Plant and Soil

, Volume 295, Issue 1–2, pp 137–150 | Cite as

Spatial heterogeneity of soil nitrogen in a subtropical forest in China

Regular Article

Abstract

Spatial variability of soil total nitrogen (N), available N (KCl extractable NH4+ and NO3), and spatial patterns of N mineralization and nitrification at a stand scale were characterized with geostatistical and univariate analysis. Two extensive soil spatial samplings were conducted in an evergreen broadleaf forest in Sichuan province, southwestern China in June and August 2000. In a study area of 90 × 105 m2, three soil samples were collected from each 5 × 5 m2 plot (n = 378) in June and August, and were analyzed for total N and available N contents. Net N mineralization and nitrification were measured by in situ core incubation and the rates were estimated based on the difference of NH4+ and NO3 contents between the two sampling dates. Total N, NH4+, and NO3 were all spatially structured with different semivariogram ranges (from high to low: NH4+, NO3, and total N). The semivariograms of mineralization and nitrification were not as spatially structured as available N. NH4+ was the dominant soil inorganic N form in the system. Both NH4+ and NO3 affected spatial patterns of soil available N, but their relative importance switched in August, probably due to high nitrification as indicated by greatly increased soil NO3 content. High spatial auto-correlations (>0.7) were found between available N and NH4+, available N and NO3 on both sampling dates, as well as total N measurements between both sampling dates. Although significant, the spatial auto-correlation between NH4+ and NO3 were generally low. Topography had significant but low correlations with mineralization (r = −0.16) and nitrification (r = −0.14), while soil moisture did not. The large nugget values of the calculated semivariograms and high-semivariance values, particularly for mineralization and nitrification, indicate that some fine scale (<5 m) variability may lie below the threshold for detection in this study.

Keywords

Available N Heterogeneity Spatial pattern Total N 

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Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • Lixin Wang
    • 1
    • 2
  • Paul P. Mou
    • 3
  • Jianhui Huang
    • 1
  • Jin Wang
    • 1
    • 2
  1. 1.Laboratory of Quantitative Vegetation Ecology, Institute of Botany The Chinese Academy of SciencesBeijingChina
  2. 2.Department of Environmental SciencesUniversity of VirginiaCharlottesvilleUSA
  3. 3.College of Life SciencesBeijing Normal UniversityBeijingChina

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