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Response of soil respiration to temperature and soil moisture under different land use types in a desert-oasis region, northwest China.

FU Li1, ZHANG Yong-yong2*, ZHAO Wen-zhi2   

  1. (1College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China; 2Linze Inland River Basin Research Station, Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences,  Lanzhou 730000, China).
  • Online:2018-09-10 Published:2018-09-10

Abstract: Clarifying the sensitivity of soil respiration to the variation of temperature and moisture in the desert-oasis region would be a great contribution to understanding soil carbon cycling in arid and semiarid areas. In this study, we measured soil respiration using LI8100 Soil Respiration Observation System as well as air temperature, soil temperature, and soil moisture under three different land use types (Haloxylon ammodendron plantation, oasis cropland, and poplar plantation) in a desert-oasis region of Northwest China. The annual mean soil respiration was in order ofH.ammodendron plantation (0.40 μmol CO2·m-2·s-1) < oasis cropland (1.61 μmol CO2·m-2·s-1) < poplar plantation (2.20 μmol CO2·m-2·s-1), which was mainly driven by soil organic carbon content. The relationship between soil temperature and soil respiration was fitted by the Lloyd-Taylor model. Soil respiration in all those ecosystems was more sensitive to lower temperature (non-growing season) than higher temperature (growing season). At yearround scale, soil respiration in the three ecosystems was positively correlated with soil temperature (P<0.01). Furthermore, soil respiration in the H. ammodendron plantation and oasis cropland was positively correlated with soil moisture (P<0.01). Soil respiration in the poplar plantation was positively correlated with soil moisture when it was below 6%, but was negatively correlated with soil moisture when it was above 6%. Our results provide basic data for soil carbon cycling in the desertoasis region.

Key words: k-NN method, domestic high-resolution satellite data, interpretation mark, forest vegetation carbon storage