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冀北沙荒地退化程度诊断及其短期封育效果评价
引用本文:纪晓林,殷晓洁,卢金平,刘琳,李玉灵.冀北沙荒地退化程度诊断及其短期封育效果评价[J].河北林果研究,2011(4):340-344.
作者姓名:纪晓林  殷晓洁  卢金平  刘琳  李玉灵
作者单位:河北省木兰围场国有林场管理局;河北农业大学林学院
基金项目:国家林业局948引进项目(2009-4-29);国家林业局林业公益性行业科研专项项目;冀北防风固沙林优化经营调控技术研究(201104104);河北省留学回国人员科研活动启动基金(2006-29)
摘    要:以冀北退化沙荒地为研究对象,以恢复生态学为研究理论基础,对冀北沙荒地各项指标进行权重赋值,诊断沙荒地的退化程度,并通过分析封育区、未封育区及其地带植被演替顶级群落的土壤理化性质和植被数量特征,评价5年封育效果。结果表明,沙荒地封育区及未封育区均属中度退化程度,沙荒地土壤状况尚未因为5年的封育得到明显改善;植被状况虽有明显改善,但还处在演替初期的草本植被阶段,与地带植被演替顶级群落仍存在很大差距,封育措施需要持续下去。

关 键 词:沙荒地  退化程度诊断  封山育林

Diagnosis of the degradation degree of ecosystem of sandy badland in northern Hebei Province and effects of short-term land-closing for reforestation
JI Xiao-lin,YIN Xiao-jie,LU Jin-ping,LIU Lin,LI Yu-ling.Diagnosis of the degradation degree of ecosystem of sandy badland in northern Hebei Province and effects of short-term land-closing for reforestation[J].Hebei Journal of Forestry and Orchard Research,2011(4):340-344.
Authors:JI Xiao-lin  YIN Xiao-jie  LU Jin-ping  LIU Lin  LI Yu-ling
Institution:1 Mulanweichang State Forestry Management Bureau of Hebei,Weichang 068450,China;2 College of Forestiry,Agricultural University of Hebei,Baoding 071001,China)
Abstract:A degraded ecosystem of sandy badland in village Nanshanzui in northern Hebei Province was studied based on theories of restoration ecology.we analysed the data of soil and plants mensurated in the sandy badland with its contrast indexes assigned by weighting coefficient in combination with the characters of the sandy badland,and then the degradation degree of the ecosystem was diagnosised.The result showed that 1.soil conditions did not become bettered even 5 years after closing the land for reforestation;2.plant condition became much better in the area of closing the land for reforestation,but its total contition was still much worse than Ck;3.The ecosystem of the sandy badland showed a moderate degree of degradation therefore,closing the land for reforestation should stay the course.
Keywords:the sandy badland  diagnosis of the degradation degree  closing the land for reforestation
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