Application of LICA Soil Greenhouse Gas Flux Monitoring System
1 Abstract
The process of soil Greenhouse gas emissions or absorptions is extremely complex in terrestrial ecosystems. It has become an urgent need for soil greenhouse gas researchers to achieve synchronization and in situ monitoring of multiple soil greenhouse gases. Based on this, Beijing LICA United Technology Limited (Hereinafter referred to as LICA) research and develop a series of soil gas flux monitoring products.
PS-9000 Portable Soil Carbon Flux Automatic Measurement System, SF-9000 Multi-channel Soil Carbon Flux Automatic Measuring System can work with 18 survey chambers, which is designed to measure soil CO2 flux at multiple points and realize continuous and long-term monitoring of soil carbon flux. SF-3500 Multi-channel Automatic Soil Gas Flux System (The old version is SF-3000), which is designed to measure the gas flux of CO2, CH4, N2O, NH3 and other gas flux by connecting a variety of gas analyzers, and to measure the isotope value of 13CO2, 12C18O16O, 15N14NO by connecting other isotope analyzers, can collect a continuous dataset from up to 18 chambers to characterize spatial and temporal variation of gas exchange over a research area.
LICA focuses on the research and development and production of domestic ecological instruments. It is believed that with increasing investment in research and development, and accumulation of market and time, LICA will produce more and better ecological instruments and provide more valuable products to more customers at home and abroad.
2 Application Cases
2.1 PS-9000 Multi-channel Soil Carbon Flux Automatic Measuring System
Institute of Applied Ecology, Chinese Academy of Sciences used PS-9000 soil carbon flux system to measure the soil CO2 emissions from peach trees.
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2.2 PS-3020 Portable Automatic Soil N2O Flux System
Shanghai Academy of Environmental Sciences used PS-3020 soil flux system to measure the soil N2O/CH4 emissions from the rice field in Chongming District, Shanghai.
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2.3 SF-9000 Multi-channel Soil Carbon Flux Automatic Measuring System
Northwest Institute of Plateau Biology, Chinese Academy of Sciences, used in Alpine meadow.
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2.4 SF-3000 Multi-channel Automatic Soil Gas Flux System
1. Application on forestry ecosystem (Qingyuan forestry station)
Institute of Applied Ecology, Chinese Academy of Sciences, SF-3000 soil flux system is used in Qingyuan forestry station to monitor the forestry system NOx for long term.
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2. Application on farmland ecosystem (Lanzhou city)
Lanzhou University, N2O+SF-3000 soil flux system is used in farmland ecosystem to monitor the N2O soil flux of alfalfa.
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3 Application Articles
From research & development and production up to now, many scientists have used these products for many studies. For example, the wetland and climate change team from Institute of Wetland Research, Chinese Academy of Forestry took the Sichuan Zoige Plateau peatland as the research object, relied on PS-9000 Portable Soil Carbon Flux Automatic Measurement System and combined in-situ observations and laboratory experiments to study the response of Zoige Plateau peatland ecosystem carbon emissions (Ecosystem respiration and soil respiration) to extreme drought events in different periods of plant growing season, and reveal the driving mechanism of plant and soil enzyme activities on peatland carbon emission. One research team used PS-3000 Portable Automatic Soil Respiration System to measure the ecosystem respiration (Re) and CH4 fluxes on slopes with different aspects [north-facing (shady) and south-facing (sunny) slopes], and in different altitudinal positions (lower, middle, and upper slope positions) during two consecutive growing seasons (2017 and 2018). Aiming to elucidate the patterns of Re and CH4 fluxes and to quantify the relative contributions of abiotic and biotic factors in regulating Re and CH4 fluxes at the watershed scale of a Tibetan alpine grassland. Another research team from Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences concurrently measured carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O) fluxes and their total balance in an alpine meadow of the Qinghai-Tibetan Plateau (QTP) in response to three levels of warming (ambient, +1.5°C, +3.0 °C) by SF-3500 Multi-channel Automatic Soil Gas Flux System to understand (a) what are the differences in the warming responses of CO2 versus CH4 and N2O fluxes, (b) what is the short-term sensitivity of annual GHG fluxes to different warming levels, and (c) what are the differences in the warming responses of GHG fluxes between the growing season and non-growing season. LICA is committed to supporting researchers in their research career, and LICA will take a new look to meet more challenges and opportunities and serve new and old customers with greater enthusiasm.
4 Published Literature
1. Yan ZQ, Kang EZ, Zhang KR et al. 2021. Plant and Soil Enzyme Activities Regulate CO2 Efflux in Alpine Peatlands After 5 Years of Simulated Extreme Drought[J]. Frontiers in Plant Science, 12: 756956. (PS-9000)
2. Kang EZ, Li Y, Zhang XD et al. 2022. Extreme drought decreases soil heterotrophic respiration but not methane flux by modifying the abundance of soil microbial functional groups in alpine peatland[J]. Catena, 106043, https://doi.org/10.1016/j.catena.2022.106043. (PS-9000)
3. Li Y, Wang GW, Bing HJ et al. 2021. Watershed scale patterns and controlling factors of ecosystem respiration and methane fluxes in a Tibetan alpine grassland[J]. Agricultural and Forest Meteorology, https://doi.org/10.1016/j.agrformet.2021.108451. (PS-3000)
4. Rong YP, Ma L, Johnson DA. 2015. Methane uptake by four land-use types in the agro-pastoral region of northern China[J]. Atmospheric Environment, 116: 12-21. (SF-3000)
5. Rong YP, Ma L, Johnson DA et al. 2015. Soil respiration patterns for four major land-use types of the agro-pastoral region of northern China[J]. Agriculture, Ecosystems and Environment, 213: 142-150. (SF-3000)
6. Pan ZL, Johnson DA, Wei ZJ et al. 2016. Non-growing season soil CO2 efflux patterns in five land-use types in northern China[J]. Atmospheric Environment, 144: 160-167. (SF-3000)
7. Pan ZL, Wei ZJ, Ma L et al. 2016. Effects of various stocking rates on grassland soil respiration during the non-growing season[J]. Acta Ecologica Sinica, 36: 411-416. (SF-3000)
8. Ma L, Zhong MY, Zhu YH et al. 2018. Annual methane budgets of sheep grazing systems were regulated by grazing intensities in the temperate continental steppe: A two-year case study[J]. Atmospheric Environment, 174: 66-75. (SF-3000)
9. Ye S, Guo CY, Han JY et al. 2019. Modelling Soil Greenhouse Gas Fluxes from a Broad-leaved Korean Pine Forest in Changbai Mountain: Forest-DNDC Model Validation[J]. Journal of Resources and Ecology, 10(2): 127-136. (SF-3000)
10. Su CX, Zhu WX, Kang RH et al. 2021. Interannual and seasonal variabilities in soil NO fluxes from a rainfed maize field in the Northeast China[J]. Environmental Pollution, 286, 117312. (SF-3000)
11. Yang L, Zhang QL, Ma ZT et al. 2021. Seasonal variations in temperature sensitivity of soil respiration in a larch forest in the Northern Daxing’an Mountains in Northeast China[J]. Journal of Forestry Research, 3. (SF-3000)
12. Zhang YM, Naafs BDA, Huang XY et al. 2022. Variations in wetland hydrology drive rapid changes in the microbial community, carbon metabolic activity, and greenhouse gas fluxes[J]. Geochimica et Cosmochimica Acta, 317: 269-285. (SF-3000)
13. Jia Z, Li P, Wu YT et al. 2020. Deepened snow cover alters biotic and abiotic controls on nitrogen loss during non-growing season in temperate grasslands[J]. Biology and Fertility of Soils, 57(2): 165-177. (SF-3500)
14. Wang JS, Quan Q, Chen WN et al. 2021. Increased CO2 emissions surpass reductions of non-CO2 emissions more under higher experimental warming in an alpine meadow[J]. Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2020.144559. (SF-3500)
15. 庄静静, 张劲松, 孟平等. 2015. 华北低山丘陵区土壤CH4通量对脉冲降雨的响应[J]. 东北林业大学学报, 43(10): 72-78. (SF-3000)
16. 庄静静, 张劲松, 孟平等. 2015. 华北低山丘陵区人工林土壤CH4通量测定代表性时段研究[J]. 生态环境学报, 24(11): 1791-1798. (SF-3000)
17. 刘博奇, 牟长城, 邢亚娟等. 2016. 小兴安岭典型温带森林土壤呼吸对强降雨的响应[J]. 北京林业大学学报, 38(4): 77-85. (SF-3000)
18. 庄静静, 张劲松, 孟平等. 2016. 非生长季刺槐林土壤CH4通量的变化特征及其影响因子[J]. 林业科学研究, 29(2):274-282. (SF-3000)
19. 何方杰, 韩辉邦, 马学谦等. 2019. 隆宝滩沼泽湿地不同区域的甲烷通量特征及影响因素[J]. 生态环境学报, 28(4): 803-811. (SF-3000)
20. 何可宜, 沈亚文, 冯继广等. 2021. 植物残体输入改变对樟子松人工林土壤呼吸及其温度敏感性的影响[J]. 北京大学学报(自然科学版), 57(2): 361-370. (PS-2000)