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PRI-8800 Automatic Varying Temperature Incubations and Continuous Soil Respiration Measurement System
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       A reliable and precise estimate of the temperature sensitivity (Q10) of soil organic matter (SOM) decomposition is critical to predict feedbacks between the global carbon cycle and climate change. Traditional methods for estimating Q10 includes CDM mode (constant temperature incubation and discontinuous measurements) and VDM mode (varying temperature incubation and discontinuous measurements). According the conclusion of Robinson(2017),over 20 temperature points could get more precision Q10. Which is difficult for traditional measurement. Combining rapidly VCM mode (varying temperature incubations and continuous measurements), PRI-8800 (patented) leads a new method for Q10 estimation. VCM mode eliminates the underestimated errors by both CDM and VDM modes, provide a more accurate and rapid estimation of the temperature response of SOM decomposition and can be used for large-scale estimation of Q10.
       PRI-8800 is a new and exciting solution for continuous soil respiration measurements combining varying temperature incubations in lab, is easy to connect with various GHGs analyzers and isotope analyzers. Special designed cylinders enable to load both disturbed soil and undisturbed soil. Optimized temperature threshold contribute benefit for soil freezing-thawing experiment.

Key Feature

  • Varying temperature incubations and continuous measurements;
  • Excellent compatibility and extensibility with various analyzers;
  • Automatic temperature control (-20 ~ 60℃);
  • Temperature fluctuation is better than 0.05℃;
  • Dual gas circuit to eliminate effect of initial high concentration;
  • Inherent cahnnels for isotope and concentration calibration.
Specifications
Parameter Specifications
Cylinder 5 cm D × 17 cm
Volume 307.47 mL
Adapter Ring 6 cm × 6.5 cm
Volume of Adapter 73.68 mL
Net Volume of Adapter 39.67 mL
Total Volume of Cylinder and Adapter 287.21 mL
Sensor Install Tool Designed for ID ≤ 5mm cable
Tray Capacity 25 samples
Temperature Range -15 to 60℃
Temperature Fluctuation ± 0.05℃
ACC Temperature + 40℃
Refrigerating Capacity @ 20℃ BT/20°C AT 2000W
Heating Rate / Cooling Rate (5-30℃) 1℃/min
Dimensions of Water Bath (Inside) 400 mm W × 400 mm D × 200 mm H
Autosampler Precision 0.02 mm
Air Temperature Precision ±0.15℃ (Temp. sensor)
Pressure Precision ±0.05% (sensor)
Flow Rate 0.9 L/min
Gas Tube 1/8” Stainless or Teflon
System Response time < 4 s
Calibration Channels 3
Power 100 ~ 240VAC,50/60 Hz,
1500 W(Heating); 1250 W (Cooling)
Dimensions 762 mm × 950 cm × 1700 mm
 
8800-1 CO2 H2O analzyer (Integrated in PRI-8800)
CO2 Accuracy ±2%
CO2 Measurement Range 0 to 2000 ppm
H2O Precision (Typical) ±2%
H2O Measurement Range 0 to 100% RH
Sampling Temperature -10 ~ 45 °C
Sampling Pressure 80 ~ 115 kPa
Sampling Humidity 0-100% R.H, non-condensing
Fittings 1/4″ Swagelok

Configuration

       PRI-8800 includes water bath with refrigerator and heater system, autosampler, sample tray, 25pcs Cylinder.
       8800-1: stanard CO2 H2O analyzer with 2% CO2 accuracy.

Publications
1.Jun Pan, Yuan Liu, Nianpeng He, Chao Li, Mingxu Li, Li Xu, Osbert Jianxin Sun. 2024. The influence of forest-to-cropland conversion on temperature sensitivity of soil microbial respiration across tropical to temperate zones. Soil Biology and Biochemistry, doi:10.1016/j. soilbio.2024.109322.
2.Zheng J, Mao X, van Groenigen K J, et al. Decoupling of soil carbon mineralization and microbial community composition across a climate gradient on the Tibetan Plateau[J]. Geoderma, 2024, 441: 116736.Pa
3.Liu Y, Kumar A, Tiemann L K, et al. Substrate availability reconciles the contrasting temperature response of SOC mineralization in different soil profiles[J]. Journal of Soils and Sediments, 2023: 1-15.
4.Liu YH,Xiong DC,Wu C,et al.Effects of exogenous carbon addition on soil carbon emission in a subtropical evergreen broad-leaf forest[J]. Journal of Forest & Environment, 2023, 43(5).
5.Li C, Xiao C, Li M, et al. The quality and quantity of SOM determines the mineralization of recently added labile C and priming of native SOM in grazed grasslands[J]. Geoderma, 2023, 432: 116385.
6.Xiaoliang Ma, Shengjing Jiang, Zhiqi Zhang, Hao Wang, Chao Song, Jin-Sheng He. Long‐term collar deployment leads to bias in soil respiration measurements[J]. Methods in Ecology and Evolution, 2023, 14(3): 981-990.
7.Yanghui He, Xuhui Zhou, Zhen Jia, Lingyan Zhou, Hongyang Chen, Ruiqiang Liu, Zhenggang Du, Guiyao Zhou, Junjiong Shao, Junxia Ding, Kelong Chen, Iain P. Hartley. Apparent thermal acclimation of soil heterotrophic respiration mainly mediated by substrate availability[J]. Global Change Biology, 2023, 29(4): 1178-1187.
8.Mao X, Zheng J, Yu W, et al. Climate-induced shifts in composition and protection regulate temperature sensitivity of carbon decomposition through soil profile[J]. Soil Biology and Biochemistry, 2022, 172: 108743.
9.Pan J, He N, Liu Y, et al. Growing season average temperature range is the optimal choice for Q10 incubation experiments of SOM decomposition[J]. Ecological Indicators, 2022, 145: 109749.
10.Li C, Xiao C, Guenet B, et al. Short-term effects of labile organic C addition on soil microbial response to temperature in a temperate steppe[J]. Soil Biology and Biochemistry, 2022, 167: 108589.
11.Jiang ZX, Bian HF, Xu L, He NP. 2021. Pulse effect of precipitation: spatial patterns and mechanisms of soil carbon emissions. Frontiers in Ecology and Evolution, 9: 673310.
12.Liu Y, Xu L, Zheng S, Chen Z, Cao YQ, Wen XF, He NP. 2021. Temperature sensitivity of soil microbial respiration in soils with lower substrate availability is enhanced more by labile carbon input. Soil Biology and Biochemistry, 154: 108148.
13.Bian HF, Zheng S, Liu Y, Xu L, Chen Z, He NP. 2020. Changes in soil organic matter decomposition rate and its temperature sensitivity along water table gradients in cold-temperate forest swamps. Catena, 194: 104684.
14.Xu M, Wu SS, Jiang ZX, Xu L, Li MX, Bian HF, He NP. 2020. Effect of pulse precipitation on soil CO2 release in different grassland types on the Tibetan Plateau. European Journal of Soil Biology, 101: 103250.
15.Liu Y, He NP, Xu L, Tian J, Gao Y, Zheng S, Wang Q, Wen XF, Xu XL, Yakov K. 2019. A new incubation and measurement approach to estimate the temperature response of soil organic matter decomposition. Soil Biology & Biochemistry, 138, 107596.
16.Yingqiu C, Zhen Z, Li X, et al. Temperature Affects new Carbon Input Utilization By Soil Microbes: Evidence Based on a Rapid δ13C Measurement Technology[J]. Journal of Resources and Ecology, 2019, 10(2): 202-212.
17.Cao Y, Xu L, Zhang Z, et al. Soil microbial metabolic quotient in inner mongolian grasslands: Patterns and influence factors[J]. Chinese Geographical Science, 2019, 29: 1001-1010.
18.Liu Y, He NP, Wen XF, Xu L, Sun XM, Yu GR, Liang LY, Schipper LA. 2018. The optimum temperature of soil microbial respiration: Patterns and controls. Soil Biology and Biochemistry, 121: 35-42.
19.Liu Y, Wen XF, Zhang YH, Tian J, Gao Y, Ostle NJ, Niu SL, Chen SP, Sun XM, He NP. 2018.Widespread asymmetric response of soil heterotrophic respiration to warming and cooling. Science of Total Environment, 635: 423-431.
20.Wang Q, He NP, Xu L, Zhou XH. 2018. Important interaction of chemicals, microbial biomass and dissolved substrates in the diel hysteresis loop of soil heterotrophic respiration. Plant and Soil, 428: 279-290.
21.Wang Q, He NP, Xu L, Zhou XH. 2018. Microbial properties regulate spatial variation in the differences in heterotrophic respiration and its temperature sensitivity between primary and secondary forests from tropical to cold-temperate zones. Agriculture and Forest Meteorology, 262, 81-88.
22.He N P, Liu Y, Xu L, Wen X F, Yu G R, Sun X M. Temperature sensitivity of soil organic matter decomposition:New insights into models of incubation and measurement. Acta Ecologica Sinica, 2018, 38(11): 4045-4051.
23.Li J, He NP, Xu L, Chai H, Liu Y, Wang DL, Wang L, Wei XH, Xue JY, Wen XF, Sun XM. 2017. Asymmetric responses of soil heterotrophic respiration to rising and decreasing temperatures. Soil Biology & Biochemistry, 106: 18-27.
24.Liu Y, He NP, Xu L, Niu SL, Yu GR, Sun XM, Wen XF. 2017. Regional variation in the temperature sensitivity of soil organic matter decomposition in China’s forests and grasslands. Global Change Biology, 23: 3393-3402.
25.Wang Q, He NP*, Liu Y, Li ML, Xu L. 2016. Strong pulse effects of precipitation event on soil microbial respiration in temperate forests. Geoderma, 275: 67-73.
26.Wang Q, He NP, Yu GR, Gao Y, Wen XF, Wang RF, Koerner SE, Yu Q*. 2016. Soil microbial respiration rate and temperature sensitivity along a north-south forest transect in eastern China: Patterns and influencing factors. Journal of Geophysical Research: Biogeosciences, 121: 399-410.
27.He NP, Wang RM, Dai JZ, Gao Y, Wen XF, Yu GR. 2013. Changes in the temperature sensitivity of SOM decomposition with grassland succession: Implications for soil C sequestration. Ecology and Evolution, 3: 5045-5054.
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