干热河谷蝗虫群落海拔分布格局及其驱动机制探究−以永仁地区为例

Study on the elevation distribution pattern and driving mechanism of locust community in dry and hot valley: a case study in Yongren area

  • 摘要: 本文于2022年6月至9月在金沙江流域永仁地区1 200 m~2 400 m海拔范围内,使用扫网法以设置的84样地采集蝗总科昆虫数据为基础,分析物种多样性指数(物种丰富度、多度、Shannon多样性指数、Chao-1指数)在海拔梯度下的格局,以及分析其影响群落分布的主要因素. 旨在探讨干热河谷地区不同海拔段蝗虫群落的多样性和群落结构差异,揭示在海拔格局下蝗虫群落分布格局的驱动机制. 结果表明,(1)物种组成:共采集蝗虫1094头鉴定出49种,隶属于6科34属. (2)分布格局:不同海拔段间物种丰富度、多度、Shannon指数和Chao-1指数均存在显著差异(P<0.05),且多样性指数均随着海拔梯度升高均呈下降趋势. 蝗虫群落结构在不同海拔梯度下存在显著差异,其中高海拔段Ⅳ(2 100 m~2 400 m)显著区别于其余海拔段. (3)影响因子探讨:典范对应分析(CCA)分析表明温度因子、降水因子和土地利用是驱动群落分布格局的关键非生物因子,同时方差分解进一步表明了温度、降水、土壤和土地利用具有不同程度的影响效果. 综上, 金沙江干热河谷地区,蝗虫物种多样性和群落结构在不同海拔段差异显著,温度、降水和土地利用是驱动群落分布格局的主要因子.

     

    Abstract: In this paper, the survey data of 84 Locust insects in Yongren area of Jinsha River Basin from June to September 2022 were collected by sweeping nets at an altitude range of 1 200 m to 2 400 m, and the pattern of species diversity index(species richness, abundance, Shannon diversity index, Chao-1 index)under the altitude gradient was analyzed. The main factors influencing the distribution of the communities were also analysed. The aim of this study was to explore the diversity and community structure of locust communities at different altitudes in the dry-hot valley, and to reveal the driving mechanism of locust community distribution pattern under the altitude pattern. The results showed that (1) Species composition: A total of 1094 locusts were collected and 49 species were identified, belonging to 6 families and 34 genera. (2) Distribution pattern: There were significant differences in species richness, abundance, Shannon's index and Chao-1 index among different elevation segments (P<0.05), and the diversity index showed a decreasing trend with the elevation gradient. There were significant differences in locust community structure among different elevation gradients, among which the high elevation segment Ⅳ was significantly different from the other elevation segments. (3) Discussion of influencing factors: Canonical Correspondence Analysis (CCA) analysis showed that temperature factor, precipitation factor and land use were the main abiotic factors influencing the community distribution pattern, while variance decomposition further showed that temperature, precipitation, soil and land use had different degrees of influence. In conclusion, locust species diversity and community structure of locust were significantly different at different altitudes in the dry-hot valley area of the Jinsha River. Temperature, precipitation and land use were the main factors determining the community distribution pattern.

     

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