Partitioning sources of ecosystem and soil respiration in an alpine meadow of Tibet Plateau using regression method

• Autorzy: Fu G. , Zhang X.-Z. , Zhou Y.-T. , Yu C.-Q. , Shen Z.-X.
• Języki publikacji: EN

Abstrakty

EN

Partitioning sources of ecosystem and soil respiration (R_eco and R_s) is important for understanding how climate change affects carbon cycling. Plant and microbial biomass analyses and daytime measurements of R_eco and R_s were performed for 25 plots in an alpine meadow at elevation 4313 m on the Tibetan Plateau. Plant and microbial biomass were determined by harvesting method and the chloroform fumigation-extraction method, respectively. Respiration fluxes were measured by an automated CO₂ flux system (LI-8100, LI-COR Biosciences, Lincoln, NE, USA). Soil respiration can be estimated by a linear or exponential relationship between R_eco and aboveground plant biomass (AGB). Microbial respiration (R_m) can be estimated by a linear or exponential relationship between R_s and belowground plant biomass (BGB) or by a multiple relationship between R_eco and AGB and BGB. Soil respiration (or R_m) is respiration flux when AGB (or BGB) is extrapolated to zero for the linear and exponential regression methods. Similarly, R_m is respiration flux when both AGB and BGB are zero for the multiple regression method. Our findings suggest that the exponential regression method to partition sources of R_eco and R_s may be more appropriate compared to other methods for this alpine meadow of Tibet.

Słowa kluczowe

EN

exponential relationship; linear relationship; microbial respiration; plant respiration; Tibetan Plateau

PL

zależność wykładnicza; zależność liniowa; oddychanie drobnoustrojów; oddychanie roślin; Wyżyna Tybetańska

• Wydawca: Museum and Institute of Zoology, Polish Academy of Sciences
• Czasopismo: Polish Journal of Ecology
• Rocznik: 2014
• Tom: Vol. 62, nr 1
• Strony: 17--24
• Opis fizyczny: Bibliogr. 27 poz., il.

Twórcy

autor

Fu G.

• Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

autor

Zhang X.-Z.

• Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

autor

Zhou Y.-T.

• Department of Microbiology and Plant Botany, Center for Spatial Analysis, University of Oklahoma, Norman, Oklahoma 73019, USA

autor

Yu C.-Q.

• Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

autor

Shen Z.-X.

• Lhasa Plateau Ecosystem Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

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