祁连山国家公园青海片区森林大样地生物多样性特征  

Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park

作　　者：王定晖 索南才让 于红妍 杜岩功[4] WANG Dinghui;SUONAN Cairang;YU Hongyan;DU Yangong(Qinghai Provincial Environmental Engineering Technology Assessment Center,Xining 810008,China;Qinghai Province Forage Technology Promotion Station,Xining 810007,China;Qinghai Service Guarantee Center of Qilian Mountain National Park,Xining 810056,China;Northwest Institute of Plateau Biology,Chinese Academy of Sciences,Xining 810001,China)

机构地区：[1]青海省环境工程技术评估中心,西宁810008 [2]青海省饲草料技术推广站,西宁810007 [3]祁连山国家公园青海服务保障中心,西宁810056 [4]中国科学院西北高原生物研究所,西宁810001

出　　处：《西北植物学报》2024年第12期1973-1979,共7页Acta Botanica Boreali-Occidentalia Sinica

基　　金：国家自然科学基金联合基金项目(U21A20186);祁连山国家公园青海片区森林生态系统监测大样地建设项目。

摘　　要：【目的】通过监测森林大样地植物群落特征的长期动态变化,揭示物种多样性空间格局及维持机制,为该区域的生物多样性保护提供科学依据。【方法】以祁连山区青海云杉林生态系统为研究对象,采用相邻格子法进行大样地乔木植株每木调查,并解析其生物多样性调控因素。【结果】青海云杉林生态系统的乔木总数为35835株,青海云杉和祁连圆柏分别占据57.84%和23.82%。物种丰富度和平均株高分别为3种和10.7 m。Shannon-Wiener指数和Simpson指数分别为0.74和0.43,Shannon-Wiener指数偏低,但Simpson指数较高,存在物种数量集中度较高现象。森林大样地Shannon-Wiener受乔木高度、物种丰富度和Simpson指数的极显著影响。机器学习模型训练集和测试集的决定系数分别为0.95和0.93,均方根误差分别为0.06和0.08,表明模型对Shannon-Wiener指数的解释能力和预测精度均较高。【结论】青海云杉林物种多样性较低且受乔木高度、物种丰富度和Simpson指数的显著影响,其对维持该区域的生物多样性具有重要作用。[Objective]Long-term monitoring of plant community dynamics in large forest plots helps reveal the spatial patterns and underlying mechanisms that sustain species diversity.These insights form a solid scientific foundation for biodiversity conservation in the region.[Methods]Taking the typical forest ecosystem as the research object in the Qinghai area of Qilian Mountain National Park,we used the adjacent grid method to conduct a survey of each tree in a 24 hm2 large sample plot.[Results]There was a total of 35835 trees,of which Picea crassifolia and Juniperus przewalskii accounted for 57.84%and 23.82%,respectively.Species richness and plant height were 3 species and 10.7 m,respectively.Shannon-Wiener and Simpson index of spruce forest were 0.74 and 0.43,respectively,Shannon-Wiener index was relatively low.The Shannon-Wiener index was significantly influenced by tree height,species richness, and Simpson index. As the tree height increased, the Shannon-Wiener was decreased, while the speciesrichness and Simpson index were increased significantly. The coefficients of determination for thetraining and testing sets of the machine learning model were 0.95 and 0.93, respectively, with root meansquare errors of only 0.06 and 0.08. This indicated that the model had a high explanatory power and predictionaccuracy for the Shannon-Wiener data. [Conclusion] The species diversity of the Qinghai spruceforest is relatively low and is significantly influenced by tree height, species richness, and the Simpson index.These factors play a crucial role in maintaining the biodiversity of the region.

关 键 词：祁连山南坡 森林大样地 青海云杉林 物种丰富度 SHANNON-WIENER指数 

分 类 号：Q948.1[生物学—植物学] S718.5[农业科学—林学]