欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报 ›› 2019, Vol. 30 ›› Issue (9): 3046-3056.doi: 10.13287/j.1001-9332.201909.006

• • 上一篇    下一篇

放牧强度对荒漠草原建群种短花针茅空间异质性的影响

张峰, 陈大岭, 赵萌莉*, 郑佳华, 杨阳, 乔荠瑢, 赵天启   

  1. 内蒙古农业大学草原与资源环境学院, 呼和浩特 010019
  • 收稿日期:2019-04-28 出版日期:2019-09-15 发布日期:2019-09-15
  • 通讯作者: * E-mail: nmgmlzh@126.com
  • 作者简介:张峰,男,1994年生,硕士研究生.主要从事草地生态学研究.E-mail:905431228@qq.com
  • 基金资助:
    国家自然科学基金项目(31861143001)资助

Effects of grazing intensity on spatial heterogeneity of the constructive species Stipa breviflora in desert steppe.

ZHANG Feng, CHEN Da-ling, ZHAO Meng-li*, ZHENG Jia-hua, YANG Yang, QIAO Ji-rong, ZHAO Tian-qi   

  1. College of Grassland,Resources and Environment, Inner Mongolia Agricultural University, Hohhot 010019, China
  • Received:2019-04-28 Online:2019-09-15 Published:2019-09-15
  • Contact: * E-mail: nmgmlzh@126.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (31861143001).

摘要: 为探讨不同放牧强度下短花针茅种群密度空间分布的变化特点及差异,本研究以内蒙古四子王旗短花针茅荒漠草原建群物种短花针茅为对象,分析了对照、轻度放牧、中度放牧和重度放牧4块样地短花针茅种群小尺度空间分布异质性.结果表明: 短花针茅种群密度分别为重度放牧(27.81株·m-2)>中度放牧(22.17株·m-2)>对照(11.31株·m-2)>轻度放牧(10.76株·m-2),中度与重度放牧显著增加了短花针茅种群密度;通过半方差函数进行模型拟合,对照、轻度放牧、中度放牧及重度放牧样地短花针茅种群分布分别符合指数模型、球状模型、指数模型和球状模型;通过对短花针茅种群的空间分布格局分析,各样地结构比分别为对照(99.7%)>重度放牧(94.7%)>轻度放牧(92.7%)>中度放牧(87.9%),表明4块草地空间自相关性程度均较高,主要受结构性因素影响,中度放牧草地短花针茅种群结构比最小,受随机性因素影响相对较大;通过分形维数分析,4块草地空间结构良好,空间分布简单,并随着放牧强度增大,空间分布更简单且均质化;结合2D及3D图看,轻度放牧及重度放牧均造成短花针茅种群空间分布从梯度分布变成斑块分布,并使空间异质性降低.

Abstract: This study evaluated the changes of spatial distribution of the constructive species Stipa breviflora in the desert steppe under different grazing intensities (control, light, moderate, and heavy grazing) in Siziwang, Inner Mongolia. The small-scale spatial distribution of S. breviflora was measured. Results showed that population density of S. breviflora was following the order: heavy grazing (27.81 individuals·m-2) > moderate grazing (22.17 individuals·m-2) > control (11.31 individuals·m-2) > light grazing (10.76 individuals·m-2). The moderate and heavy grazing significantly increased population density of S. breviflora. According to the model fitting by semi-variance function, the population density of S. breviflora under the control, light, moderate and heavy gra-zing treatments were consistent with the exponential model, spherical model, exponential model and spherical model, respectively. Results from spatial distribution pattern analysis showed that structural ratio of S. breviflora population was control (99.7%) > heavy grazing (94.7%) > light grazing (92.7%) > moderate grazing (87.9%). Such a result indicated that the spatial autocorrelation of the four treatments was high, which were mainly affected by structural factors. In comparison, S. breviflora population structure ratio under moderate grazing treatment was the smallest, and partly affected by random factors. Based on fractal dimension analysis, spatial structure of the four treatments was good with simple spatial distribution. With the increases of grazing intensity, the spatial distribution was simpler and more homogeneous. Combined with 2D and 3D views, both light and heavy grazing changed spatial distribution of S. breviflora population from gradient distribution to patch distribution and resulted in the reduction of spatial heterogeneity.