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流域尺度山区景观格局垂直分异研究 被引量:3
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作者 李乐 齐伟 +4 位作者 张新花 曲衍波 姚小立 王丹 闫勇 《农业现代化研究》 CSCD 北大核心 2009年第2期207-211,共5页
本文选取山东省栖霞市内一个典型流域作为研究区,通过选取典型等高线提取附近的景观类型来研究山区景观垂直分异特征,避免以往利用高程带或坡度带进行山区景观格局分析时造成的斑块分割;同时采取坡度分级说明坡度对景观格局分布的影响... 本文选取山东省栖霞市内一个典型流域作为研究区,通过选取典型等高线提取附近的景观类型来研究山区景观垂直分异特征,避免以往利用高程带或坡度带进行山区景观格局分析时造成的斑块分割;同时采取坡度分级说明坡度对景观格局分布的影响。研究结果显示:在0-6°坡度范围内,水域和建设用地占据主导位置,在>25°主要景观类型为未利用地,这两个坡度带的景观聚集程度最高,景观类型多呈现连片分布;6-25°坡度带为草坡地、林地、园地和耕地主要分布区域,且这个区域的景观破碎化程度最高;228m等高线附近的景观类型破碎化程度最高、形状最为复杂,是人类活动为主导影响向自然因素为主导影响的过渡区域。在海拔较低区域,由于人类不断对景观格局的优化,景观表现出一定的聚集性和规则化。 展开更多
关键词 山区景观格局 垂直分异 数字高程模型 流域
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Spatial connectivity and distribution of landscape type in the natural secondary forests of eastern mountainous region,northeast China——a case study of Mao'ershan region in Heilongjiang Province
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作者 李淑娟 隋玉正 +2 位作者 冯海清 王凤友 李玉文 《Journal of Forestry Research》 SCIE CAS CSCD 2004年第2期141-144,i003,共5页
Mao'ershan region is representative in the natural secondary forested region of the eastern mountainous region, northeast China. The landscape nearest neighbor index and landscape connectivity index were calculate... Mao'ershan region is representative in the natural secondary forested region of the eastern mountainous region, northeast China. The landscape nearest neighbor index and landscape connectivity index were calculated with ARC/INFO software for Mao'ershan region. The spatial distribution of the landscape of the region was analyzed. The results showed that the landscape connectivity index of non-woodland was significantly higher than that of woodland. The landscape connectivity index of natural forest was nearly equal to zero, which means its fragmentation degree is high. The nearest neighbor index of plantation was lower than that of natural forest and non-forestland. Among the man-made forests, the distance index of the coniferous mixed plantation is the lowest, and its pattern is nearly glomeration. The landscape pattern of natural forest presented nearly random distribution. Among non-forest land, the distance index of cut blank was the lowest, and its pattern was also nearly glomeration. Keywords Landscape type - Landscape pattern - Nearest neighbor index - Landscape connectivity index - Natural secondary forest - Northeast China CLC number S759.92 Document code A Foundation item: This paper was supported by the Key Project of State Department of Science Technology (2002BA515B040).Biography: LI SHu-juan (1977), female. Lecture in Ocean University of China, Qingdao 266003, P. R. China.Responsible editor: Zhu Hong 展开更多
关键词 Landscape type Landscape pattern Nearest neighbor index Landscape connectivity index Natural secondary forest Northeast China
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Landscape pattern and its restoration for coal mine subsidence area in southern part of Tangshan in China
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作者 陈颖 张铁民 +3 位作者 边录丰 薄力杰 崔建宇 胡林 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2009年第3期303-308,共6页
To investigate the ecosystem damage and environment pollution resulted from coal resources exploitation,based on remote sensing image,the landscape pattern was quantitatively analyzed with GIS and landscape pattern an... To investigate the ecosystem damage and environment pollution resulted from coal resources exploitation,based on remote sensing image,the landscape pattern was quantitatively analyzed with GIS and landscape pattern analysis software FRAGSTATS by utilizing multiform landscape pattern indexes,such as patch area,patch circumference,patch number,fractal dimension,fragmentation index,connectivity index and so on. Results indicate that the restored landscape type occupies the control status and accounts for the majority of the whole area,and needs to be further restored and adjusted because of its internal body with smaller patches,lower fractal dimension and better connectivity. The landscape type without restoration has destroyed the ecology and beauty of the whole landscape. In addition,some suggestive instructions for restoring various kinds of patches are put forward according to the quantitative analysis. 展开更多
关键词 coal mine subsidence area landscape pattern ecological restoration southern part of Tangshan
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