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Guirui Yu
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

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Journal article
Published: 09 August 2021 in Ecological Indicators
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Precipitation-use efficiency (PUE) is an important ecosystem indicator of the efficiency of carbon–water conversion. The trend and interannual variation of precipitation-use efficiency (PUE) response to climatic factors provide a theoretical foundation for understanding how Eurasian grasslands adapt to climate change. However, the long-term trends and regulating factors of PUE in Eurasian grasslands at the continental scale are still unclear. Here, we integrated long-term Global Inventory Monitoring and Modeling System (GIMMS) Normalized Difference Vegetation Index (NDVI), field surveys of aboveground net primary production (ANPP) and meteorological datasets during 1982–2015 to reveal the temporal variations and controls of PUE in Eurasian grasslands. We found that there was an overall uptrend of PUE (3 × 10−3 g C m−2 mm−1/10 yr) in Eurasian grasslands. The greatest increasing trends of PUE was found in forest steppe at the rate of 13 × 10−3 g C m−2 mm−1/10 yr, while greatest decreasing trend presented in alpine steppe at the rate of −2.6 × 10−3 g C m−2 mm−1/10 yr. The PUE showed linearly decreasing patterns with precipitation at the biome and continental scales, while it was uncorrelated with temperature at the continental scale and showed diverse patterns of linear increase, concave-down and no correlation with temperature for different biomes. The temporal variation of PUE was mainly controlled by precipitation in Eurasian grasslands. This result further revealed that climatic factors shaped the temporal pattern of PUE by the cascading effects networks of climatic factors (precipitation and temperature) − vapor pressure deficit (VPD) – leaf area index (LAI) – ANPP – PUE (CVLP-CENet). This study identified the long-term trends, interannual variations and controls of PUE in Eurasian grasslands over the past three decades, and provided crucial insights into understanding grassland ecosystems dynamics and response to climate change.

ACS Style

Tianyou Zhang; Zhi Chen; Weikang Zhang; Cuicui Jiao; Meng Yang; Qiufeng Wang; Lang Han; Zheng Fu; Zhongyi Sun; Wenhua Li; Guirui Yu. Long-term trend and interannual variability of precipitation-use efficiency in Eurasian grasslands. Ecological Indicators 2021, 130, 108091 .

AMA Style

Tianyou Zhang, Zhi Chen, Weikang Zhang, Cuicui Jiao, Meng Yang, Qiufeng Wang, Lang Han, Zheng Fu, Zhongyi Sun, Wenhua Li, Guirui Yu. Long-term trend and interannual variability of precipitation-use efficiency in Eurasian grasslands. Ecological Indicators. 2021; 130 ():108091.

Chicago/Turabian Style

Tianyou Zhang; Zhi Chen; Weikang Zhang; Cuicui Jiao; Meng Yang; Qiufeng Wang; Lang Han; Zheng Fu; Zhongyi Sun; Wenhua Li; Guirui Yu. 2021. "Long-term trend and interannual variability of precipitation-use efficiency in Eurasian grasslands." Ecological Indicators 130, no. : 108091.

Journal article
Published: 30 July 2021 in Environmental Research
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Long-term atmospheric nitrogen (N) deposition increases bioavailable N in terrestrial ecosystems, thereby influencing ecosystem productivity. However, how N deposition and its components (i.e., NO3−–N and NH4+–N) influence the spatial pattern of productivity in terrestrial ecosystems in China remains unknown. Here, we utilize published data including carbon (C) fluxes from eddy flux tower (gross ecosystem productivity, ecosystem respiration, and net ecosystem productivity) and the corresponding climate and N deposition data for 60 typical ecosystems in China. The objective was to investigate the effect of N deposition on ecosystem productivity and explore the variations of N use efficiency (NUE). Our results reveal that atmospheric total N deposition is significantly correlated with C fluxes of terrestrial ecosystems in China. Ecosystems respond variably to different components of N deposition. In detail, forest ecosystem marginally correlated with NO3−–N and wet deposition, while grassland ecosystem significantly correlated with NH4+–N and dry deposition. NUE of productivity induced by N deposition in Chinese terrestrial ecosystems was 53.95 ± 40.30 g C g−1 N, and it was influenced by precipitation and aridity index. This study quantifies the contribution of total N deposition and its associated components to productivity in terrestrial ecosystems in China, offering vital information for regional C and N management.

ACS Style

Jianxing Zhu; Qiufeng Wang; Nianpeng He; Guirui Yu. Effect of atmospheric nitrogen deposition and its components on carbon flux in terrestrial ecosystems in China. Environmental Research 2021, 202, 111787 .

AMA Style

Jianxing Zhu, Qiufeng Wang, Nianpeng He, Guirui Yu. Effect of atmospheric nitrogen deposition and its components on carbon flux in terrestrial ecosystems in China. Environmental Research. 2021; 202 ():111787.

Chicago/Turabian Style

Jianxing Zhu; Qiufeng Wang; Nianpeng He; Guirui Yu. 2021. "Effect of atmospheric nitrogen deposition and its components on carbon flux in terrestrial ecosystems in China." Environmental Research 202, no. : 111787.

Review article
Published: 28 June 2021 in Geography and Sustainability
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Ecosystem is a fundamental organizational unit of the biosphere in which biological communities interact with their non-biological environment through energy flows and material cycles. Ecosystem Science is the study of patterns, processes, and services of ecosystems. Since the 1990s, rising concerns regarding global climate change, biodiversity loss, ecosystem degradation, and sustainability of the human-dominated biosphere have stimulated the growth of Ecosystem Science, which is expected to provide systematic solutions to many of these major issues facing human societies. This paper provides a comprehensive review of the current progress in Ecosystem Science and identifies some key research challenges facing this discipline. We demonstrate that a key feature of the current progress in Ecosystem Science is its evolution from primarily theoretical explorations toward more systematic, integrative and application-oriented studies. Specifically, five major changes in the discipline over the past several decades can be identified. These include: (1) the expansion of the primary goal from understanding nature to include human activities; (2) the broadening of the research focus from single ecosystem types to macro-ecosystems comprising multiple regional ecosystems; (3) the shifting of research methods from small-scale observations and experiments to large-scale observations, network experiments, and model simulations; (4) the increasing attention to comprehensive integration of ecosystem components, processes, and scales; and (5) the shifting from a primarily biology-oriented focus to an integrated multi-disciplinary scientific field. While Ecosystem Science still faces many challenges in the future, these directional changes, along with the rapidly enriched research tools and data acquisition capabilities, lay a promising ground for the discipline's future as a fundamental scientific basis for solving many environmental challenges facing human societies.

ACS Style

Guirui Yu; Shilong Piao; Yangjian Zhang; Lingli Liu; Jian Peng; Shuli Niu. Moving Toward a New Era of Ecosystem Science. Geography and Sustainability 2021, 1 .

AMA Style

Guirui Yu, Shilong Piao, Yangjian Zhang, Lingli Liu, Jian Peng, Shuli Niu. Moving Toward a New Era of Ecosystem Science. Geography and Sustainability. 2021; ():1.

Chicago/Turabian Style

Guirui Yu; Shilong Piao; Yangjian Zhang; Lingli Liu; Jian Peng; Shuli Niu. 2021. "Moving Toward a New Era of Ecosystem Science." Geography and Sustainability , no. : 1.

Research article
Published: 09 April 2021 in Science Advances
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Warming-induced carbon loss through terrestrial ecosystem respiration (Re) is likely getting stronger in high latitudes and cold regions because of the more rapid warming and higher temperature sensitivity of Re (Q 10). However, it is not known whether the spatial relationship between Q 10 and temperature also holds temporally under a future warmer climate. Here, we analyzed apparent Q 10 values derived from multiyear observations at 74 FLUXNET sites spanning diverse climates and biomes. We found warming-induced decline in Q 10 is stronger at colder regions than other locations, which is consistent with a meta-analysis of 54 field warming experiments across the globe. We predict future warming will shrink the global variability of Q 10 values to an average of 1.44 across the globe under a high emission trajectory (RCP 8.5) by the end of the century. Therefore, warming-induced carbon loss may be less than previously assumed because of Q 10 homogenization in a warming world.

ACS Style

Ben Niu; Xianzhou Zhang; Shilong Piao; Ivan A. Janssens; Gang Fu; Yongtao He; Yangjian Zhang; Peili Shi; Erfu Dai; Chengqun Yu; Jing Zhang; Guirui Yu; Ming Xu; Jianshuang Wu; Liping Zhu; Ankur R. Desai; Jiquan Chen; Gil Bohrer; Christopher M. Gough; Ivan Mammarella; Andrej Varlagin; Silvano Fares; Xinquan Zhao; Yingnian Li; Huiming Wang; Zhu Ouyang. Warming homogenizes apparent temperature sensitivity of ecosystem respiration. Science Advances 2021, 7, eabc7358 .

AMA Style

Ben Niu, Xianzhou Zhang, Shilong Piao, Ivan A. Janssens, Gang Fu, Yongtao He, Yangjian Zhang, Peili Shi, Erfu Dai, Chengqun Yu, Jing Zhang, Guirui Yu, Ming Xu, Jianshuang Wu, Liping Zhu, Ankur R. Desai, Jiquan Chen, Gil Bohrer, Christopher M. Gough, Ivan Mammarella, Andrej Varlagin, Silvano Fares, Xinquan Zhao, Yingnian Li, Huiming Wang, Zhu Ouyang. Warming homogenizes apparent temperature sensitivity of ecosystem respiration. Science Advances. 2021; 7 (15):eabc7358.

Chicago/Turabian Style

Ben Niu; Xianzhou Zhang; Shilong Piao; Ivan A. Janssens; Gang Fu; Yongtao He; Yangjian Zhang; Peili Shi; Erfu Dai; Chengqun Yu; Jing Zhang; Guirui Yu; Ming Xu; Jianshuang Wu; Liping Zhu; Ankur R. Desai; Jiquan Chen; Gil Bohrer; Christopher M. Gough; Ivan Mammarella; Andrej Varlagin; Silvano Fares; Xinquan Zhao; Yingnian Li; Huiming Wang; Zhu Ouyang. 2021. "Warming homogenizes apparent temperature sensitivity of ecosystem respiration." Science Advances 7, no. 15: eabc7358.

Microbiology
Published: 26 February 2021 in PeerJ
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Spatial heterogeneity of soil bacterial community depends on scales. The fine-scale spatial heterogeneity of bacterial community composition and functions remains unknown. We analyzed the main driving factors of fine-scale spatial patterns of soil bacterial community composition and carbon metabolic functions across a 30 m × 40 m plot within a Korean pine forest by combining Illumina 16S rRNA sequencing with Biolog Ecoplates based on 53 soil samples. Clear spatial patterns in bacterial community composition and metabolic functions were observed in the forest soil. The bacterial community composition and metabolic functions both showed distance-decay of similarity within a distance of meters. Structural equation model analysis revealed that environmental variables and geographic distance together explained 37.9% and 63.1% of community and metabolic functions, respectively. Among all environmental factors, soil organic carbon (SOC) and root biomass emerged as the most important drivers of the bacterial community structure. In contrast, soil pH explained the largest variance in metabolic functions. Root biomass explained the second-largest variance in soil bacterial community composition, but root traits made no difference in metabolic functions variance. These results allow us to better understand the mechanisms controlling belowground diversity and plant-microbe interactions in forest ecosystems.

ACS Style

Jialing Teng; Jing Tian; Guirui Yu; Yakov Kuzyakov. Soil properties and root traits jointly shape fine-scale spatial patterns of bacterial community and metabolic functions within a Korean pine forest. PeerJ 2021, 9, e10902 .

AMA Style

Jialing Teng, Jing Tian, Guirui Yu, Yakov Kuzyakov. Soil properties and root traits jointly shape fine-scale spatial patterns of bacterial community and metabolic functions within a Korean pine forest. PeerJ. 2021; 9 ():e10902.

Chicago/Turabian Style

Jialing Teng; Jing Tian; Guirui Yu; Yakov Kuzyakov. 2021. "Soil properties and root traits jointly shape fine-scale spatial patterns of bacterial community and metabolic functions within a Korean pine forest." PeerJ 9, no. : e10902.

Data descriptor
Published: 02 February 2021 in Scientific Data
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Chinese forests cover most of the representative forest types in the Northern Hemisphere and function as a large carbon (C) sink in the global C cycle. The availability of long-term C dynamics observations is key to evaluating and understanding C sequestration of these forests. The Chinese Ecosystem Research Network has conducted normalized and systematic monitoring of the soil-biology-atmosphere-water cycle in Chinese forests since 2000. For the first time, a reference dataset of the decadal C cycle dynamics was produced for 10 typical Chinese forests after strict quality control, including biomass, leaf area index, litterfall, soil organic C, and the corresponding meteorological data. Based on these basic but time-discrete C-cycle elements, an assimilated dataset of key C cycle parameters and time-continuous C sequestration functions was generated via model-data fusion, including C allocation, turnover, and soil, vegetation, and ecosystem C storage. These reference data could be used as a benchmark for model development, evaluation and C cycle research under global climate change for typical forests in the Northern Hemisphere.

ACS Style

Honglin He; Rong Ge; Xiaoli Ren; Li Zhang; Qingqing Chang; Qian Xu; GuoYi Zhou; Zongqiang Xie; Silong Wang; Huimin Wang; Qibin Zhang; Anzhi Wang; Zexin Fan; Yiping Zhang; Weijun Shen; Huajun Yin; Luxiang Lin; Mathew Williams; Guirui Yu. Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation. Scientific Data 2021, 8, 1 -13.

AMA Style

Honglin He, Rong Ge, Xiaoli Ren, Li Zhang, Qingqing Chang, Qian Xu, GuoYi Zhou, Zongqiang Xie, Silong Wang, Huimin Wang, Qibin Zhang, Anzhi Wang, Zexin Fan, Yiping Zhang, Weijun Shen, Huajun Yin, Luxiang Lin, Mathew Williams, Guirui Yu. Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation. Scientific Data. 2021; 8 (1):1-13.

Chicago/Turabian Style

Honglin He; Rong Ge; Xiaoli Ren; Li Zhang; Qingqing Chang; Qian Xu; GuoYi Zhou; Zongqiang Xie; Silong Wang; Huimin Wang; Qibin Zhang; Anzhi Wang; Zexin Fan; Yiping Zhang; Weijun Shen; Huajun Yin; Luxiang Lin; Mathew Williams; Guirui Yu. 2021. "Reference carbon cycle dataset for typical Chinese forests via colocated observations and data assimilation." Scientific Data 8, no. 1: 1-13.

Primary research article
Published: 02 February 2021 in Global Change Biology
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Current consensus on global climate change predicts warming trends with more pronounced temperature changes in winter than summer in the Northern Hemisphere at high latitudes. Moderate increases in soil temperature are generally related to faster rates of soil organic carbon (SOC) decomposition in Northern ecosystems, but there is evidence that SOC stocks have remained remarkably stable or even increased on the Tibetan Plateau under these conditions. This intriguing observation points to altered soil microbial mediation of carbon‐cycling feedbacks in this region that might be related to seasonal warming. This study investigated the unexplained SOC stabilization observed on the Tibetan Plateau by quantifying microbial responses to experimental seasonal warming in a typical alpine meadow. Ecosystem respiration was reduced by 17%–38% under winter warming compared with year‐round warming or no warming and coincided with decreased abundances of fungi and functional genes that control labile and stable organic carbon decomposition. Compared with year‐round warming, winter warming slowed macroaggregate turnover rates by 1.6 times, increased fine intra‐aggregate particulate organic matter content by 75%, and increased carbon stabilized in microaggregates within stable macroaggregates by 56%. Larger bacterial “necromass” (amino sugars) concentrations in soil under winter warming coincided with a 12% increase in carboxyl‐C. These results indicate the enhanced physical preservation of SOC under winter warming and emphasize the role of soil microorganisms in aggregate life cycles. In summary, the divergent responses of SOC persistence in soils exposed to winter warming compared to year‐round warming are explained by the slowing of microbial decomposition but increasing physical protection of microbially derived organic compounds. Consequently, the soil microbial response to winter warming on the Tibetan Plateau may cause negative feedbacks to global climate change and should be considered in Earth system models.

ACS Style

Jing Tian; Ning Zong; Iain P. Hartley; Nianpeng He; Jinjing Zhang; David Powlson; Jizhong Zhou; Yakov Kuzyakov; Fusuo Zhang; Guirui Yu; Jennifer A. J. Dungait. Microbial metabolic response to winter warming stabilizes soil carbon. Global Change Biology 2021, 27, 2011 -2028.

AMA Style

Jing Tian, Ning Zong, Iain P. Hartley, Nianpeng He, Jinjing Zhang, David Powlson, Jizhong Zhou, Yakov Kuzyakov, Fusuo Zhang, Guirui Yu, Jennifer A. J. Dungait. Microbial metabolic response to winter warming stabilizes soil carbon. Global Change Biology. 2021; 27 (10):2011-2028.

Chicago/Turabian Style

Jing Tian; Ning Zong; Iain P. Hartley; Nianpeng He; Jinjing Zhang; David Powlson; Jizhong Zhou; Yakov Kuzyakov; Fusuo Zhang; Guirui Yu; Jennifer A. J. Dungait. 2021. "Microbial metabolic response to winter warming stabilizes soil carbon." Global Change Biology 27, no. 10: 2011-2028.

Review article
Published: 11 January 2021 in Current Opinion in Environmental Sustainability
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Drylands play major roles in the terrestrial carbon cycle and mitigation of climate change. Understanding the dynamics of soil organic carbon (SOC) stocks under land use change and management is essential for achieving soil C sequestration through land-based solutions for drylands. In this paper, we briefly reviewed the literature to evaluate the impact of land use change and management on dryland SOC stocks. While the site-level field measurements of SOC stocks under different types of land use change and land management are remarkable, we found that the impact is hardly quantified at the regional level using selected soil datasets or process models and may be due to insufficient data quality, representativeness and information availability, which are among the major challenges of upscaling from field measurements to estimating regional SOC stocks. Therefore, we proposed a comprehensive framework following the IPCC inventory approach to improve future studies, which underlines the needs of data collection from multiple sources, meta-analysis for calculating SOC stock change factors, and matching land and soil datasets.

ACS Style

Chao Fu; Zhi Chen; Guoqin Wang; Xiubo Yu; Guirui Yu. A comprehensive framework for evaluating the impact of land use change and management on soil organic carbon stocks in global drylands. Current Opinion in Environmental Sustainability 2021, 48, 103 -109.

AMA Style

Chao Fu, Zhi Chen, Guoqin Wang, Xiubo Yu, Guirui Yu. A comprehensive framework for evaluating the impact of land use change and management on soil organic carbon stocks in global drylands. Current Opinion in Environmental Sustainability. 2021; 48 ():103-109.

Chicago/Turabian Style

Chao Fu; Zhi Chen; Guoqin Wang; Xiubo Yu; Guirui Yu. 2021. "A comprehensive framework for evaluating the impact of land use change and management on soil organic carbon stocks in global drylands." Current Opinion in Environmental Sustainability 48, no. : 103-109.

Review article
Published: 25 December 2020 in Earth-Science Reviews
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Inland water carbon (C) sequestration rates play a potentially important role in the balance between C supplies from the atmosphere and associated watersheds and the net demand of primary producers. This study conducts a comprehensive analysis of influencing factors associated with inland water C cycling processes as well as their C sequestration potential and gross primary productivity (GPP). Additionally, we also analyze changes in the balance between C sequestration processes and GPP. Furthermore, this study describes applicable research methods used to quantify C cycling and GPP processes as well as providing corresponding estimates on regional and global scales. Finally, we offer a scientific basis to chronicle how inland water productivity controls exogenous C inputs as well as changes to biological, physical, and chemical factors. Investigations into inland water C sequestration processes under a background of climate warming will become more critical in the future, necessitating the inclusion of different aquatic system component classifications and plant species community types to determine the effects associated with GPP and C dynamic mechanisms within aquatic systems that constitute this diverse water system.

ACS Style

Yang Gao; Junjie Jia; Yao Lu; Tiantian Yang; Sidan Lyu; Kun Shi; Feng Zhou; Guirui Yu. Determining dominating control mechanisms of inland water carbon cycling processes and associated gross primary productivity on regional and global scales. Earth-Science Reviews 2020, 213, 103497 .

AMA Style

Yang Gao, Junjie Jia, Yao Lu, Tiantian Yang, Sidan Lyu, Kun Shi, Feng Zhou, Guirui Yu. Determining dominating control mechanisms of inland water carbon cycling processes and associated gross primary productivity on regional and global scales. Earth-Science Reviews. 2020; 213 ():103497.

Chicago/Turabian Style

Yang Gao; Junjie Jia; Yao Lu; Tiantian Yang; Sidan Lyu; Kun Shi; Feng Zhou; Guirui Yu. 2020. "Determining dominating control mechanisms of inland water carbon cycling processes and associated gross primary productivity on regional and global scales." Earth-Science Reviews 213, no. : 103497.

Journal article
Published: 07 July 2020 in Science of The Total Environment
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Forest age serves as an essential factor in determining the accuracy of historical and future carbon (C) uptake quantifications, which is especially critical for China since the forest C stock dynamics are sensitive to the fast-growing, young-age plantations. However, a spatially explicit forest age maps with specific focus on forest plantations is not available yet. In this study, we developed a 1-km resolution age and type maps of forest plantations, and quantified their uncertainties spatially using field-measured data, national forest inventory data, digitalized forest maps, and remote sensing-based forest height maps. Simulation results showed forest plantations were 16.5 years old at national scale in 2005, which is close to the age of 16.6 years old derived from the 7th national inventory data using medium age in each forest plantation group with weighted area. Interestingly, we found that human management played an important role in forest age map reconstruction, which has not yet been considered in former studies. We also suggest that forest age and type maps should be used consistently in C stock simulations to avoid biases from mismatch information. Large uncertainty found in this study suggests further endeavors are required for improving the forest age and type maps.

ACS Style

Zhen Yu; Hongrun Zhao; Shirong Liu; GuoYi Zhou; Jingyun Fang; Guirui Yu; XuLi Tang; Wantong Wang; Junhua Yan; Gengxu Wang; Keping Ma; Shenggong Li; Sheng Du; Shijie Han; Youxin Ma; Deqiang Zhang; Juxiu Liu; Shizhong Liu; Guowei Chu; Qianmei Zhang; Yuelin Li. Mapping forest type and age in China's plantations. Science of The Total Environment 2020, 744, 140790 .

AMA Style

Zhen Yu, Hongrun Zhao, Shirong Liu, GuoYi Zhou, Jingyun Fang, Guirui Yu, XuLi Tang, Wantong Wang, Junhua Yan, Gengxu Wang, Keping Ma, Shenggong Li, Sheng Du, Shijie Han, Youxin Ma, Deqiang Zhang, Juxiu Liu, Shizhong Liu, Guowei Chu, Qianmei Zhang, Yuelin Li. Mapping forest type and age in China's plantations. Science of The Total Environment. 2020; 744 ():140790.

Chicago/Turabian Style

Zhen Yu; Hongrun Zhao; Shirong Liu; GuoYi Zhou; Jingyun Fang; Guirui Yu; XuLi Tang; Wantong Wang; Junhua Yan; Gengxu Wang; Keping Ma; Shenggong Li; Sheng Du; Shijie Han; Youxin Ma; Deqiang Zhang; Juxiu Liu; Shizhong Liu; Guowei Chu; Qianmei Zhang; Yuelin Li. 2020. "Mapping forest type and age in China's plantations." Science of The Total Environment 744, no. : 140790.

Opinion
Published: 25 June 2020 in Trends in Ecology & Evolution
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Functional traits are frequently used to evaluate plant adaptation across environments. Yet, traits tend to have multiple functions and interactions, which cannot be accounted for in traditional correlation analyses. Plant trait networks (PTNs) clarify complex relationships among traits, enable the calculation of metrics for the topology of trait coordination and the importance of given traits in PTNs, and how they shift across communities. Recent studies of PTNs provide new insights into some important topics, including trait dimensionality, trait spectra (including the leaf economic spectrum), stoichiometric principles, and the variation of phenotypic integration along gradients of resource availability. PTNs provide improved resolution of the multiple dimensions of plant adaptation across scales and responses to shifting resources, disturbance regimes, and global change.

ACS Style

Nianpeng He; Ying Li; Congcong Liu; Li Xu; Mingxu Li; Jiahui Zhang; Jinsheng He; Zhiyao Tang; Xingguo Han; Qing Ye; Chunwang Xiao; Qiang Yu; Shirong Liu; Wei Sun; Shuli Niu; Shenggong Li; Lawren Sack; Guirui Yu. Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation. Trends in Ecology & Evolution 2020, 35, 908 -918.

AMA Style

Nianpeng He, Ying Li, Congcong Liu, Li Xu, Mingxu Li, Jiahui Zhang, Jinsheng He, Zhiyao Tang, Xingguo Han, Qing Ye, Chunwang Xiao, Qiang Yu, Shirong Liu, Wei Sun, Shuli Niu, Shenggong Li, Lawren Sack, Guirui Yu. Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation. Trends in Ecology & Evolution. 2020; 35 (10):908-918.

Chicago/Turabian Style

Nianpeng He; Ying Li; Congcong Liu; Li Xu; Mingxu Li; Jiahui Zhang; Jinsheng He; Zhiyao Tang; Xingguo Han; Qing Ye; Chunwang Xiao; Qiang Yu; Shirong Liu; Wei Sun; Shuli Niu; Shenggong Li; Lawren Sack; Guirui Yu. 2020. "Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation." Trends in Ecology & Evolution 35, no. 10: 908-918.

Review
Published: 25 June 2020
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ACS Style

Nianpeng He; Ying Li; Congcong Liu; Li Xu; Mingxu Li; Jiahui Zhang; Jinsheng He; Zhiyao Tang; Xingguo Han; Qing Ye; Chunwang Xiao; Qiang Yu; Shirong Liu; Wei Sun; Shuli Niu; Shenggong Li; Lawren Sack; Guirui Yu. Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation. 2020, 1 .

AMA Style

Nianpeng He, Ying Li, Congcong Liu, Li Xu, Mingxu Li, Jiahui Zhang, Jinsheng He, Zhiyao Tang, Xingguo Han, Qing Ye, Chunwang Xiao, Qiang Yu, Shirong Liu, Wei Sun, Shuli Niu, Shenggong Li, Lawren Sack, Guirui Yu. Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation. . 2020; ():1.

Chicago/Turabian Style

Nianpeng He; Ying Li; Congcong Liu; Li Xu; Mingxu Li; Jiahui Zhang; Jinsheng He; Zhiyao Tang; Xingguo Han; Qing Ye; Chunwang Xiao; Qiang Yu; Shirong Liu; Wei Sun; Shuli Niu; Shenggong Li; Lawren Sack; Guirui Yu. 2020. "Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation." , no. : 1.

Journal article
Published: 15 June 2020 in Science of The Total Environment
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Elucidating aboveground net primary production (ANPP) and precipitation-use efficiency (PUE) spatial variations and mechanisms are essential for predicting how ecosystem functioning will respond to future climate change. However, a comprehensive recognition of spatial patterns of ANPP and PUE across continental scale is still lacking. Here, we integrated long-term GIMMS NDVI remote sensing, field survey ANPP and meteorological datasets to reveal the spatial variations and controls of ANPP and PUE across Eurasian grasslands for the first time. The results showed that the mean value of ANPP and PUE of Eurasian grasslands were 40.20 ± 0.40 g C m−2 yr−1 and 0.15 ± 0.01 g C m−2 mm−1, respectively. At the continental scale, the ANPP and PUE showed unimodal patterns along mean annual precipitation (MAP) and hydrothermal index (HT) gradients, while a piecewise linear pattern along mean annual temperature (MAT) gradients. The MAP exerted positive effect on the ANPP in desert and temperate grasslands, while negative effect on the ANPP in alpine grasslands. Conversely, the MAT negatively affected the ANPP in desert and temperate grasslands, while positively affected the ANPP in alpine grasslands. The results indicated that the hydrothermal conditions coupled with the transition of vegetation types and its different responses combinedly shaped the spatial patterns of ANPP and PUE in Eurasian grasslands. This study advanced our knowledge of the spatial variations of ANPP and PUE at continental scale, providing theoretical information for predicting productivity and water use changes of arid and semi-arid grasslands under climate change in the future.

ACS Style

Tianyou Zhang; Guirui Yu; Zhi Chen; Zhongmin Hu; Cuicui Jiao; Meng Yang; Zheng Fu; Weikang Zhang; Lang Han; Manman Fan; Ruiyang Zhang; Zhongyi Sun; Yanni Gao; Wenhua Li. Patterns and controls of vegetation productivity and precipitation-use efficiency across Eurasian grasslands. Science of The Total Environment 2020, 741, 140204 .

AMA Style

Tianyou Zhang, Guirui Yu, Zhi Chen, Zhongmin Hu, Cuicui Jiao, Meng Yang, Zheng Fu, Weikang Zhang, Lang Han, Manman Fan, Ruiyang Zhang, Zhongyi Sun, Yanni Gao, Wenhua Li. Patterns and controls of vegetation productivity and precipitation-use efficiency across Eurasian grasslands. Science of The Total Environment. 2020; 741 ():140204.

Chicago/Turabian Style

Tianyou Zhang; Guirui Yu; Zhi Chen; Zhongmin Hu; Cuicui Jiao; Meng Yang; Zheng Fu; Weikang Zhang; Lang Han; Manman Fan; Ruiyang Zhang; Zhongyi Sun; Yanni Gao; Wenhua Li. 2020. "Patterns and controls of vegetation productivity and precipitation-use efficiency across Eurasian grasslands." Science of The Total Environment 741, no. : 140204.

Review
Published: 24 April 2020 in Science China Earth Sciences
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From a molecular level to an ecosystem scale, different coupling mechanisms take place during coupled carbon-nitrogen-water (C-N-H2O) cycles, of which essential are water flux and related biogeochemical processes through physicochemical reactions associated with terrestrial and aquatic ecosystems. Meanwhile, regional coupled C-N-H2O cycle will subsequently impact regional gross primary productivity (GPP) and C and N exchanges during air-water interactions that occur downstream of watersheds. This study aimed to first synthetically analyze the regional dynamics of C, N and H2O cycles in ecosystems and determine their interactional relationships; second, to specify regional C-N-H2O coupled relationships of ecosystems and their theoretical ecological principles; third, to classify coupled regional response and adaptation of the C-N-H2O cycle to climatic and environmental changes under anthropogenic activities, providing a theoretical basis to fully understand and make adjustments to interactional C, N and H2O cycling relationships at different ecosystem scales and under associated coupling processes.

ACS Style

Yang Gao; Gui-Rui Yu. Regional coupled C-N-H2O cycle processes and associated driving mechanisms. Science China Earth Sciences 2020, 63, 1227 -1236.

AMA Style

Yang Gao, Gui-Rui Yu. Regional coupled C-N-H2O cycle processes and associated driving mechanisms. Science China Earth Sciences. 2020; 63 (9):1227-1236.

Chicago/Turabian Style

Yang Gao; Gui-Rui Yu. 2020. "Regional coupled C-N-H2O cycle processes and associated driving mechanisms." Science China Earth Sciences 63, no. 9: 1227-1236.

Journal article
Published: 25 March 2020 in Global and Planetary Change
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Seasonal changes in CO2 exchange determine the strength and dynamics of the carbon budget in terrestrial ecosystems. Knowledge about seasonal and spatial variations in carbon fluxes (net ecosystem productivity (NEP), gross primary productivity (GPP), and ecosystem respiration (RE)) is thus essential to support accurate modeling of carbon flux dynamics. To the best of our knowledge, this study represents the first comprehensive evaluation of how carbon fluxes vary seasonally in different ecoregions in China. Using eddy covariance measurements from ChinaFLUX, we analyzed the spatial variations and climate controls of the phenological and physiological properties of NEP, GPP, and RE across China. Apart from the beginning and ending day of NEP (net carbon uptake), the phenological properties of the carbon fluxes varied significantly with latitude; however, there were no evident trends in the physiological properties of the carbon fluxes with latitude (apart from the annual values of GPP and RE, known as AGPP and ARE). The spatial variation in the physiological properties of GPP and RE was influenced by the precipitation patterns, while the spatial distribution of the phenological properties of GPP and RE was related to air temperature. Moreover, the spatial variation for the end of the growing season changed with the autumn mean soil temperatures. The factors that contributed to the spatial distribution in the annual NEP (ANEP) and annual GPP and RE (AGPP and ARE) were quite different. The mean daily GPP and RE were the main contributors to the spatial variations in AGPP and ARE, while the net carbon uptake period was the main contributor to the spatial variation in ANEP. In this study, we identified a series of ecological parameters and reference values for seasonal patterns that can be used to validate models that simulate changes in regional carbon fluxes.

ACS Style

Lang Han; Qiu-Feng Wang; Zhi Chen; Gui-Rui Yu; Guang-Sheng Zhou; Shi-Ping Chen; Ying-Nian Li; Yi-Ping Zhang; Jun-Hua Yan; Hui-Min Wang; Shi-Jie Han; Yan-Fen Wang; Li-Qing Sha; Pei-Li Shi; Yang-Jian Zhang; Wen-Hua Xiang; Liang Zhao; Qiu-Liang Zhang; Qi-Hua He; Xing-Guo Mo; Ji-Xun Guo. Spatial patterns and climate controls of seasonal variations in carbon fluxes in China's terrestrial ecosystems. Global and Planetary Change 2020, 189, 103175 .

AMA Style

Lang Han, Qiu-Feng Wang, Zhi Chen, Gui-Rui Yu, Guang-Sheng Zhou, Shi-Ping Chen, Ying-Nian Li, Yi-Ping Zhang, Jun-Hua Yan, Hui-Min Wang, Shi-Jie Han, Yan-Fen Wang, Li-Qing Sha, Pei-Li Shi, Yang-Jian Zhang, Wen-Hua Xiang, Liang Zhao, Qiu-Liang Zhang, Qi-Hua He, Xing-Guo Mo, Ji-Xun Guo. Spatial patterns and climate controls of seasonal variations in carbon fluxes in China's terrestrial ecosystems. Global and Planetary Change. 2020; 189 ():103175.

Chicago/Turabian Style

Lang Han; Qiu-Feng Wang; Zhi Chen; Gui-Rui Yu; Guang-Sheng Zhou; Shi-Ping Chen; Ying-Nian Li; Yi-Ping Zhang; Jun-Hua Yan; Hui-Min Wang; Shi-Jie Han; Yan-Fen Wang; Li-Qing Sha; Pei-Li Shi; Yang-Jian Zhang; Wen-Hua Xiang; Liang Zhao; Qiu-Liang Zhang; Qi-Hua He; Xing-Guo Mo; Ji-Xun Guo. 2020. "Spatial patterns and climate controls of seasonal variations in carbon fluxes in China's terrestrial ecosystems." Global and Planetary Change 189, no. : 103175.

Primary research article
Published: 24 December 2019 in Global Change Biology
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Carbon (C) and nitrogen (N) are the primary elements involved in the growth and development of plants. The C:N ratio is an indicator of nitrogen use efficiency (NUE) and an input parameter for some ecological and ecosystem models. However, knowledge remains limited about the convergent or divergent variation in the C:N ratios among different plant organs (e.g., leaf, branch, trunk, and root) and how evolution and environment affect the coefficient shifts. Using systematic measurements of the leaf–branch–trunk–root of 2,139 species from tropical to cold‐temperate forests, we comprehensively evaluated variation in C:N ratio in different organs in different taxa and forest types. The ratios showed convergence in the direction of change but divergence in the rate of change. Plants evolved toward lower C:N ratios in the leaf and branch, with N playing a more important role than C. The C:N ratio of plant organs (except for the leaf) was constrained by phylogeny, but not strongly. Both the change of C:N during evolution and its spatial variation (lower C:N ratio at midlatitudes) help develop the adaptive growth hypothesis. That is, plants with a higher C:N ratio promote NUE under strong N‐limited conditions to ensure survival priority, whereas plants with a lower C:N ratio under less N‐limited environments benefit growth priority. In nature, larger proportion of species with a high C:N ratio enabled communities to inhabit more N‐limited conditions. Our results provide new insights on the evolution and drivers of C:N ratio among different plant organs, as well as provide a quantitative basis to optimize land surface process models.

ACS Style

Jiahui Zhang; Nianpeng He; Congcong Liu; Li Xu; Zhi Chen; Ying Li; Ruomeng Wang; Guirui Yu; Wei Sun; Chunwang Xiao; Han Y. H. Chen; Peter B. Reich. Variation and evolution of C:N ratio among different organs enable plants to adapt to N‐limited environments. Global Change Biology 2019, 26, 2534 -2543.

AMA Style

Jiahui Zhang, Nianpeng He, Congcong Liu, Li Xu, Zhi Chen, Ying Li, Ruomeng Wang, Guirui Yu, Wei Sun, Chunwang Xiao, Han Y. H. Chen, Peter B. Reich. Variation and evolution of C:N ratio among different organs enable plants to adapt to N‐limited environments. Global Change Biology. 2019; 26 (4):2534-2543.

Chicago/Turabian Style

Jiahui Zhang; Nianpeng He; Congcong Liu; Li Xu; Zhi Chen; Ying Li; Ruomeng Wang; Guirui Yu; Wei Sun; Chunwang Xiao; Han Y. H. Chen; Peter B. Reich. 2019. "Variation and evolution of C:N ratio among different organs enable plants to adapt to N‐limited environments." Global Change Biology 26, no. 4: 2534-2543.

Journal article
Published: 20 December 2019 in Scientific Reports
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Carbon use efficiency (CUE), one of the most important eco-physiological parameters, represents the capacity of plants to transform carbon into new biomass. Understanding the variations and controls of CUE is crucial for regional carbon assessment. Here, we used 15-years of continuous remote sensing data to examine the variations of CUE across broad geographic and climatic gradients in China. The results showed that the vegetation CUE was averaged to 0.54 ± 0.11 with minor interannual variation. However, the CUE greatly varied with geographic gradients and ecosystem types. Forests have a lower CUE than grasslands and croplands. Evergreen needleleaf forests have a higher CUE than other forest types. Climate factors (mean annual temperature (MAT), precipitation (MAP) and the index of water availability (IWA)) dominantly regulated the spatial variations of CUE. The CUE exhibited a linear decrease with enhanced MAT and MAP and a parabolic response to the IWA. Furthermore, the responses of CUE to environmental change varied with individual ecosystem type. In contrast, precipitation exerted strong control on CUE in grassland, while in forest and cropland, the CUE was mainly controlled by the available water. This study identifies the variations and response of CUE to environmental drivers in China, which will be valuable for the regional assessment of carbon cycling dynamics under future climate change.

ACS Style

Zhi Chen; Guirui Yu. Spatial variations and controls of carbon use efficiency in China’s terrestrial ecosystems. Scientific Reports 2019, 9, 1 -10.

AMA Style

Zhi Chen, Guirui Yu. Spatial variations and controls of carbon use efficiency in China’s terrestrial ecosystems. Scientific Reports. 2019; 9 (1):1-10.

Chicago/Turabian Style

Zhi Chen; Guirui Yu. 2019. "Spatial variations and controls of carbon use efficiency in China’s terrestrial ecosystems." Scientific Reports 9, no. 1: 1-10.

Review article
Published: 17 December 2019 in Environmental Pollution
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Nitrogen (N) deposition in China may increase due to urbanization and economic growth. Current research has considered the ecological significance under the assumption of increasing N deposition. Atmospheric N deposition tending toward levelling or declining has been observed in China. Such potential recovery and responses of high N loads ecosystems under decreasing atmospheric N deposition scenarios have yet to be adequately investigated. This work reviews existing literature to consider possible responses of carbon (C) sequestration, biodiversity and species composition, soil acidification, and greenhouse emissions in ecosystems responding to recent patterns of N deposition. Potential effects of N composition and internal ratios may be further explored through state-of-the-art N addition experiments and model development.

ACS Style

Jianxing Zhu; Zhi Chen; Qiufeng Wang; Li Xu; Niangpeng He; Yanlong Jia; Qiongyu Zhang; Guirui Yu. Potential transition in the effects of atmospheric nitrogen deposition in China. Environmental Pollution 2019, 258, 113739 .

AMA Style

Jianxing Zhu, Zhi Chen, Qiufeng Wang, Li Xu, Niangpeng He, Yanlong Jia, Qiongyu Zhang, Guirui Yu. Potential transition in the effects of atmospheric nitrogen deposition in China. Environmental Pollution. 2019; 258 ():113739.

Chicago/Turabian Style

Jianxing Zhu; Zhi Chen; Qiufeng Wang; Li Xu; Niangpeng He; Yanlong Jia; Qiongyu Zhang; Guirui Yu. 2019. "Potential transition in the effects of atmospheric nitrogen deposition in China." Environmental Pollution 258, no. : 113739.

Journal article
Published: 16 October 2019 in Atmosphere
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Measurements of greenhouse gas fluxes over many ecosystems have been made as part of the attempt to quantify global carbon and nitrogen cycles. In particular, annual flux observations are of great value for regional flux assessments, as well as model development and optimization. The chamber method is a popular approach for soil/ecosystem respiration and CH4 flux observations of terrestrial ecosystems. However, in situ flux chamber measurements are usually made with non-continuous sampling. To date, efficient methods for the application of such sporadic data to upscale temporally and obtain annual cumulative fluxes have not yet been determined. To address this issue, we tested the adequacy of non-continuous sampling using multi-source data aggregation. We collected 330 site-years monthly soil/ecosystem respiration and 154 site-years monthly CH4 flux data in China, all obtained using the chamber method. The data were randomly divided into a training group and verification group. Fluxes of all possible sampling months of a year, i.e., 4094 different month combinations were used to obtain the annual cumulative flux. The results showed a good linear relationship between the monthly flux and the annual cumulative flux. The flux obtained during the warm season from May to October generally played a more important role in annual flux estimations, as compared to other months. An independent verification analysis showed that the monthly flux of 1 to 4 months explained up to 67%, 89%, 94%, and 97% of the variability of the annual cumulative soil/ecosystem respiration and 92%, 99%, 99%, and 99% of the variability of the annual cumulative CH4 flux. This study supports the use of chamber-observed sporadic flux data, which remains the most commonly-used method for annual flux estimating. The flux estimation method used in this study can be used as a guide for designing sampling programs with the intention of estimating the annual cumulative flux.

ACS Style

Meng Yang; Guirui Yu; Nianpeng He; John Grace; Qiufeng Wang; Yan Zhou. A Method for Estimating Annual Cumulative Soil/Ecosystem Respiration and CH4 Flux from Sporadic Data Collected Using the Chamber Method. Atmosphere 2019, 10, 623 .

AMA Style

Meng Yang, Guirui Yu, Nianpeng He, John Grace, Qiufeng Wang, Yan Zhou. A Method for Estimating Annual Cumulative Soil/Ecosystem Respiration and CH4 Flux from Sporadic Data Collected Using the Chamber Method. Atmosphere. 2019; 10 (10):623.

Chicago/Turabian Style

Meng Yang; Guirui Yu; Nianpeng He; John Grace; Qiufeng Wang; Yan Zhou. 2019. "A Method for Estimating Annual Cumulative Soil/Ecosystem Respiration and CH4 Flux from Sporadic Data Collected Using the Chamber Method." Atmosphere 10, no. 10: 623.

Journal article
Published: 15 October 2019 in Agricultural and Forest Meteorology
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The seasonal dynamic of gross primary productivity (GPP) has influences on the annual GPP (AGPP) of the terrestrial ecosystem. However, the spatiotemporal variation of the seasonal dynamic of GPP and its effects on spatial and temporal variations of AGPP are still poorly addressed. In this study, we developed a parameter, αGPP, defined as the ratio of mean daily GPP (GPPmean) to the maximum daily GPP (GPPmax) during the growing season, to analyze the seasonal dynamic of GPP based on Weibull function. The αGPP was a comprehensive parameter characterizing the shape, scale, and location of the seasonal dynamic curve of GPP. We calculated αGPP based on the data of GPP for 942 site-years from 115 flux sites in the Northern Hemisphere, and analyzed the spatiotemporal variation and influencing factors of the αGPP. We found that the αGPP of terrestrial ecosystems in the Northern Hemisphere ranged from 0.47 to 0.85, with an average of 0.62 ± 0.06. The αGPP varied significantly both among different climatic zones and different ecosystem types. The αGPP was stable on the interannual scale, while decreased as latitude increased, which was consistent across different ecosystem types. The spatial pattern of the seasonal dynamic of astronomical radiation was the dominating factor of the spatial pattern of αGPP, that was, the spatial pattern of the seasonal dynamic of astronomical radiation determined that of the seasonal dynamic of GPP by controlling that of seasonal dynamics of total radiation and temperature. In addition, we assessed the spatial variation of AGPP preliminarily based on αGPP and other seasonal dynamic parameters of GPP, indicating that the understanding of the spatiotemporal variation of αGPP could provide a new approach for studying the spatial and temporal variations of AGPP and estimating AGPP based on the seasonal dynamic of GPP.

ACS Style

Weikang Zhang; Guirui Yu; Zhi Chen; Leiming Zhang; Qiufeng Wang; Yangjian Zhang; Honglin He; Lang Han; Shiping Chen; Shijie Han; Yingnian Li; Liqing Sha; Peili Shi; Huimin Wang; Yanfen Wang; Wenhua Xiang; Junhua Yan; Yiping Zhang; Donatella Zona; M. Altaf Arain; Trofim Maximov; Walter Oechel; Yoshiko Kosugi. Attribute parameter characterized the seasonal variation of gross primary productivity (αGPP): Spatiotemporal variation and influencing factors. Agricultural and Forest Meteorology 2019, 280, 107774 .

AMA Style

Weikang Zhang, Guirui Yu, Zhi Chen, Leiming Zhang, Qiufeng Wang, Yangjian Zhang, Honglin He, Lang Han, Shiping Chen, Shijie Han, Yingnian Li, Liqing Sha, Peili Shi, Huimin Wang, Yanfen Wang, Wenhua Xiang, Junhua Yan, Yiping Zhang, Donatella Zona, M. Altaf Arain, Trofim Maximov, Walter Oechel, Yoshiko Kosugi. Attribute parameter characterized the seasonal variation of gross primary productivity (αGPP): Spatiotemporal variation and influencing factors. Agricultural and Forest Meteorology. 2019; 280 ():107774.

Chicago/Turabian Style

Weikang Zhang; Guirui Yu; Zhi Chen; Leiming Zhang; Qiufeng Wang; Yangjian Zhang; Honglin He; Lang Han; Shiping Chen; Shijie Han; Yingnian Li; Liqing Sha; Peili Shi; Huimin Wang; Yanfen Wang; Wenhua Xiang; Junhua Yan; Yiping Zhang; Donatella Zona; M. Altaf Arain; Trofim Maximov; Walter Oechel; Yoshiko Kosugi. 2019. "Attribute parameter characterized the seasonal variation of gross primary productivity (αGPP): Spatiotemporal variation and influencing factors." Agricultural and Forest Meteorology 280, no. : 107774.