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学者姓名：王前锋
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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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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 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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Previous studies have primarily focused on the influence of temperature and precipitation on phenology. It is unclear if the easily ignored climate factors with drivers of vegetation growth can effect on vegetation phenology. In this research, we conducted an analysis of the start (SOS) and end (EOS) of the growing seasons in the northern region of China above 30 degrees N from 1982 to 2014, focusing on two-season vegetation phenology. We examined the response of vegetation phenology of different vegetation types to preseason climatic factors, including relative humidity (RH), shortwave radiation (SR), maximum temperature (Tmax), and minimum temperature (Tmin). Our findings reveal that the optimal preseason influencing vegetation phenology length fell within the range of 0-60 days in most areas. Specifically, SOS exhibited a significant negative correlation with Tmax and Tmin in 44.15% and 42.25% of the areas, respectively, while EOS displayed a significant negative correlation with SR in 49.03% of the areas. Additionally, we identified that RH emerged as the dominant climatic factor influencing the phenology of savanna (SA), whereas temperature strongly controlled the SOS of deciduous needleleaf forest (DNF) and deciduous broadleaf forest (DBF). Meanwhile, the EOS of DNF was primarily influenced by Tmax. In conclusion, this study provides valuable insights into how various vegetation types adapt to climate change, offering a scientific basis for implementing effective vegetation adaptation measures.
Keyword ：
Climate change Climate change Phenology Phenology Preseason Preseason Vegetation Vegetation
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| GB/T 7714 | Wang, Qianfeng , Chen, Huixia , Xu, Feng et al. Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes [J]. | SCIENTIFIC REPORTS , 2024 , 14 (1) . |
| MLA | Wang, Qianfeng et al. "Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes" . | SCIENTIFIC REPORTS 14 . 1 (2024) . |
| APA | Wang, Qianfeng , Chen, Huixia , Xu, Feng , Bento, Virgilio A. , Zhang, Rongrong , Wu, Xiaoping et al. Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes . | SCIENTIFIC REPORTS , 2024 , 14 (1) . |
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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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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.
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, Yue , Liu, Xinyu , Li, Yunqin 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, Yue 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, Yue , Liu, Xinyu , Li, Yunqin , Jin, Zhifan , Shui, Wei , Wang, Qianfeng . 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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When a firefighting incident occurs in a wild complex mountain with no obvious roads or sparse roads, it is crucial to plan a safe and fast route through the complex mountain environment. Aiming at the problem that Ant Colony Optimization (ACO) is easy to fall into local optimum and the search time is long for complex mountain path planning, our study proposes an ACO algorithm for hiking emergency rescue path planning, which is suitable for fine-grained wild mountain environments. Firstly, our study analyzed the relationship between surface information and human movement speed based on existing literature and designed the objective function and heuristic function of the optimization algorithm considering two factors: surface shrub cover and terrain slope. Then, we used a combination of plane and field of view ant search combined with heuristic function and pheromone concentration to determine the next grid to be selected in the optimization process of the improved algorithm. Finally, the improved algorithm used a Laplace distribution to adjust the initial pheromone to improve the quality of the algorithm's initial solution. For the deadlock problem, the improved algorithm added isolated pheromones to prevent the next ant from falling into a deadlock dilemma. The improved algorithm used a genetic operator with grouping to update the global regular pheromone to avoid the ant colony from falling into a local optimum dilemma. In our study, we applied four ACO to the wild mountain environment of 400×400 grids, 1000 grids×1000 grids, 5000 grids×5000 grids, and 10 000 grids×10 000 grids for comparison, and set different starting and ending points for each environment. The experimental results show that each ACO using a combined planar and visual field search approach can obtain feasible paths in all four experiments, which verified the feasibility of the method. The quality of the paths using the improved algorithms was better than the other three algorithms, with improvements of 0.52%~4.95%, 4.71%~5.39%, 2.26%~13.11%, and 3.84%~9.16% in the four experiments, respectively, and the improved algorithm had shorter search time and convergence time. In addition, the combined planar and visual field search approach reduced the search space and improved the computational efficiency of the algorithm in the field 3D mountain environment. This search method was faster than the 8-connected method and reduced the average time consumption by more than 90%. Our algorithm is suitable for hiking path planning research in large 3D mountain scenes, with reduced planning time and improved path quality, providing technical support for the work of finding the best 3D mountain hiking paths without road networks. © 2023 Journal of Geo-Information Science. All rights reserved.
Keyword ：
Ant colony optimization Ant colony optimization Computational efficiency Computational efficiency Genetic algorithms Genetic algorithms Heuristic algorithms Heuristic algorithms Landforms Landforms Motion planning Motion planning
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| GB/T 7714 | Wu, Yuefei , Li, Jianwei , Bi, Sheng et al. Research on Improved Ant Colony Algorithm for Mountain Hiking Emergency Rescue Path Planning [J]. | Journal of Geo-Information Science , 2023 , 25 (1) : 90-101 . |
| MLA | Wu, Yuefei et al. "Research on Improved Ant Colony Algorithm for Mountain Hiking Emergency Rescue Path Planning" . | Journal of Geo-Information Science 25 . 1 (2023) : 90-101 . |
| APA | Wu, Yuefei , Li, Jianwei , Bi, Sheng , Zhu, Xin , Wang, Qianfeng . Research on Improved Ant Colony Algorithm for Mountain Hiking Emergency Rescue Path Planning . | Journal of Geo-Information Science , 2023 , 25 (1) , 90-101 . |
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当消防事故发生在无明显道路或道路稀疏的野外复杂山区时，如何在复杂山地环境中规划安全、快速通过的路线至关重要。针对蚁群算法在复杂山地路径规划中容易陷入局部最优以及搜索时间较长的问题，本文提出一种适用于细粒度野外山地环境的徒步应急救援路径规划算法。本文首先根据已有文献分析地表信息与人类运动速度之间的关系，综合地表灌木盖度与地形坡度因素设计寻优算法的目标函数和启发函数；接着采用定向范围视野的蚂蚁搜索方式，决定蚁群算法寻优过程中每一步的网格选择；最后采用拉普拉斯分布调整初始信息素、添加隔离信息素、融合遗传算子与分组更新常规信息素的方法改进蚁群算法。将算法应用到400×400、1000×1000、5000×5000、10 000×10 000网格数的野外山地环境进行实验对比，实验结果表明，采用定向范围视野与优化启发函数的各蚁群算法在四组实验中均能得到可行路径，验证了方法的有效性；本文算法求解的路径质量优于另外三种算法，在四组实验中分别提高了0.52%～4.95%、4.71%～5.39%、2.26%～13.11%、3.84%～9.16%；此外，在野外三维山地环境中，定向范围视野的搜索方式缩减了搜索空间，有效提高算法的计算效率，搜索速度比八连通结合禁忌表的搜索方式更快，平均耗时降低了90%以上。该算法适用于大型三维山地场景的徒步路径规划研究，降低规划时间，提高路径质量，为无路网三维山地徒步路径寻优工作提供技术支撑。
Keyword ：
DEM DEM 三维山地环境 三维山地环境 山地徒步可通行性 山地徒步可通行性 徒步路径规划 徒步路径规划 栅格法 栅格法 蚁群算法 蚁群算法 遗传算法 遗传算法 野外应急救援 野外应急救援
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| GB/T 7714 | 伍跃飞 , 李建微 , 毕胜 et al. 面向山地徒步应急救援路径规划的改进蚁群算法研究 [J]. | 地球信息科学学报 , 2023 , 25 (01) : 90-101 . |
| MLA | 伍跃飞 et al. "面向山地徒步应急救援路径规划的改进蚁群算法研究" . | 地球信息科学学报 25 . 01 (2023) : 90-101 . |
| APA | 伍跃飞 , 李建微 , 毕胜 , 朱馨 , 王前锋 . 面向山地徒步应急救援路径规划的改进蚁群算法研究 . | 地球信息科学学报 , 2023 , 25 (01) , 90-101 . |
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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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