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Gao X, Sun S, Meng P, Cai J, Pei S, Huang H, Zhang J. Carbon fluxes and water-use efficiency in a Pinus tabuliformis plantation in Northeast China and their relationship to drought. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174258. [PMID: 38925374 DOI: 10.1016/j.scitotenv.2024.174258] [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: 03/11/2024] [Revised: 06/13/2024] [Accepted: 06/22/2024] [Indexed: 06/28/2024]
Abstract
The impact of extreme weather events on carbon fluxes and water-use efficiency (WUE) in revegetated areas under water-limited conditions is poorly understood. We analyzed changes in carbon fluxes and WUE over three years of eddy-covariance measurements in a Pinus tabuliformis plantation in Northeast China to investigate carbon fluxes and WUE responses to drought events at different time scales. Mean annual net ecosystem exchange (NEE), gross primary production (GPP), and ecosystem respiration (Re) were -368.48, 1042.42, and 673.94 g C m-2, respectively. Drought events increased NEE, as GPP was more sensitive to water stress than Re at different growing stages. Mean annual WUE was 2.46 g C kg-1 H2O, and plant phenology played a key role in WUE responses to drought. Water stress had negative and positive effects on daily WUE at the early and late growing stages, respectively, and daily WUE was generally insensitive to drought at the mid growing stage. A lagged effect existed in the carbon fluxes and WUE dynamics after drought events at various time scales. Water stress at the early growing stage was more important than that at other growing stages on annual carbon sequestration and WUE, as it dominated canopy growth in the current year. The annual mean normalized difference vegetation index controlled interannual variations in carbon fluxes and WUE in the plantation. Our findings contribute to the prediction of possible changes in carbon and water fluxes under climate warming in the afforested areas of Northeast China.
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Affiliation(s)
- Xiang Gao
- Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China; Co-innovation Center of Sustainable Forestry in Southern China, Nanjing Forest University, 210037 Nanjing, Jiangsu, China; Henan Xiaolangdi Forest Ecosystem National Observation and Research Station, 454650 Jiyuan, Henan, China.
| | - Shoujia Sun
- Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China; Co-innovation Center of Sustainable Forestry in Southern China, Nanjing Forest University, 210037 Nanjing, Jiangsu, China; Henan Xiaolangdi Forest Ecosystem National Observation and Research Station, 454650 Jiyuan, Henan, China.
| | - Ping Meng
- Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China; Co-innovation Center of Sustainable Forestry in Southern China, Nanjing Forest University, 210037 Nanjing, Jiangsu, China; Henan Xiaolangdi Forest Ecosystem National Observation and Research Station, 454650 Jiyuan, Henan, China.
| | - Jinfeng Cai
- Co-innovation Center of Sustainable Forestry in Southern China, Nanjing Forest University, 210037 Nanjing, Jiangsu, China
| | - Songyi Pei
- State-owned Jianping County Heishui Mechanized Forest Farm, 122000 Chaoyang, Liaoning, China
| | - Hui Huang
- Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China; Co-innovation Center of Sustainable Forestry in Southern China, Nanjing Forest University, 210037 Nanjing, Jiangsu, China; Henan Xiaolangdi Forest Ecosystem National Observation and Research Station, 454650 Jiyuan, Henan, China.
| | - Jinsong Zhang
- Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, 100091 Beijing, China; Co-innovation Center of Sustainable Forestry in Southern China, Nanjing Forest University, 210037 Nanjing, Jiangsu, China; Henan Xiaolangdi Forest Ecosystem National Observation and Research Station, 454650 Jiyuan, Henan, China.
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Liu Z, Zhao B, Yan H, Su J. Energy Partitioning and Latent Heat Flux Driving Factors of the CAM Plant Pineapple ( Ananas comosus (L.) Merril) Grown in the South Subtropical China. PLANTS (BASEL, SWITZERLAND) 2023; 13:21. [PMID: 38202329 PMCID: PMC10781175 DOI: 10.3390/plants13010021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/06/2023] [Accepted: 12/19/2023] [Indexed: 01/12/2024]
Abstract
Elucidation of different vegetation energy partitioning and environmental control factors at the agro-ecosystem levels is critical for better understanding and scientific management of farmland. Pineapple (Ananas comosus (L.) Merril) is a tropical plant widely cultivated in the southern subtropical region of China; however, the energy partitioning of crassulacean acid metabolism (CAM) plants like pineapple and their interactions with the environment remain not well understood. In this study, we investigated the energy partitioning patterns of pineapple fields and latent heat flux (LET) response to environmental factors using the Bowen ratio energy balance system and meteorological observation field data. The results showed that the CAM plant pineapple energy partitioning was significantly different from the common C3 and C4 crops during the study period, which was mainly attributed to the complex interactions between CAM plant transpiration and the environment. Specifically, sensible heat flux was the main component of net radiation (Rn), followed by the LET, accounting for 65.0% and 30.8% of the Rn, respectively. Soil heat flux accounts for a very small fraction (4.2%). The mean values of the Bowen ratio were 2.09 and 1.41 for sunny and cloudy days during the daytime and 0.74 and 0.46 at night, respectively. LET is a key factor in responding to crop growth status and agricultural water management, and the path analysis indicates that its variation is mainly influenced directly by Rn with a direct path coefficient of 0.94 on sunny days, followed by vapor pressure deficit, air temperature and relative humidity, which indirectly affect LET through the Rn pathway, whereas soil moisture and wind speed have a low effect on LET. On cloudy days, the effect of Rn on LET was overwhelmingly dominant, with a direct path coefficient of 0.91. The direct path coefficients of the remaining factors on LET were very small and negative. Overall, this study is an important reference for enhancing the impact of pineapple as well as CAM plants on the surface energy balance and regional climate.
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Affiliation(s)
- Zhigang Liu
- South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524091, China; (Z.L.); (B.Z.)
- Long’an Yangpu Agricultural Technology Co., Ltd., Nanning 532704, China
| | - Baoshan Zhao
- South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524091, China; (Z.L.); (B.Z.)
- Zhanjiang Experimental Station, Chinese Academy of Tropical Agricultural Sciences, Guangdong Engineering Technology Research Center for Dryland and Water Saving Agriculture, Zhanjiang Experimental and Observation Station for National Long-Term Agricultural Green Development, Zhanjiang 524091, China
| | - Haofang Yan
- Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China;
| | - Junbo Su
- South Subtropical Crops Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang 524091, China; (Z.L.); (B.Z.)
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