环境科学最新文献

{"title":"[Analysis of Spatio-temporal Changes and Driving Factors of Carbon Storage in Poyang Lake Ecological Economic Zone Based on PLUS-InVEST-Geodetector Model].","authors":"Yi-Ming Wang, Zeng-Xin Zhang, Xi Chen","doi":"10.13227/j.hjkx.202503107","DOIUrl":"https://doi.org/10.13227/j.hjkx.202503107","url":null,"abstract":"<p><p>Accurate assessment and prediction of the impact of land use change on carbon storage is of great significance for realizing the dual carbon target. Based on land use data， the spatio-temporal changes of carbon storage in Poyang Lake Ecological Economic Zone from 1990 to 2020 were evaluated using the integrated valuation of ecosystem services and tradeoffs （InVEST） model. Then， the impacts of land use transition on carbon storage change were quantified by using the Geo-information Tupu method. Coupled with the patch-generating land use simulation （PLUS） model and the InVEST model， the carbon storage of the study area in 2040 under the natural development scenario， farmland protection scenario， and ecological protection scenario were predicted. Finally， the Geodetector model was used to analyze drivers of the spatial differentiation of carbon storage. The results showed that： ① The total carbon storage of Poyang Lake Ecological Economic Zone showed a continuous decreasing trend from 1990 to 2020， with a net decrease of 9.89 Tg in 30 years. ② From 1990 to 2020， the conversions of land use in Poyang Lake Ecological Economic Zone resulted in an increase of 3.66 Tg in carbon storage， of which conversions of farmland to wetland， farmland to forestland， built-up land to farmland， and grassland to forestland contributed 26.39%， 24.43%， 17.68%， and 15.84%， respectively. At the same time， the conversions of land use resulted in a decrease of 13.55 Tg in carbon storage， among which the conversions of farmland and forestland to built-up land contributed the most， accounting for 49.01% and 22.27%， respectively. ③ From 2020 to 2040， the total carbon storage of Poyang Lake Ecological Economic Zone under the natural development scenario， farmland protection scenario， and ecological protection scenario will decrease by 8.53 Tg， 6.61 Tg， and 4.06 Tg， respectively. ④ Population density and nighttime light intensity were main driving factors of spatial differentiation of carbon storage. Interaction effects between driving factors enhanced their explanatory power of spatial differentiation of carbon storage. The results of this study can provide scientific reference for ecological protection and sustainable development of Poyang Lake Ecological Economic Zone.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 7","pages":"4623-4634"},"PeriodicalIF":0.0,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148521127","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":"[Ecological Restoration Zoning and Strategy in the Huaihe River Basin Based on SDG15.3.1 and Ecosystem Service Supply and Demand].","authors":"Mu-Yi Huang, Qin Guo","doi":"10.13227/j.hjkx.202505334","DOIUrl":"https://doi.org/10.13227/j.hjkx.202505334","url":null,"abstract":"<p><p>The Huaihe River Basin is a critical ecological functional area and a key region for economic development in China， serving as an important base for the country's grain， energy， and other resources. However， the region's ecosystems are under immense pressure due to the combined impacts of climate change and urbanization on land use. Ecological restoration plays a crucial role in the construction of an ecological civilization and is significant for addressing environmental issues and alleviating ecosystem pressures. This study focuses on the Huaihe River Basin， utilizing ecosystem service supply-demand ratios and supply-demand matching at the county scale to delineate ecological restoration zones. The SDG 15.3.1 land degradation neutrality target is incorporated， along with land degradation assessment results， to provide precise， differentiated， and diversified ecological restoration strategies for the basin. The results indicate that from 1990 to 2020， both ecosystem service supply and demand in the Huaihe River Basin have shown increasing trends. The total supply of ecosystem services exceeded total demand， with surplus types accounting for 83.30% to 88.70% of all matching types. The four supply-demand matching types included high supply-high demand， high supply-low demand， low supply-high demand， and low supply-low demand， with high supply-low demand and low supply-low demand being dominant. The land degradation assessment based on the SDG 15.3.1 index revealed a 32.62% degradation rate， with a recovery area accounting for 20.87%， indicating that the basin had not achieved land degradation neutrality. Based on the calculated supply-demand relationships of ecosystem services， the Huaihe River Basin was divided into three primary categories （conservation， restoration， and construction） and five secondary ecological restoration zones （priority protection， general protection， priority restoration， general restoration， and priority construction）. Finally， tailored ecological restoration strategies are proposed according to the SDG 15.3.1 land degradation results. The findings provide scientific guidance for ecological protection and restoration decision-making in the Huaihe River Basin.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 7","pages":"4903-4914"},"PeriodicalIF":0.0,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148520959","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":"[Coupling Coordination and Influencing Factors Analysis of Water Resources Carrying Capacity， New-Type Urbanization， and Ecological Environment in the Gansu Section of the Yellow River Basin].","authors":"Sen Du, Fo-You Sun, De-Ze Xu, Tian-Hong Zhou, Guo-Zhen Zhang","doi":"10.13227/j.hjkx.202506139","DOIUrl":"https://doi.org/10.13227/j.hjkx.202506139","url":null,"abstract":"<p><p>Elucidating the coupling relationships and influencing factors between water resources carrying capacity， new-type urbanization， and the ecological environment is essential for improving urban water utilization， strengthening ecological protection， and promoting coordinated new-type urbanization development in river basins. Taking the nine cities and prefectures in the Gansu section of the Yellow River Basin as an example， we establish a comprehensive evaluation system targeting the overall development of water resources carrying capacity， new-type urbanization， and ecological environment. By employing the coupling coordination degree obstacle degree model and the geographically and temporally weighted regression models， the study explores the dynamic variations and spatial-temporal differences of the coupled coordination degree across the three aspects in the study area. The key findings are： ① The development indices of water resources carrying capacity， new-type urbanization， and ecological environment in the Gansu section of the Yellow River Basin showed a stable upward trend. ② The coupling coordination degree of the Yellow River Basin in Gansu Province showed an increasing trend， rising from 0.30 in 2012 to 0.45 in 2023. The coupling state had shifted from a mild imbalance to a stage of near imbalance. ③ Economic level， population size， expenditure on science and education， government capacity， social security capacity， and degree of openness to the outside world were the main external factors influencing the coupled coordination degree. Providing theoretical underpinnings and practical guidance for the formulation and implementation of coordinated development strategies integrating water resource conservation， ecological restoration， and new-type urbanization in river basin cities.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 7","pages":"4772-4784"},"PeriodicalIF":0.0,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148520964","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 Coupling and Driving Mechanisms of Agricultural Carbon Emission Reduction and High-quality Development of Agricultural Economy].","authors":"Jing-Cai Li, Yun Xiang, Qian Lu","doi":"10.13227/j.hjkx.202506116","DOIUrl":"https://doi.org/10.13227/j.hjkx.202506116","url":null,"abstract":"<p><p>The coordinated development of carbon emission reduction and high-quality development of agricultural economy is essential for advancing the low-carbon transformation in agriculture. Based on panel data for 229 Chinese cities from 2012 to 2022， this study systematically analyzed the spatio-temporal coupling and driving mechanisms of agricultural carbon emission reduction and high-quality development of agricultural economy in China. Research methods included modification of the coupling coordination degree model， Dagum Gini decomposition， and quadratic assignment procedure （QAP） method. The results show that： ① The level of coupling coordination steadily increased nationally and within eight economic areas， exhibiting a staged evolution from near-maladjustment types to reluctant coordination types and then primary coordination types. However， the system remains in a transitional phase. ② In terms of spatial correlation pattern， the coupling coordination degree has gradually changed from a polarization effect to a diffusion effect， evolving from agglomeration to relative equilibrium. A spatial pattern emerged that was higher in the east than in the west and higher in the north than in the south， and central economic areas in transition emerged. In addition， while spatial disparities have narrowed nationally， both intra-regional and inter-regional gaps remained significant across eight economic areas， with the latter contributing more prominently. ③ Disparities in coupling coordination were primarily driven by endogenous differences in high-quality development of the agricultural economy. Additionally， external environmental variations also compounded these disparities， with spatial differentiation amplified by economic development， technological innovation， and resource utilization efficiency， whereas it was alleviated by industrial structure and human capital. Finally， based on these findings， policy recommendations focus on implementing region-specific policies， deepening regional coordinated development strategies， and strengthening institutional innovation mechanisms.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 7","pages":"4391-4403"},"PeriodicalIF":0.0,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148521066","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 Storage Effects and Driving Factors of the Transformation of Production-living-ecological Spaces in Henan Province Under the Dual Carbon Goals].","authors":"Jing-Jing Zhang, Wan-Kang Hao, Wen-Ke Liang, Qing-Shuo Shi, Jia-Lin Zhang, Yan-Na Xie","doi":"10.13227/j.hjkx.202504132","DOIUrl":"https://doi.org/10.13227/j.hjkx.202504132","url":null,"abstract":"<p><p>Quantifying the carbon storage effects of the transformation of production-living-ecological spaces and revealing its driving mechanisms is a key scientific issue for coordinating regional development and ecological protection. Taking Henan Province as the research object， this study constructs a transmission path framework of \"spatial transformation-carbon storage effects-driving mechanisms；\" integrates multi-source parameters such as land use， natural environment， and socio-economy； couples the InVEST-Geodetector method； and systematically discusses the carbon storage effects and driving factors of the transformation of production-living-ecological spaces by combining dynamic degree analysis， transfer matrix， and contribution rate analysis. The results show that： ① From 2000 to 2020， the production space in Henan Province was continuously shrinking， while the ecological and living spaces was gradually expanding. This process showed a trend of slow change in the early stage and drastic change in the later stage. Among them， the changes in industrial production space and urban living space were the most frequent. The spatial transformation was mainly characterized by the most frequent conversions among agricultural production space， rural living space， forest ecological space， and grassland ecological space， followed by the conversion of agricultural production space into industrial production space and urban living space. ② The carbon storage showed a continuous downward trend. Especially in the last decade， the reduction rate was 2.54×10⁶ t·a^-1， which was approximately three times higher than that in the previous decade. The conversion of agricultural production space into rural living space was the main reason for the reduction of carbon storage （with a contribution proportion of 57.70%）， followed by the conversion of forest ecological space into grassland and agricultural production space （with a contribution proportion of 15.77%）. ③ The change of carbon storage was jointly driven by natural factors and socio-economic factors. Among the natural factors， NDVI， elevation， and annual average temperature always had the strongest explanatory power for carbon storage （<i>q</i> &gt; 0.193）， followed by economic density and population density （<i>q</i> &gt; 0.1）. Moreover， the explanatory power of the interaction of various factors for carbon storage was significantly enhanced. Based on this， this study proposes optimization approaches for the production-living-ecological spaces in Henan Province under the dual carbon goals， which has practical significance for achieving the coordinated goals of food security and carbon neutrality.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 7","pages":"4648-4658"},"PeriodicalIF":0.0,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148521069","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":"[Influence of New Quality Productivity on the Synergistic Effect of Pollution Reduction and Carbon Emissions Reduction].","authors":"Mei-Li Zhang, Yan-Zhao Li","doi":"10.13227/j.hjkx.202505288","DOIUrl":"https://doi.org/10.13227/j.hjkx.202505288","url":null,"abstract":"<p><p>Under the triple background of accelerating the development of new quality productive forces， achieving the \"dual carbon\" goal， and promoting the construction of a beautiful China， it is of vital importance to explore the impact of new quality productive forces on the synergistic effect of pollution reduction and carbon emission reduction. Based on the panel data of 30 provinces in China from 2013 to 2022， this study empirically examines the direct， heterogeneous， and nonlinear impacts of new quality productivity on the synergistic effect of pollution reduction and carbon emissions reduction by constructing two-way fixed effect models， quantile regression models， and threshold regression models. The results of the study show that： ① New quality productivity could significantly contribute to the synergistic effect of pollution reduction and carbon emissions reduction in our country. This conclusion remained valid after undergoing multiple robustness tests. ② Meanwhile， compared with the regions with a high degree of cooperation in pollution reduction and carbon emissions reduction， the new quality productivity had a stronger promoting effect on the regions with a low degree of cooperation in pollution reduction and carbon emissions reduction. ③ There was a threshold effect on the influence of new quality productivity on the synergistic effect of pollution reduction and carbon emissions reduction. When digital infrastructure crossed the threshold， the degree of marketization was between the first threshold and the second threshold， and the energy structure crossed the second threshold； the new quality productivity had the strongest promoting effect on the synergistic effect of pollution reduction and carbon emissions reduction. By clarifying the impact relationship of new quality productivity on the synergistic effect of pollution reduction and carbon emission reduction， this study provides policy references for promoting regional high-quality development in China from the perspective of new quality productivity.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 7","pages":"4506-4518"},"PeriodicalIF":0.0,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148521070","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 Typical Amendments on Nitrogen Forms and Microbial Community Structure in Polygonal Solonchak].","authors":"Li-Rong Chen, Zhen Wang, Feng-Ju Zhang, En-Yu Yang, Li-Na Wang, Cheng-Yan Zhang, Lin-Feng Huang, Long Chen","doi":"10.13227/j.hjkx.202506301","DOIUrl":"https://doi.org/10.13227/j.hjkx.202506301","url":null,"abstract":"<p><p>Polygonal Solonchaks critically impede regional ecological security and agricultural sustainability due to compaction， infertility， weak nutrient retention， and low microbial activity. While amendments offer a key strategy for improving soil structure and fertility， their impact on crucial nitrogen （N） transformation processes and the underlying microbial communities remains unclear. To elucidate the response of N transformation and microbial communities to biochar （C） and desulfurized gypsum （T） amendments and identify key influencing factors， a field trial was conducted in Qianjin Farm， Pingluo County， Ningxia. Four treatments were evaluated： control （CK， no amendment）， biochar alone （C）， desulfurized gypsum alone （T）， and combined biochar and gypsum （C+T）. Soil N content and microbial community characteristics were measured. Key results show that： ① Treatment C significantly increased soil total nitrogen （TN）， ammonium nitrogen （NH₄⁺-N）， and nitrate nitrogen （NO₃^--N） by 96.1%， 21.5%， and 170%， respectively， compared to those under CK （<i>P</i>&lt;0.05）. Treatment T increased TN by 42.1% but decreased NO₃^--N by 21.4% （<i>P</i>&lt;0.05）. ② Amendments reduced microbial alpha diversity. Dominant taxa varied significantly among treatments： C increased the relative abundance of Actinomycetota by 9.8%， while T and C+T decreased it by 13.1% and 20.1%， respectively. C+T increased Acidobacteriota abundance by 10.6%. ③ Redundancy analysis （RDA） identified NO₃^--N as the primary factor influencing bacterial and archaeal community composition. Structural equation modeling revealed that amendments enhanced N transformation， optimized microbial community structure， and stimulated N metabolism by improving soil physicochemical properties， but inhibited nitrification-thereby reducing nitrogen leaching risk. Biochar exerted the most significant effect. Caution is warranted regarding gypsum application rates to prevent salt accumulation. This study provides a theoretical basis for efficient N utilization and non-point source pollution control in Polygonal Solonchak.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 7","pages":"4680-4691"},"PeriodicalIF":0.0,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148521100","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":"[Low-carbon Development Pathways of the Petrochemical Industry in the Hangzhou Bay Area Based on the LEAP Model].","authors":"Xing-Xing Ye, Hai-Xia Dai, Ying-Jie Li, Sheng-Ao Jing, Ying-Ge Ma, Min Zhang, Qing-Yan Fu","doi":"10.13227/j.hjkx.202505007","DOIUrl":"https://doi.org/10.13227/j.hjkx.202505007","url":null,"abstract":"<p><p>Focusing on the Hangzhou Bay petrochemical cluster， a LEAP-Hangzhou Bay petrochemical industry model was developed to identify future low-carbon development pathways for the region's petrochemical sector. Combined with factors such as industrial development and technological progress， the model analyzed trends in terminal energy demand and carbon emission levels under baseline， energy-saving and carbon-reduction， and enhanced carbon-reduction scenarios from 2021 to 2060. The results indicate that under the baseline scenario， energy consumption and CO₂ emissions in the Hangzhou Bay petrochemical cluster were projected to peak in 2035 at 84.83 million tonnes （Mt） and 129.35 Mt， respectively. Under the enhanced carbon-reduction scenario， implementing comprehensive measures could achieve an earlier peak in energy consumption by 2030， while reducing CO₂ emissions in 2060 by 58.5% compared to the baseline. Among these measures， industrial restructuring demonstrated significant carbon reduction potential， enabling cumulative emission reductions of 147 Mt CO₂ between 2021 and 2060， contributing 44% of the total reduction. From the perspective of the economic analysis of carbon reduction technologies， electric boilers as substitutes， intelligent efficiency improvement， coal gasification poly-generation power generation， and waste heat utilization technologies represented by power generation from yellow phosphorus tail gas and waste heat recovery from hydrogen chloride all have relatively high cost-effectiveness （cost-effectiveness ratio &lt; 50 yuan·t^-1，CO₂）. In contrast， technologies like hydrogen production via hydrolysis， new type of highly efficient and low energy consumption CO₂ capture technology， multi-energy complementary microgrids， and high-temperature gas-cooled reactors， despite their substantial emission reduction potential， face relatively high unit abatement costs， presenting challenges for large-scale deployment. These findings can inform policy research on low-carbon transition pathways for key industries in the Hangzhou Bay Region and the broader Yangtze River Delta.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 7","pages":"4473-4481"},"PeriodicalIF":0.0,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148521106","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":"[Ecoenzymatic Stoichiometry During Straw Carbon Mineralization and Soil Organic Carbon Priming Effects under Microplastic Accumulation].","authors":"Xin Li, Mou-Liang Xiao, Zhi-E Hu, Zhen-Hui Jiang, Ti-da Ge, Yong-Fu Li","doi":"10.13227/j.hjkx.202506113","DOIUrl":"10.13227/j.hjkx.202506113","url":null,"abstract":"<p><p>Microplastics （MPs）， emerging contaminants in agroecosystems， have garnered increasing attention due to their environmental effects and potential impacts on soil ecological processes. To elucidate the dynamics of straw carbon （C） mineralization and its priming effect （PE） on soil organic carbon （SOC） under polyethylene MPs addition， a ¹³C-stable isotope labeling approach was employed to partition CO₂ emissions derived from straw and soil original organic C （OC）. Additionally， the activities of key enzymes involved in C and N cycling were analyzed to reveal the effects of MPs on the enzymatic mechanisms during straw C and SOC decomposition. The results showed that MPs had no significant effect on the total mineralization of straw C or soil original OC. However， low-dose MPs （0.1 mg·g^-1） amplified the negative PE of straw-induced SOC mineralization by 231% （<i>P</i>&lt;0.05）. Compared to that under straw-amended treatments， high-dose MPs （10 mg·g^-1） significantly reduced cellobiohydrolase （CBH） activity by 61.9% and 53.4% on days 30 and 65 （<i>P</i>&lt;0.05）， respectively， while enhancing leucine aminopeptidase （LAP） activity by 28.9% on day 30 （<i>P</i>&lt;0.05） and peroxidase （PER） activity by 92.6% and 205.5% on days 3 and 15 （<i>P</i>&lt;0.05）. On days 3 and 15 during incubation， low-dose MPs decreased the ratios of C-hydrolase to PER by 20.3% and 24.0%， respectively， and decreased N-hydrolase to PER by 21.1% and 23.8% （<i>P</i>&lt;0.05）. High-dose MPs decreased the ratios of C-hydrolase to PER by 20.1% and 35.9%， respectively， and decreased N-hydrolase to PER by 19.3% and 32.4% （<i>P</i>&lt;0.05）. These findings demonstrate that polyethylene MPs at the dosage of 0.1 and 10 mg·g^-1 did not directly alter straw C or SOC mineralization but regulated the negative PE of straw on SOC mineralization by reshaping enzymatic activities and stoichiometry in paddy soils.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 7","pages":"4980-4988"},"PeriodicalIF":0.0,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148520979","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 Urban Agglomeration Network Structure on the Coordinated Development of \"Carbon Reduction\" and \"Growth\"].","authors":"Shun-Chang Zhong, Qian-Hua Zhang","doi":"10.13227/j.hjkx.202505104","DOIUrl":"https://doi.org/10.13227/j.hjkx.202505104","url":null,"abstract":"<p><p>Exploring the impact of urban agglomeration network structures on the coordinated development of \"carbon reduction\" and \"economic growth\" serves as a critical pillar for achieving green-low carbon transformation and sustainable economic development within urban agglomerations. Based on panel data from 155 prefecture-level and above cities in China's 11 national-level urban agglomerations from 2006 to 2021， this study employs a modified gravity model and social network analysis to identify urban agglomeration network structures. Additionally， a revised Grubel-Lloyd index is used to measure the synergy level between carbon reduction and economic growth. Using a two-way fixed-effects model and a synergy effect model， this paper systematically examines the impact， underlying mechanisms， and heterogeneous effects of urban agglomeration network structures on the synergistic development of carbon reduction and economic growth. The findings reveal that： ① The average network structure index of Chinese urban agglomerations exhibited a fluctuating upward trend during the study period， increasing from 0.070 in 2006 to 0.218 in 2021. ② The optimization of the urban agglomeration network structure could significantly promote the coordinated development of \"carbon reduction\" and \"growth.\" For each unit increase in the urban agglomeration network structure， per capita carbon emissions decreased by 1.219×10² kg， per capita real GDP increased by 3.659×10⁴ yuan， and the level of coordination between carbon reduction and growth improved by 0.837 units. ③ Mechanism analysis confirmed that the optimization of urban agglomeration network structures facilitated knowledge flows and industrial specialization， which in turn drove the coordinated development of carbon reduction and economic growth. ④ Heterogeneity analysis indicated that higher urban network status and larger urban agglomeration scales amplified the synergy effects of network structure optimization on carbon reduction and economic growth. Therefore， policymakers should rationally plan and advance urban agglomeration network construction， actively guide knowledge flow and industrial specialization， and tailor regional development policies to local conditions to empower urban agglomerations in synergistically advancing carbon reduction and economic growth.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"47 7","pages":"4532-4543"},"PeriodicalIF":0.0,"publicationDate":"2026-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148521128","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}