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Guo L, Huang T, Ling Z, Zhang J, Lian L, Song S, Ren J, Zhang M, Zhao Y, Mao X, Gao H, Ma J. Global trade-driven transfer of atmospheric polycyclic aromatic hydrocarbon emissions and associated human inhalation exposure risk. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 355:120438. [PMID: 38422853 DOI: 10.1016/j.jenvman.2024.120438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 02/05/2024] [Accepted: 02/20/2024] [Indexed: 03/02/2024]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) are of significant public concern because of their toxicity and long-range transport potential. Extensive studies have been conducted to explore the source-receptor relationships of PAHs via atmospheric transport. However, the transfer of trade-driven regional and global PAHs is poorly understood. This study estimated the virtual PAHs emission transfer embodied in global trade from 2004 to 2014 and simulated the impact of international trade on global contamination and associated human inhalation exposure risk of PAHs. Results show that trade-driven PAHs flowed primarily from developed to less-developed regions, particularly in those regions with intensive heavy industries and transportation. As the result, international trade resulted in an increasing risk of lung cancer induced by exposure to PAHs (27.8% in China, 14.7% in India, and 11.3% in Southeast Asia). In contrast, we found decreasing risks of PAHs-induced lung cancer in Western Europe (63.2%) and the United States (45.9%) in 2004. Our findings indicate that final demand and emission intensity are the key driving factors contributing to rising and falling consumption-based PAHs emissions and related health risk respectively. The results could provide a useful reference for global collaboration in the reduction of PAHs pollution and related health risks.
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Affiliation(s)
- Liang Guo
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, PR China
| | - Tao Huang
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, PR China.
| | - Zaili Ling
- College of Agricultural and Forestry Economics & Management, Lanzhou University of Finance and Economics, Lanzhou, 730000, PR China
| | - Jiaxuan Zhang
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, PR China
| | - Lulu Lian
- College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, PR China
| | - Shijie Song
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, PR China
| | - Ji Ren
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, PR China
| | - Menglin Zhang
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, PR China
| | - Yuan Zhao
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, PR China
| | - Xiaoxuan Mao
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, PR China
| | - Hong Gao
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, PR China
| | - Jianmin Ma
- Key Laboratory for Environmental Pollution Prediction and Control, Gansu Province, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, PR China; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, PR China
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Li Y, Zhong Q, He P, Chen L, Zhou H, Wu X, Liang S. Dietary shifts drive the slowdown of declining methylmercury related health risk in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 340:122793. [PMID: 37879551 DOI: 10.1016/j.envpol.2023.122793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 10/16/2023] [Accepted: 10/22/2023] [Indexed: 10/27/2023]
Abstract
Chinese population suffers severe health risk from dietary methylmercury (MeHg) exposure. However, the temporal change of such risk and socioeconomic driving factors remain unknown. This study investigates this issue by compiling time-series inventory of China's MeHg-related health risk at the provincial scale and revealing critical socioeconomic influencing factors through structural decomposition analysis. Results show that the per-fetus IQ decrements from dietary MeHg exposure have declined by 60% nationally during 2004-2019. Such decline results from the joint effects of dietary shifts (contributing 44%) and the decrease of MeHg concentrations in foods consumed (contributing 56%). However, the declining trend has slowed down since 2014 and even leveled off after 2016, which is mainly affected by dietary pattern changes. Especially, the increased intake level and proportion of fishes in underdeveloped provinces of China have dominated the slowdown of declining trend after 2016. Moreover, the affluence and education levels have significantly negative associations with per-fetus IQ decrements. Rich and well-educated people have higher ability of risk perception, which indicates the importance of rational consumption patterns. Our findings can help develop socioeconomic regulatory policies on reducing per-fetus IQ decrements from dietary MeHg exposure in China.
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Affiliation(s)
- Yumeng Li
- School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Qiumeng Zhong
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, Guangdong, 510006, China
| | - Pan He
- School of Earth and Environmental Sciences, Cardiff University, Cardiff, UK
| | - Long Chen
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
| | - Haifeng Zhou
- School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Xiaohui Wu
- School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Sai Liang
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, Guangdong, 510006, China.
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3
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Zhang X, Zhong Q, Chang W, Li H, Liang S. A high spatial resolution dataset for methylmercury exposure in Guangdong-Hong Kong-Macao Greater Bay Area. Sci Data 2023; 10:706. [PMID: 37848476 PMCID: PMC10582186 DOI: 10.1038/s41597-023-02597-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 09/26/2023] [Indexed: 10/19/2023] Open
Abstract
Dietary methylmercury (MeHg) exposure increases the risk of many human diseases. The Guangdong-Hong Kong-Macao Greater Bay Area (GBA) is the world's most populous bay area and people there might suffer a high risk of dietary MeHg exposure. However, there lacks a time-series high spatial resolution dataset for dietary MeHg exposure in the GBA. This study constructs a high spatial resolution (1 km × 1 km) dataset for dietary MeHg exposure in the GBA during 2009-2019. It first constructs the dietary MeHg exposure inventory for each county/district of the GBA, based on MeHg concentrations of foods (i.e., rice and fish in this study) and per capita rice and fish intake. Subsequently, this study spatializes the dietary MeHg exposure inventory at 1 km × 1 km scale, using gridded data for food consumption expenditure as the proxy. This dataset can describe the spatially explicit hotspots, distribution patterns, and variation trend of dietary MeHg exposure in the GBA. This dataset can support spatially explicit evaluation of MeHg-related health risks in the GBA.
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Affiliation(s)
- Xiaoxin Zhang
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, Guangdong, 510006, China
| | - Qiumeng Zhong
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, Guangdong, 510006, China
| | - Weicen Chang
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, Guangdong, 510006, China
| | - Hui Li
- School of Environment, Beijing Normal University, Beijing, 100875, China
| | - Sai Liang
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, Guangdong, 510006, China.
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4
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Yang M, Liang S, Zhou H, Li Y, Zhong Q, Yang Z. Consumption in Non-Pastoral Regions Drove Three-Quarters of Forage-Livestock Conflicts in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:7721-7732. [PMID: 37163752 DOI: 10.1021/acs.est.3c00425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Forage-livestock conflict (FLC) is a major anthropogenic cause of rangeland degradation. It poses tremendous threats to the environment owing to its adverse impacts on carbon sequestration, water supply and regulation, and biodiversity conservation. Existing policy interventions focus on the in situ FLCs induced by local production activities but overlook the role of consumption activities in driving FLCs. Here, we investigate the spatiotemporal variations in China's FLCs and the domestic final consumers at the county level by combining remote sensing data and multi-regional input-output model. Results show that during 2005-2015, China's pastoralism induced an average of 82 million tons of FLCs per year. Domestic final demand was responsible for 85-93% of the FLCs in China. There was spatiotemporal heterogeneity in domestic consumption driving China's FLCs. In particular, the final demand of non-pastoral regions was responsible for around three-quarters (74-79%) of the total FLCs throughout the decade. The rangeland-based livestock raising, agricultural and sideline product processing, and catering sectors are important demand-side drivers. These findings can support targeted demand-side strategies and interregional cooperation to reduce China's FLCs, thus mitigating rangeland degradation.
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Affiliation(s)
- Mingyue Yang
- School of Environment, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Sai Liang
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, People's Republic of China
| | - Haifeng Zhou
- School of Environment, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Yumeng Li
- School of Environment, Beijing Normal University, Beijing 100875, People's Republic of China
| | - Qiumeng Zhong
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, People's Republic of China
| | - Zhifeng Yang
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, People's Republic of China
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Guo Z, Bai X, Liu S, Luo L, Hao Y, Lv Y, Xiao Y, Yang J, Tian H. Heterogeneous Variations on Historical and Future Trends of CO 2 and Multiple Air Pollutants from the Cement Production Process in China: Emission Inventory, Spatial-Temporal Characteristics, and Scenario Projections. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:14306-14314. [PMID: 36172692 DOI: 10.1021/acs.est.2c04445] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Cement production is a major contributor to carbon dioxide (CO2) and multiple hazardous air pollutant (HAP) emissions, threatening climate mitigation and urban/regional air quality improvement. In this study, we established a comprehensive emission inventory by coupling the unit-based bottom-up and mass balance methods, revealing that emissions of most HAPs have been remarkably controlled. However, an increasing 6.0% of atmospheric mercury emissions, as well as 14.1 and 23.7% of fuel-related and process-related CO2 emission growth were witnessed unexpectedly. Industrial adjustment policies have imposed a great impact on the spatiotemporal changes in emission characteristics. Monthly emissions of CO2 and multiple HAPs decreased from December to February due to the "staggered peak production," especially in northern China after implementing the intensified action plan for air pollution control in winter. Upgrading environmental technologies and adjusting capacity structures are identified as dominant driving forces for reducing HAP emissions. Besides, energy intensity improvement can help offset some of the impact caused by the increase in clinker/cement production. Furthermore, scenario analysis results show that ultra-low emission and low-carbon technology transformation constitute the keys to achieve the synergic reduction of CO2 and multiple HAP emissions in the future.
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Affiliation(s)
- Zhihui Guo
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
- Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Xiaoxuan Bai
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
- Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Shuhan Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
- Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Lining Luo
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
- Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Yan Hao
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Yunqian Lv
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
- Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Yifei Xiao
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
- Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Junqi Yang
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
- Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
- Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
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Mao L, Ren W, Liu X, Lin C, Wang Z, Wang B, Xin M, He M, Ouyang W. Occurrence, allocation and geochemical controls for mercury in a typical estuarine ecosystem: Implications for the predictability of mercury species. MARINE POLLUTION BULLETIN 2022; 183:114052. [PMID: 35998525 DOI: 10.1016/j.marpolbul.2022.114052] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 08/07/2022] [Accepted: 08/15/2022] [Indexed: 06/15/2023]
Abstract
In this study, surface seawater, bottom seawater and surface sediments were collected from the Yellow River Estuary Area (YREA) and the Laizhou Bay (LB) to investigate the occurrence, spatial distribution and geochemical control factors for total mercury (THg) and methylmercury (MeHg) in different phases. The geochemical characteristics of seawater and sediments suggested significant variances in the YREA and the LB. The high contamination of Hg in the YREA showed the discharge of the Yellow River (YR) contributed significantly to the Hg contamination in the LB. The partial least squares regression (PLSR) model was utilized to explore the complicated interactions between geochemical controls and methylation potentials in different phases. Although the ecological risk (ER) of Hg was not significant in this study area, the higher values of ER in the YREA suggested that the YR was the primary Hg contributor to LB. Therefore, the potential Hg risk should not be ignored.
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Affiliation(s)
- Lulu Mao
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Wenbo Ren
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Xitao Liu
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China.
| | - Chunye Lin
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Zongxing Wang
- The First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
| | - Baodong Wang
- The First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
| | - Ming Xin
- The First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
| | - Mengchang He
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Wei Ouyang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China; Advanced Interdisciplinary Institute of Environment and Ecology, Beijing Normal University, Zhuhai 519087, China
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Li Y, Chen L, Liang S, Zhou H, Liu YR, Zhong H, Yang Z. Looping Mercury Cycle in Global Environmental-Economic System Modeling. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:2861-2879. [PMID: 35129955 DOI: 10.1021/acs.est.1c03936] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The Minamata Convention on Mercury calls for Hg control actions to protect the environment and human beings from the adverse impacts of Hg pollution. It aims at the entire life cycle of Hg. Existing studies on the Hg cycle in the global environmental-economic system have characterized the emission-to-impact pathway of Hg pollution. That is, Hg emissions/releases from the economic system can have adverse impacts on human health and ecosystems. However, current modeling of the Hg cycle is not fully looped. It ignores the feedback of Hg-related environmental impacts (including human health impacts and ecosystem impacts) to the economic system. This would impede the development of more comprehensive Hg control actions. By synthesizing recent information on Hg cycle modeling, this critical review found that Hg-related environmental impacts would have feedbacks to the economic system via the labor force and biodiversity loss. However, the interactions between Hg-related activities in the environmental and economic systems are not completely clear. The cascading effects of Hg-related environmental impacts to the economic system throughout global supply chains have not been revealed. Here, we emphasize the knowledge gaps and propose possible approaches for looping the Hg cycle in global environmental-economic system modeling. This progress is crucial for formulating more dynamic and flexible Hg control measures. It provides new perspectives for the implementation of the Minamata Convention on Mercury.
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Affiliation(s)
- Yumeng Li
- School of Environment, Beijing Normal University, Beijing 100875, P. R. China
| | - Long Chen
- Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, P. R. China
| | - Sai Liang
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, P. R. China
| | - Haifeng Zhou
- School of Environment, Beijing Normal University, Beijing 100875, P. R. China
| | - Yu-Rong Liu
- College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, P. R. China
| | - Huan Zhong
- State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing 210023, P. R. China
| | - Zhifeng Yang
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, P. R. China
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Deshmukh PP, Malankar GS, Sakunthala A, Navalkar A, Maji SK, Murale DP, Saravanan R, Manjare ST. An efficient chemodosimeter for the detection of Hg(II) via diselenide oxidation. Dalton Trans 2022; 51:2269-2277. [PMID: 35073568 DOI: 10.1039/d1dt04038c] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Mercury ions are toxic and exhibit hazardous effects on the environment and biological systems, and thus demand for the selective and sensitive detection of mercury has become considerably an important issue. Here, we have developed a diselenide containing coumarin-based probe 3 for the selective detection of Hg(II) with a "turn-on" response (a 48 fold increase in fluorescence intensity) at 438 nm. The probe could quantitatively detect Hg(II) with a detection limit of 1.32 μM in PBS solution. Moreover, the probe has operable efficiency over the physiological range with an increase in the quantum yield from 1.2% to 57.3%. The reaction of the probe with Hg(II) yielded a novel monoselenide based coumarin 4via diselenide oxidation, which was confirmed by single crystal XRD. Furthermore, the biological use of the probe for the detection of Hg(II) was confirmed in the MCF-7 cell line. To the best of our knowledge, this is the first reaction-based probe for Hg(II) via diselenide oxidation.
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Affiliation(s)
| | - Gauri S Malankar
- Department of Chemistry, University of Mumbai, Mumbai, 400098, India.
| | - Arunima Sakunthala
- Department of Biosciences and Bioengineering, IIT Bombay, Mumbai, 400076, India
| | - Ambuja Navalkar
- Department of Biosciences and Bioengineering, IIT Bombay, Mumbai, 400076, India
| | - Samir K Maji
- Department of Biosciences and Bioengineering, IIT Bombay, Mumbai, 400076, India
| | - Dhiraj P Murale
- Molecular Recognition Research Center, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea
| | - Raju Saravanan
- Department of Chemistry, IIT Bombay, Mumbai, 400076, India
| | - Sudesh T Manjare
- Department of Chemistry, University of Mumbai, Mumbai, 400098, India.
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Zhang Q, Qi J, Cheng B, Yu C, Liang S, Wiedmann TO, Liu Y, Zhong Q. Planetary Boundaries for Forests and Their National Exceedance. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:15423-15434. [PMID: 34694781 DOI: 10.1021/acs.est.1c02513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Achieving forest sustainability is a declared sustainable development goal (SDG 15). Measuring the safe operating space─planetary boundaries─of global forests is essential to determine global forest pressure and manage forests sustainably. Here, we quantify the forestry planetary boundary (FPB) and national forestry boundaries. Results show that, in 2015, the FPB was 7.1 billion m3 of forest stock increments. Global timber harvests account for 58.7% of the FPB. Timber harvests of 47 nations, mostly in Africa and Asia, have exceeded their national forestry boundaries. Their boundary-exceeding timber harvest is mainly driven by the final demand of developed nations (e.g., the United States and Japan) and emerging economies (e.g., India and China) through global supply chains. This study highlights the importance of the FPB in global forest management and trade-related policymaking. The findings can guide global and national forest harvesting activities and help promote international cooperation to mitigate global deforestation.
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Affiliation(s)
- Qian Zhang
- School of Economics and Management, Beijing Forestry University, Beijing 100083, People's Republic of China
| | - Jianchuan Qi
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, Guangdong 510006, People's Republic of China
| | - Baodong Cheng
- School of Economics and Management, Beijing Forestry University, Beijing 100083, People's Republic of China
| | - Chang Yu
- School of Economics and Management, Beijing Forestry University, Beijing 100083, People's Republic of China
| | - Sai Liang
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, Guangdong 510006, People's Republic of China
| | - Thomas O Wiedmann
- School of Civil and Environmental Engineering, The University of New South Wales, Sydney, New South Wales 2052, Australia
| | - Yu Liu
- Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, People's Republic of China
- School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Qiumeng Zhong
- Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, Institute of Environmental and Ecological Engineering, Guangdong University of Technology, Guangzhou, Guangdong 510006, People's Republic of China
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