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Effect of environmental and biotic factors on net ecosystem CO2 exchange over a coastal wetland in the Yellow River Delta.

CHU Xiao-jing1,2, HAN Guang-xuan1*, ZHU Shu-yu3, LYU Juan-zhang3, YU Jun-bao4#br#   

  1. (1Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Chinese Academy of Sciences, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, Shandong, China; 2University of Chinese Academy of Sciences, Beijing 100049, China; 3Administration Bureau of the Yellow River Delta National Nature Reserve, Dongying 257091, Shandong, China; 4College of Geography and Planning, Ludong University, Yantai 264025, Shandong, China).
  • Online:2016-07-18

Abstract: Using the eddy covariance technique, we measured the net  ecosystem CO2 exchange (NEE) and its environmental and biotic factors over a coastal wetland in the Yellow River Delta to investigate the diurnal and seasonal variation in NEE and quantify the effect of environmental and biotic factors on NEE. The results showed that the diurnal change of NEE showed a distinct Ushaped curve during the growing season, but not with substantial variation in its amplitude during the nongrowing season. During the growing season, the wetland acted as a significant net sink for CO2, while it became carbon source during the nongrowing season. On the scale of a whole year, the wetland functioned as a strong carbon sink of -247 g C·m-2. Daytime NEE was mainly dominated by photosynthetically active radiation (PAR). Apparent quantum yield (α) and daytime respiration of ecosystem (Reco,d) reached maximum in August, while maximum photosynthesis rate (Amax) reached its maximum in July. Nighttime NEE had an exponential relationship with air temperature (Ta). The mean value of temperature sensibility coefficient (Q10) was 2.5, and it was positively related to soil water content (SWC). During the nongrowing season, NEE was negatively correlated with net radiation (Rn), but not with other environmental factors significantly. However, during the growing season NEE was significantly correlated with Rn, Ta, soil temperature at 10 cm depth (Ts 10) and leaf area index (LAI), but not with aboveground biomass (AGB). Stepwise multiple regression analysis indicated that Rn and LAI explained 52% of the variation in NEE during the growing season.

Key words: temperature sensibility coefficient (Q10), light response, temperature response, environmental factors., net CO2 ecosystem exchange (NEE), biotic factors