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• 方法与技术 • 上一篇    

科尔沁沙地生态防护体系防护效应评价

周全来1**,杨弘1,蒋德明1,阿拉木萨1,李雪华1,押田敏雄2   

  1. (1中国科学院沈阳应用生态研究所, 沈阳 110016; 2日本麻布大学兽医学部, 相模原 252-5201)
  • 出版日期:2013-03-10 发布日期:2013-03-10

Effect evaluation of various protective systems in the Horqin Sand Land.

ZHOU Quan-lai1**, YANG Hong1, JIANG De-ming1, ALAMUSA1, LI Xue-hua1, Toshio Oshid2   

  1. (1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 2Azabu University, Sagamihara 252-5201, Japan)
  • Online:2013-03-10 Published:2013-03-10

摘要:

以科尔沁沙地乌兰敖都村为研究对象,通过对研究区6类主要土地利用类型的6项评价指标建立层次结构模型,运用层次分析法(AHP法),对研究区6类土地利用类型生态防护体系防护效应进行科学评价。防护效应得分情况为:乔木林地0.263、灌木林地0.170、草场0.206、固定沙丘0.169、半固定沙丘0.103和流动沙丘0.088,以不同土地利用类型占全区总面积的比例为权重,计算研究区生态防护体系防护效应总体得分为0.133,仅为乔木林地生态防护体系防护效应得分的50.6%,通过绿化造林和防风固沙等措施,研究区相对防护效应理论上可提高至67.2%。而受气候、土壤和人类干扰等多种因素影响,科尔沁沙地生态防护体系防护效应仍处于较低水平。面临生态环境建设与国家政策和地区经济发展之间的矛盾,提高沙地防护体系防护效应是长期而艰巨的任务。
 

关键词: 地上生物量, 机载激光雷达, 估测, 中亚热带森林

Abstract: We evaluated protection effects of ecological protection systems in six land use types at Wulanaodu village in the Horqin Sand Land. Analytic hierarchy process (AHP) was used with six evaluation indices by building AHP model. The evaluation scores of the six land use types were 0.263, 0.170, 0.206, 0.169, 0.103 and 0.088 in forest land, shrub land, grass land, fixed dune, semi-fixed dune and active dune, respectively. By using the ratio of areas of different land use types to the total area as weights of evaluation score of the six land use types, the overall score of protection effect in the study area was 0.133, only 50.6% of the score in forest land. Theoretically, the score of total area could be increased to 67.2% of score of forest land by forestation and sand dune stabilization. However, the protection effects of ecological protection systems in the Horqin Sand Land were low due to influences of climate, soil and human activities. Therefore, we have a long way to go in enhancing protective effects of the various systems when we are facing a serious contradiction between ecological construction and national policies and  economic development.

Key words: aboveground biomass, airborne LiDAR, estimation, mid-subtropical forest.