Huanjing Kexue/Environmental Science最新文献

{"title":"[Pollution Characteristics, Source Analysis, and Ecological Risk Assessment of Polycyclic Aromatic Hydrocarbons in the Third Drain of Ningxia].","authors":"Hai-Juan Wu, Li Gao, Fu-Juan Li, Ling-Yun Li, Lan-Xiang Zheng","doi":"10.13227/j.hjkx.202309114","DOIUrl":"https://doi.org/10.13227/j.hjkx.202309114","url":null,"abstract":"<p><p>This study aimed to investigate the contamination characteristics, sources, and ecological risks of polycyclic aromatic hydrocarbons （PAHs） in the Third Drain of Ningxia. Water samples were collected in November 2021, March 2022, and July 2022, respectively. A total of 16 priority PAHs were quantitatively detected using gas chromatography-mass spectrometry （GC-MS）. The results showed that <i>ρ</i>(∑PAHs) in the drain ranged from 324.11 to 530.77 ng·L^-1, with an average value of 414.73 ng·L^-1. The detection rate of each monomer was greater than 90%, and DaA had the highest concentration, with average values of 48.53 ng·L^-1, followed by IcdP. Compared with those in other rivers in China, the PAH concentrations in the Third Drain of Ningxia showed a medium pollution level. The concentration of ∑PAHs and the high ring monomers were significantly higher in summer than that in spring and winter. On a spatial scale, the average concentration of ∑PAHs in the drain decreased in the order of upstream Helan section &gt; midstream Pingluo section &gt; downstream Huinong section. The proportion of PAHs was in the order of high rings （5-6 rings） &gt; low rings （2-3 rings） &gt; middle rings （4 rings）, with 5 rings being dominant. Probabilistic matrix factorization （PMF） was used to quantitatively assess the source apportionment of PAHs. The results showed that coal chemical emissions, automobile exhaust emissions, coal combustion, and petrochemical emissions contributed 27.36%, 27.64%, 26.85%, and 18.15%, respectively. Ecological risk assessment showed that BaA, BbF, BghiP DaA, and IcdP had high risk, whereas other monomers exhibited moderate risk. Therefore, control measures should be taken as soon as possible. This study can provide a scientific basis for the prevention and control of PAH pollution in the drains flowing into the Yellow River of Ningxia．.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142355662","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 Emission Effects of Spatially Connected Networks in the Digital Economy： Dynamic Evolution and Mechanism of Action].","authors":"Yan Xu, Lu-Yao He","doi":"10.13227/j.hjkx.202309236","DOIUrl":"https://doi.org/10.13227/j.hjkx.202309236","url":null,"abstract":"<p><p>In the context of the \"double carbon\" goal and the construction of the \"East Counts, West Counts\" project, this study investigated the characteristics of the spatial and temporal evolution of the digital economy spatial correlation network, and the effects and mechanisms of carbon emission reduction and carbon rebound effects by selecting data at the level of 254 prefectural-level cities from 2011 to 2021 and using the UCINET software and empirical econometric modeling. The results indicated that： The spatial network of the digital economy represented the development pattern of multiple synergies and had the characteristics of non-equilibrium spatial evolution in geographic regions. Secondly, the spatial network of the digital economy in the sample selection period had a positive contribution to carbon emission reduction, and it led to the carbon rebound effect, which was still valid after the robustness test. Furthermore, the spatial correlation network of the digital economy could reduce carbon emissions by promoting the energy efficiency effect under technological progress and led to the carbon rebound effect. Finally, the empirical results were heterogeneous under the four dimensions of geographic region, administrative level, urban environmental governance objectives, and resource endowment.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142355636","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":"[NDVI Changes and Influencing Factors of Different Soil and Water Conservation Zones in Shandong Province].","authors":"Wen-Ying Yi, Hai-Yang Wang, Ming-Ming Dong, Lu Tan, Huan-Chao Zhang, Lu-Yue Xu","doi":"10.13227/j.hjkx.202310108","DOIUrl":"https://doi.org/10.13227/j.hjkx.202310108","url":null,"abstract":"<p><p>Exploring the characteristics of vegetation change and its influencing factors is essential to construct an ecological environment. Based on the NDVI dataset from 2000 to 2020, this study analyzed the spatial temporal attributes of NDVI changes in Shandong Province using the Sen trend analysis and the gravity center migration model. Furthermore, the spatial heterogeneity of NDVI and its influencing factors within the whole study area and different soil and water conservation zones were investigated using a Geo-detector model, considering population, hydrological, topographic, soil types, and vegetation types. The results were as follows： ① The NDVI in Shandong Province from 2000 to 2020 showed a fluctuating upward trend with significant seasonal characteristics that varied from different zones. The annual NDVI change showed a trend of single-peak in the Ⅲ-4-2t, Ⅲ-4-1xt, and Ⅲ-5-2w but showed a trend of double-peak in the Ⅲ-5-3fn. ② Regarding the spatial distribution, the NDVI was higher in the west-north and west-south areas and lower in the north and coastal areas. During the 21 years, the primary type of NDVI change was \"medium-high coverage → high coverage,\" especially in the northeastern part of the soil conservation area of the Ⅲ-4-2t, the western part of the Ⅲ-4-1xt, and the ecological maintenance area of the Ⅲ-5-2w. Overall, 61.47% of the area had a positive trend of NDVI change with the gravity center of high coverage mitigating to the northeast, and the ecological environment was improved. ③ Soil types and population density were the dominant factors affecting NDVI in Shandong Province, with <i>q</i> values of 0.174 and 0.130, respectively. The chief factor in the Ⅲ-5-3fn, Ⅲ-4-2t, and Ⅲ-4-1xt was population density, with <i>q</i> values higher than 0.22, and the dominant factors in the Ⅲ-5-2w were soil types and vegetation types, with <i>q</i> values of 0.326 and 0.227, respectively. The interaction of the two factors enhanced the influence of the single factor, and the relationship between the influencing factors showed two-factor enhancement and nonlinear enhancement. The <i>q</i>-value of population density ∩ relative humidity was the highest, with a value of 0.257 in the Ⅲ-5-3fn. The <i>q</i>-value of population density ∩ soil types was the highest in the Ⅲ-4-2t and Ⅲ-4-1xt, reaching 0.297 and 0.378, respectively. The <i>q</i>-value of soil types ∩ vegetation types was the highest, with a value of 0.444 in the Ⅲ-5-2w. The results are expected to provide valuable references for improving the ecological environment of Shandong Province and lay a scientific foundation to make different conservation strategies for the individual soil and water conservation zones.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142355657","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":"[Characteristics of Water-soluble Ion Pollution in PM_2.5 and the Causes of High Acidity of PM_2.5 in Dalian].","authors":"Meng Yang, Chang Liu, Xiao-Huan Wang, Lian-Lian Liu, Ming-Ming Zhang, Shan-Shan Cao, Shou-Zheng Yan, Ze-Yu Sun, Chong-Guo Tian","doi":"10.13227/j.hjkx.202309149","DOIUrl":"https://doi.org/10.13227/j.hjkx.202309149","url":null,"abstract":"&lt;p&gt;&lt;p&gt;To gain a deeper understanding of the pollution status and influencing factors of fine particles （PM&lt;sub&gt;2.5&lt;/sub&gt;） and their water-soluble ions （WSI） in Dalian and to implement precise control of pollution events such as haze and acid rain, PM&lt;sub&gt;2.5&lt;/sub&gt; samples were collected in Dalian from June 2021 to May 2022. Then, the mass concentrations of PM&lt;sub&gt;2.5&lt;/sub&gt; and WSI were determined using the weight method and ion chromatography, respectively, and the pollution characteristics and sources were analyzed. Furthermore, the causes of the high acidity of PM&lt;sub&gt;2.5&lt;/sub&gt; in spring were discussed. The results showed that the annual average mass concentrations of PM&lt;sub&gt;2.5&lt;/sub&gt; and WSI in Dalian during the sampling period were （33.24 ±28.87） μg·m&lt;sup&gt;-3&lt;/sup&gt; and （18.66 ±20.52） μg·m&lt;sup&gt;-3&lt;/sup&gt;, respectively, and the secondary ions （SNA, including SO&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;2-&lt;/sup&gt;, NO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt;, and NH&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt;） accounted for the highest proportion of WSI [（86.2 ±9.3）%]. The order of ion concentration levels from highest to lowest was： NO&lt;sub&gt;3&lt;/sub&gt;&lt;sup&gt;-&lt;/sup&gt;&gt;SO&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;2-&lt;/sup&gt;&gt;NH&lt;sub&gt;4&lt;/sub&gt;&lt;sup&gt;+&lt;/sup&gt;&gt;Cl&lt;sup&gt;-&lt;/sup&gt;&gt;K&lt;sup&gt;+&lt;/sup&gt;&gt;Ca&lt;sup&gt;2+&lt;/sup&gt;&gt;Na&lt;sup&gt;+&lt;/sup&gt;&gt;Mg&lt;sup&gt;2+&lt;/sup&gt;&gt;F&lt;sup&gt;-&lt;/sup&gt;. Due to the influence of meteorological conditions and coal combustion emissions during the concentrated heating period from late autumn to early spring, the seasonal variation in PM&lt;sub&gt;2.5&lt;/sub&gt; and WSI was winter&gt;spring&gt;autumn&gt;summer, whereas SNA was the highest in spring and the lowest in summer. The results of correlation and principal component analysis showed that WSI in PM&lt;sub&gt;2.5&lt;/sub&gt; was mainly from the secondary transformation of atmospheric SO&lt;sub&gt;2&lt;/sub&gt; and NO&lt;sub&gt;2&lt;/sub&gt; （contributing to the majority of SNA）, mixed sources of combustion and dust （characterized by K&lt;sup&gt;+&lt;/sup&gt;, Mg&lt;sup&gt;2+&lt;/sup&gt;, Cl&lt;sup&gt;-&lt;/sup&gt;, and F&lt;sup&gt;-&lt;/sup&gt;）, and sources of sand and sea salt （characterized by Na&lt;sup&gt;+&lt;/sup&gt;, Ca&lt;sup&gt;2+&lt;/sup&gt;, and Mg&lt;sup&gt;2+&lt;/sup&gt;）. In summer, the main combustion source was biomass burning, whereas in autumn, winter, and spring, coal combustion emissions were predominant. The change in wind direction from autumn to winter brought by a shift from the source of sea salt to soil dust； additionally, the external pollution transported by northwest winds contributed to the complexity of the sources of WSI in PM&lt;sub&gt;2.5&lt;/sub&gt; during spring in Dalian. ISORROPIA-II model simulations suggested NH&lt;sub&gt;4&lt;/sub&gt;NO&lt;sub&gt;3&lt;/sub&gt; as the most present solid aerosol form in PM&lt;sub&gt;2.5&lt;/sub&gt; in Dalian, followed by CaSO&lt;sub&gt;4&lt;/sub&gt; and （NH&lt;sub&gt;4&lt;/sub&gt;）&lt;sub&gt;2&lt;/sub&gt;SO&lt;sub&gt;4&lt;/sub&gt;； compared to that in solid aerosols, more SNA existed in liquid aerosols. The annual average pH of PM&lt;sub&gt;2.5&lt;/sub&gt; in Dalian was 5.65 ±3.00, with pH values close to neutral in summer, autumn, and winter but significantly acidic in spring （2.03 ±3.18）. The high acidity observed in spring was attributed to the comb","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142355639","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":"[Occurrence Characteristics and Ecological Risk Assessment of Antibiotics in Reclaimed Water-receiving Rivers in Beijing].","authors":"Ya-Lin Wu, Jing-Xu Xu, Gui-Zhong Liu, Yao-Yao Fang, Bao Jiang, Cheng-Yi Sun, Chang-Hong Sun, Wen-Cui Ling","doi":"10.13227/j.hjkx.202309253","DOIUrl":"https://doi.org/10.13227/j.hjkx.202309253","url":null,"abstract":"<p><p>Taking Liangshui River, the reclaimed water-receiving river in Beijing, as the research area, the types, detection frequencies, and concentrations of 16 antibiotics in water and sediment were analyzed, and their temporal-spatial variation and occurrence characteristics were discussed. The results showed that nine and 13 target antibiotics were detected in the water and sediment of Liangshui River, with the antibiotic concentration ranges of ND-116.68 ng·L^-1 and ND-235.42 ng·g^-1, respectively. The main antibiotics in water were ofloxacin and clarithromycin, and the main antibiotic in sediment was ofloxacin. The total concentration of antibiotics in water and sediment showed a gradual decrease from the upstream to the downstream in the Liangshui River mainstream, and the concentration of antibiotics in tributaries was higher than that in the mainstream. The inflow of tributaries had an obvious impact on the antibiotic concentration in water for the Liangshui River but had little impact on its sediment. The total concentration of antibiotics in water and sediment during the dry season was generally higher than that during the wet season. The detected antibiotics with the highest concentration were quinolones in water during the wet season and macrolides in the dry season. Quinolones had the highest concentration in sediment in both seasons. The ecological risk assessment results showed that clarithromycin had a low risk in water in the dry season and sediment in both seasons, whereas the other antibiotics had no risk. The combined ecological risk and the most sensitive trophic level ecological risk assessment showed that all sampling sites had low risk or no risk, and the risk of the dry season was generally greater than that of the wet season. The risk values of some sampling points were close to the medium risk threshold during the dry season, which requires further attention.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142355659","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":"[Remediation Mechanism of Chitosan-modified Biochar on Cd-contaminated Farmland Soil and Its Effect on Bacterial Community].","authors":"Ling Jiang, Xiao-Qiong Yue, Jing-Yue An, Si-Yi Zhang, Jia-Yuan Sun, Zhao-He Li, Li-Hong Chai","doi":"10.13227/j.hjkx.202309113","DOIUrl":"https://doi.org/10.13227/j.hjkx.202309113","url":null,"abstract":"<p><p>To explore the remediation mechanism of chitosan-modified biochar （passivator） on Cd-contaminated farmland soil, pot experiments were conducted to determine the effects of passivator on soil physical and chemical properties, ryegrass biomass, enzyme activity, and the response of soil bacterial diversity and structure. The results showed that when the amount of passivating agent was increased from 0.5% to 3%, the content of available Cd in soil was significantly decreased compared with that in the control, and the above-ground and subsurface biomass of ryegrass was increased by 1.08-1.56 times and 1.00-1.68 times, respectively. The enrichment and running coefficients were reduced by 6.15%-30.00% and 10.42%-31.25%, respectively. The correlation analysis results showed that soil pH, CEC, SOM, AN, AP, and AK were significantly negatively correlated with DTPA-Cd, indicating that the application of a passivating agent promoted the passivation of Cd in soil by changing the physical and chemical properties of soil. High-throughput sequencing results showed that the application of the inactivation agent changed the structure and diversity of the soil bacterial community, which was manifested as a significant decrease in <i>α</i> diversity, significant isolation of bacteria between different treatment groups, and an increase in the relative abundance of beneficial bacteria such as <i>Sphingomonas</i> and <i>Blastococcus.</i> Moreover, the activities of soil urease and cellulase increased, whereas the activities of sucrase and catalase decreased with the addition of a passivator. This study provides a theoretical basis and technical reference for the application of modified biochar in the remediation of Cd-contaminated farmland soil.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142355669","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 Differentiation of Carbon Emissions from Logistics Industry at Provincial Scale in China Under the Background of High-quality Economic Development].","authors":"Lan-Yi Zhang, Yi-Nuo Xu, Da-Wei Weng, Shuo Wang, Xi-Sheng Hu, Rong-Zu Qiu","doi":"10.13227/j.hjkx.202311015","DOIUrl":"https://doi.org/10.13227/j.hjkx.202311015","url":null,"abstract":"<p><p>Since 2010, the Chinese economy has transitioned from a high-speed growth model to a high-quality development model. During this period, the logistics industry has witnessed rapid growth, leading to significant carbon emissions and posing severe threats to the ecological environment. To investigate the spatiotemporal variations in carbon emissions in China's logistics industry, we conducted a correlation analysis using Moran's <i>I</i> index and a bivariate spatial autocorrelation model from 2010 to 2021. Additionally, we employed a geographically and temporally weighted regression model （GTWR） to examine the spatial heterogeneity of factors influencing provincial-level logistics-related carbon emissions. The results indicated that over the study period, there was a shift from insignificant spatial relationships to significant positive spatial correlations among provincial-level logistics carbon emissions in China. Furthermore, varying degrees of spatial clustering were observed. The findings regarding factor heterogeneity revealed that freight turnover volume, per capita GDP of the logistics industry, and infrastructure level exhibited positive spatial correlations with logistics-related carbon emissions, whereas energy intensity showed negative spatial correlations with such emissions. Comparing the results from the geographically weighted regression （GWR） and ordinary least squares regression （OLS）, it was evident that the adjusted R-squared values for the OLS, GWR, and GTWR models were 0.541, 0.567, and 0.838, respectively. This suggests that our adopted GTWR model provided a superior fit and offered better explanations for spatiotemporal heterogeneity between various influencing factors and logistics-related carbon emissions. These research findings can serve as valuable references for formulating province-specific strategies to reduce carbon emissions within China's economy under its high-quality development context.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142355687","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 Grazing on Plant Diversity and Their Carbon Stocks in Different Types of Grasslands].","authors":"Xing-Yu Zhao, Guo-Qiang Han, Sheng-Wei Zhang, Hong-Bin Zhao, Min-Min Liu, Xi Lin, Shuai Wang","doi":"10.13227/j.hjkx.202309235","DOIUrl":"https://doi.org/10.13227/j.hjkx.202309235","url":null,"abstract":"<p><p>With the drying and warming of the climate and irrational grazing, various types of grasslands in Inner Mongolia have been degraded to different degrees, and different management modes will inevitably affect the plant diversity and vegetation carbon stock of soil grasslands. To clarify the changes and influencing factors of plant diversity and carbon stock in different types of grasslands under different management modes, plant species composition, aboveground biomass, and vegetation carbon were analyzed based on 18 sentinel monitoring stations across three different types of grasslands in Inner Mongolia. The results showed that grazing increased the dominance of typical grassland and desert grassland, whereas meadow grassland decreased, and the evenness index and Shannon Wiener diversity index increased less in meadow grassland and desert grassland. Grazing decreased graminaceous biomass in meadow grassland and typical grassland, whereas it increased in desert grassland. Above-ground vegetation and below-ground root carbon stocks were much higher than those in grazing areas, 1.5 and 1.2 higher, respectively, but vegetation carbon stocks in long-term grazing sites were significantly lower than those in short-term grazing. Further, the structural equations showed that the effects of geographic location, climatic factors, and soil factors on the biomass and vegetation carbon stocks of the three grassland types differed significantly. The results can provide a reference for the ecologically sustainable development of grassland and the optimization of management mode.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142355642","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":"[Characterization of the Ecological Niche and Interspecific Connectivity of Plankton in Baiyangdian Lake by Combining Ecological Networks].","authors":"Xiao-Kang Huo, Yong-Gang Wang, Ling-Tong Zhou, Shu-Hang Wang, Xia Jiang, Ke Chen, Peng-Fei Wang","doi":"10.13227/j.hjkx.202309195","DOIUrl":"https://doi.org/10.13227/j.hjkx.202309195","url":null,"abstract":"<p><p>To understand the structure of the plankton community and the ecological niche characteristics of their dominant species, sampling surveys of plankton were conducted in Baiyangdian Lake in the spring （March）, summer （July）, and autumn （September） of 2022. The changes in the plankton community during the three seasons were analyzed by constructing ecological network diagrams, non-metric multidimensional scaling analysis （NMDS）, and the ecological niche width. The niche overlap of zooplankton dominant species was evaluated by the improved Levins' formula and Petraitis' index. The interspecific connectivity of dominant species was judged using the chi-square test and interspecies connectivity coefficients. The results showed that the niche width of plankton in the whole area was low. Zooplankton was dominated by rotifers, and phytoplankton was dominated by diatoms, cyanobacteria, and green algae. There were significant seasonal changes in the community structures of plankton. Compared with that in summer and autumn, there were fewer species of plankton in spring and lower interspecies connectivity. The overlap of dominant species of zooplankton was high in summer, and the interspecific competition was intensified, whereas the interspecific overlap of phytoplankton was at a low level in all three seasons. There was a significant positive correlation （<i>W</i> &gt; <i>χ</i>²_0.05） between phytoplankton in summer and autumn, and the community structure was stable. The interdomain ecological network of zooplankton and phytoplankton showed a high negative correlation ratio in autumn, especially between copepods and cladoceras of zooplankton and chlorophyta and cyanophyta of phytoplankton. The plankton species in Baiyangdian Lake were abundant, with obvious seasonal differences. The dominant species were mainly a narrow ecological niche. The plankton community was generally in a stable state, and there was a strong predation relationship between copepods and cladoceras and green algae and cyanobacteria.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142355650","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 Differentiation of Carbon Budget and Carbon Compensation Zoning Based on the Plan for Major Function-oriented Zones：A Case Study of Counties in the Yellow River Basin].","authors":"Yi-Qi Wang, Wen-Qing Zhen","doi":"10.13227/j.hjkx.202309105","DOIUrl":"https://doi.org/10.13227/j.hjkx.202309105","url":null,"abstract":"<p><p>Exploring the spatiotemporal differentiation of the carbon budget and clarifying the zoning of carbon compensation based on the perspective of the main function-oriented zones is of great significance for promoting regional low-carbon development and achieving the \"dual carbon\" goal. This study was conducted using 550 counties in the Yellow River Basin as the basic unit, and based on the concentration index to examine the spatial distribution characteristics of carbon emissions and carbon absorptions in the main function-oriented zones of the Yellow River Basin, a four-dimensional benchmark framework for carbon compensation zoning was constructed by total scale, economic contribution, ecological carrying capacity, and land development intensity. The SOM-K-means algorithm was used to establish a differentiated carbon compensation zoning scheme. The results showed that： ① The carbon emissions and carbon absorptions and their growth trends of the main function-oriented zones in the Yellow River Basin were in line with the positioning of the main functional area, and the significant space-time distribution characteristics of the concentration level of carbon emissions and carbon absorptions were shown. ② Significant regional differences exist in the four attributes of total carbon emissions scale, economic contribution, ecological carrying capacity, and land development intensity. The overall scale of carbon emissions showed a growth trend, with obvious comparative advantages in the midstream and downstream. The overall comparative advantage of economic contribution increased first and then decreased, with the midstream and downstream being the attribute advantage areas of economic contribution. The overall ecological carrying capacity had been improved, and the upstream had obvious advantages in ecological carrying properties. The advantageous areas for land development were mainly concentrated in the midstream and downstream； in particular, the comparative advantage index in the midstream was showing a rapid upward trend. ③ Moreover, there were 287 compensated areas, 78 balanced areas, and 185 payment areas in the Yellow River Basin. Eleven types of carbon compensation zones were finally formed by combining the comparative advantage index of four types of attributes with the plan for main function-oriented zones, and corresponding low-carbon development strategies were proposed for each type of zone.</p>","PeriodicalId":35937,"journal":{"name":"Huanjing Kexue/Environmental Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142355686","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}