem of acidification of yellow soil in the southwest of China is prominent. To rejuvenate the new quality productive forces of acidic yellow soil， five treatments were set up： no amendment （CK）， organic fertilizer （OF）， biochar （BC）， biochar + dolomite （BC+D）， and organic fertilizer + dolomite （OF+D）. The aim was to identify a comprehensive improvement plan suitable for high-quality and long-term acidified yellow soil. The results showed that： ① OF+D significantly reduced exchangeable hydrogen by 25.9% and exchangeable aluminum by 34.1%， increased base saturation by 45.8% and pH by 0.43 units， and could promptly buffer the input of acidic substances near the root layer， reducing the sharp fluctuations in pH caused by the hydrolysis of potential acid， achieving the best acid control and prevention. ② BC and BC+D promoted the uniform distribution of soil water and nitrogen， while OF and OF+D were more effective in increasing water and nitrogen reserves. Particularly， OF+D increased total nitrogen， organic carbon， and available phosphorus by 9.1%， 12.4%， and 551.6%， respectively， while BC+D showed antagonistic effects. ③ The dry matter accumulation of corn was in the order of OF+D>BC+D>OF>BC>CK. The significant advantages were shown before the jointing stage after the application of dolomite， and the accumulation of grain biomass and nitrogen was accelerated thereafter. The yield， nitrogen uptake efficiency， and partial factor productivity of nitrogen of OF+D increased by 10.3%，73.8%， and 10.3%， respectively， and the production efficiency was improved in a coordinated manner. Therefore， considering the comprehensive aspects of acid regulation and control， soil fertility improvement， and stable and increased production， the application of organic fertilizer combined with dolomite is the most ideal approach for the improvement of acidic yellow soil and the increase of corn yield.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6456-6466"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012913","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":"[Correlation Between Landscape Pattern and Ecosystem Services and Optimization Strategies in Zoige National Park].","authors":"Jia-Jing Li, Xiao-Yu Gan, Xin-Yuan Bi, Jia-Jia Liu, Zhuo-Ting Jiang, Ao Kang","doi":"10.13227/j.hjkx.202506264","DOIUrl":"https://doi.org/10.13227/j.hjkx.202506264","url":null,"abstract":"<p><p>Enhancing ecosystem services （ES） in national parks is essential for maintaining ecosystem sustainability， and landscape pattern （LP） plays a key role in this. Existing studies have mostly focused on the spatial impact of LP on ES， while the correlation between the intensity of this impact and the size of ES remains unclear， which may lead to the mismatch of policy interventions and ineffective investment of costs. Taking Zoige National Park as an example， combining the ES evaluation method， correlation analysis method， and constraint line method， we comprehensively analyze the dynamic change characteristics of LP and ES [annual water yield （AWY）， soil conservation （SC）， habitat quality （HQ）， and carbon storage （CS）] in the study area from 2000 to 2020 and explore the impact of LP on ES based on the data in 2020. Finally， by identifying the correlation between the intensity of LP's impact on ES and the size of ES， LP optimization strategies were proposed to promote the effective and efficient enhancement of ES. The results show that： ① The overall levels of AWY and SC were high and obvious， the growth rate of CS decreased， and HQ showed a trend of degradation. ② The landscape fragmentation in the study area increased， and the dominance of grassland and wetland patches decreased. ③ The four types of ES in the study area were affected by the nine types of LP indices to varying degrees， with the western and northern areas being affected the most. ④ The strength of LP's impacts on ES had a threshold effect on the ES size； and the constraint lines were primarily concave wave-shaped， exponential， and positive U-shaped. When AWY and CS increased， the influence intensity decreased and then increased， while HQ and SC showed the opposite. In summary， it can be seen that optimizing LP in the study area can effectively enhance ES， but it is necessary to comprehensively consider the intensity of LP's influence on ES and its correlation with ES size to achieve significant enhancement results. The results of this study provide a scientific basis for the prioritization of ecological restoration in national parks.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6377-6391"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012998","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":"[Abundance and Physicochemical Characteristics of Microplastics in Surface Water and Sediments of Different Types of Waters in China].","authors":"Yuan-Miao Chen, Zhi-Dong Zhou, Jian-Hui Xue","doi":"10.13227/j.hjkx.202507009","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507009","url":null,"abstract":"<p><p>With the increase in plastic production and disposal volumes， microplastics have become a ubiquitous emerging pollutant in aquatic environments， attracting significant attention in recent years. Based on research data published in the past five years， this study analyzed the research areas focusing on microplastics in surface water and sediments of Chinese lakes， rivers， and oceans， as well as their abundance and physicochemical characteristics. It also summarized the distribution characteristics and influencing factors of microplastics in these three types of waters， with the aim of providing references for the governance of microplastic pollution and environmental regulation. The results showed that the distribution of research areas on microplastics in China's waters was uneven， with less research conducted in the northwest， northeast， and southeast regions and remote sea areas. The highest abundance of microplastics in the surface water of lakes， rivers， and oceans in China reached 51 340， 930 200， and 726 000 n·m^-3， respectively. The highest abundance （dry weight） of microplastics in sediments was 6 374.55， 18 780.20， and 54 813.20 n·kg^-1， respectively. Among all lakes， the abundance of microplastics in lakes in the eastern and western regions was higher than that in the central region. In river systems， the Yellow River and Songhua River systems showed higher average microplastic abundance in surface waters compared to that in other river systems， whereas the Huaihe River and Haihe River systems demonstrated relatively higher levels in sediments. For marine environments， the South China Sea and Yellow Sea contained elevated microplastic abundance compared to that in the Bohai Sea and East China Sea. The abundance of microplastics was significantly positively correlated with the gross regional product， the total output value of industry， the total output value of agriculture， the total output value of fisheries， population， and sewage discharge. Microplastics smaller than 1 mm predominated in both surface waters and sediments， with transparent or colorless microplastics being the most prevalent. Fibers and fragments represented the most common morphological types， while polyethylene， polypropylene， and polyethylene terephthalate constituted the predominant polymer categories. However， the research areas of microplastics in China's waters are insufficiently covered. In summary， microplastics are widely distributed in China's water bodies and exhibit significant spatial heterogeneity. Their abundance and physicochemical characteristics are closely related to human activities. This study provides theoretical support for the control of microplastic pollution in water bodies and the analysis of the impact of human activities on their abundance.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6569-6578"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149013029","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":"[Evaluation of Habitat Quality and Driving Forces Analysis in the Qarqan River Basin Based on an Enhanced Remote Sensing Ecological Index].","authors":"Jia-Cheng Zhang, Fan Gao, Kun Liu, Bing He, Jie Wu, Ying Li","doi":"10.13227/j.hjkx.202507029","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507029","url":null,"abstract":"<p><p>As a critical tributary within the Tarim River Basin framework （\"nine tributaries and one mainstream\"）， identifying spatio-temporal variations in habitat quality and their driving factors in the Qarqan River Basin is essential for regional ecological conservation and sustainable development. To address the ecological characteristics of this arid basin， this study developed an enhanced remote sensing ecological index （ERSEI）. Leveraging the Google Earth Engine （GEE） platform， we integrated Theil-Sen Median trend analysis， Mann-Kendall test， spatial autocorrelation （Moran's <i>I</i>）， and optimal parameters-based Geodetector to investigate habitat quality dynamics and driving factor influences （from 2000 to 2023）. Key results indicate： ① The first principal component of ERSEI contributed 76.5% of the cumulative variance， with a mean correlation coefficient of 0.79 across ecological indicators， confirming its efficacy in characterizing arid land surface features and validating its robustness. ② The annual mean ERSEI value was 0.484 from 2000 to 2023， showing a fluctuating improvement trend. The proportion of ecologically degraded areas decreased by 10.58%， while improved areas increased by 12.63%. Spatially， a polarized pattern emerged： Ecological quality was superior in high-altitude regions and oasis cores but poorer in northern desert margins and central channel-lacking arid zones. ③ Significant spatial clustering of ecological quality was observed， with high-high agglomerations concentrated in high-altitude areas and mid-altitude cultivated oases and low-low clusters predominantly distributed in mid-altitude desert belts. ④ Human activities exerted stronger driving forces on ecological evolution than natural factors over 2000 to 2023. Land use type was the dominant single factor. Interactions between land use and meteorological factors/elevation significantly enhanced the explanatory power for ERSEI （<i>q</i>-values： 0.854， 0.829， and 0.892）， with driving mechanisms characterized by distinct pairwise factor enhancement and nonlinear synergistic effects.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"6237-6250"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012873","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":"[Spatiotemporal Variation Characteristics and Driving Factors of Carbon Sinks in Resource-Depleted Transition Cities： A Case Study of Xuzhou].","authors":"Jia-Xing Xu, Jia-Hao Yao, Ruo-Lan Liu, Wen-Min Hu, Wei Zhang","doi":"10.13227/j.hjkx.202507324","DOIUrl":"https://doi.org/10.13227/j.hjkx.202507324","url":null,"abstract":"<p><p>Ecological restoration and green transformation of resource-exhausted cities are vital pathways for carbon sequestration and sink enhancement. The quantitative evaluation of carbon sink capacity and its driving factors is essential for deepening the understanding of regional carbon cycling and its driving mechanisms， optimizing ecological restoration strategies， and advancing China's \"dual-carbon\" goals. In this study， we selected Xuzhou， a city transitioning from resource dependence， as our case study and employed an improved CASA model， soil respiration regression equations， slope trend analysis， Hurst index， optimal parameter Geodetector （OPGD）， and partial correlation analysis to reveal the spatiotemporal dynamics， driving factors， and future trajectories of net ecosystem productivity （NEP） during Xuzhou's transition away from resource dependence. The results show that： ① From 2000 to 2022， NEP in Xuzhou exhibited a fluctuating upward trend and displayed a spatial pattern of \"low in the center， high in the periphery，\" transitioning from a carbon source to a carbon sink. ② During 2011-2022， NEP increased significantly， and the area exhibiting a significant upward trend expanded by 28.21% （<i>P</i> < 0.05）； the carbon-sink capacity was projected to continue strengthening. ③ The explanatory power of individual drivers of NEP spatial heterogeneity differed markedly， while the intensity of multi-factor interactions rose significantly. Vegetation cover fraction （<i>q</i>=0.49） and built-up land proportion （<i>q</i>=0.47） exhibited the strongest explanatory power for the spatial heterogeneity of NEP， and the explanatory power of ecological restoration factors has been steadily increasing. ④ Future efforts should focus on establishing a synergistic mechanism that integrates ecological-restoration governance with carbon sink enhancement， strengthening the interplay between natural and anthropogenic factors， ensuring ecological sustainability， and averting the risk of carbon sink decline caused by uncontrolled urban expansion.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 9","pages":"5877-5888"},"PeriodicalIF":0.0,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149012874","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}