Literature DB >> 15852957

[Soil nitrogen mineralization under different land use patterns in Xishuangbanna].

Mingrui Li1, Liqing Sha.   

Abstract

Nitrogen (N) cycle is very important for forest ecosystem, and soil N mineralization rate is often used as the index of soil N availability and its losses. Using Close-Top incubation method, we measured the N mineralization rate in soils (0-15 cm) of monsoon evergreen broadleaf forest, seasonal rain forest, rubber plantation, heavily disturbed seasonal rain forest, Millettia laptobotrya secondary forest and upland rice field. The results showed that the net N mineralization rate and N nitrification rate were decreased in the sequence of heavily disturbed seasonal rain forest > Millettia laptobotrya secondary forest > seasonal rain forest > monsoon evergreen broadleaf forest > rubber plantation > upland rice field. Rubber plantation and upland rice field were the most seriously disturbed land use patterns. Their soil N storage and mineralization rate were very low and exhibited significant variations, compared with other land use patterns. Lower net N mineralization rate correlated with lower N storage, and also, with lower fungi numbers. The N mineralization rate in disturbed forest soil which had recovered for several years was similar to that in primary forest soil, but decreased significantly when the forests were converted to agricultural land.

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Year:  2005        PMID: 15852957

Source DB:  PubMed          Journal:  Ying Yong Sheng Tai Xue Bao        ISSN: 1001-9332


  2 in total

1.  Impact of land use and land cover changes on ecosystem services in Menglun, Xishuangbanna, Southwest China.

Authors:  Huabin Hu; Wenjun Liu; Min Cao
Journal:  Environ Monit Assess       Date:  2007-12-20       Impact factor: 2.513

2.  Soil changes induced by rubber and tea plantation establishment: comparison with tropical rain forest soil in Xishuangbanna, SW China.

Authors:  Hongmei Li; Youxin Ma; Wenjie Liu; Wenjun Liu
Journal:  Environ Manage       Date:  2012-09-18       Impact factor: 3.266

  2 in total

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