4.2 Article

Nitrogen cycle of a typical Suaeda salsa marsh ecosystem in the Yellow River estuary

期刊

JOURNAL OF ENVIRONMENTAL SCIENCES
卷 23, 期 6, 页码 958-967

出版社

SCIENCE PRESS
DOI: 10.1016/S1001-0742(10)60530-X

关键词

compartment model; nitrogen biological cycle; Suaeda salsa; Yellow River estuary

资金

  1. Chinese Academy of Sciences [KZCX2-YW-223]
  2. National Natural Science Foundation of China [40803023, 40806048]
  3. Natural Science Foundation of Shandong Province [ZR2010DZ001]
  4. Talents Foundation of the Chinese Academy of Sciences [AJ0809BX-036]
  5. Open Research Foundation of Key Laboratory of China Oceanic Administration for Coast Ecology and Environment [200906]

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The nitrogen (N) biological cycle of the Suaeda salsa marsh ecosystem in the Yellow River estuary was studied during 2008 to 2009. Results showed that soil N had significant seasonal fluctuations and vertical distribution. The N/P ratio (15.73 +/- 1.77) of S. salsa was less than 16, indicating that plant growth was limited by both N and P. The N absorption coefficient of S. salsa was very low (0.007), while the N utilization and cycle coefficients were high (0.824 and 0.331, respectively). The N turnover among compartments of S. salsa marsh showed that N uptake from aboveground parts and roots were 2.539 and 0.622 g/m(2), respectively. The N translocation from aboveground parts to roots and from roots to soil were 2.042 and 0.076 g/m(2), respectively. The N translocation from aboveground living bodies to litter was 0.497 g/m(2), the annual N return from litter to soil was far less than 0.368 g/m(2), and the net N mineralization in topsoil during the growing season was 0.033 g/m(2). N was an important limiting factor in S. salsa marsh, and the ecosystem was classified as unstable and vulnerable. S. salsa was seemingly well adapted to the low-nutrient status and vulnerable habitat, and the nutrient enrichment due to N import from the Yellow River estuary would be a potential threat to the S. salsa marsh. Excessive nutrient loading might favor invasive species and induce severe long-term degradation of the ecosystem if human intervention measures were not taken. The N quantitative relationships determined in our study might provide a scientific basis for the establishment of effective measures.

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