Article
Geography, Physical
Li Mei, Siqin Tong, Shan Yin, Yuhai Bao, Xiaojun Huang, Tuya Alateng, Yongfang Wang, Enliang Guo, Zhihui Yuan, Dalai Nashun, Suriguga Gao, Xinyi Liu, Zhigang Ye
Summary: Water use efficiency (WUE) is analyzed in relation to carbon and water cycles, with comparisons made on different GPP and ET products. The impact of climate change and soil water content on WUE is quantitatively evaluated. The results show that WUE decreases with increasing GPP and ET, and is mainly influenced by soil moisture, evapotranspiration, and precipitation.
JOURNAL OF GEOGRAPHICAL SCIENCES
(2023)
Article
Environmental Sciences
Xiaojie Gao, Ian R. R. McGregor, Josh M. M. Gray, Mark A. A. Friedl, Minkyu Moon
Summary: Vegetation green leaf phenology has a direct impact on the gross primary productivity (GPP) of terrestrial ecosystems. Satellite observations of land surface phenology (LSP) provide a valuable tool for monitoring the timing of vegetation green leaf development. However, discrepancies between satellite-derived LSP proxies and in situ measurements of GPP make it challenging to quantify the effects of climate-induced changes in green leaf phenology on annual GPP.
GLOBAL BIOGEOCHEMICAL CYCLES
(2023)
Article
Environmental Sciences
Linxin Liu, Ke Zhang, Lijun Chao, Gazi Tawfiq Ezaz, Xi Li, Giovanni Forzieri
Summary: This study investigates the dynamics of terrestrial ecosystem water use efficiency (WUE) in China's tropical to subtropical transitional zones. The results show that WUE exhibits large spatial and seasonal variability, and is primarily influenced by air temperature and vapor pressure deficit.
GLOBAL BIOGEOCHEMICAL CYCLES
(2022)
Article
Biodiversity Conservation
Guangchao Li, Wei Chen, Ruren Li, Xuepeng Zhang, Jialiang Liu
Summary: Over the past 17 years, China's vegetation WUE has shown an average value of 1.08g C m-2 mm-1, with an average annual growth rate of 0.003g C m-2 mm-1 a-1. Vegetation WUE is positively correlated with temperature and precipitation in approximately 50.21% and 66.16% of the total area, respectively. Human activities and climate change have contributed 66.75% and 33.25%, respectively, to the increase in vegetation WUE in China over the same period.
ECOLOGICAL INDICATORS
(2021)
Article
Engineering, Civil
Yayong Xue, Haibin Liang, Baoqing Zhang, Chansheng He
Summary: Over the past two decades, China's implementation of ecological restoration programs has significantly increased vegetation coverage. This study analyzed the response of the carbon and water cycles to large-scale vegetation restoration in China and identified human-driven vegetation greening as a major factor in improving water use efficiency.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Shanshan Yang, Jiahua Zhang, Jiaqi Han, Jingwen Wang, Sha Zhang, Yun Bai, Dan Cao, Lan Xun, Minxuan Zheng, Hao Chen, Chi Xu, Yuejing Rong
Summary: This study comprehensively investigated the response of WUE to drought using multiple WUE datasets and drought indices from 2001 to 2018, revealing discrepancies in WUE temporal trends among different remote sensing-driven models. Positive correlations between WUE and drought were found in over half of global vegetated lands, while negative relationships occurred mainly in high latitude regions. Different ecosystem processes played varying dominant roles in controlling WUE response to drought in different regions, highlighting the complexity of ecosystem responses to drought.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Forestry
Chong Nie, Xingan Chen, Rui Xu, Yanzhong Zhu, Chenning Deng, Queping Yang
Summary: This research used the Vegetation Photosynthesis Model to analyze the spatial and temporal variations of gross primary productivity (GPP) in the Yangtze River Basin from 2000 to 2018. The results showed an upward trend in GPP, with temperature being the main factor driving the changes.
Article
Environmental Sciences
Husheng Fang, Moquan Sha, Yichun Xie, Wenjuan Lin, Dai Qiu, Jiangguang Tu, Xicheng Tan, Xiaolei Li, Zongyao Sha
Summary: Green vegetation in terrestrial ecosystems plays a crucial role in energy flows and matter cycles. Vegetation phenology, influenced by climate changes and also affecting climate through active feedback, has important implications for gross primary productivity (GPP). Using satellite remote sensing imagery and FLUXNET observations, we mapped the shift of vegetation phenological events globally and investigated their response to climate fluctuations and feedback on GPP. The results showed significant advances in the start of season (SOS) in 11.5% of the global vegetated area, while only 5.2% exhibited significantly delayed end of season (EOS), resulting in a lengthening of the season (LOS) in 12.6% of the vegetated area. Climate factors, such as temperature and precipitation, contributed to the shifts in vegetation phenology with high spatial and temporal variability. LOS was positively correlated with GPP in 20.2% of the total area, indicating that a longer LOS promotes vegetation productivity. This feedback mechanism of shifted vegetation phenology on GPP may serve as an adaptation strategy for terrestrial ecosystems to mitigate global warming.
Article
Environmental Sciences
Dujuan Ma, Xiaodan Wu, Xuanlong Ma, Jingping Wang, Xingwen Lin, Cuicui Mu
Summary: The study demonstrated that the MOD17A2H product accurately captured the variations of GPP in the Arctic, showing consistency with in situ measurements and functional phenology. Spatial patterns and interannual trends of GPP were found to be partly related to land cover types, latitude, and elevation, peaking in forests and lowest in grasslands.
Article
Environmental Sciences
Moshe Dubinin, Yagil Osem, Dan Yakir, Tarin Paz-Kagan
Summary: Dryland forests are facing increasing threats from drought due to climate change. Understanding the relationship between forest structure and function is crucial for managing these forests to adapt to the changing conditions. This study investigated the structure-function relationships in dryland conifer forests and found that as dryness increased, gross primary productivity and evapotranspiration decreased while water use efficiency and leaf area efficiency increased. The findings highlight the importance of remote sensing data and flux tower data in monitoring and understanding the response of dryland forests to drying conditions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Engineering, Civil
Xingyan Tan, Yangwen Jia, Dawen Yang, Cunwen Niu, Chunfeng Hao
Summary: The shifts in vegetation phenology caused by global warming have significant impacts on ecosystem functions and the hydrological cycle. However, research in this field has mainly focused on temperate and tropical forests, while the effects on carbon assimilation and hydrological processes in temperate semi-arid grasslands are poorly understood. This study examined the trends in vegetation phenology, gross primary productivity (GPP) and evapotranspiration (ET) in a region of the Loess Plateau, China, and found that they have been changing significantly over the past two decades. The study also suggests the need to improve dynamic phenologic models for better predicting the impacts of climate change on ecosystem carbon gain and water loss.
JOURNAL OF HYDROLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Binghao Jia, Xin Luo, Longhuan Wang, Xin Lai
Summary: This study used satellite remote sensing data and models to evaluate the spatiotemporal variations of WUE on the Tibetan Plateau. The results showed that temperature was the most important factor affecting WUE, and land use change had a negative impact while CO2 fertilization had a positive effect on WUE. The effects of both land use change and CO2 fertilization on WUE were more pronounced during the driest years.
ADVANCES IN ATMOSPHERIC SCIENCES
(2023)
Article
Biodiversity Conservation
Ying Deng, Donghai Wu, Xuhui Wang, Zongqiang Xie
Summary: Extreme drought events in China have had extensive and severe impacts on terrestrial ecosystems in recent decades. This study proposes a new method, called the extreme-based method, to determine the dominant time scale at which gross primary productivity (GPP) responds to extreme droughts. The results show that this method is more reasonable and robust compared to the correlation-based method. The study also highlights the importance of considering vegetation type, water balance, and soil textures in understanding the spatial heterogeneity of dominant time scales.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Shudi Xie, Xingguo Mo, Suxia Liu, Shi Hu
Summary: Plant hydraulics plays an important role in predicting carbon and water fluxes and their responses to drought. By developing a plant hydraulic scheme and incorporating it into a vegetation interface processes model, the authors improved the simulation accuracy of evapotranspiration and gross primary production. These findings highlight the importance of including plant hydraulics in future Earth system models under drought conditions.
WATER RESOURCES RESEARCH
(2023)
Article
Biodiversity Conservation
Yu Bai, Shenggong Li
Summary: Global change has led to severe degradation of grassland ecosystems in the Mongolian Plateau. Understanding the response of vegetation growth peaks and their response to drought in this region is crucial for understanding the impacts of global change on vegetation.
ECOLOGICAL INDICATORS
(2022)
Article
Biodiversity Conservation
Adria Descals, Aleixandre Verger, Gaofei Yin, Iolanda Filella, Yongshuo H. Fu, Shilong Piao, Ivan A. Janssens, Josep Penuelas
Summary: This study investigates the impact of temperature and radiation on carbon uptake in temperate and cold regions. The results show that radiation constrains the temperature response during the end-of-season, while temperature has a strong influence on the start of carbon uptake.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Ecology
Wujun Dai, Huiying Jin, Lin Zhou, Tong Liu, Yuhong Zhang, Zhiqiang Zhou, Yongshuo H. Fu, Guangze Jin
Summary: Machine learning-based binary classification phenological model can accurately predict the phenological changes of temperate trees, overcoming the problem of insufficient observation samples, and providing new insights for phenological predictions of tropical and subtropical trees.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2023)
Article
Engineering, Civil
Shouzhi Chen, Yongshuo H. Fu, Zhaofei Wu, Fanghua Hao, Zengchao Hao, Yahui Guo, Xiaojun Geng, Xiaoyan Li, Xuan Zhang, Jing Tang, Vijay P. Singh, Xuesong Zhang
Summary: The Soil and Water Assessment Tool (SWAT) model is widely used for simulating the water cycle and quantifying the impacts of climate change and human activities on hydrological processes. However, its representation of vegetation dynamics has been a major source of uncertainty. This study improves the SWAT model by incorporating dynamic growth start dates and heat requirements for vegetation growth based on long-term remote sensing data. The improved model shows significant improvements in simulating leaf area index (LAI) and evapotranspiration, indicating the importance of accurately representing phenological dates in vegetation growth modules.
JOURNAL OF HYDROLOGY
(2023)
Article
Environmental Sciences
Yunhua Mo, Xuan Zhang, Zunchi Liu, Jing Zhang, Fanghua Hao, Yongshuo Fu
Summary: The response of vegetation spring phenology to climate warming has been widely studied, but there is a lack of research on the response to extreme climate events. This study analyzed the start of the growing season (SOS) and extreme climate events in temperate China from 1982 to 2015. The results showed that the SOS was significantly advanced due to temperature extremes rather than extreme precipitation events. The SOS was mainly influenced by frost days and mean daily minimum temperature, with vegetation type-specific variations.
Article
Environmental Sciences
Yuhao Pan, Dailiang Peng, Jing M. Chen, Ranga B. Myneni, Xiaoyang Zhang, Alfredo R. Huete, Yongshuo H. Fu, Shijun Zheng, Kai Yan, Le Yu, Peng Zhu, Miaogen Shen, Weimin Ju, Wenquan Zhu, Qiaoyun Xie, Wenjiang Huang, Zhengchao Chen, Jingfeng Huang, Chaoyang Wu
Summary: Global warming has caused earlier spring green-up dates, impacting global carbon and hydrologic cycles. Land cover change (LCC) can also affect these dates. By analyzing satellite data from 1992 to 2020, we found that climate variables had a larger impact overall, but LCC controlled the variability in green-up dates in 6% of the Northern Hemisphere. Changes in land cover types led to earlier or later green-up dates in specific regions. Ignoring the impact of LCC overestimated the climate change attribution of earlier green-up dates by three days.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Geography, Physical
Zijing Guo, Cheng Sun, Yongshuo Fu, Yusen Liu, Tian Wei, Wei Lou
Summary: This study finds that although global warming rates are similar between two warming periods, warming trends in the northern extratropics show significant differences. Additionally, vegetation greening trends also differ greatly, with the latter period being 3-4 times greater. Analysis reveals that the Atlantic Multidecadal Oscillation (AMO) and Pacific Decadal Oscillation (PDO) play critical roles in regional climate and vegetation dynamics.
GLOBAL AND PLANETARY CHANGE
(2023)
Article
Ecology
Wenhuan Mu, Xiuchen Wu, J. Julio Camarero, Yongshuo H. Fu, Jianguo Huang, Xiaoyan Li, Deliang Chen
Summary: This study examines the cessation of wood formation in northern conifers and reveals the dominant role of photoperiod in this process. It also highlights the interactive effects between photoperiod, seasonal climatic factors, and preceding xylem phenophases in different ecoregions and tree species.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2023)
Article
Environmental Sciences
Long Li, Wenfeng Zhan, Weimin Ju, Josep Penuelas, Zaichun Zhu, Shushi Peng, Xiaolin Zhu, Zihan Liu, Yuyu Zhou, Jiufeng Li, Jiameng Lai, Fan Huang, Gaofei Yin, Yongshuo Fu, Manchun Li, Chao Yu
Summary: Urban vegetation is influenced by complex urban environments. The study reveals that greenness trends decrease from urban cores to urban new towns, and brownish trends are observed in urban fringes. These results highlight the joint influence of biogeochemical drivers and land-cover changes on the urban-rural gradient in vegetation trends, providing insights into future global vegetation change.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Zhiying Xie, Cenliang Zhao, Wenquan Zhu, Hui Zhang, Yongshuo H. Fu
Summary: This study proposed a photosynthetically active radiation (PAR)-regulated dynamic sigma(max) (PAR-LUE) model for estimating gross primary productivity (GPP). Compared to existing LUE models, the PAR-LUE model can accurately estimate GPP and reduce estimation errors. The validation results showed that the PAR-LUE model had higher accuracy in GPP estimation compared to other LUE models, and effectively alleviated the underestimation of high GPP. In summary, the PAR-sigma(max) model provides a method for estimating GPP using spatiotemporal dynamic sigma(max), which reduces the uncertainty in GPP estimation and offers a new option for optimizing sigma(max) in the LUE model.
Article
Agronomy
Shuxin Wang, Zhaofei Wu, Yufeng Gong, Yangjing Nie, Zunchi Liu, Yansheng Chen, Hans J. De Boeck, Yongshuo Fu
Summary: Global warming usually delays autumn leaf senescence, impacting carbon and water cycles and climate. However, some regions in the Northern Hemisphere have experienced autumn cooling since the early 21st century. It is unclear whether cooling affects leaf senescence to the same extent as warming. This study conducted an experiment with warming or cooling treatments on ginkgo and oak saplings to investigate the effects of seasonal temperature changes on leaf senescence.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Multidisciplinary Sciences
Constantin M. Zohner, Leila Mirzagholi, Susanne S. Renner, Lidong Mo, Dominic Rebindaine, Raymo Bucher, Daniel Palous, Yann Vitasse, Yongshuo H. Fu, Benjamin D. Stocker, Thomas W. Crowther
Summary: Climate change is altering the growing seasons of plants, affecting species performance and biogeochemical cycles. The timing of autumn leaf senescence in Northern Hemisphere forests is uncertain, but early-season and late-season warming have opposite effects on leaf senescence, with a reversal occurring after the summer solstice. Increased temperature and vegetation activity before the solstice led to an earlier senescence onset, while warmer post-solstice temperatures extended senescence duration. These changes in leaf senescence can impact growing-season length and forest productivity in the Northern Hemisphere.
Article
Multidisciplinary Sciences
Xiaoxia Li, Eryuan Liang, J. Julio Camarero, Sergio Rossi, Jingtian Zhang, Haifeng Zhu, Yongshuo H. Fu, Jian Sun, Tao Wang, Shilong Piao, Josep Penuelas
Summary: Under warmer springs, growth reactivation in trees is advanced while delayed in shrubs at the alpine treeline. This phenological mismatch creates a competitive advantage for trees and offers a new explanation for the dynamics of alpine treeline under climate change. A combination of long-term monitoring and meta-analysis revealed that shrubs are more sensitive to chilling accumulation, leading to delayed response in warmer winters and a shorter growing season. The findings suggest that the warming-induced phenological mismatch may contribute to the increasing shifts in alpine treeline.
NATIONAL SCIENCE REVIEW
(2023)
Article
Multidisciplinary Sciences
Ziqian Zhong, Bin He, Ying-Ping Wang, Hans W. Chen, Deliang Chen, Yongshuo H. Fu, Yaning Chen, Lanlan Guo, Ying Deng, Ling Huang, Wenping Yuan, Xingmin Hao, Rui Tang, Huiming Liu, Liying Sun, Xiaoming Xie, Yafeng Zhang
Summary: The influence of atmospheric vapor pressure deficit (VPD) on plant photosynthesis is well recognized, but its interactions with air temperature and soil moisture hinder a complete understanding of its impact on vegetation production. By excluding interactive effects, this study reveals a diverging response of productivity to VPD in the Northern Hemisphere. The interactions between VPD and temperature/soil moisture not only offset the potential positive impact of warming on vegetation productivity, but also amplify the negative effect of soil drying. Notably, there is a pronounced shift in vegetation productivity's response to VPD in high-latitude ecosystems when VPD surpasses a threshold of 3.5 to 4.0 hectopascals.
Article
Ecology
Yunhua Mo, Jing Zhang, Hong Jiang, Yongshuo H. Fu
Summary: Vegetation phenological models are essential in terrestrial ecosystem modeling, but uncertainties remain due to unclear mechanisms underlying spring phenological events. This study combined the effects of photoperiod and precipitation to analyze the performance of 17 spring phenological models. The results showed that temperature-based models incorporating the growing-degree-day temperature response had better performance than those using the sigmoid temperature response. Additionally, different vegetation types showed varying temperature preferences for spring phenology prediction. These findings emphasize the importance of considering the asymmetric effects of daytime and nighttime temperature in future spring phenological models across different vegetation types.
FRONTIERS IN FORESTS AND GLOBAL CHANGE
(2023)
Article
Multidisciplinary Sciences
Xiaojun Geng, Yaru Zhang, Yongshuo H. Fu, Fanghua Hao, Ivan A. Janssens, Josep Penuelas, Shilong Piao, Jing Tang, Zhaofei Wu, Jing Zhang, Xuan Zhang, Nils Chr Stenseth
Summary: The response of spring leaf-out to climate warming exhibits complicated spatial differences, which are influenced by the interactions among environmental factors. The study emphasizes the importance of incorporating spatial differences in environmental cues into models to improve simulation accuracy.
FUNDAMENTAL RESEARCH
(2022)
