摘要
利用遥感与GIS技术提取了滇金丝猴(Rhinopithecus bieti)的现存栖息地、适宜栖息地和破碎化栖息地,分析了空间分布格局与现状。结果表明,在云南滇西北地区,现有滇金丝猴种群生存于白马雪山、攀天阁、老君山、黑山、富合山和龙马山这6片独立的栖息地之中,由于长期以来受人为活动影响,南部的黑山、富合山、龙马山破碎化严重,栖息地面积较小,已接近最小生境面积。白马雪山片区连通性好,老君山次之。攀天阁片区是白马雪山南端生境破碎化形成的,老君山周边区域破碎化严重。南部残存的破碎化栖息地是恢复生境和走廊带栖息的基础,各区域都具有一定的建立走廊带的条件,但仅有老君山到攀天阁的廊带建设较为容易,而南部的其它区域廊带建设较为困难。北部羊拉片区、南部的剑川片区、最南部的苍山片区都是滇金丝猴的适宜栖息地,可作为迁地保护的备选区域。
The Existing habitats, the suitable habitats and the segment habitats of Rhinopithecus bieti have been extracted with the support of the Remote Sensing （RS） and Geographic Information System （GIS） . Results from the spatial analysis show that the current populations of Rhinopithecus bieti are living in areas of Baimaxueshan, Pantiange, Laojunshan, Heishan, Fuheshan and Longmashan. All the 6 isolated habitats are separated each oth- er. For a long time, all the habitats have been influenced by person＇s activities, the areas of Heishan, Fuheshan and Longmashan are fragmented seriously. The connected habitats are getting smaller, and close to the minimum areas for surveying a population. The areas of Baimaxueshan connect well, and areas of Laojunshan so do better. Pantiange areas are nearly separated from the southern areas of Baimaxueshan habitats. There are lots of fragment patches around Laojunshan habitats. The remnant areas from the whole habitat are base for the habitats recovery and ecological corridors constructions. Among all the separated habitats, there are some conditions for corridors constructions. It is easier to build the linkage between Laojunshan and Pantiange. But it is difficult to to build linkages among the southern areas. The habitats of Yangla in north, the areas of Jianchuan in south and the habitats of Cangshan in the uppermost south are suitable habitats for Rhinopithecus bieti., Which are better candidate habitats for ex-situ protect.
出处
《云南地理环境研究》
2008年第3期1-5,F0002,F0003,F0004,共8页
Yunnan Geographic Environment Research
基金
国家科技支撑项目(2006BAD04B0503)
云南省重点基金项目(2002C005Z)
云南省科技攻关项目(2006SG26)资助
关键词
滇金丝猴
栖息地
空间格局
空间分析
Rhinopithecus bieti
habitat
spatial pattern
spatial Analysis
