Article
Environmental Sciences
Xia Xu, Shirong Qiao, Honglei Jiang, Tong Zhang
Summary: This article investigates the vulnerability of ecosystems in coastal China to extreme climate change and finds that rising temperatures in the region may significantly increase ecosystem vulnerability. Paddy field ecosystems are particularly influenced by extreme temperatures, while dry land and shrub ecosystems have the highest vulnerability.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Jinxia Cui, Yanding Wang, Tiancai Zhou, Lili Jiang, Qingwen Qi
Summary: This study investigated the effects of precipitation and temperature on NPP in alpine grassland areas on the Tibetan Plateau from 2001 to 2019. The results revealed that temperature had a greater impact on NPP in humid regions, while precipitation played a primary role in arid regions. The effects of climate on NPP fluctuated in arid regions but remained stable in humid regions over the study period. Temperature was found to be the main limiting factor for NPP, with a higher impact in humid regions. These findings improve our understanding of climate and ecological responses and can inform management practices.
Article
Environmental Sciences
Guoqiang Tang, Martyn P. Clark, Wouter J. M. Knoben, Hongli Liu, Shervan Gharari, Louise Arnal, Hylke E. Beck, Andrew W. Wood, Andrew J. Newman, Simon Michael Papalexiou
Summary: This study analyzes the impact of uncertainties in meteorological forcing data on hydrological modeling, specifically in cryosphere basins. It quantifies the uncertainties in various variables and finds that precipitation uncertainties have the dominant impact.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Lulu Liu, Yuan Jiang, Jiangbo Gao, Aiqing Feng, Kewei Jiao, Shaohong Wu, Liyuan Zuo, Yuqing Li, Rui Yan
Summary: This study assessed the impacts of concurrent climate extremes characterized by precipitation deficit and extreme temperature on the ecosystem in Southwest China. The results showed significant reductions in vegetation greenness and productivity due to these concurrent events.
Article
Environmental Sciences
Beatriz Martinez, Sergio Sanchez-Ruiz, Manuel Campos-Taberner, F. Javier Garcia-Haro, M. Amparo Gilabert
Summary: The main objective of this study is to analyze the spatial and temporal variability of gross and net primary production (GPP and NPP) in Peninsular Spain across 15 years (2004-2018) and determine the relationship of those carbon fluxes with precipitation and air temperature. The results show significant negative changes in vegetation in southeastern Spain, the eastern Mediterranean coastland, and central Spain, while forests and irrigated crops have higher production than rainfed crops, shrublands, grasslands, and sparse vegetation.
Article
Environmental Sciences
Xinye Qiu, Yaguang Wei, Marc Weisskopf, Avron Spiro, Liuhua Shi, Edgar Castro, Brent Coull, Petros Koutrakis, Joel Schwartz
Summary: This study found that living in areas with higher levels of air pollutants and ambient temperature may increase the risk of inpatient care for individuals with psychotic disorders. Males are more affected by nitrogen dioxide, while older residents are more sensitive to fine particulate matter and temperature. The population living in economically disadvantaged areas is more affected by air pollution.
ENVIRONMENTAL RESEARCH
(2023)
Article
Meteorology & Atmospheric Sciences
Lian Liu, Xinzhong Zhang, Cunbo Han, Yaoming Ma
Summary: The WRF model is used to predict air temperature and precipitation over the Tibet Autonomous Region of China. Different physics schemes in the WRF model are tested and compared to observational data and ECMWF forecasts. The RRTMG scheme shows the highest accuracy in predicting rainfall intensity, while the other schemes have varying performance.
ATMOSPHERIC RESEARCH
(2023)
Article
Environmental Sciences
Chen Limei, Abudureheman Halike, Yao Kaixuan, Wei Qianqian
Summary: This study investigates the spatiotemporal variation of vegetation net primary productivity (NPP) in the Tarim River Basin and the impact of meteorological factors on vegetation NPP. The results show an upward trend in vegetation NPP in the basin, with precipitation having a greater influence than air temperature.
JOURNAL OF ARID LAND
(2022)
Article
Environmental Sciences
Yanjun Zhao, Jun Xia, Zongxue Xu, Lei Zou, Yunfeng Qiao, Peng Li
Summary: Rapid urbanization leads to changes in urban micro meteorology, impacting temperature and precipitation significantly. The study in Jinan City reveals that extreme climate indices vary greatly with urban expansion, showing a correlation with impervious surfaces. A rain island effect is observed in the city center, with increased frequency and intensity of precipitation events.
Article
Meteorology & Atmospheric Sciences
Shanshan Wang, Jianping Huang, Xing Yuan
Summary: Anthropogenic influence has increased the risk of hot and dry extremes in Yunnan province in southwestern China in March to June 2019 by 123%-157% and 13%-23%, respectively.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2021)
Article
Geosciences, Multidisciplinary
Ziming Chen, Tianjun Zhou, Xiaolong Chen, Wenxia Zhang, Meng Zuo, Wenmin Man, Yun Qian
Summary: Reliable regional temperature projections, including heat extremes, are essential for climate change adaptation and mitigation. Researchers have developed an emergent constraint framework to obtain constrained temperature warming over China. The results show that the constrained model is more reliable and reduces about half of the uncertainty compared to raw projections. The impact of extreme heat on China is lower than previously predicted.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Yang Chen, Long Ma, Tingxi Liu, Xing Huang, Guohua Sun
Summary: This study analyzed the spatial and temporal distribution of net primary productivity (NPP), precipitation, and temperature from 1985 to 2015. The rain use efficiency (RUE) of vegetation was selected as an indicator, and desertification vulnerability and contributors were evaluated using statistical tests and models. The results showed that NPP was influenced by precipitation and temperature, with lower NPP in years with lower precipitation and higher temperatures. The vulnerability to desertification decreased from west to east, with the western and central sub-regions having the highest vulnerability. The factors contributing to desertification varied among different sub-regions.
Article
Environmental Sciences
Shixiong Li, Jiyuan Dong
Summary: This study evaluated the effects of extreme temperatures on respiratory disease (RD) hospitalizations in rural villages in Jiuquan, China. The results showed that both low and high temperatures increased the risk of hospitalization, with low temperatures having a greater impact and longer duration. The effects of temperature varied with gender and age, with males being more sensitive and individuals aged 65 and above being more sensitive to low temperatures.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Biodiversity Conservation
Xiaoning Zhang, Lili Nian, Xingyu Liu, Adingo Samuel, Yingbo Yang, Xiaodan Li, Xuelu Liu, Miaomiao Zhang, Caihong Hui, Quanxi Wang
Summary: This study analyzed the spatiotemporal patterns of NPP/LAI in alpine grassland ecosystems and their correlation with climate factors. Results showed that NPP and LAI of the growing season increased over time, while annual NPP/LAI decreased. The effects of temperature and precipitation on NPP/LAI varied among grassland types, and temperature had a longer-lasting influence compared to precipitation.
GLOBAL ECOLOGY AND CONSERVATION
(2023)
Article
Environmental Sciences
Xuping Song, Liangzhen Jiang, Shigong Wang, Jinhui Tian, Kehu Yang, Xinyi Wang, Hongdan Guan, Nan Zhang
Summary: The study investigated the association between air pollution index and respiratory diseases in Beijing, finding that temperature may modify the effects of API on respiratory morbidity. PM10 had a stronger correlation with respiratory diseases on moderately cold days compared to cold days.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Yanping Qu, Qianfeng Wang, Zhe Li, Rongrong Zhang, Jingyu Zeng, Yanling Song, Xiaojing Yang, Juan Lv
Summary: This study utilized historical and modern meteorological data to investigate extreme historical drought events in Shanxi Province during the Qing Dynasty, revealing severe rainfall shortages and drought events occurring between 1875 and 1879.
Article
Meteorology & Atmospheric Sciences
Rongrong Zhang, Xiaoping Wu, Xiaozhen Zhou, Binyu Ren, Jingyu Zeng, Qianfeng Wang
Summary: Through comparing drought event characteristics extracted at different time intervals, it was found that shorter time intervals result in more significant changes in drought severity but also increase the likelihood of accuracy errors, underestimate the time changes of extreme drought, and overestimate the time changes of mild drought. The non-divided method can accurately extract the features of drought events, and the global drought event percentage index slightly increased from 1960 to 2018, with a slope of 0.026% per year.
THEORETICAL AND APPLIED CLIMATOLOGY
(2022)
Article
Geography, Physical
Jianwei Li, Jiawang Zhan, Ting Zhou, Virgilio A. Bento, Qianfeng Wang
Summary: This paper proposes a method for coarse registration and localization based on extracting plane features using voxels, achieving more efficient global localization and pose localization. Experimental results show that the method has high successful registration and localization rates.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Rongrong Zhang, Junyu Qi, Song Leng, Qianfeng Wang
Summary: This study investigates the long-term trends of phenological parameters of different vegetation types in China north of 30 degrees N and their responses to preseason temperature and precipitation. The results indicate that preseason temperature has a strong controlling effect on vegetation phenology. Crop phenology is greatly influenced by human activities, while preseason precipitation has a stronger impact on the end date of the growing season.
Article
Computer Science, Information Systems
Rongrong Zhang, Virgilio A. Bento, Junyu Qi, Feng Xu, Jianjun Wu, Jianxiu Qiu, Jianwei Li, Wei Shui, Qianfeng Wang
Summary: In this study, a high spatiotemporally-resolved daily SPI/SPEI raster dataset for China was developed using the China Meteorological Forcing Dataset, which combines ground-based observation data and remote sensing grid meteorological data. The dataset shows high accuracy and credibility, outperforming the traditional monthly SPI/SPEI indices.
Article
Environmental Sciences
Yanping Qu, Xuejun Zhang, Jingyu Zeng, Zhe Li, Juan Lv
Summary: In this study, historical meteorological data from the Qing Dynasty were reconstructed to simulate monthly runoff and soil water sequence in Shanxi Province from 1875 to 1879. The study shows that reconstructing hydrological parameters using historical data is feasible, and the VIC model can be used to study drought characteristics under specific scenarios. The results reveal that the hydrological drought from 1875 to 1877 in Shanxi Province was severe and affected a relatively large area. The research provides new insights for ancient drought research and a scientific basis for regional drought prevention and water resources management.
Article
Environmental Sciences
Feng Xu, Virgilio A. Bento, Yanping Qu, Qianfeng Wang
Summary: In this study, the daily SPEI algorithm was used to project global drought conditions during 2016-2100 based on the CMIP6 data. The influence of climate factors on drought was explored through partial correlation analysis. The results show that drought conditions projected by CMIP6 are similar under different models, but vary widely across regions. Most regions around the world are expected to experience increasingly severe drought conditions in the future.
Article
Multidisciplinary Sciences
Jingyu Zeng, Tao Zhou, Yanping Qu, Virgilio A. Bento, Junyu Qi, Yixin Xu, Ying Li, Qianfeng Wang
Summary: Due to global warming, drought events have become more frequent, leading to aggravated crop failures, food shortage, larger and more energetic wildfires, and significant impacts on 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. The detection efficiency of the improved VHI dataset in detecting drought events was compared before and after its improvement, based on drought records from the Emergency Event Database. The improved VHI dataset showed a global drought detection efficiency as high as 85%, which is 14% higher than the original VHI dataset. It was also more sensitive to mild droughts and more accurate in assessing the extent of droughts. This improved dataset can play a crucial role in long-term drought monitoring and assessing the impact of drought on various sectors.
Article
Biodiversity Conservation
Yajie Zhang, Tao Zhou, Xia Liu, Yixin Xu, Jingyu Zeng, Jingzhou Zhang
Summary: The accumulation, transport and distribution of photosynthates within plants have significant impacts on both shoot-to-root biomass ratio and nutrient element distribution pattern. Understanding the allocation patterns of biomass and nutrient elements within plants is crucial to enhance our understanding of above- and belowground ecosystem functions. However, the aboveground-belowground allocation of biomass, carbon (C) and nitrogen (N) contents, especially the vertical distribution pattern belowground and its environmental impact, remains insufficiently understood.
ECOLOGICAL INDICATORS
(2023)
Article
Ecology
Jingyu Zeng, Tao Zhou, Qianfeng Wang, Yixin Xu, Qiaoyu Lin, Yajie Zhang, Xuemei Wu, Jingzhou Zhang, Xia Liu
Summary: Accurately assessing the carbon sink and spatial distribution pattern of China's terrestrial ecosystems is crucial for implementing climate change and carbon neutrality strategies. This study used machine learning methods to construct estimation models for vegetation net primary productivity (NPP) and ecosystem heterotrophic respiration (Rh) based on multisource data. The results revealed the magnitude and spatial pattern of carbon sink in China from 2000 to 2018 and quantitatively assessed the carbon sink capacity of various ecosystems.
ECOLOGICAL INFORMATICS
(2023)
Article
Environmental Sciences
Huixia Chen, Qianfeng Wang, Virgilio A. Bento, Xianyong Meng, Xiaohan Li
Summary: Vegetation plays a significant role in ecosystem stability and reflects the state of terrestrial ecosystems to some extent. However, research on vegetation drought risk is limited due to the complex coupling mechanism between vegetation and drought. In this study, an improved vegetation health index and other data sources were used to assess the drought risk of vegetation in Northwest China. The results showed changes in the percentage of different drought categories and an overall deterioration of vegetation drought in the region. The study provides a quantitative basis for vegetation protection and drought management.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2023)
Article
Environmental Sciences
Lingling Wan, Virgilio A. Bento, Yanping Qu, Jianxiu Qiu, Hongquan Song, RongRong Zhang, Xiaoping Wu, Feng Xu, Jinkuo Lu, Qianfeng Wang
Summary: This study utilized Chinese meteorological data from 1979 to 2018 and analyzed the relationship between drought severity and duration, and precipitation and potential evapotranspiration. The findings revealed that rising global temperatures associated with climate change have intensified drought occurrence and severity. The study provides valuable insights for policymakers in developing climate change adaptation and mitigation strategies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Feng Wang, Minghui Qi, Shuxin Ren, Mengjie Zhu, Qianlong Xing, Mengqiang Wang, Hongquan Song, Qianfeng Wang, Pengfei Liu
Summary: This study evaluated the direct radiative forcing effect of dust aerosols in China over the past 20 years using a model and observational data. The study found that dust aerosols have different radiative forcing effects in the atmosphere and at the surface, and these effects show a certain trend over time.
Article
Environmental Sciences
Jingyu Zeng, Tao Zhou, Yixin Xu, Qiaoyu Lin, E. Tan, Yajie Zhang, Xuemei Wu, Jingzhou Zhang, Xia Liu
Summary: This study developed a machine learning-based algorithm to improve the accuracy of carbon source and sink estimation in the Qinghai-Tibet Plateau. The results showed that the Qinghai-Tibet Plateau is a net carbon sink area, with a carbon sink amount of 22.3 Tg C/year, accounting for about 10% of China's total carbon sink. This study is of great significance for ensuring the ecological barrier function of the Qinghai-Tibet Plateau and providing a scientific reference for China's carbon neutrality goals.
CARBON BALANCE AND MANAGEMENT
(2023)