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| 拉萨河流域亏组山植物物种丰富度和群落特征研究 |
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古桑群宗1, 拉 多1*, 郭应杰1,4, 向明学1,2, 武俊喜2,3,
潘 影3, 张燕杰3 , 李石胜1, 达文彦1
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1. 西藏大学 理学院生命科学系, 拉萨 850000;2. 中国科学院地理科学与资源研究所 生态系统网络观测与
模拟重点实验室, 北京 100101;3. 中国科学院地理科学与资源研究所, 北京100101;4. 云南省农业科学院 高山经济植物研究所, 云南 丽江, 674100
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| 摘要: |
| 为研究草地植物群落、物种丰富度及其分布格局与影响因子之间的关系,该文以拉萨河流域林周县卡孜乡亏组山为研究地点,对山体垂直样带(3 900～5 100 m)植物群落特征、植物物种丰富度与各影响因子之间的关系进行了研究。研究区域共设置了13个样带(每隔100 m设一个样带),每样带设置0.5 m × 0.5 m的5个样方进行植被调查,运用主成分分析(PCA)和双向指示种分析法(TWINSPAN)对植物群落进行排序和分类,运用冗余分析法(RDA)对群落及其分布格局与影响因子之间的关系进行分析,对植物物种丰富度与各因子之间的关系进行了回归分析。结果表明:该山体植物可分为3个群落类型,含7个群丛; 影响区域植物群落物种组成和分布格局的主要环境因子为海拔,其次是坡度; 物种丰富度与海拔、分种盖度呈单峰关系,与总盖度、坡度、地上生物量呈正相关。该研究结果为区域植物物种多样性和山地植物资源的保护和可持续利用提供了科学依据。 |
| 关键词: 物种丰富度, 环境因子, 分类, 排序, 群落结构, 亏组山 |
| DOI：10.11931/guihaia.gxzw201904014 |
| 分类号:Q948 |
| 文章编号:1000-3142(2021)03-0372-12 |
| Fund project:国家重点研发计划项目(2016YFC0502004-5); 西藏大学研究生高水平人才培养项目(2017-GSP-111); 西藏科技重大专项(XZ201801NA02)[ Supported by the National Key Research and Development Program of China(2016YFC0502004-5); High-Level Talents Training Program in Tibet University(2017-GSP-111); Key Program of Science and Technology for Tibet, China(XZ201801NA02)]。 |
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| Plant species richness and community characteristics at Kuizu Mountain, Lhasa River basin |
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GUSANG Qunzong1, LA Duo1*, GUO Yingjie1,4, XIANG Mingxue1,2, WU Junxi2,3,
PAN Ying2,3, ZHANG Yanjie3, LI Shisheng1, DA Wenyan1
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1. Department of Biology, Tibet University, Lhasa 850000, China;2. Key Laboratory of Ecosystem Network Observation and Modeling, Institute
of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;3. Institute of Geographic
Sciences and Resources, Chinese Academy of Sciences, Beijing 100101, China;4. Yunnan Provincial Academy of Agricultural
Sciences of Alpine Economic Plant Research Institute, Lijiang 674100, Yunnan, China
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| Abstract: |
| In order to study the relationship between grassland plant community, species richness, its distribution pattern and their influencing variables. Taking the Kuizu Mountain in Lhasa Basin as the study area, the plant community structure, species richness along the altitudinal gradient and their relationships with influential variables were studied. A total of 13 sample plots were set up at every 100 m altitude with five samples of 0.5 m × 0.5 m at each plot in the study area for vegetation survey. The plant community structure and distribution were analyzed by using TWINSPAN(two-way indicator species analysis)and PCA(principal component analysis). RDA(redundancy analysis)was played to analyze the correlations between plant community structure, distribution and environmental variables(altitude, slope). The regression analysis was used to analyze the correlations between species richness and abiotic(altitude, slope)and biotic(total coverage, separate coverage and aboveground biomass)variables. PCA and TWINSPAN results showed that the vegetation in the study area was divided into three communities including seven plant associations. The results of RDA showed that altitude was the main variable influencing the plant community composition and its distribution pattern followed by slope in the study area. The results of regression analysis showed that the species richness had a single-peak relationship with altitude and separate coverage, and was positively correlated with total coverage, slope and aboveground biomass. This study provides a scientific baseline for the conservation of plant species diversity and sustainable utilization of mountain plant resources in the study area. |
| Key words: species richness, environmental factor, TWINSPAN, PCA, community structure, Kuizu Mountain |
