4.7 Article

Seasonal and diurnal dynamics of soil respiration fluxes in two typical forests on the semiarid Loess Plateau of China: Temperature sensitivities of autotrophs and heterotrophs and analyses of integrated driving factors

Journal

SOIL BIOLOGY & BIOCHEMISTRY
Volume 52, Issue -, Pages 99-107

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.soilbio.2012.04.020

Keywords

Autotrophic respiration; CO2 efflux; Heterotrophic respiration; Q(10); Semiarid forest

Categories

Funding

  1. Chinese Academy of Sciences [XDA05050202]
  2. West Light Foundation

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Partitioning of total soil respiration (R-T) into autotrophic (R-A) and heterotrophic (R-H) components was undertaken in two typical (natural and artificial) forests on the temperate, semiarid Loess Plateau of China, to determine and compare temperature sensitivities between the two components. The natural secondary forest was dominated by oak (Quercus liaotungensis) while the artificial forest was a plantation of black locust (Robinia pseudoacacia). Soil CO2 efflux and different abiotic and biotic factors were measured during dormant and growing seasons. Temperature sensitivities of soil respiration components were investigated using the Q(10) function at diurnal and seasonal scales. The temperature sensitivities of autotrophic (R-A) and heterotrophic (R-H) respiration varied with the time scales (daily, seasonal, or annual) of the investigation, and were affected by other biological and environmental factors. The largest contribution of R-A to R-T was 46% in the oak forest and 60% in the black locust plantation during the growing season. During the dormant season it was as low as 12% in the oak forest and 6% in the black locust plantation. The Q(10) of R-A for the black locust plantation was higher than for the oak forest during the growing season, but was lower during the dormant season. The Q(10) of R-A in both forests was higher than that of R-H at both diurnal and seasonal scales. Multiple regression analyses suggested that photosynthesis is an important parameter in soil respiration studies and that a multiple-factor model may be more suitable during the annual periods. (C) 2012 Elsevier Ltd. All rights reserved.

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