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Zhang J. Spatial variability of CH 4 uptake in aerated soils of Yellow River Delta. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175596. [PMID: 39155000 DOI: 10.1016/j.scitotenv.2024.175596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 08/03/2024] [Accepted: 08/15/2024] [Indexed: 08/20/2024]
Abstract
The widespread occurrence of aerated plain soils underscores their significant role in the global soil methane (CH4) sink budget. However, plain soils are poorly characterized in terms of spatial variability of CH4 uptake and the relevant control. We investigated the intra- and inter-site spatial variability of CH4 uptake through flux measurements in intact soil cores from five non-wetland sites within the Yellow River Delta, each representing a distinct land use/cover type. Methane uptake rates were highest in undisturbed forest cores. The rates were very low, often falling below the detection limit, in cores from the other four sites. The significant correlation between CH4 uptake and bulk density across sites suggests the integrative role of bulk density for the effects of different disturbances (including salt stress and succession) on CH4 uptake. Methane uptake was heterogeneous at the within-site scale as indicated by large coefficients of variations (CVs). Soil texture variation manipulated the within-site pattern of CH4 uptake in the low-salinity sites. Salt affected the spatial variation of CH4 uptake only at high level of salinity. Neither Potter's nor Ridgwell's models effectively captured the within-site variation of CH4 uptake due to a texture-associated bias in the models. Establishing a quantitative relationship between CH4 uptake and clay content at the field scale in alluvial plain soils will facilitate the refinement of model parameters linked to texture and rectify biases in CH4 estimation. These results provide an insight for the biogeochemical control of CH4 uptake in alluvial plain soils and have important application for improving CH4 models.
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Affiliation(s)
- Jinfeng Zhang
- School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, Guangdong, China.
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Zhang L, Lin W, Sardans J, Li X, Hui D, Yang Z, Wang H, Lin H, Wang Y, Guo J, Peñuelas J, Yang Y. Soil warming-induced reduction in water content enhanced methane uptake at different soil depths in a subtropical forest. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:171994. [PMID: 38561130 DOI: 10.1016/j.scitotenv.2024.171994] [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: 12/12/2023] [Revised: 02/05/2024] [Accepted: 03/24/2024] [Indexed: 04/04/2024]
Abstract
Global warming can significantly impact soil CH4 uptake in subtropical forests due to changes in soil moisture, temperature sensitivity of methane-oxidizing bacteria (MOB), and shifts in microbial communities. However, the specific effects of climate warming and the underlying mechanisms on soil CH4 uptake at different soil depths remain poorly understood. To address this knowledge gap, we conducted a soil warming experiment (+4 °C) in a natural forest. From August 2020 to October 2021, we measured soil temperature, soil moisture, and CH4 uptake rates at four different soil depths: 0-10 cm, 10-20 cm, 20-40 cm, and 40-60 cm. Additionally, we assessed the soil MOB community structure and pmoA gene (with qPCR) at the 0-10 and 10-20 cm depths. Our findings revealed that warming significantly enhanced soil net CH4 uptake rate by 12.28 %, 29.51 %, and 61.05 % in the 0-10, 20-40, and 40-60 cm soil layers, respectively. The warming also led to reduced soil moisture levels, with more pronounced reductions observed at the 20-40 cm depth compared to the 0-20 cm depth. At the 0-10 cm depth, warming increased the relative abundance of upland soil cluster α (a type of MOB) and decreased the relative abundance of Methylocystis, but it did not significantly increase the pmoA gene copies. Our structural equation model analysis indicated that warming directly regulated soil CH4 uptake rate through the decrease in soil moisture, rather than through changes in the pmoA gene and MOB community structure at the 0-20 cm depth. In summary, our results demonstrate that warming enhances soil CH4 uptake at different depths, with soil moisture playing a crucial role in this process. Under warming conditions, the drier soil pores allow for better CH4 penetration, thereby promoting more efficient activity of MOB.
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Affiliation(s)
- Lei Zhang
- Fujian Provincial Key Laboratory for Plant Eco-physiology, Fujian Normal University, Fuzhou 350117, China
| | - Weisheng Lin
- Fujian Provincial Key Laboratory for Plant Eco-physiology, Fujian Normal University, Fuzhou 350117, China; Institute of Geography, Fujian Normal University, Fuzhou 350117, China; Fujian Sanming Forest Ecosystem National Observation and Research Station, Fujian normal University, Sanming 365002, China.
| | - Jordi Sardans
- CSIC, Global Ecology Unit, CREAF-CSIC-UAB, Bellaterra, Barcelona 08193, Catalonia, Spain; CREAF, Cerdanyola del Vallès, Barcelona 08193, Catalonia, Spain
| | - Xiaoling Li
- Fujian Provincial Key Laboratory for Plant Eco-physiology, Fujian Normal University, Fuzhou 350117, China
| | - Dafeng Hui
- Department of Biological Sciences, Tennessee State University, Nashville, TN 37209, USA
| | - Zhijie Yang
- Fujian Provincial Key Laboratory for Plant Eco-physiology, Fujian Normal University, Fuzhou 350117, China; Institute of Geography, Fujian Normal University, Fuzhou 350117, China; Fujian Sanming Forest Ecosystem National Observation and Research Station, Fujian normal University, Sanming 365002, China
| | - Haizhen Wang
- Fujian Provincial Key Laboratory for Plant Eco-physiology, Fujian Normal University, Fuzhou 350117, China
| | - Hao Lin
- Fujian Provincial Key Laboratory for Plant Eco-physiology, Fujian Normal University, Fuzhou 350117, China
| | - Yufang Wang
- College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, Gansu Province, China
| | - Jianfen Guo
- Fujian Provincial Key Laboratory for Plant Eco-physiology, Fujian Normal University, Fuzhou 350117, China; Institute of Geography, Fujian Normal University, Fuzhou 350117, China; Fujian Sanming Forest Ecosystem National Observation and Research Station, Fujian normal University, Sanming 365002, China.
| | - Josep Peñuelas
- CSIC, Global Ecology Unit, CREAF-CSIC-UAB, Bellaterra, Barcelona 08193, Catalonia, Spain; CREAF, Cerdanyola del Vallès, Barcelona 08193, Catalonia, Spain
| | - Yusheng Yang
- Institute of Geography, Fujian Normal University, Fuzhou 350117, China; Fujian Sanming Forest Ecosystem National Observation and Research Station, Fujian normal University, Sanming 365002, China
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3
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He T, Ding W, Cheng X, Cai Y, Zhang Y, Xia H, Wang X, Zhang J, Zhang K, Zhang Q. Meta-analysis shows the impacts of ecological restoration on greenhouse gas emissions. Nat Commun 2024; 15:2668. [PMID: 38531906 DOI: 10.1038/s41467-024-46991-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 03/15/2024] [Indexed: 03/28/2024] Open
Abstract
International initiatives set ambitious targets for ecological restoration, which is considered a promising greenhouse gas mitigation strategy. Here, we conduct a meta-analysis to quantify the impacts of ecological restoration on greenhouse gas emissions using a dataset compiled from 253 articles. Our findings reveal that forest and grassland restoration increase CH4 uptake by 90.0% and 30.8%, respectively, mainly due to changes in soil properties. Conversely, wetland restoration increases CH4 emissions by 544.4%, primarily attributable to elevated water table depth. Forest and grassland restoration have no significant effect on N2O emissions, while wetland restoration reduces N2O emissions by 68.6%. Wetland restoration enhances net CO2 uptake, and the transition from net CO2 sources to net sinks takes approximately 4 years following restoration. The net ecosystem CO2 exchange of the restored forests decreases with restoration age, and the transition from net CO2 sources to net sinks takes about 3-5 years for afforestation and reforestation sites, and 6-13 years for clear-cutting and post-fire sites. Overall, forest, grassland and wetland restoration decrease the global warming potentials by 327.7%, 157.7% and 62.0% compared with their paired control ecosystems, respectively. Our findings suggest that afforestation, reforestation, rewetting drained wetlands, and restoring degraded grasslands through grazing exclusion, reducing grazing intensity, or converting croplands to grasslands can effectively mitigate greenhouse gas emissions.
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Affiliation(s)
- Tiehu He
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, P.R. China
- Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, the Chinese Academy of Sciences & Hubei Province, Wuhan, 430074, P.R. China
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China
- Hubei Key Laboratory of Wetland Evolution & Ecological Restoration, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China
| | - Weixin Ding
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Xiaoli Cheng
- School of Ecology and Environmental Science, Yunnan University, Kunming, 650091, P. R. China
| | - Yanjiang Cai
- State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, 311300, China
| | - Yulong Zhang
- Eastern Forest Environmental Threat Assessment Center, Southern Research Station, USDA Forest Service, Research Triangle Park, NC, 27709, USA
| | - Huijuan Xia
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, P.R. China
- Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, the Chinese Academy of Sciences & Hubei Province, Wuhan, 430074, P.R. China
| | - Xia Wang
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, P.R. China
- Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, the Chinese Academy of Sciences & Hubei Province, Wuhan, 430074, P.R. China
| | - Jiehao Zhang
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, P.R. China
- Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, the Chinese Academy of Sciences & Hubei Province, Wuhan, 430074, P.R. China
| | - Kerong Zhang
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, P.R. China.
- Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, the Chinese Academy of Sciences & Hubei Province, Wuhan, 430074, P.R. China.
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
- Hubei Key Laboratory of Wetland Evolution & Ecological Restoration, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China.
| | - Quanfa Zhang
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, P.R. China
- Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station, the Chinese Academy of Sciences & Hubei Province, Wuhan, 430074, P.R. China
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He Z, Ding B, Pei S, Cao H, Liang J, Li Z. The impact of organic fertilizer replacement on greenhouse gas emissions and its influencing factors. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 905:166917. [PMID: 37704128 DOI: 10.1016/j.scitotenv.2023.166917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 08/19/2023] [Accepted: 09/06/2023] [Indexed: 09/15/2023]
Abstract
Although organic fertilizers played an important role in enhancing crop yield and soil quality, the effects of organic fertilizers replacing chemical fertilizers on greenhouse gas (GHG) emissions remained inconsistent, and further impeding the widespread adoption of organic fertilizers. Therefore, a global meta-analysis used 568 comparisons from 137 publications was conducted to evaluate the responses of GHG emissions to organic fertilizers replacing chemical fertilizers. The results indicated that organic fertilizers replacing chemical fertilizers significantly decreased N2O emissions, but increasing global warming potential (GWP) by enhancing CH4 and CO2 emissions. When replacing chemical fertilizers with organic fertilizers, a variety of factors such as climate conditions, soil conditions, crop types and agricultural practices influenced the GHG emissions and GWP. Among these factors, fertilizer organic C and available N level were the main factors affecting GHG and GWP. However, considering the feasibility and ease of optimizing these factors, fertilizer organic C, C/N and N substitution rate showed a more favorable choice for GWP reduction, and their interactions significantly affecting GWP. Moreover, considering the distinct GHG emissions patterns in dryland and paddy field, the analysis of optimizing GWP based on fertilizer organic C, C/N and N substitution rate was separately conducted. According to the simulation optimization, the optimal combination of fertilizer organic C (137.2-228.8 g·kg-1), C/N (6.9-52.0) and N substitution rate (20.0-22.5 %) effectively suppressed the extent of increase in GWP in paddy field compared with chemical fertilizers. In dryland, optimizing fertilizer organic C (100-278 g·kg-1), C/N (70.7-76.6) and N substitution rate (10.2-16.0 %) led to a reduction in GWP compared with chemical fertilizers, indicating that dryland are more suitable for promoting organic fertilizer application. In conclusion, this meta-analysis study quantitatively assessed the GHG emissions when organic fertilizers replacing chemical fertilizers, and also provided a scientific basis for the mitigation of GHG emissions by organic fertilizers management.
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Affiliation(s)
- Zijian He
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China.
| | - Bangxin Ding
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Shuyao Pei
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Hongxia Cao
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China.
| | - Jiaping Liang
- Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China.
| | - Zhijun Li
- Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, China
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5
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Yao X, Song C. Effect of different factors dominated by water level environment on wetland carbon emissions. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:74150-74162. [PMID: 35633453 DOI: 10.1007/s11356-022-20289-9] [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: 01/05/2022] [Accepted: 04/12/2022] [Indexed: 06/15/2023]
Abstract
The exacerbation of global warming has led to changes in wetland carbon emissions worldwide. Therefore, we conducted a meta-analysis of methane (CH4) and carbon dioxide (CO2) emissions in wetland ecosystem and explored the underlying mechanisms. Our finding indicated that (1) water level of -50 to 30 cm (the negative value represents the depth of the groundwater table, whereas the positive value represents the height of the above-ground water table) and -10 cm will result in a large CH4 and CO2 emissions, respectively; (2) CO2 and CH4 massive emissions occurred at the temperature range of 15-20 °C and > 20 °C, respectively; (3) CH4 and CO2 emissions were higher when the mean annual precipitation (MAP) was between 400 and 800 mm, but lower at an range of 800-1200 mm; (4) there was no significant difference in CH4 and CO2 emissions in marsh over time; however, CO2 emissions in fen were relatively high; (5) there was no significant difference in CO2 emissions between the forest, grass, and shrub groups; there was also no significant difference in CH4 emission within the forest group; and (6) MAP has a low impact (0.577) on the CO2 emissions of wetlands. Collectively, our findings highlight the characteristics of wetland CH4 and CO2 emissions under different conditions dominated by water level, enhance our understanding of the potential mechanisms that govern these effects, and provide basis for future wetland management and restoration in the future.
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Affiliation(s)
- Xiaochen Yao
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Changchun Song
- Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China.
- School of Hydraulic Engineering, Dalian University of Technology, Dalian, 116023, China.
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6
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Duan B, Cai T, Man X, Xiao R, Gao M, Ge Z, Mencuccini M. Different variations in soil CO 2, CH 4, and N 2O fluxes and their responses to edaphic factors along a boreal secondary forest successional trajectory. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:155983. [PMID: 35588825 DOI: 10.1016/j.scitotenv.2022.155983] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Revised: 04/22/2022] [Accepted: 05/11/2022] [Indexed: 06/15/2023]
Abstract
Forest succession is an important process regulating the carbon and nitrogen budgets in forest ecosystems. However, little is known about how and extent by which vegetation succession predictably affects soil CO2, CH4, and N2O fluxes, especially in boreal forest. Here, a field study was conducted along a secondary forest succession trajectory from Betula platyphylla forest (early stage), then Betula platyphylla-Larix gmelinii forest (intermediate stage), to Larix gmelinii forest (late stage) to explore the effects of forest succession on soil greenhouse gas fluxes and related soil environmental factors in Northeast China. The results showed significant differences in soil greenhouse gas fluxes during the forest succession. During the study period, the average soil CO2 flux was greatest at mid-successional stage (444.72 mg m-2 h-1), followed by the late (341.81 mg m-2 h-1) and the early-successional (347.12 mg m-2 h-1) stages. The average soil CH4 flux increased significantly during succession, ranging from -0.062 to -0.036 mg m-2 h-1. The average soil N2O flux was measured as 17.95 μg m-2 h-1 at intermediate successional stage, significantly lower than that at late (20.71 μg m-2 h-1) and early-successional (20.85 μg m-2 h-1) stages. During forest succession, soil greenhouse gas fluxes showed significant correlations with soil and environmental factors at both seasonal and successional time scales. The seasonal variations of soil GHG fluxes were mainly influenced by soil temperature and water content. Meanwhile, soil MBN and soil NO3--N content were also important factors for soil N2O fluxes. Structural equation modelling showed that forest succession affected soil CO2 fluxes by changing soil temperature and microbial biomass carbon, affected soil CH4 fluxes mainly by changing soil water content and soil pH value, and affected soil N2O fluxes mainly by changing soil temperature, microbial biomass nitrogen, and soil NO3--N content. Our study suggests that forest succession mainly alters soil nutrient and soil environment/chemical properties affecting soil CO2 and N2O fluxes and soil CH4 fluxes, respectively, in the secondary forest succession process.
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Affiliation(s)
- Beixing Duan
- School of Forestry, Northeast Forestry University, Harbin 150040, China; Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China; CREAF, Barcelona, Cerdanyola del Valles, Spain.
| | - Tijiu Cai
- School of Forestry, Northeast Forestry University, Harbin 150040, China; Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China.
| | - Xiuling Man
- School of Forestry, Northeast Forestry University, Harbin 150040, China; Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China.
| | - Ruihan Xiao
- School of Forestry, Northeast Forestry University, Harbin 150040, China; Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China.
| | - Minglei Gao
- School of Forestry, Northeast Forestry University, Harbin 150040, China; Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China.
| | - Zhaoxin Ge
- School of Forestry, Northeast Forestry University, Harbin 150040, China; Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, Northeast Forestry University, Harbin 150040, China.
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Xiang Y, Li Y, Luo X, Liu Y, Huang P, Yao B, Zhang L, Li W, Xue J, Gao H, Li Y, Zhang W. Mixed plantations enhance more soil organic carbon stocks than monocultures across China: Implication for optimizing afforestation/reforestation strategies. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 821:153449. [PMID: 35093345 DOI: 10.1016/j.scitotenv.2022.153449] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 01/18/2022] [Accepted: 01/22/2022] [Indexed: 06/14/2023]
Abstract
Forests play an essential role in mitigating climate change by sequestering carbon dioxide from the atmosphere. The establishment of mixed plantations is a promising way to store carbon (C) in soil compared with monocultures. However, monoculture forests largely dominate the rapid increase in forest areas in China. To optimize afforestation strategies and maximize the subsequent potential of C sequestration, we conducted a meta-analysis with 427 observations across 176 study sites in China. The goal was to quantify changes in the stocks of soil organic carbon (SOC) in mixed plantations compared with monocultures and to identify the predominant drivers for the stocks of SOC, including geological location, climatic factors, land use history, edaphic properties, plantation age, the inclusion of nitrogen-fixing trees, mixing proportion, and mixed plant types. The results showed that mixed plantations significantly increased the SOC stocks by 12% compared with monocultures, and the mixing proportion should not exceed 55% to produce higher SOC stocks in mixed plantations compared with monoculture. Additionally, mixed plantations in barren land are the most likely to increase the SOC stocks with limited water or low temperatures for growth. Additional measures instead of mixed plantations should be explored to increase SOC stocks in north, central, and northwest China. The data from this study demonstrated the spatiotemporal variability on the storage of SOC driven by mixed trees and has valuable implications for the establishment and management of afforestation.
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Affiliation(s)
- Yangzhou Xiang
- Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, School of Geography and Resources, Guizhou Education University, Guiyang 550018, China; Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China
| | - Yuan Li
- State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China
| | - Xuqiang Luo
- Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, School of Geography and Resources, Guizhou Education University, Guiyang 550018, China
| | - Ying Liu
- School of Biological Sciences, Guizhou Education University, Guiyang 550018, China
| | - Pei Huang
- Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China; Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; State Forestry Administration Dunhuang Desert Ecosystem Location Research Station, Dunhuang 736200, China
| | - Bin Yao
- Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China; Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; State Forestry Administration Dunhuang Desert Ecosystem Location Research Station, Dunhuang 736200, China.
| | - Leiyi Zhang
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou 510650, China; Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-sen University, Guangzhou 510006, China
| | - Wenli Li
- Saibei Forest Farm, Zhangjiakou City, Zhangjiakou 075000, China
| | - Jianming Xue
- College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China; New Zealand Forest Research Institute Ltd. (Scion), Scion 8440, New Zealand
| | - Hongjuan Gao
- Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, School of Geography and Resources, Guizhou Education University, Guiyang 550018, China
| | - Yonghua Li
- Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China; Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; State Forestry Administration Dunhuang Desert Ecosystem Location Research Station, Dunhuang 736200, China
| | - Wei Zhang
- Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, School of Geography and Resources, Guizhou Education University, Guiyang 550018, China
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8
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Li Q, Dong Y, Zhang Q, Jia W, Cheng X. Determinants of soil carbon- and nitrogen-hydrolyzing enzymes within different afforested lands in central China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:18868-18881. [PMID: 34704228 DOI: 10.1007/s11356-021-16817-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 09/25/2021] [Indexed: 06/13/2023]
Abstract
Soil organic matter (SOM) decomposition is regulated by a complex set of enzymes. However, the influences of biotic and abiotic factors on spatial variations of soil enzyme activity (EA) within ecosystems remain unresolved. Here, we measured EA at different locations within two afforested lands (coniferous woodland and leguminous shrubland), and simultaneously collected data on soil physico-chemical, vegetation-related, and microbial properties to identify the determinants of EA spatial patterns. The results showed that soil organic C and total N contents were the predominant abiotic factors in regulating absolute EA (EA per unit of oven-dry soil mass) in both afforested lands, while soil pH was the predominant factor in regulating specific EA (EA per unit of microbial biomass (MB)). However, the predominant biotic factors varied with the afforested type: the root biomass and MB were the determinants of EA in the shrubland, whereas the tree distribution, litter and root biomass, and bacterial biomass were the determinants in the woodland. Vegetation-related factors (i.e., litter and root biomass) indirectly influenced soil EA by regulating the soil abiotic factors. Compared with the MB, microbial community composition had a minor impact on EA. The variance of specific EA (EA per unit of MB or SOM) explained by selected factors was much lower than that of absolute EA. In addition, the enzymatic C/N ratio within ecosystems did not follow a general pattern (1:1) observed at a global scale. Our results provide novel experimental insight into ecosystem-level spatial variability of C and N cycling via enzymes, suggesting that soil abiotic factors are more reliable than biotic factors to reflect EA spatial patterns across afforested systems.
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Affiliation(s)
- Qianxi Li
- Hubei Provincial Academy of Eco-environmental Sciences (Hubei Eco-environmental Engineering Assessment Center), Wuhan, 430079, People's Republic of China
- School of Environmental Studies, China University of Geosciences, Wuhan, 430074, People's Republic of China
| | - Yiran Dong
- School of Environmental Studies, China University of Geosciences, Wuhan, 430074, People's Republic of China
| | - Qian Zhang
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Science, Yunnan University, Kunming, 650091, People's Republic of China
| | - Wei Jia
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences (CAS), Wuhan, 430074, People's Republic of China
| | - Xiaoli Cheng
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Science, Yunnan University, Kunming, 650091, People's Republic of China.
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9
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Yue P, Zuo X, Li K, Li X, Wang S, Misselbrook T. Precipitation changes regulate the annual methane uptake in a temperate desert steppe. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 804:150172. [PMID: 34798732 DOI: 10.1016/j.scitotenv.2021.150172] [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: 06/30/2021] [Revised: 09/02/2021] [Accepted: 09/02/2021] [Indexed: 06/13/2023]
Abstract
Desert soils are an important sink of atmospheric methane (CH4) and regulate the global CH4 budget. However, it is still unclear how CH4 fluxes respond to precipitation changes in desert-steppe soils. Therefore, a two-year in situ control experiment was conducted to investigate the effect of precipitation changes on CH4 uptake in desert steppe of Inner Mongolia in northwest China and its driving mechanism. The result showed that this desert steppe was an important sink of CH4, with an annual uptake of 2.93 (2.64-3.22) kg C ha-1. It was found that CH4 uptake was reduced significantly for decreasing precipitation, especially in spring and summer. In contrast, an increasing trend of CH4 uptake was observed for increasing precipitation, although it was not statistically significant. Further analyses found that CH4 uptake was more sensitive to decreasing precipitation than increasing precipitation. This may be mainly due to the fact that only moderate water-filled pore space (WFPS) induced by precipitation promoted CH4 uptake, while too-high (>32%) or too-low WFPS inhibited its uptake. A structural equation model showed that the copy number of the pmoA functional gene was the most important factor affecting CH4 uptake. In contrast, soil moisture had a very important indirect effect on CH4 uptake, mainly through significantly affected soil porosity, the above-ground plant biomass and NO3--N content, further affected CH4 uptake. Overall, CH4 sinks in desert steppe was still mainly controlled by methane-oxidizing bacteria containing the key functional gene pmoA and WFPS. Therefore, precipitation plays an important role in regulating the intensity of CH4 sinks in desert steppe, while it is worth noting that too-little precipitation will significantly weaken CH4 sinks.
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Affiliation(s)
- Ping Yue
- Urat Desert-grassland Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Science, Lanzhou 730000, China; Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Key Laboratory of Stress Physiology and Ecology, Lanzhou 730000, Gansu Province, China
| | - Xiaoan Zuo
- Urat Desert-grassland Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Science, Lanzhou 730000, China; Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Key Laboratory of Stress Physiology and Ecology, Lanzhou 730000, Gansu Province, China.
| | - Kaihui Li
- State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
| | - Xiangyun Li
- Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Key Laboratory of Stress Physiology and Ecology, Lanzhou 730000, Gansu Province, China
| | - Shaokun Wang
- Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; Key Laboratory of Stress Physiology and Ecology, Lanzhou 730000, Gansu Province, China
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10
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Chen Q, Long C, Chen J, Cheng X. Differential response of soil CO 2 , CH 4 , and N 2 O emissions to edaphic properties and microbial attributes following afforestation in central China. GLOBAL CHANGE BIOLOGY 2021; 27:5657-5669. [PMID: 34363712 DOI: 10.1111/gcb.15826] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 07/19/2021] [Indexed: 06/13/2023]
Abstract
Land use change specially affects greenhouse gas (GHG) emissions, and it can act as a sink/source of GHGs. Alterations in edaphic properties and microbial attributes induced by land use change can individually/interactively contribute to GHG emissions, but how they predictably affect soil CO2 , CH4 , and N2 O emissions remain unclear. Here, we investigated the direct and indirect controls of edaphic properties (i.e., dissolved organic carbon [DOC], soil organic C, total nitrogen, C:N ratio, NH4+ -N, NO3- -N, soil temperature [ST], soil moisture [SM], pH, and bulk density [BD]) and microbial attributes (i.e., total phospholipid fatty acids [PLFAs], 18:1ω7c, nitrifying genes [ammonia-oxidizing archaea, ammonia-oxidizing bacteria], and denitrifying genes [nirS, nirK, and nosZ]) over the annual soil CO2 , CH4 , and N2 O emissions from the woodland, shrubland, and abandoned land in subtropical China. Soil CO2 and N2 O emissions were higher in the afforested lands (woodland and shrubland) than in the abandoned land, but the annual cumulative CH4 uptake did not significantly differ among all land use types. The CO2 emission was positively associated with microbial activities (e.g., total PLFAs), while the CH4 uptake was tightly correlated with soil environments (i.e., ST and SM) and chemical properties (i.e., DOC, C:N ratio, and NH4+ -N concentration), but not significantly related to the methanotrophic bacteria (i.e., 18:1ω7c). Whereas, soil N2 O emission was positively associated with nitrifying genes, but negatively correlated with denitrifying genes especially nosZ. Overall, our results suggested that soil CO2 and N2 O emissions were directly dependent on microbial attributes, and soil CH4 uptake was more directly related to edaphic properties rather than microbial attributes. Thus, different patterns of soil CO2 , CH4 , and N2 O emissions and associated controls following land use change provided novel insights into predicting the effects of afforestation on climate change mitigation outcomes.
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Affiliation(s)
- Qiong Chen
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, P.R. China
| | - Chunyan Long
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, P.R. China
| | - Jingwen Chen
- South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xiaoli Cheng
- Key Laboratory of Soil Ecology and Health in Universities of Yunnan Province, School of Ecology and Environmental Sciences, Yunnan University, Kunming, P.R. China
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11
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Identifying Carbon-Degrading Enzyme Activities in Association with Soil Organic Carbon Accumulation Under Land-Use Changes. Ecosystems 2021. [DOI: 10.1007/s10021-021-00711-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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12
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Meyer KM, Morris AH, Webster K, Klein AM, Kroeger ME, Meredith LK, Brændholt A, Nakamura F, Venturini A, Fonseca de Souza L, Shek KL, Danielson R, van Haren J, Barbosa de Camargo P, Tsai SM, Dini-Andreote F, de Mauro JMS, Barlow J, Berenguer E, Nüsslein K, Saleska S, Rodrigues JLM, Bohannan BJM. Belowground changes to community structure alter methane-cycling dynamics in Amazonia. ENVIRONMENT INTERNATIONAL 2020; 145:106131. [PMID: 32979812 DOI: 10.1016/j.envint.2020.106131] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 08/31/2020] [Accepted: 09/08/2020] [Indexed: 06/11/2023]
Abstract
Amazonian rainforest is undergoing increasing rates of deforestation, driven primarily by cattle pasture expansion. Forest-to-pasture conversion has been associated with increases in soil methane (CH4) emission. To better understand the drivers of this change, we measured soil CH4 flux, environmental conditions, and belowground microbial community structure across primary forests, cattle pastures, and secondary forests in two Amazonian regions. We show that pasture soils emit high levels of CH4 (mean: 3454.6 ± 9482.3 μg CH4 m-2 d-1), consistent with previous reports, while forest soils on average emit CH4 at modest rates (mean: 9.8 ± 120.5 μg CH4 m-2 d-1), but often act as CH4 sinks. We report that secondary forest soils tend to consume CH4 (mean: -10.2 ± 35.7 μg CH4 m-2 d-1), demonstrating that pasture CH4 emissions can be reversed. We apply a novel computational approach to identify microbial community attributes associated with flux independent of soil chemistry. While this revealed taxa known to produce or consume CH4 directly (i.e. methanogens and methanotrophs, respectively), the vast majority of identified taxa are not known to cycle CH4. Each land use type had a unique subset of taxa associated with CH4 flux, suggesting that land use change alters CH4 cycling through shifts in microbial community composition. Taken together, we show that microbial composition is crucial for understanding the observed CH4 dynamics and that microorganisms provide explanatory power that cannot be captured by environmental variables.
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Affiliation(s)
- Kyle M Meyer
- Department of Integrative Biology, University of California - Berkeley, Berkeley, CA, USA; Institute of Ecology and Evolution, University of Oregon, Eugene, OR, USA.
| | - Andrew H Morris
- Institute of Ecology and Evolution, University of Oregon, Eugene, OR, USA
| | | | - Ann M Klein
- Institute of Ecology and Evolution, University of Oregon, Eugene, OR, USA; College of the Siskiyous, Weed, CA, USA
| | - Marie E Kroeger
- Department of Microbiology, University of Massachusetts Amherst, MA, USA
| | - Laura K Meredith
- School of Natural Resources and the Environment, Tucson, AZ, USA; Biosphere 2, University of Arizona, Tucson, AZ, USA
| | - Andreas Brændholt
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Fernanda Nakamura
- Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Andressa Venturini
- Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Leandro Fonseca de Souza
- Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Katherine L Shek
- Institute of Ecology and Evolution, University of Oregon, Eugene, OR, USA
| | - Rachel Danielson
- Department of Land, Air, and Water Resources, University of California - Davis, Davis, CA, USA
| | - Joost van Haren
- Biosphere 2, University of Arizona, Tucson, AZ, USA; Honors College, University of Arizona, Tucson, AZ, USA
| | | | - Siu Mui Tsai
- Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - Fernando Dini-Andreote
- Department of Soil Science, 'Luiz de Queiroz' College of Agriculture, University of São Paulo, Piracicaba, São Paulo, Brazil
| | - José M S de Mauro
- Universidade Federal do Oeste do Pará, Santarém-Tapajós, Pará, Brazil
| | - Jos Barlow
- Lancaster Environmental Centre, Lancaster University, Lancaster, UK
| | - Erika Berenguer
- Lancaster Environmental Centre, Lancaster University, Lancaster, UK; Environmental Change Institute, University of Oxford, Oxford, UK
| | - Klaus Nüsslein
- Department of Microbiology, University of Massachusetts Amherst, MA, USA
| | - Scott Saleska
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Jorge L M Rodrigues
- Department of Land, Air, and Water Resources, University of California - Davis, Davis, CA, USA
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