Article
Plant Sciences
Hu Yao, Haijun Peng, Bing Hong, Qian Guo, Hanwei Ding, Yetang Hong, Yongxuan Zhu, Cheng Cai, Jinshu Chi
Summary: The study found that the Hongyuan alpine peatland acted as a CO2 sink in 2014 and 2015, with significant carbon uptake during both growing and non-growing seasons. The research also showed that non-growing season carbon emissions should not be overlooked, and that the CO2 flux in the non-growing season was more sensitive to warming than in the growing season. The importance of continuous eddy covariance measurements and time series analysis approaches for understanding the temporal variability in NEE and its correlation with environmental factors was emphasized.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Meteorology & Atmospheric Sciences
Haijun Peng, Jinshu Chi, Hu Yao, Qian Guo, Bing Hong, Hanwei Ding, Yongxuan Zhu, Jie Wang, Yetang Hong
Summary: This study measured CO2 and CH4 fluxes in a typical alpine peatland on the Qinghai-Tibetan Plateau using the eddy covariance technique and found that the net CO2-eq flux was primarily influenced by global radiation and soil temperature variations. The results highlight the significant impact of CH4 emissions on the warming effect of the peatlands and the potential implications for future climate change.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Environmental Sciences
Lifeng Zhang, Zhiguang Chen, Xiang Zhang, Liang Zhao, Qi Li, Dongdong Chen, Yanhong Tang, Song Gu
Summary: The study used the S-W model to quantify ET partitioning in a degraded alpine meadow on the QTP, showing that soil evaporation was higher than plant transpiration, with Rn, LAI, and SWC5cm being important factors influencing ET partitioning.
Article
Ecology
Hongqin Li, Jingbin Zhu, Fawei Zhang, Gang Qin, Yongsheng Yang, Yikang Li, Junbang Wang, Guangmin Cao, Yingnian Li, Huakun Zhou, Mingyuan Du
Summary: This study investigated methane flux in a semi-arid alpine meadow on the northeastern Qinghai-Tibetan Plateau, finding diurnal variations in methane release and uptake. The meadow acted as a weak net CH4 source, releasing about 0.6 g CH4 m(-2) annually. Soil temperature and vapor pressure deficit were important factors influencing methane flux. Future climate change scenarios may lead to increased methane consumption during the growing season in semi-arid alpine meadows.
Article
Agronomy
Shaoying Wang, Yu Zhang, Xianhong Meng, Lunyu Shang, Suosuo Li, Zhaoguo Li, Youqi Su
Summary: This study reports the seasonal and interannual variability of evapotranspiration (ET) and its environmental controls over an alpine meadow in the subfrigid humid zone of the Tibetan Plateau. The results show that biophysical factors, rather than precipitation and growing season length, mainly control the interannual variability in annual ET. The findings are critical for understanding the response mechanism of ET to the changing biotic and abiotic conditions in the Tibetan Plateau.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Ecology
Junqi Wei, Xiaoyan Li, Lei Liu, Torben Rojle Christensen, Zhiyun Jiang, Yujun Ma, Xiuchen Wu, Hongyun Yao, Efren Lopez-Blanco
Summary: Predicted intensified climate warming may alter net carbon uptake in the Qinghai-Tibetan Plateau. Soil moisture and other environmental factors can regulate net carbon uptake. Alpine swamp meadows were found to be a persistent and strong carbon sink, with ecosystem respiration mainly regulated by soil water content. Future changes in soil hydrological conditions may affect soil respiration and ecosystem carbon sink magnitude.
Article
Agronomy
Yuyang Wang, Jingfeng Xiao, Yaoming Ma, Yiqi Luo, Zeyong Hu, Fu Li, Yingnian Li, Lianglei Gu, Zhaoguo Li, Ling Yuan
Summary: This study examines the spatial variations and environmental controls of carbon fluxes in diverse alpine ecosystems on the Tibetan Plateau. The results indicate significant differences in carbon flux among different grassland types, with soil temperature and moisture playing important roles in regulating the fluxes.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Environmental Studies
Qian Qian, Junbang Wang, Xiujuan Zhang, Shaoqiang Wang, Yingnian Li, Qinxue Wang, Alan E. Watson, Xinquan Zhao
Summary: This paper assesses the possibility of achieving established targets for the proportion of cultivated to available grassland in the Three-River Headwaters Region in China. It finds that in order to reach income targets in 2025, 5% of grasslands need to be cultivated, but achieving income targets in 2035 will become very difficult.
Article
Environmental Sciences
Qiwen Liao, Xiaoyan Li, Fangzhong Shi, Yuanhong Deng, Pei Wang, Tingyun Wu, Junqi Wei, Fenglin Zuo
Summary: This study quantified the nocturnal evapotranspiration in alpine regions and clarified the different response of evapotranspiration to climate variables during daytime and nighttime. The results showed that nocturnal evapotranspiration accounts for a relatively high proportion of total evapotranspiration and there are differences in the response to climate variables at different elevations.
Correction
Agronomy
Yuyang Wang, Jingfeng Xiao, Yaoming Ma, Yiqi Luo, Zeyong Hu, Fu Li, Yingnian Li, Lianglei Gu, Zhaoguo Li, Ling Yuan
Summary: The study compared spatial variations of carbon fluxes in different types of alpine ecosystems, finding that alpine meadow ecosystems are controlled by soil temperature, while alpine grasslands are controlled by soil moisture.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Green & Sustainable Science & Technology
Xiuying Wang, Yuancang Ma, Fu Li, Qi Chen, Shujiao Sun, Honglu Ma, Rui Zhang
Summary: Through infrared wetland research and machine learning, we constructed a predictive model for net ecosystem CO2 exchange (NEE) and studied the effect of outlier treatments in different seasons on the model. The results showed that outlier treatments improved the interpolation accuracy and data quality of NEE, and the multilayer perceptron (MLP) model was the most stable with the best interpolation effect. Additionally, there were seasonal differences in the prediction of NEE.
Article
Biodiversity Conservation
Mu Xia, Kun Jia, Wenwu Zhao, Shiliang Liu, Xiangqin Wei, Bing Wang
Summary: This study utilizes an Ecological Vulnerability Index (EVI) and 17 indicators to analyze the ecological vulnerability threats faced by the Qinghai-Tibetan Plateau over the past 15 years, with results indicating vegetation as the primary driver of ecological vulnerability. Significant variations in ecological vulnerability trends were observed between Tibet Autonomous Region and Qinghai Province.
ECOLOGICAL INDICATORS
(2021)
Article
Environmental Sciences
Hanchen Duan, Xia Xue, Tao Wang, Wenping Kang, Jie Liao, Shulin Liu
Summary: The study reveals significant differences in alpine meadow, alpine steppe, and overall vegetation of the Qinghai-Tibet Plateau in terms of growing season length, NDVI growth trends, vegetation improvement, and degradation. The responses to climatic factors exhibit significant spatial heterogeneity across the plateau.
Article
Engineering, Civil
Xinwei Liu, Wei Zhan, Dan Zhu, Ning Wu, Yixin He, Huai Chen
Summary: This study used an eddy covariance tower to measure water vapor flux in wetland area of the Qinghai-Tibetan Plateau in China. The results showed that water vapor flux in wetlands has a long-term impact on both micro-meteorological environment and net CO2 ecosystem exchange (NEE).
JOURNAL OF HYDROLOGY
(2022)
Article
Multidisciplinary Sciences
Da Wei, Yahui Qi, Yaoming Ma, Xufeng Wang, Weiqiang Ma, Tanguang Gao, Lin Huang, Hui Zhao, Jianxin Zhang, Xiaodan Wang
Summary: This study reveals that on the Tibetan Plateau, the fixation of CO2 by plants will outpace the loss of CO2 under a wetting-warming climate due to climate warming, leading to a plant-dominated negative feedback mechanism that mitigates the impact of climate warming on the region.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Environmental Sciences
Haijun Peng, Bing Hong, Yetang Hong, Yongxuan Zhu, Chen Cai, Lingui Yuan, Yu Wang
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2015)
Article
Geography, Physical
Bing Hong, Masao Uchida, Yetang Hong, Haijun Peng, Miyuki Kondo, Hanwei Ding
PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY
(2018)
Article
Geography, Physical
Yang Gao, Kangning Xiong, Mingying Quan, Bing Song, Haijun Peng, Huirong Peng, Weidan Shen, Kunshan Bao
QUATERNARY INTERNATIONAL
(2019)
Article
Geography, Physical
Qiangshan Gao, Shijie Wang, Tao Peng, Haijun Peng, David M. Oliver
Article
Agriculture, Multidisciplinary
Yanwei Wang, Weijun Luo, Guangneng Zeng, Haijun Peng, Anyun Cheng, Lin Zhang, Xianli Cai, Jia Chen, Yina Lyu, Hanling Yang, Shijie Wang
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2020)
Article
Geography, Physical
Haijun Peng, Kunshan Bao, Lingui Yuan, Masao Uchida, Cheng Cai, Yongxuan Zhu, Bing Hong, Qian Guo, Hanwei Ding, Hu Yao, Yetang Hong
Summary: Analysis of a peat archive from the Hengduan Mountains reveals the rapid changes in monsoonal climate in East Asia since the last deglaciation, with a close connection between dust fluxes in the Yuexi peatland and Asian monsoon variations. The study also demonstrates the significant contribution of human activities to dust fluxes during the late Holocene.
QUATERNARY SCIENCE REVIEWS
(2021)
Letter
Geosciences, Multidisciplinary
Joshua L. Ratcliffe, Haijun Peng, Jelmer J. Nijp, Mats B. Nilsson
Article
Meteorology & Atmospheric Sciences
Haijun Peng, Jinshu Chi, Hu Yao, Qian Guo, Bing Hong, Hanwei Ding, Yongxuan Zhu, Jie Wang, Yetang Hong
Summary: This study measured CO2 and CH4 fluxes in a typical alpine peatland on the Qinghai-Tibetan Plateau using the eddy covariance technique and found that the net CO2-eq flux was primarily influenced by global radiation and soil temperature variations. The results highlight the significant impact of CH4 emissions on the warming effect of the peatlands and the potential implications for future climate change.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Correction
Geochemistry & Geophysics
Qian Guo, Haijun Peng, Bing Hong, Hu Yao, Yongxuan Zhu, Hanwei Ding, Ning An, Yetang Hong
Article
Geochemistry & Geophysics
Qian Guo, Haijun Peng, Bing Hong, Hu Yao, Yongxuan Zhu, Hanwei Ding, Ning An, Yetang Hong
Summary: Isotopic signature is a powerful tool for differentiating methane sources and understanding CH4 budgets on regional and global scales. A study on an alpine peatland in the eastern Qinghai-Tibetan Plateau found diurnal variations in CH4 concentration and delta C-13-CH4 during the summer, with depleted delta C-13-CH4 signals and high CH4 concentration appearing at nighttime. The summer delta C-13-CH4 signature calculated during the study falls within the range of wetland studies and is close to high-latitude peatlands, suggesting the influence of boundary layer dynamics and CH4 sources on the measured concentrations.
Article
Environmental Sciences
Haijun Peng, Yimeng Rong, Di Chen, Ruiyang Sun, Jie Huang, Hanwei Ding, Carolina Olid, Haiyu Yan
Summary: Mercury mining in southwest China may have started before the establishment of the Qin dynasty, around 2500 years ago, potentially motivated by climate changes and human industrial activities. Two major peaks of mercury deposition were observed in the past 10,000 years, coinciding with critical climate changes. This study highlights the significance of climate variability and local mercury mining in controlling global atmospheric mercury deposition during the Holocene.
Article
Plant Sciences
Hu Yao, Haijun Peng, Bing Hong, Hanwei Ding, Yetang Hong, Yongxuan Zhu, Jie Wang, Cheng Cai
Summary: Wetlands are important carbon stocks, but little is known about carbon emissions from alpine wetlands in arid northwest China. This study measured ecosystem respiration in an alpine wetland and found significant seasonal and diurnal variations. Soil temperature and soil water content were the main factors influencing the variation.
JOURNAL OF PLANT ECOLOGY
(2022)
Article
Agronomy
Wenyi Xu, Bo Elberling, Per Lennart Ambus
Summary: The frequency and extent of wildfires in the Arctic have been increasing due to climate change. In this study, researchers conducted experiments in West Greenland to investigate the long-term impacts of climate warming on post-fire carbon dioxide exchange in arctic tundra ecosystems. They found that fire increased soil organic phosphorus concentrations and burned areas remained a net CO2 source five years after the fire. However, with four to five years of summer warming, the burned areas turned into a net CO2 sink.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Yuanhang Yang, Jiabo Yin, Shengyu Kang, Louise J. Slater, Xihui Gu, Aliaksandr Volchak
Summary: This study investigates the impacts of water and heat stress on carbon uptake in China and explores the driving mechanisms of droughts using a machine learning model. The results show that droughts are mostly driven by atmospheric dryness, with precipitation, relative humidity, and temperature playing dominant roles. Water and heat stress have negative impacts on carbon assimilation, and drought occurrence is projected to increase significantly in the future. Improving ecosystem resilience to climate warming is crucial in mitigating the negative effects of droughts on carbon uptake.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Ningbo Cui, Shunsheng Zheng, Shouzheng Jiang, Mingjun Wang, Lu Zhao, Ziling He, Yu Feng, Yaosheng Wang, Daozhi Gong, Chunwei Liu, Rangjian Qiu
Summary: This study proposes a method to partition evapotranspiration (ET) into its components in agroforestry systems. The method is based on water-carbon coupling theory and flux conservation hypothesis. The results show that the partitioned components agree well with measurements from other sensors. The study also finds that atmospheric evaporation demand and vegetation factors greatly influence the components of ET, and increased tree leaf area limits understory grass transpiration.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Xinhao Li, Tianshan Zha, Andrew Black, Xin Jia, Rachhpal S. Jassal, Peng Liu, Yun Tian, Chuan Jin, Ruizhi Yang, Feng Zhang, Haiqun Yu, Jing Xie
Summary: With the rapid increase of urbanization, evapotranspiration (ET) in urban forests has become increasingly important in urban hydrology and climate. However, there is still a large uncertainty regarding the factors that regulate ET in urban areas. This study investigates the temporal variations of ET in an urban forest park in Beijing using the eddy-covariance technique. The results show that daily ET is close to zero during winter but reaches 3-6 mm day-1 in summer. Daily ET increases with vapor pressure deficit (VPD) and soil water content (SWC). Monthly ET increases linearly with normalized difference vegetation index and shows a strong correlation with surface conductance (gs), while exhibiting saturated responses to increasing monthly precipitation (PPT). Annual ET ranges from 326 to 566 mm, and soil water replenishment through PPT from the previous year is responsible for the generally higher monthly ET in spring relative to PPT. Biotic factors and PPT seasonality play essential roles in regulating ET at different scales.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Zhaogang Liu, Zhi Chen, Meng Yang, Tianxiang Hao, Guirui Yu, Xianjin Zhu, Weikang Zhang, Lexin Ma, Xiaojun Dou, Yong Lin, Wenxing Luo, Lang Han, Mingyu Sun, Shiping Chen, Gang Dong, Yanhong Gao, Yanbin Hao, Shicheng Jiang, Yingnian Li, Yuzhe Li, Shaomin Liu, Peili Shi, Junlei Tan, Yakun Tang, Xiaoping Xin, Fawei Zhang, Yangjian Zhang, Liang Zhao, Li Zhou, Zhilin Zhu
Summary: This study investigates the responses of temperate grassland (TG) and alpine grassland (AG) to climate change by studying carbon (C) fluxes across different regions in China. The results reveal that water factors consistently increase C fluxes, while temperature factors have opposite effects on TG and AG. The study enhances our understanding of C sinks and grassland sensitivity to climate change.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Peng Li, Huijie Li, Bingcheng Si, Tao Zhou, Chunhua Zhang, Min Li
Summary: This study mapped the distribution of forest age on the Chinese Loess Plateau using the LandTrendr algorithm. The results show that the LT algorithm is a convenient, efficient, and reliable method for identifying forest age. The findings have important implications for assessing and quantifying biomass and carbon sequestration in afforestation efforts on the Chinese Loess Plateau.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Review
Agronomy
Yean-Uk Kim, Heidi Webber, Samuel G. K. Adiku, Rogerio de S. Noia Junior, Jean-Charles Deswarte, Senthold Asseng, Frank Ewert
Summary: As climate change is expected to increase the intensity and frequency of extreme weather events, it is crucial to assess their impact on cropping systems and explore adaptation options. Process-based crop models (PBCMs) have improved in simulating the impacts of major extreme weather events, but still struggle to reproduce low crop yields under wet conditions. This article provides an overview of the yield-loss mechanisms of excessive rainfall in cereals and the associated modelling approaches, aiming to guide improvements in PBCMs.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Xiaodong Liu, Yingjie Feng, Xinyu Zhao, Zijie Cui, Peiling Liu, Xiuzhi Chen, Qianmei Zhang, Juxiu Liu
Summary: Understanding the impact of climate on litterfall production is crucial for simulating nutrient cycling in forest ecosystems. This study analyzed a 14-year litterfall dataset from two subtropical forests in South China and found that litterfall was mainly influenced by wind speed during the wet season and by temperature during the dry season. These findings have potential significance in improving our understanding of carbon and nutrient cycling in subtropical forest ecosystems under climate change conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Ruonan Chen, Liangyun Liu, Zhunqiao Liu, Xinjie Liu, Jongmin Kim, Hyun Seok Kim, Hojin Lee, Genghong Wu, Chenhui Guo, Lianhong Gu
Summary: Solar-induced chlorophyll fluorescence (SIF) has the potential to estimate gross primary production (GPP), but the quantitative relationship between them is not constant. In this study, a mechanistic model for SIF-based GPP estimation in evergreen needle forests (ENF) was developed, considering the seasonal variation in a key parameter of the model. The GPP estimates from this model were more accurate compared to other benchmark models, especially in extreme conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Jingyi Zhu, Yanzheng Yang, Nan Meng, Ruonan Li, Jinfeng Ma, Hua Zheng
Summary: This study developed a random forest model using climate station and satellite data to generate high-precision precipitation datasets for the Qinghai-Tibet Plateau. By incorporating multisource satellite data, the model achieved a significant enhancement in precipitation accuracy and showed promising results in regions with limited meteorological stations and substantial spatial heterogeneity in precipitation patterns.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Yulin Yan, Youngryel Ryu, Bolun Li, Benjamin Dechant, Sheir Afgen Zaheer, Minseok Kang
Summary: Sustainable rice farming practices are urgently needed to meet increasing food demand, cope with water scarcity, and mitigate climate change. Traditional farming methods that prioritize a single objective have proven to be insufficient, while simultaneously optimizing multiple competing objectives remains less explored. This study optimized farm management to increase rice yield, reduce irrigation water consumption, and tackle the dilemma of reducing GHG emissions. The results suggest that the optimized management can maintain or even increase crop yield, while reducing water demand and GHG emissions by more than 50%.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Sasha D. Hafner, Jesper N. Kamp, Johanna Pedersen
Summary: This study compared micrometeorological and wind tunnel measurements using a semi-empirical model to understand wind tunnel measurement error. The results showed differences in emission estimates between the two methods, but the ALFAM2 model was able to reproduce emission dynamics for both methods when considering differences in mass transfer. The study provides a template for integrating and comparing measurements from different methods, suggesting the use of wind tunnel measurements for model evaluation and parameter estimation.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Wenfang Xu, Wenping Yuan, Donghai Wu, Yao Zhang, Ruoque Shen, Xiaosheng Xia, Philippe Ciais, Juxiu Liu
Summary: In the summer of 2022, China experienced record-breaking heatwaves and droughts, which had a significant impact on plant growth. The study also found that heatwaves were more critical than droughts in limiting vegetation growth.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Jiaqi Guo, Xiaohong Liu, Wensen Ge, Liangju Zhao, Wenjie Fan, Xinyu Zhang, Qiangqiang Lu, Xiaoyu Xing, Zihan Zhou
Summary: Vegetation photosynthetic phenology is an important indicator for understanding the impacts of climate change on terrestrial carbon cycle. This study evaluated and compared the abilities of different spectral indices to model photosynthetic phenology, and found that NIRv and PRI are effective proxies for monitoring photosynthetic phenology.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)
Article
Agronomy
Arango Ruda Elizabeth, M. Altaf Arain
Summary: Temperate deciduous forests have significant impacts on regional and global water cycles. This study examined the effects of climate change and extreme weather events on the water use and evapotranspiration of a temperate deciduous forest in eastern North America. The results showed that photosynthetically active radiation and air temperature were the primary drivers of evapotranspiration, while vapor pressure deficit regulated water use efficiency. The study also found a changing trend in water use efficiency over the years, influenced by extreme weather conditions.
AGRICULTURAL AND FOREST METEOROLOGY
(2024)