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冀北山区森林景观结构特征研究

作  者:
荣誉;张荣风;刘阳;杨新兵
单  位:
北农业大学林学院;中国环境管理干部学院
关键词:
冀北山区;森林景观;斑块;景观多样性
摘  要:
以冀北山区木兰林管局北沟林场的森林景观为研究对象,在森林景观分类的基础上,计算了森林景观斑块面积、斑块周长、分形维数、景观多样性等特征参数。结果表明:研究区森林景观类型为8类,共235个斑块,斑块总面积为1 634.12hm2,景观斑块分形维数人工华北落叶松林最大(1.990 3),人工针叶混交林最小(1.115 9);景观多样性指数人工针叶混交林最大(8.662 8),天然针叶混交林最小(2.143 2);景观优势度指数天然油松林最大,为0.646 7,人工华北落叶松林最小,为0.108 3;景观均匀度指数人工针叶混交林最大,为0.961 7,天然针叶混交林最小,为0.531 2;斑块密度天然阔叶混交林景观类型最大(0.312 5),天然柞树林最小(0.118 3)。研究结果可以为景观尺度的森林健康近自然经营提供数据支撑。
译  名:
Study on Forest Landscape Structural Characteristics in North Mountains of Hebei Province
作  者:
RONG Yu1,ZHANG Rongfeng2,LIU Yang2,YANG Xinbing2(1.Environmental Management College of China,Qinhuangdao,066004,Hebei Province,China;2.College of Forestly,Agricultural University of Hebei,Baoding,071000,China)
关键词:
North Mountains of Hebei,forest landscape,plaque,landscape diversity
摘  要:
This paper,taking as a study object the forest landscape in Beigou Forest farms of Mulan Forest Administration of Northern mountains of Hebei and based on forest landscape classification,calculated the area of the forest landscape patches,patch perimeter,fractal dimension,such as landscape diversity characteristic parameters.Results showed that the forest of landscape has 8 types in the study area with a total of 235 plaques,spot block total area is 1634.12hm2,landscape spot block min shaped dimension number of artificial North larch forest is maximal(1.9903),artificial conifer mixed forest minimal(1.1159),landscape diversity index of artificial conifer mixed forest maximal(8.6628),natural conifer mixed forest minimal(2.1432),landscape advantage degrees index natural of Pinus tabulaeformis forest landscape type maximal(0.6467),artificial North larch forest landscape minimal(0.1083),landscape uniform degree index artificial conifer mixed forest landscape type maximal(0.9617),natural conifer mixed forest minimal(0.5312);spot block density of natural mixed broad-leaf forest landscape maximal(0.3125) and natural oaktrees minimal(0.1183).Research results can provide management support data for the near-natural landscape-scale forest health.

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