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Bai Y, Zhao P, Chen X, Wang L, Chang W, Guo J, Wang J. Benefit of aerosol reduction to winter wheat during China's clean air action: A case study of Henan Province. J Environ Sci (China) 2024; 141:90-101. [PMID: 38408836 DOI: 10.1016/j.jes.2023.07.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 07/18/2023] [Accepted: 07/19/2023] [Indexed: 02/28/2024]
Abstract
A strongly declining aerosol radiative effect has been observed in China since 2013 after implementing the clean air action, yet its impact on wheat (Triticum aestivum L.) production remains unclear. We use satellite measures and a biophysical crop model to assess the impact of aerosol-induced radiative perturbations on winter wheat production in the agricultural belt of Henan province from 2013 to 2018. After calibrating parameters with the extended Fourier Amplitude Sensitivity Test (EFAST) and the generalized likelihood uncertainty estimation (GLUE) method, the DSSAT CERES-Wheat model was able to simulate crop biomass and yield more accurately. We found that the aerosol negatively impacted wheat biomass by 21.87% and yield by 22.48% from 2006 to 2018, and the biomass effects from planting to anthesis were more significant compared to anthesis to maturity. Due to the strict clean air action, under all-sky conditions, the surface solar shortwave radiation (SSR) in 2018 increased by about 7.08% over 2006-2013 during the wheat growing seasons. As a result of the improvement of crop photosynthesis, winter wheat biomass and yield increased by an average of 5.46% and 2.9%, respectively. Our findings show that crop carbon uptake and yield will benefit from the clean air action in China, helping to ensure national food and health security.
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Affiliation(s)
- Yang Bai
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou 475000, China; Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475000, China
| | - Pengfei Zhao
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou 475000, China
| | - Xueyang Chen
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou 475000, China
| | - Lijun Wang
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou 475000, China; Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475000, China.
| | - Wenjuan Chang
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou 475000, China
| | - Jianzhong Guo
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou 475000, China; Henan Technology Innovation Center of Spatio-Temporal Big Data, Henan University, Zhengzhou 450046, China.
| | - Jiayao Wang
- College of Geography and Environmental Science, Henan University, Kaifeng 475004, China; Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou 475000, China; Henan Technology Innovation Center of Spatio-Temporal Big Data, Henan University, Zhengzhou 450046, China
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Wang B, Wang Z, Wang C, Wang X, Jia Z, Liu L. Elevated aerosol enhances plant water-use efficiency by increasing carbon uptake while reducing water loss. THE NEW PHYTOLOGIST 2024; 243:567-579. [PMID: 38812270 DOI: 10.1111/nph.19877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 05/12/2024] [Indexed: 05/31/2024]
Abstract
Aerosols could significantly influence ecosystem carbon and water fluxes, potentially altering their interconnected dynamics, typically characterized by water-use efficiency (WUE). However, our understanding of the underlying ecophysiological mechanisms remains limited due to insufficient field observations. We conducted 4-yr measurements of leaf photosynthesis and transpiration, as well as 3-yr measurements of stem growth (SG) and sap flow of poplar trees exposed to natural aerosol fluctuation, to elucidate aerosol's impact on plant WUE. We found that aerosol improved sun leaf WUE mainly because a sharp decline in photosynthetically active radiation (PAR) inhibited its transpiration, while photosynthesis was less affected, as the negative effect induced by declined PAR was offset by the positive effect induced by low leaf vapor pressure deficit (VPDleaf). Conversely, diffuse radiation fertilization (DRF) effect stimulated shade leaf photosynthesis with minimal impact on transpiration, leading to an improved WUE. The responses were further verified by a strong DRF on SG and a decrease in sap flow due to the suppresses in total radiation and VPD. Our field observations indicate that, contrary to the commonly assumed coupling response, carbon uptake and water use exhibited dissimilar reactions to aerosol pollution, ultimately enhancing WUE at the leaf and canopy level.
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Affiliation(s)
- Bin Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, China
- University of Chinese Academy of Sciences, Yuquan Road, Beijing, 100049, China
| | - Zhenhua Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Yuquan Road, Beijing, 100049, China
- The Engineering Technology Research Center of Characteristic Medicinal Plants of Fujian, School of Life Sciences, Ningde Normal University, Ningde, 352101, China
| | - Chengzhang Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Yuquan Road, Beijing, 100049, China
| | - Xin Wang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- China National Botanical Garden, Beijing, 100093, China
| | - Zhou Jia
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Yuquan Road, Beijing, 100049, China
| | - Lingli Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Yuquan Road, Beijing, 100049, China
- China National Botanical Garden, Beijing, 100093, China
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Wei D, Tao J, Wang Z, Zhao H, Zhao W, Wang X. Elevation-dependent pattern of net CO 2 uptake across China. Nat Commun 2024; 15:2489. [PMID: 38509103 PMCID: PMC10954722 DOI: 10.1038/s41467-024-46930-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 03/14/2024] [Indexed: 03/22/2024] Open
Abstract
The elevation gradient has long been known to be vital in shaping the structure and function of terrestrial ecosystems, but little is known about the elevation-dependent pattern of net CO2 uptake, denoted by net ecosystem productivity (NEP). Here, by analyzing data from 203 eddy covariance sites across China, we report a negative linear elevation-dependent pattern of NEP, collectively shaped by varying hydrothermal factors, nutrient supply, and ecosystem types. Furthermore, the NEP shows a higher temperature sensitivity in high-elevation environments (3000-5000 m) compared with the lower-elevation environments (<3000 m). Model ensemble and satellite-based observations consistently reveal more rapid relative changes in NEP in high-elevation environments during the last four decades. Machine learning also predicts a stronger relative increase in high-elevation environments, whereas less change is expected at lower elevations. We therefore conclude a varying elevation-dependent pattern of the NEP of terrestrial ecosystems in China, although there is significant uncertainty involved.
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Affiliation(s)
- Da Wei
- State Key Laboratory of Mountain Hazards and Engineering Safety, Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Jing Tao
- State Key Laboratory of Mountain Hazards and Engineering Safety, Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Zhuangzhuang Wang
- State Key Laboratory of Mountain Hazards and Engineering Safety, Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Hui Zhao
- State Key Laboratory of Mountain Hazards and Engineering Safety, Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China
| | - Wei Zhao
- State Key Laboratory of Mountain Hazards and Engineering Safety, Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China
| | - Xiaodan Wang
- State Key Laboratory of Mountain Hazards and Engineering Safety, Key Laboratory of Mountain Surface Processes and Ecological Regulation, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China.
- Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
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Zhao P, Bai Y, Zhang Z, Wang L, Guo J, Wang J. Differences in diffuse photosynthetically active radiation effects on cropland light use efficiency calculated via contemporary remote sensing and crop production models. ECOL INFORM 2023. [DOI: 10.1016/j.ecoinf.2022.101948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Niu X, Chen Z, Pang Y, Liu X, Liu S. Soil moisture shapes the environmental control mechanism on canopy conductance in a natural oak forest. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159363. [PMID: 36240914 DOI: 10.1016/j.scitotenv.2022.159363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 10/04/2022] [Accepted: 10/07/2022] [Indexed: 06/16/2023]
Abstract
Canopy conductance (gc) is an important biophysical parameter closely related to ecosystem energy partitioning and carbon sequestration, which can be used to judge drought effect on forest ecosystems. It is very important to explore how soil moisture change affects the environmental control mechanism of gc, especially in natural oak forests in Central China where frequent extreme precipitation (P) and drought will occur in a context of climate change. In this study, variations of gc and its environmental control mechanisms in a warm-temperate forest over three consecutive years under different hydroclimatic conditions were examined by using eddy-covariance technique. Results showed that the averaged gc in the three growing seasons were 11.2, 11.3 and 7.8 mms-1, respectively, with a CV of 19.7 %. The lowest gc occurred in the year with the lowest P. Using three years of data, we found that vapor pressure deficit (VPD) exhibited the dominate effect on gc, both diffuse photosynthetically active radiation (PARdif) and air temperature (Ta) were positively correlated with gc. When relative extractable water content (REW) was larger than 0.4, however, inhibiting effect of high VPD on gc disappeared and the effect of direct photosynthetically active radiation (PARdir) on gc was larger compared to PARdif. When REW was <0.1, the positive relationship between Ta and gc became negative. Our results indicated that soil moisture ultimately shapes the environmental control mechanism of gc in a natural oak forest.
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Affiliation(s)
- Xiaodong Niu
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China; Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
| | - Zhicheng Chen
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China
| | - Yong Pang
- Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
| | - Xiaojing Liu
- Baotianman National Nature Reserve Administrative Bureau, Nanyang 474350, Henan, China
| | - Shirong Liu
- Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China.
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