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学者姓名：王前锋
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Amidst the escalating impacts of global warming, the occurrence and severity of compound extreme weather events have risen significantly, presenting substantial threats to both lives and property. Existing response strategies predominantly focus on individual events, often overlooking the cumulative effects rising from their inherent complexity. To address this critical gap, we conducted a thorough examination of sequential extreme precipitation-heatwave compound events (SEPHCE) in China from 1975 to 2020, utilizing data from 1929 meteorological stations. Our investigation revealed a consistent rise in the frequency and duration of SEPHCE, with a particularly notable surge since 1993. Furthermore, shorter interval events disproportionately affected the regions of southwestern and southeast coastal China. Furthermore, SEPHCE onset times exhibited advancement, and the endings were delayed, thereby intensifying the overall trend. These findings underscore the pressing need to prioritize effective planning and adaptation strategies to mitigate the impact of these compound event, while also addressing the potential exacerbation of inequality resulting from climate change.
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| GB/T 7714 | Miao, Lijuan , Ju, Lei , Sun, Shao et al. Unveiling the dynamics of sequential extreme precipitation-heatwave compounds in China [J]. | NPJ CLIMATE AND ATMOSPHERIC SCIENCE , 2024 , 7 (1) . |
| MLA | Miao, Lijuan et al. "Unveiling the dynamics of sequential extreme precipitation-heatwave compounds in China" . | NPJ CLIMATE AND ATMOSPHERIC SCIENCE 7 . 1 (2024) . |
| APA | Miao, Lijuan , Ju, Lei , Sun, Shao , Agathokleous, Evgenios , Wang, Qianfeng , Zhu, Zhiwei et al. Unveiling the dynamics of sequential extreme precipitation-heatwave compounds in China . | NPJ CLIMATE AND ATMOSPHERIC SCIENCE , 2024 , 7 (1) . |
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The future state of drought in China under climate change remains uncertain. This study investigates drought events, focusing on the region of China, using simulations from five global climate models (GCMs) under three Shared Socioeconomic Pathways (SSP1-2.6, SSP3-7.0, and SSP5-8.5) participating in the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3b). The daily Standardized Precipitation Evapotranspiration Index (SPEI) is employed to analyze drought severity, duration, and frequency over three future periods. Evaluation of the GCMs' simulations against observational data indicates their effectiveness in capturing historical climatic change across China. The rapid increase in CO2 concentration under high-emission scenarios in the mid- and late-future century (2040-2070 and 2071-2100) substantially influences vegetation behavior via regulation on leaf stomata and canopy structure. This regulation decelerates the increase in potential evapotranspiration, thereby mitigating the sharp rise in future drought occurrences in China. These findings offer valuable insights for policymakers and stakeholders to develop strategies and measures for mitigating and adapting to future drought conditions in China.
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| GB/T 7714 | Xu, Feng , Qu, Yanping , Bento, Virgilio A. et al. Understanding climate change impacts on drought in China over the 21st century: a multi-model assessment from CMIP6 [J]. | NPJ CLIMATE AND ATMOSPHERIC SCIENCE , 2024 , 7 (1) . |
| MLA | Xu, Feng et al. "Understanding climate change impacts on drought in China over the 21st century: a multi-model assessment from CMIP6" . | NPJ CLIMATE AND ATMOSPHERIC SCIENCE 7 . 1 (2024) . |
| APA | Xu, Feng , Qu, Yanping , Bento, Virgilio A. , Song, Hongquan , Qiu, Jianxiu , Qi, Junyu et al. Understanding climate change impacts on drought in China over the 21st century: a multi-model assessment from CMIP6 . | NPJ CLIMATE AND ATMOSPHERIC SCIENCE , 2024 , 7 (1) . |
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Land use and land cover change (LUCC) can alter surface properties, such as albedo, roughness, and vegetation coverage, directly affecting dust emissions and aerosol concentrations, leading to variations in direct radiative forcing (DRF) of dust aerosols and consequently impacting the climate. This study utilized the Weather Research and Forecasting model with Chemistry (WRF-Chem) to quantify the impact of LUCC in northern China from 2000 to 2020 on dust aerosol DRF. Results indicated that LUCC's influence on shortwave radiative forcing of dust was significantly greater than its influence on longwave radiative forcing and exhibited obvious seasonal variations. Overall, LUCC can cause net direct radiative forcing to increase by 5.3 W m−2 at the surface and decrease by 7.8 W m−2 in the atmosphere. Different types of LUCC transformation showed distinct impacts on dust aerosol DRF, with the conversion from sparse vegetation to barren land had the most significant effect on net radiative intensity, resulting in a decrease of 8.1 W m−2 at the surface, an increase of 12.2 W m−2 in the atmosphere, and an increase of 4.1 W m−2 at the top of the atmosphere. Conversely, the conversion from barren land to sparse vegetation led to surface cooling and atmospheric warming. These findings are of great significance for enhancing our knowledge of the effects of LUCC on the radiative balance of dust aerosols. © 2024 Elsevier Ltd
Keyword ：
China China Climate Climate Direct radiative forcing Direct radiative forcing Dust aerosol Dust aerosol LUCC LUCC WRF-Chem WRF-Chem
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| GB/T 7714 | Wang, W. , Song, H. , Min, R. et al. LUCC-induced dust aerosol change increase surface and reduce atmospheric direct radiative forcing in Northern China [J]. | Journal of Environmental Management , 2024 , 368 . |
| MLA | Wang, W. et al. "LUCC-induced dust aerosol change increase surface and reduce atmospheric direct radiative forcing in Northern China" . | Journal of Environmental Management 368 (2024) . |
| APA | Wang, W. , Song, H. , Min, R. , Wang, Q. , Qi, M. . LUCC-induced dust aerosol change increase surface and reduce atmospheric direct radiative forcing in Northern China . | Journal of Environmental Management , 2024 , 368 . |
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Potential toxic metal (PTM) is hazardous to human health, but the mechanism of spatial heterogeneity of PTM at a macro-scale remains unclear. This study conducts a meta-analysis on the data of PTM concentrations in the soil of 164 major cities in China from 2006 to 2021. It utilizes spatial analysis methods and geodetector to investigate the spatial distribution characteristics of PTMs. The geographic information systems (GIS) and geodetector were used to investigate the spatial distribution characteristics of PTMs, assess the influence of natural factors (NFs) and anthropogenic factors (AFs) on the spatial heterogeneity of PTMs in urban soils, and identified the potential pollution areas of PTMs. The results indicated that the pollution levels of PTMs in urban soils varied significantly across China, with higher pollution levels in the south than in the north. Cd and Hg were the most severely contaminated elements. The geodetector analysis showed that temperature and precipitation in NFs and land use type in AFs were considered as the main influencing factors, and that both AF and NF together led to the PTM variation. All these factors showed a mutually enhancing pattern which has important implications for urban soil management. PTM high-risk areas were identified to provide early warning of pollution risk under the condition of climate change. © The Author(s), under exclusive licence to Springer Nature B.V. 2024.
Keyword ：
Geodetector Geodetector High-risk areas High-risk areas Influencing factors Influencing factors Potential toxic metal Potential toxic metal Urban soil Urban soil
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| GB/T 7714 | Zeng, Y. , Liu, X. , Li, Y. et al. Analysis of driving factors for potential toxic metals in major urban soils of China: a geodetetor-based quantitative study [J]. | Environmental Geochemistry and Health , 2024 , 46 (10) . |
| MLA | Zeng, Y. et al. "Analysis of driving factors for potential toxic metals in major urban soils of China: a geodetetor-based quantitative study" . | Environmental Geochemistry and Health 46 . 10 (2024) . |
| APA | Zeng, Y. , Liu, X. , Li, Y. , Jin, Z. , Shui, W. , Wang, Q. . Analysis of driving factors for potential toxic metals in major urban soils of China: a geodetetor-based quantitative study . | Environmental Geochemistry and Health , 2024 , 46 (10) . |
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植被物候直接影响其生物量，调控生态系统碳循环过程。目前，气候变化(尤其干旱)对中国中高纬度植被物候的影响依然不清楚。因此，文章基于GIMMS NDVI3g数据集，提取中国30°N以北地区中多种植被类型生长季的开始日期(Start of the Season, SOS)与结束日期(End of the Season, EOS)两物候参数。然后结合野外观测数据，验证提取物候参数结果可靠性，并结合饱和水汽压差(Vapor Pressure Deficit, VPD)与改进后的标准化降水蒸散指数(Standardized Precipitation Evapotranspiration Index, SPEI)探究植被物候对干旱的响应特征规律。结果表明：(1)不同地区的植被物候变化呈现明显的差异性，单季植被与双季植被第1个生长季的SOS集中在每年的第30～180天，而双季植被第2个生长季的SOS集中在每年的第200～220天。单季植被与双季植被第1个生长季的EOS主要集中在每年的第180～300天，双季植被第2个生长季的EOS主要集中在每年的第260～300天。(2)森林季前VPD的上升导致植被的SOS提前及EOS延迟；草地季前VPD上升导致植被的SOS滞后以及EOS提前。(3)研究区内大部分地区的SPEI与植被的SOS、EOS均呈正相关，即干旱促使该地区植被的SOS、EOS提前。
Keyword ：
标准化降水蒸散发指数 标准化降水蒸散发指数 植物生长季开始日期 植物生长季开始日期 植物生长季结束日期 植物生长季结束日期 植被物候 植被物候 饱和水汽压差 饱和水汽压差
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| GB/T 7714 | 王前锋 , 陆锦阔 , 张容容 . 中国中高纬地区植被物候对干旱的响应特征研究 [J]. | 华南师范大学学报(自然科学版) , 2024 , 56 (03) : 70-79 . |
| MLA | 王前锋 et al. "中国中高纬地区植被物候对干旱的响应特征研究" . | 华南师范大学学报(自然科学版) 56 . 03 (2024) : 70-79 . |
| APA | 王前锋 , 陆锦阔 , 张容容 . 中国中高纬地区植被物候对干旱的响应特征研究 . | 华南师范大学学报(自然科学版) , 2024 , 56 (03) , 70-79 . |
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The Yellow River basin of China has experienced significant land use and land cover change (LUCC) due to excessive exploitation of nature resources, ecological degradation, and rapid urbanization, which plays an important role in the regional climate. It is crucial to explore the climate patterns of the basin under different future development scenarios to mitigate climate issues and achieve "carbon peaking and carbon neutrality goals ". Here we utilized land use and land cover (LULC) data and projections of future climate under two shared socioeconomic path - representative concentration path (SSP245 and SSP585) scenarios. Using the Weather Research and Forecasting (WRF) model, we simulated four future spatial variation patterns of temperature and precipitation in the basin. Results indicated that under the SSP245 and SSP585 scenarios, the temperature is projected to increase by 0.18 degrees C and 0.46 degrees C, respectively, while precipitation is expected to rise by 32.21 mm and 134.24 mm, respectively. The impact of LUCC was found to be relatively minor and mainly concentrated in the middle reaches of the basin. It resulted in a slight increase in temperature in both scenarios and an increase in precipitation in SSP245, but a decrease in precipitation in SSP585. Changes in farmland and urban area exhibited a certain warming effect in both scenarios, with urban areas having a greater influence, leading to a temperature increase by 0.25 degrees C and 0.28 degrees C, respectively. Forest, grassland, and bare areas had a lesser impact on temperature and showed different trends under two scenarios. Regarding precipitation, forests and urban areas had a greater influence in both SSP245 and SSP585 scenarios. This study identified the significant role of LUCC under different development scenarios in shaping future temperature and precipitation changes, providing valuable insights for effectively addressing climate issues in the Yellow River basin. It also highlights the need for clear policy recommendations and identifies institutions or agencies responsible for implementing such recommendations.
Keyword ：
Climate change Climate change Land use and land cover Land use and land cover SSP-RCPs SSP-RCPs WRF WRF Yellow River basin Yellow River basin
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| GB/T 7714 | Ru, Xutong , Qiao, Longxin , Zhang, Haopeng et al. Effects of land use and land cover change under shared socioeconomic pathways on future climate in the Yellow River basin, China [J]. | URBAN CLIMATE , 2024 , 55 . |
| MLA | Ru, Xutong et al. "Effects of land use and land cover change under shared socioeconomic pathways on future climate in the Yellow River basin, China" . | URBAN CLIMATE 55 (2024) . |
| APA | Ru, Xutong , Qiao, Longxin , Zhang, Haopeng , Bai, Tianqi , Min, Ruiqi , Wang, Yaobin et al. Effects of land use and land cover change under shared socioeconomic pathways on future climate in the Yellow River basin, China . | URBAN CLIMATE , 2024 , 55 . |
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This study investigates the relationship between the spatial distribution patterns of heavy metals (HMs) in atmospheric fine particulate matter (PM2.5) and their influencing factors in China, in order to address air pollution problems. Using HM data from PM2.5 collected from 88 Chinese cities between 2012 and 2020, the study employed a combination of enrichment factor (EF) analysis, standard deviation ellipses and hot spot analysis to assess spatial distribution patterns; geographical detectors to identify influencing factors; and hybrid singleparticle Lagrangian integrated trajectory models (HYSPLIT) to determine air mass movement. The results reveal that the spatial distribution of PM2.5-bound HMs in China is characterized by high levels in the north and interior and low levels in the south and along the coast. Anthropogenic activities affect HM levels in China's interior more strongly than on the coast. Moreover, the distribution of PM2.5-bound HMs in China exhibits a northeast-southwest spatial pattern, with significantly higher levels observed in central and northern regions than in eastern regions, particularly along the coast. Industrial waste emissions and energy consumption are key factors contributing to high PM2.5-bound HMs. In central China, the summer air mass movement predominantly follows a southeast direction, while in winter, it follows a northwest direction, originating from inland. In contrast, in eastern China, summer air mass movement predominantly follows a southeast direction, while in winter, it follows a northeast direction, originating from the ocean. Overall, our findings suggest that HMs in PM2.5 display high clustering values in central China, due primarily to industrial waste emissions, energy consumption, and air mass movement.
Keyword ：
Geographical detector Geographical detector Heavy metal Heavy metal HYSPLIT Model HYSPLIT Model Influencing factors Influencing factors PM2.5 PM2.5 Spatial patterns Spatial patterns
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| GB/T 7714 | Zeng, Yue , Ning, Xiannan , Li, Yunqin et al. Spatial patterns of PM2.5-bound heavy metals and analysis of their influencing factors in China [J]. | ANTHROPOCENE , 2023 , 44 . |
| MLA | Zeng, Yue et al. "Spatial patterns of PM2.5-bound heavy metals and analysis of their influencing factors in China" . | ANTHROPOCENE 44 (2023) . |
| APA | Zeng, Yue , Ning, Xiannan , Li, Yunqin , Wang, Qianfeng , Zhang, Xinying . Spatial patterns of PM2.5-bound heavy metals and analysis of their influencing factors in China . | ANTHROPOCENE , 2023 , 44 . |
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Due to global warming, drought events have become more frequent, which resulted in aggravated crop failures, food shortage, larger and more energetic wildfires, and have seriously affected socio-economic development and agricultural production. In this study, a global long-term (1981-2021), high-resolution (4 km) improved vegetation health index (VHI) dataset integrating climate, vegetation and soil moisture was developed. Based on drought records from the Emergency Event Database, we compared the detection efficiency of the VHI before and after its improvement in the occurrence and scope of observed drought events. The global drought detection efficiency of the improved high-resolution VHI dataset reached values as high as 85%, which is 14% higher than the original VHI dataset. The improved VHI dataset was also more sensitive to mild droughts and more accurate regarding the extent of droughts. This improved dataset can play an important role in long-term drought monitoring but also has the potential to assess the impact of drought on the agricultural, forestry, ecological and environmental sectors.
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| GB/T 7714 | Zeng, Jingyu , Zhou, Tao , Qu, Yanping et al. An improved global vegetation health index dataset in detecting vegetation drought [J]. | SCIENTIFIC DATA , 2023 , 10 (1) . |
| MLA | Zeng, Jingyu et al. "An improved global vegetation health index dataset in detecting vegetation drought" . | SCIENTIFIC DATA 10 . 1 (2023) . |
| APA | Zeng, Jingyu , Zhou, Tao , Qu, Yanping , Bento, Virgilio A. , Qi, Junyu , Xu, Yixin et al. An improved global vegetation health index dataset in detecting vegetation drought . | SCIENTIFIC DATA , 2023 , 10 (1) . |
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Accurately assessing the carbon sink and spatial distribution pattern of China's terrestrial ecosystems is of great significance to the implementation of climate change and carbon neutrality strategy. However, the views of various studies are still very controversial due to the differences in carbon sink estimation methods and data sources. In this study, vegetation net primary productivity (NPP) and ecosystem heterotrophic respiration (Rh) estimation models were constructed based on machine learning methods by fusing multisource data, such as remote sensing and ground observation data. The magnitude and spatial pattern of carbon sink in China from 2000 to 2018 were then revealed, and the carbon sink capacity of various ecosystems was quantitatively assessed. The main conclusions include the following: (1) The use of scale-matched carbon input and output data can help reduce the system error in carbon sink estimation. (2) China's terrestrial ecosystem carbon sink since the twenty-first century is approximately 0.458 Pg C/yr, which is equivalent to 22.72% of China's anthropogenic carbon emissions. (3) Deciduous forest has a higher carbon sink capacity than evergreen forest, while coniferous forest has a more stable carbon sink capacity than broad-leaved forest. The magnitude and spatial distribution of carbon sink in China reported in this study provides a scientific reference for achieving carbon neutrality and sustainable development.
Keyword ：
Carbon sink Carbon sink China China Ecosystem type Ecosystem type Machine learning Machine learning Scale matching Scale matching Spatial pattern Spatial pattern
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| GB/T 7714 | Zeng, Jingyu , Zhou, Tao , Wang, Qianfeng et al. Spatial patterns of China's carbon sinks estimated from the fusion of remote sensing and field-observed net primary productivity and heterotrophic respiration [J]. | ECOLOGICAL INFORMATICS , 2023 , 76 . |
| MLA | Zeng, Jingyu et al. "Spatial patterns of China's carbon sinks estimated from the fusion of remote sensing and field-observed net primary productivity and heterotrophic respiration" . | ECOLOGICAL INFORMATICS 76 (2023) . |
| APA | Zeng, Jingyu , Zhou, Tao , Wang, Qianfeng , Xu, Yixin , Lin, Qiaoyu , Zhang, Yajie et al. Spatial patterns of China's carbon sinks estimated from the fusion of remote sensing and field-observed net primary productivity and heterotrophic respiration . | ECOLOGICAL INFORMATICS , 2023 , 76 . |
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Given the unprecedented rates of climate change, population growth, and natural resources consumption, global food security has emerged as a critical issue in the twenty-first century. Over the past few decades, the African continent has been plagued by serious food insecurity issues, resulting from poverty and mismanagement of resources. Recent studies have suggested that a comprehensive assessment of food security in Africa and an investigation into the factors that affect the food self-sufficiency ratio (SSR) are increasingly essential. Estimating variations of SSR throughout Africa together with examining its affecting mechanisms is thought to be resolving ongoing food crisis and achieving sustainable food security in Africa. Here, we have assessed spatio-temporal evolutions of SSR in Africa and its associated drivers based on the Granger causality method. SSR in Africa showed an overall downward trend from 1961 to 2018, mainly aggregating in Northern and Southern regions. Among 44 African countries studied, Eastern African countries had relatively higher SSRs, while Northern and Southern regions had lower SSRs. Between 1970 and 2018, Granger causality analysis revealed that about 52%, 34%, and 34% of African countries were affected by GDP, food production, and import quantity, respectively. Additionally, the influence of climatic factors (temperature and precipitation) on SSR was detected in about 27% of countries, while their direct impact on food production was found in around 45% of the regions. Implementing viable solutions such as improving food production, facilitating international trades and cooperation, and promoting sustainable economic development can largely contribute to safeguarding food security in Africa and elsewhere facing similar challenges.
Keyword ：
Africa Africa Agricultural production Agricultural production Food security Food security Food self-sufficiency ratio Food self-sufficiency ratio Granger causality Granger causality Spatio-temporal variations Spatio-temporal variations
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| GB/T 7714 | Zhang, Zhiying , Kattel, Giri Raj , Shang, Yi et al. Steady decline in food self-sufficiency in Africa from 1961 to 2018 [J]. | REGIONAL ENVIRONMENTAL CHANGE , 2023 , 23 (2) . |
| MLA | Zhang, Zhiying et al. "Steady decline in food self-sufficiency in Africa from 1961 to 2018" . | REGIONAL ENVIRONMENTAL CHANGE 23 . 2 (2023) . |
| APA | Zhang, Zhiying , Kattel, Giri Raj , Shang, Yi , Wang, Guojie , Chuai, Xiaowei , Wang, Qianfeng et al. Steady decline in food self-sufficiency in Africa from 1961 to 2018 . | REGIONAL ENVIRONMENTAL CHANGE , 2023 , 23 (2) . |
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