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A short-term experiment on vegetation restoration in Baijianghe peatland of Changbai Mountains.

LIU Yu1,2,3,4, YANG Pan-pan1,2,3,4, BU Zhao-jun1,2,3,4*, WANG Sheng-zhong1,2,3,4*, LIU Chao1,2,3, LU Fan1,2,3, CHEN Yong-da1,2,3   

  1. (1Institute for Peat and MireResearch, School of Geographical Sciences, Northeast Normal University, Changchun 130024, China; 2Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, Changchun 130024, China; 3State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Changchun 130024, China; 4Jilin Provincial Key Laboratory for Wetland Ecological Processes and Environmental Change in the Changbai Mountains, Changchun 130024, China).
  • Online:2019-07-10 Published:2019-07-10

Abstract: Peatlands are one of the major carbon sinks in global terrestrial ecosystems, where Sphagnum is the most important contributor to carbon sequestration, but are faced with degradation over large parts of the world. In this study, an experimental restoration was performed in a drained and degraded part of Baijianghe peatland, Changbai Mountains, which had seen a recent dramatic loss of Sphagnum with the cover of Potentilla fruticosa reaching almost 100%. Experimental treatments included rewetting by ditch blocking (three water table depths), dwarf shrub removal (0, 50% or 90% removed) and Sphagnumpropagule spreading (three densities). The results showed that Sphagnum cover increased with increasing water table. When transplantation density (ratio of surface collected to surface restored) was no more than 1∶10, the cover of Sphagnum increased with transplantation density. Only at a high water table (5-30 cm), a high dwarf shrub cover led to an increase in Sphagnum cover. Results from this shortterm study suggests that the restoration efficiency of drained peatlands will be enhanced when sufficient amounts of Sphagnum propagule are transplanted and appropriate removal of dwarf shrubs are performed on the basis of raising water level.

Key words: soil-landscape model, simulated annealing, multilayer perception, sampling layout optimization.