Article
Environmental Sciences
Zhiguang Chen, Miaogen Shen, Nan Jiang, Jin Chen, Yanhong Tang, Song Gu
Summary: Daytime warming can delay the end of the vegetation growing season on the Tibetan Plateau, despite the inhibitory effect of low temperatures on alpine vegetation activity. Researchers should take into account the interactive effects of temperature and precipitation on the timing of the growing season when modeling autumn phenology in this region.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
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
Ecology
Huiying Liu, Chunyan Lu, Songdan Wang, Fei Ren, Hao Wang
Summary: The research found that experimental warming did not significantly affect the duration of the reproductive phases of terrestrial plants globally, but did lead to a lengthening of the growing season. The temperature sensitivity of reproductive phases was influenced by the taxa of plants, and the lengthening of the growing season was affected by the magnitude of warming.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2021)
Article
Environmental Sciences
Cancan Qiao, Shi Shen, Changxiu Cheng, Junxu Wu, Duo Jia, Changqing Song
Summary: The study found that the phenology in the Qilian Mountains showed spatial and temporal heterogeneity, with the start of the growing season gradually delayed as altitude increased from southeast to northwest. Overall, there was an advanced trend in the annual average start of the growing season, a delayed trend in the end of the growing season, and an extended trend in the length of the growing season. Preseason temperatures were found to affect the start and end of the growing season, with the length of the growing season being positively correlated with annual mean temperature.
Article
Biochemistry & Molecular Biology
Yuxin Qiao, Hongshuang Gu, Hanfeng Xu, Qimei Ma, Xin Zhang, Qin Yan, Jie Gao, Yuchuan Yang, Sergio Rossi, Nicholas G. Smith, Jianquan Liu, Lei Chen
Summary: The phenological changes induced by climate warming have significant impacts on water, energy, and carbon cycling in forest ecosystems. Our study reveals that growing-season warming advances spring and autumn phenology, but the accelerating effects of warming on tree phenology gradually disappear, resulting in delayed phenological events. We also found a synchronized decline in the effect of growing-season warming on photosynthetic productivity.
Article
Environmental Sciences
Liqun Wang, Hans J. De Boeck, Lixin Chen, Conghe Song, Zuosinan Chen, Steve McNulty, Zhiqiang Zhang
Summary: Urban spring phenology changes are influenced by multiple factors and have significant impacts on ecosystem and human health.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Zhongxiang Fang, Martin Brandt, Lanhui Wang, Rasmus Fensholt
Summary: Plant phenology provides crucial information on the seasonal dynamics of plants, with changes reflecting the impact of climate change and human management on the biosphere. This study focuses on the impact of changes in tree cover on satellite observed land surface phenology globally over the past three decades, revealing that areas where tree cover increased experienced an extension of the growing season length in 36.6% of cases, compared to only 20.1% in areas with decreased tree cover. Additionally, the ratio between tree cover and short vegetation cover plays a role in influencing the length of the growing season, with denser tree cover showing a more pronounced extension (especially in boreal forests).
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agronomy
Miaogen Shen, Xiaolin Zhu, Dailiang Peng, Nan Jiang, Yan Huang, Jin Chen, Cong Wang, Wenwu Zhao
Summary: This study explores the spatial variation in the temperature sensitivity of vegetation spring leafing phenology in the Northern Hemisphere. It shows that areas with stronger temperature seasonality have smaller temperature sensitivity of vegetation greenup onset date. This is possibly due to stronger pre-greenup temperature constraints leading to faster leaf development rates.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
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
Biodiversity Conservation
Chaoya Dang, Zhenfeng Shao, Xiao Huang, Qingwei Zhuang, Gui Cheng, Jiaxin Qian
Summary: This study used the OFP method and RDA to determine the importance of key drivers of vegetation productivity in Northern Hemisphere ecosystems. The results showed that solar-induced chlorophyll fluorescence, gross primary productivity, and net primary productivity increased in most vegetation areas. The length of the growing season and temperature were identified as the dominant factors driving vegetation productivity.
ECOLOGICAL INDICATORS
(2023)
Article
Geosciences, Multidisciplinary
Quandi Niu, Xuecao Li, Jianxi Huang, Hai Huang, Xianda Huang, Wei Su, Wenping Yuan
Summary: In this study, a fine-resolution phenology product of maize in China was generated using Landsat observations, providing accurate information on crop growth phases. The dataset was consistent with in situ observations and MODIS phenology product, and it revealed noticeable changes in maize phenology temporal trends before and after 2000.
EARTH SYSTEM SCIENCE DATA
(2022)
Review
Ecology
Daniel S. Park, Erica A. Newman, Ian K. Breckheimer
Summary: This article discusses the heterogeneity of phenology across different scales and emphasizes the importance of scale dependence in phenology. It also suggests opportunities to address the sensitivity of phenological metrics to measurement scale. While most studies focus on plants, it provides a general approach for understanding the role of observation scale in landscape phenology.
TRENDS IN ECOLOGY & EVOLUTION
(2021)
Article
Remote Sensing
Alison Donnelly, Rong Yu, Lingling Liu
Summary: This study compared the seasonal phases of vegetation in different locations in Ireland and found discrepancies between satellite remote sensing results and in-situ observations, possibly due to differences in scale between the methods, limitations in vegetation monitoring, landscape heterogeneity, and technical differences in satellite sensors.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Editorial Material
Environmental Sciences
Gesche Blume-Werry
Summary: Plants respond differently to warming in terms of leaf and root phenology, with a meta-analysis showing that the two do not necessarily correlate within the same plant types.
NATURE CLIMATE CHANGE
(2022)
Article
Environmental Sciences
Lu Yang, Shuqing Zhao
Summary: Climate change has significant impacts on terrestrial vegetation dynamics. This study assessed the effects of phenology changes on vegetation growth in China, using satellite phenology metrics and gross primary production (GPP) data. The findings showed that the phenological metrics changed more dramatically in urban environments compared to natural environments. The narrowing of the urban-natural GPP difference over time can be attributed to the advanced start of growing season (SOS) and extended length of growing season (GSL) in urban settings.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Wenhui Chen, Huijuan Cui, Quansheng Ge
Summary: With global warming, the frequency and intensity of extreme precipitation in China are generally increasing. The study reveals a complex trend in the dependency of extreme precipitation events on temperature in China, with negative relationships found dominant in most areas in summer.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Environmental Sciences
Yujie Liu, Jie Zhang, Tao Pan, Quansheng Ge
Summary: Phenology is widely used as a bio-indicator of climate change. This study in China found that climate change and anthropogenic-management practices have significant effects on maize phenology, with differences in the growing periods of different maize types and regions. The study highlights the importance of considering both climate change and management practices in formulating adaptation strategies for agriculture in the face of climate change.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Agronomy
Shaozhi Lin, Huanjiong Wang, Quansheng Ge, Zhi Hu
Summary: The study found that 8 out of 14 temperate woody species exhibited significantly different relationships between chilling accumulation and heat requirement in two different winter seasons. Using the chilling model from the first year to simulate spring events in the second year resulted in large uncertainties, with root-mean-square errors ranging from 1.3 to 9.9 days. Additional chilling models were found to improve the phenological simulation by reducing RMSE by 0.1-3.7 days for 10 species.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Li-Li Sun, Hui-Juan Cui, Quan-Sheng Ge
Summary: This study predicts the emission trajectories at the provincial level in China and finds that most provinces can achieve peak emissions before 2030, but achieving carbon neutrality before 2060 is challenging. The provincial neutrality time is concentrated between 2058 and 2070.
ADVANCES IN CLIMATE CHANGE RESEARCH
(2022)
Article
Agronomy
Chao Zhang, Jinwei Dong, Lijun Zuo, Quansheng Ge
Summary: This study proposed a two-step strategy to map annual irrigated areas in China from 2000 to 2019. The results showed that the total irrigated area in China increased by 24.8%, mainly in the northern region, due to land reclamation and improved irrigation infrastructure.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Agriculture, Multidisciplinary
Chao Zhang, Jinwei Dong, Quansheng Ge
Summary: With the development of remote sensing technology, fine-resolution cropland datasets have become powerful tools for agriculture planning and food security evaluation. This study compared and evaluated six crop-land products in China in 2015, finding differences in spatial consistency, provincial area accuracy, and pixel-wise accuracy.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Environmental Sciences
Yujie Liu, Jie Zhang, Tao Pan, Qiaomin Chen, Ya Qin, Quansheng Ge
Summary: This study conducted a probabilistic assessment to analyze the production of major crops in the near future under climate change. The results showed that without adaptation measures, there will be significant yield loss in major crop-producing areas, with wheat being more affected than maize in terms of yield reduction and water use efficiency.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Letter
Environmental Sciences
Y. Vitasse, F. Baumgarten, C. M. Zohner, T. Rutishauser, B. Pietragalla, R. Gehrig, J. Dai, H. Wang, Y. Aono, T. H. Sparks
NATURE CLIMATE CHANGE
(2022)
Article
Plant Sciences
Zhi Hu, Huanjiong Wang, Junhu Dai, Quansheng Ge, Shaozhi Lin
Summary: This study analyzed experimental data of 14 temperate woody species in Beijing, China to quantify the forcing requirements and chilling sensitivity for spring phenology. The results showed that the decrease in chilling had a smaller effect compared to the increase in forcing, leading to earlier spring events. In future climate scenarios, the spring phenology of temperate species would continue to advance but will be limited by the decreased chilling.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Biodiversity Conservation
Huanjiong Wang, Junhu Dai, Josep Penuelas, Quansheng Ge, Yongshuo H. Fu, Chaoyang Wu
Summary: Insufficient chilling caused by winter warming delays leaf-out date and offsets the advance caused by spring warming. The reduction in chilling could continuously offset the advance of leaf-out in future warming scenarios.
GLOBAL CHANGE BIOLOGY
(2022)
Article
Environmental Sciences
Aqeel Ahmad, Yujie Liu, Quansheng Ge
Summary: The changing environment poses a threat to food security and the nutritional quality of crops. Through studying the nutritional profile and yield of maize crops, this research reveals the response of maize plant enzyme activities to different environments and the impact of climate change on maize nutritional quality.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Chaoyang Wu, Jie Peng, Philippe Ciais, Josep Penuelas, Huanjiong Wang, Santiago Begueria, T. Andrew Black, Rachhpal S. Jassal, Xiaoyang Zhang, Wenping Yuan, Eryuan Liang, Xiaoyue Wang, Hao Hua, Ronggao Liu, Weimin Ju, Yongshuo H. Fu, Quansheng Ge
Summary: Global warming has delayed the autumn date of foliar senescence (DFS) in recent decades, which has positive implications for growing season length and global carbon storage. However, warming-associated drought may stimulate earlier DFS due to water limitation. This study uses ground observations and satellite data to show the increased impact of drought on DFS, linking it to decreased precipitation under warming and weaker drought resistance in plants with different functional traits. An improved set of phenology models based on these findings suggests earlier DFS by the end of the century, especially in high latitude areas.
NATURE CLIMATE CHANGE
(2022)
Article
Agronomy
Chengxi Gao, Huanjiong Wang, Quansheng Ge
Summary: Accurately predicting tree phenology plays a crucial role in assessing the impact of climate change on ecosystems. The current process-based models are limited in explaining and quantifying the effects of multiple biotic and environmental factors on autumn phenology. In this study, using leaf senescence data from Europe, we compared process-based models and machine learning algorithms to predict leaf senescence date and identify driving variables. We found that the machine learning models outperformed the process-based models and identified geographic factors as the most important variables.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Forestry
Huanjiong Wang, Chengxi Gao, Quansheng Ge, Annikki Makela
Summary: This study investigated the effects of temperature and photoperiod on leaf senescence in temperate tree species. The results showed that low temperature alone could induce leaf senescence, with L. principis-rupprechtii being more sensitive than Q. mongolica. Short photoperiod could only induce leaf senescence in L. principis-rupprechtii, and its effect decreased with decreasing temperature. The study developed a new autumn phenology model that incorporated interspecific differences in photoperiod sensitivity, which performed better in simulating observed leaf senescence date compared to existing models. This new model could improve the prediction of climate change impacts on forest carbon uptake.
