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Cleaner Production of Chinese Cabbage by Intercropping from Historical Cd Contaminated Soil: Effects of Hyperaccumulator Variety and Planting Strip Width

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SSRN 2023年

作者： Yan, Xiulan Li, Junchun Yang, Xiao Tong, Xuejiao Peng, Yutao Deng, Yirong Zhou, Yao-Yu Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Guangdong Key Laboratory of Contaminated Environmental Management and Remediation Guangdong Provincial Academy of Environmental Science Guangdong510045 China Yuhuan Enviromental Technology Co.Ltd Hebei Shijiazhuang050000 China School of Agriculture Sun Yat-sen University Guangdong Shenzhen518107 China College of Resources and Environment Hunan Agricultural University Changsha410128 China

China is a large agricultural country, the aspect of advanced farming technology for securing food production and safety remains inadequate. Intercropping is a reliable technology in safety production from contaminated soil. A field-scale experiment was carried out to unravel how plant species and pattern affect the growth and Cd uptake of Chinese cabbage from historical Cd contaminated land. Among all the intercropping systems designed in this study, one row of Chinese cabbage intercropping with one row of Solanum nigrum L. is the best planting mode (high yields (2.78 kg/m2) and low Cd accumulation (0.02 mg/kg) of Chinese cabbage). Combined with the in-depth joint analysis of diverse soil physicochemical features (soil nutrient characteristics and microbial community structure), biomass yield and quality, and soil microbiological properties, we elaborated that two measures (screening hyperaccumulation types and controlling planting strip width) were the major factors in determining the growth of the aboveground and underground parts of Chinese cabbage respectively, thus directly regulating the application effectiveness of intercropping technology. The intertwined mechanisms (interspecific and intraspecific relationship) of different intercropping systems are summarized, which include better utilization of space, light and other resources in the aboveground part, bioavailability of nutrient, drive of soil bacteria and alleviated soil Cd stress in the underground part, etc. Our research outputs indicate the effectiveness and feasibility of intercropping can be improved by optimizing the streamline configuration and plant mode, which provide theory of reference and practical evidence for warranting the food safety and agricultural soil remediation simultaneously. © 2023, The Authors. All rights reserved.

关键词： Soils

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patterns and Driving Forces of Cropland Abandonment in Mountainous Areas

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Journal of Resources and Ecology 2022年第3期13卷 394-406页

作者： CHEN Shuanglong SONG Wei LIU Yuanzhe LI Han Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Electrical and Information Northeast Agricultural UniversityHarbin 150030China College of geography and Environment Shandong Normal UniversityJinan 250358China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China

Cropland abandonment is spreading from developed countries to developing countries such as *** abandonment in China commonly occurs in mountainous areas due to their specific natural and geographical ***,due to the lack of dependable monitoring methods via medium-high-resolution remote sensing images,the scale of abandoned cropland in many mountainous areas of China is unclear,and the mechanisms driving cropland abandonment have not been clearly *** overcome these limitations,we took Zhong County of Chongqing in China as an example,and used landsat 8 OLI_TIRS remote sensing image data to develop a method for mapping abandoned cropland in mountainous areas based on annual land use change *** the same time,the ridge regression method was adopted to analyze the factors influencing cropland *** analyses showed that the cropland abandonment rate in Zhong County of Chongqing was as high as 7.86%,while the overall accuracy of identifying abandoned cropland was as high as 90.82%.Among the social and economic factors that affect cropland abandonment,the rural population,economic development,and livestock husbandry development were the most important *** the land parcel scale,large-scale cropland abandonment occurred in areas at elevations above 650 m or with slopes of more than 15°.

关键词： cropland abandonment remote sensing driving factors Zhong County China

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Regional Differences and Dynamic Evolution of Indirect Carbon Emissions from Household Consumption in Yunnan Province

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SSRN 2023年

作者： Fu, Wei Li, Long Li, Zhihui Zhao, Chunyan Luo, Mingcan Chen, Jiancheng School of Economics and Management Southwest Forestry University Kunming650233 China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Key Laboratory of Land Surface Pattern and Simulation Chinese Academy of Sciences Beijing100101 China University of Chinese Academy of Sciences Beijing100049 China School of Economics and Management Beijing Forestry University Beijing100083 China

Low-carbon lifestyle has emerged as one of the most significant ways for reducing carbon emissions. Indirect carbon emissions from household consumption (ICEHC) have emerged as a new area of concern in carbon emissions reduction. To gain a deeper understanding of the regional differences and dynamic evolution in ICEHC in Yunnan Province, we measure the ICEHC and ICEHC intensity of cities in Yunnan Province from 2012 to 2021 based on input-output analysis and consumer lifestyle approach. The Dagum Gini coefficient, the kernel density estimator, and the coefficient of variation method are applied to quantitatively analyze the regional disparities, dynamic evolution patterns, and convergence of ICEHC intensity in Yunnan Province. The results show that Yunnan Province's ICEHC are rising annually, but the intensity of those emissions is decreasing, with an average annual decline rate of 4.19%. Northwest Yunnan has the lowest carbon emission intensity, west Yunnan has the highest, and the central Yunnan region is closest to the overall average value of Yunnan Province. Regarding the regional differences of the ICEHC intensity in Yunnan Province, it presents a spatial distribution pattern of "high in the south and west, and low in the north and east". The overall Gini coefficient of ICEHC intensity gradually declines, with intra-regional differences in ICEHC intensity primarily coming from central and northwest Yunnan. In terms of dynamic evolution, the dispersion degree of ICEHC intensity is declining in Yunnan Province as a whole and in each region, and there is no obvious multipolar differentiation, but the ICEHC intensity in central Yunnan is significantly higher than that in other regions. Finally, in terms of convergence characteristics, the ICEHC intensity in each region of Yunnan Province is consistent with σ-convergence characteristics, and the mean value of the overall coefficient of variation is 0.35 and shows a trend of gradually decreasing variation. © 2023, T

关键词： Emission control

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Perfluoroalkyl compounds in groundwater alter the spatial pattern of health risk in an arsenic‑cadmium contaminated region

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Science of the Total Environment 2024年 944卷 173983页

作者： Wang, Yonglu He, Lixia Yang, Liren Zhang, Fengsong Zhang, Ruicong Wang, Huaxin Zhang, Guixiang Zhu, Shiliang Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China University of Chinese Academy of Sciences Beijing100049 China Ji'an Agricultural and Rural Industry Development Service Center Ji'an343000 China Zhongke-Ji'an Institute for Eco-Environmental Sciences Ji'an343000 China National Plateau Wetlands Research Center Southwest Forestry University Kunming650224 China School of Environment and Resources Taiyuan University of Science and Technology Shanxi Province Taiyuan030024 China

Integrated health risk assessment strategies for emerging organic pollutants and heavy metals that coexist in water/soil media are lacking. Contents of perfluoroalkyl compounds and potentially toxic elements in multiple media were determined by investigating a county where a landfill and a tungsten mine coexist. The spatial characteristics and sources of contaminants were predicted by Geostatistics-based and multivariate statistical analysis, and their comprehensive health risks were assessed. The average contents of perfluorooctane acid, perfluorooctanesulfonic acid, arsenic, and cadmium in groundwater were 3.21, 0.77, 1.69, and 0.14 μg L−1, respectively;the maximum content of cadmium in soils and rice highly reached 2.12 and 1.52 mg kg−1, respectively. In soils, the contribution of mine lag to cadmium was 99 %, and fertilizer and pesticide to arsenic was 59.4 %. While in groundwater, arsenic, cadmium and perfluoroalkyl compounds near the landfill mainly came from leachate leakage. Significant correlations were found between arsenic in groundwater and arsenic and cadmium in soils, as well as perfluoroalkyl compounds in groundwater and pH and sulfate. Based on these correlations, the geographically optimal similarity model predicted high-level arsenic in groundwater near the tungsten mine and cadmium/perfluoroalkyl compounds around the landfill. The combination of analytic network process, entropy weighting method and game theory-based trade-off method with risk assessment model can assess the comprehensive risks of multiple pollutants. Using this approach, a high health-risk zone located around the landfill, which was mainly attributed to the presence of arsenic, cadmium and perfluorooctanesulfonic acid, was found. Overall, perfluoroalkyl compounds in groundwater altered the spatial pattern of health risks in an arsenic‑cadmium contaminated area. © 2024 Elsevier B.V.

关键词： Groundwater

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Impact of landscape pattern changes on ecosystem service values in the Fenhe River Basin in China

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Ecohydrology and Hydrobiology 2024年

作者： Zhang, Huixia Wang, Ziyi Zhang, Na Li, Minmin Fan, Yong Yu, Hailong Institute of Geographical Science Taiyuan Normal University Shanxi Yuci 030619 China Shanxi Key Laboratory of Earth Surface Processes and Resource Ecology Security in Fenhe River Valley Taiyuan Normal University Shanxi Yuci 030619 China Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ) & Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural Resources Shenzhen 518123 China School of Artifcial Intelligence Shenzhen Polytechnic University Shenzhen 518055 China College of Resources and Environmental Science Pingdingshan University Henan Pingdingshan 467000 China

The evolution of landscape patterns affects the supply of ecosystem services. It is important to explore the relationship between them to improve regional ecological stability and maintain ecological health. The Fenhe River is the second largest tributary of the Yellow River and it represents a fragile ecological environment. Our study aimed to analyze the impact of changes in landscape patterns on the value of ecosystem services (ESV) in the Fenhe River Basin (FRB). land use data from 2000, 2010, and 2020 were used to extract landscape pattern indices. Methods such as ecosystem service value accounting, sensitivity analysis, correlation analysis, and geodetector modeling were employed to investigate changes in landscape patterns and ESV, and to identify the driving forces and impacts of these changes on ESV. The results showed that (1) from 2000 to 2020, the dominant landscape in the FRB was cultivated land, followed by forestland and grassland, which together covered 92% of the total area. (2) Over the past 20 years, the extent of landscape fragmentation had continued to increase and ecological function had deteriorated. (3) ESV had continued to decrease. The ESV provided by the regulating service function was the largest, accounting for over 49% of the total ESV. Support service function was second, accounting for over 34%. (4) The total ESV had a strong negative correlation with Shannon's diversity index (SHDI) and Shannon's evenness index(SHEI), a significant positive correlation with Contagion index (CONTAG). (5)The Human Activity Index (HAI) had a significant impact on changes in ESV, with an influence value of 0.6192, and its synergistic effect with NDVI further enhances this impact, achieving a synergy score of 0.71. Additionally, natural factors such as topography and climate also had significant effects on ESV *** study provides an evidence-based theoretical reference to guide the enhancement of the natural environment of the FRB and maintain hig

关键词： Correlation analysis Ecosystem service value Influencing factors landscape pattern Spatiotemporal change

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Monitoring periodically national land use changes and analyzing their spatiotemporal patterns in China during 2015–2020

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Journal of Geographical Sciences 2022年第9期32卷 1705-1723页

作者： KUANG Wenhui ZHANG Shuwen DU Guoming YAN Changzhen WU Shixin LI Rendong LU Dengsheng PAN Tao NING Jing GUO Changqing DONG Jinwei BAO Yuhai CHI Wenfeng DOU Yinyin HOU Yali YIN Zherui CHANG Liping YANG Jiuchun XIE Jiali QIU Juan ZHANG Hansong ZHANG Yubo YANG Shiqi SA Rigai LIU Jiyuan Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchCASBeijing100101China Northeast Institute of Geography and Agroecology CASChangchun130102China Northeast Agricultural University Harbin150030China Northwest Institute of Eco-Environment and Resources CASLanzhou730000China Xinjiang Institute of Ecology and Geography CASUrumqi830011China Innovation Academy for Precision Measurement Science and Technology CASWuhan430071China Fujian Normal University Fuzhou350007China Qufu Normal University RizhaoShandong276826China Inner Mongolia Normal University Hohhot010022China Inner Mongolia University of Finance and Economics Hohhot010070China University of Chinese Academy of Sciences Beijing100049China Jilin University Changchun130000China

High-resolution mapping and monitoring of national land use/cover changes contribute significantly to the knowledge of the interaction between human activities and environmental ***’s land Use/cover Dataset(CLUD)for 2020 and its dynamic changes in 2015-2020 were developed to extend the CLUD to over 30 years(i.e.,the 1980s to 2020 at 5-year intervals)by integrating remote sensing big data and knowledge-based human-computer interaction interpretation *** integrating method for CLUD 2020 improved the efficiency of national land use/cover mapping and the accuracy of land use pattern change detection compared to earlier CLUD products,with an overall accuracy of 95%.The intensity of land use change decreased across China in 2015-2020 compared to 2010-2015,although both characteristics of its spatial changes were *** cropland area continued to shrink at national scale in 2015-2020,with two regional hotspots including the widespread conversions from dry land into paddy land in Northeast China and the coexistence of widespread land cultivation and cropland abandonment in Xinjiang of Northwest ***-up land area continued to expand in China,showing consistency between 2015-2020 and 2010-2015,in which hotspots transited from the surroundings of coastal megacities to the city surroundings of the central and western *** natural land,although the woodland and grassland decreased in 2015-2020,its magnitude expanded compared to *** comparison,the water body area in Qinghai-Tibet Plateau increased significantly under the continuous impact of climate *** characteristics of land use change were closely related to the development strategy of the top-level design of the 13th Five-Year Plan(2016-2020)(e.g.,ecological civilization construction and high-quality development).

关键词： land use spatial pattern cropland change urban expansion cloud computation remote sensing China

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Carbon Neutral Winter Olympics 2022 Ascribe to Carbon Reduction Measures, Afforestation, and Covid-19 Restrictions

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SSRN 2022年

作者： Liao, Xiaoyong Zhong, Shuai Huang, Jie Liu, Zhu Elshkaki, Ayman Li, You Shen, Lei He, Yingli An, Li Zhu, Yidong Sun, Wenhao Liang, Tao Wang, Jiaoe Dong, Jinwei Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China China China Department of Earth System Science Tsinghua University Beijing100084 China College of Urban and Environmental Sciences Peking University Beijing100871 China

The 2022 Winter Olympic Games in Beijing claims to be carbon neutral by embedding green measures at all phases of the event, even under the uncertainty of the COVID pandemic. Here based on a comprehensive framework of 27 indicators to systematically evaluate the total carbon emission before, during, and after the Games, we found that the 2022 Winter Olympic Games is beyond carbon neutrality, as a carbon sink of 2316 (2093-2538 at 95% confidence) ktons, largely due to carbon reduction from reusing old venues and the fewer audience due to China’s strict COVID-19 restrictions by 1721 and 326 ktons CO2 respectively. Besides, the carbon sink from afforestation is 1709 (1404–2013) ktons. Recycling measures, especially reusing sports venues, contributed much higher to carbon neutrality than low-carbon technologies, suggesting optimal pathways of emission reduction are crucial. The study demonstrated the potential of broader carbon-neutral activities in China. © 2022, The Authors. All rights reserved.

关键词： COVID-19

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Different Effects of Increased Water and Nitrogen on Seasonal Soil N2o Emissions from Native Semiarid Grassland in Inner Mongolia, China

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SSRN 2022年

作者： Guo, Yu Peng, Qin Qi, Yunchun Li, Zhaolin Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China National Observation and Research Station of Earth Critical Zone on the Loess Plateau in Shaanxi Xi’an710061 China

Semi-arid temperate grasslands in northern China were wildly considered as the source of the greenhouse gases nitrous oxide (N2O). Since the annual precipitation and nitrogen (N) deposition were predicted to increase, individual and interactive effects of water or N addition on N2O emissions had been attracted much attention. However, their effects during non-growing season were still limited. We investigated the dynamic of year-round N2O emission after 4-years water and N addition in a typical semi-arid temperate grassland in Inner Mongolia grassland in this study. The results confirmed the semi-arid temperate grassland as a source of N2O emission. The meteorological events and the treatments resulted in variation of N2O fluxes. The N2O emission from non-growing season accounted for approximately 65% of annual budget. But the emission pulses before winter cover less than 5%. The temperature dominated the patterns of N2O emission for both growing season and non-growing season. And the effects of water and N addition on N2O emission showed differences for growing and non-growing season. The effects on N2O emissions were more intensity during growing season, showed directly and indirectly pathways. But the effects took place indirectly through soil moisture and substation and MBC during non-growing season. © 2022, The Authors. All rights reserved.

关键词： Climate change

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Characterization and Role of Molecular Size-Fractionated Colloids on Arsenic Mobilization in surface Water Around Shimen Realgar Mine

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SSRN 2022年

作者： Yu, Zhenzhen Yang, Fen Li, Zhiying Wei, Chaoyang Jiang, Bin Dai, Weijie Feng, Hanxiao Zhang, Ping Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Institute of Geographical Sciences Henan Academy of Sciences Zhengzhou450052 China State Key Laboratory of Organic Geochemistry Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou510640 China University of Chinese Academy of Sciences Beijing100049 China

The mobility and transport of As in natural water are largely influenced by the inorganic components and dissolved organic matter (DOM) of colloids, but little is known about the characteristics of different molecular weights (MW) of colloids and their impacts on As mobilization. Therefore, the bulk surface water ( © 2022, The Authors. All rights reserved.

关键词： surface waters

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Characteristics of the modern pollen assemblages from different vegetation zones in Northeast China:Implications for pollen-based climate reconstruction

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Science China Earth Sciences 2019年第10期62卷 1564-1577页

作者： Qiaoyu CUI Yan ZHAO Feng QIN Chen LIANG Quan LI Rongwei GENG Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China University of Chinese Academy of Sciences Beijing100049China

Northeast China is an essential area for studying the strength of East Asian Summer Monsoon(EASM), due to its northernmost location in EASM domain. However, the lack of sufficient modern pollen data in this region hinders an effective interpretation of fossil pollen records and quantitative vegetation/climate reconstructions. Here, 44 surface pollen samples from forest, steppe, and meadow were used to explore pollen-vegetation-climate relationships. Cluster analysis, species indicator analysis, and principal components analysis, were used to identify the discontinuous and continuous trends in pollen dataset. In addition, correlation analysis and boosted regression trees were used to investigate primary explanatory variables, while coinertia analysis and redundancy analysis to examine pollen-vegetation and pollen-climate correlations respectively. Our results show that:(1) vegetation can be well represented by surface pollen assemblages, i.e. forest is characterized by a high proportion of tree pollen(>70%) dominated by Betula(>40%) along with Alnus, Larix, and Pinus, whereas Steppe by herb pollen(>80%),dominated by Artemisia, Chenopodiaceae;(2) significant correlations exist between pollen assemblages and mean annual temperature and then mean annual precipitation;(3) pollen ratios of Artemisia/Chenopodiaceae and arboreal/non-arboreal can respectively be used as good indicators of humidity and temperature in Northeast China.

关键词： Northeast China Modern pollen assemblages Pollen-vegetation relationships Pollen-climate relationships Climate reconstruction

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