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[中国白音华矿区草原群落主要物种组成及空间分布]

[Composition and spatial distribution of main species in grassland community of Baiyinhua mining area, China].

作者信息

Chun Feng, Bao Gang, Zhang Wei-Qing, Sai Xiyalatu

机构信息

College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2020 Oct;31(10):3395-3403. doi: 10.13287/j.1001-9332.202010.010.

Abstract

We analyzed composition and spatial distribution of main species in the surrounding grassland of Baiyinhua mining area in Inner Mongolia. The results showed that there were 55 plant species in the grassland, with dominant species being , , and , and common species being , , and . The accumulative relative importance value of those six species was 79.6%, with their densities being 26.6, 204.7, 105.4, 107.1, 68.2 and 55.1 individuals·m, respectively. The population density of those six species was modeled by the semi-variance function. The population distribution was in accordance with the exponential model, exponential model, exponential model, spherical model, linear model and Gaussian model, respectively. Through analyzing the spatial distribution pattern, structure ratios were 59.2%, 97.2%, 89.1%, 94.5%, 62.6% and 72.1%, respectively. The spatial autocorrelation of , and populations was mainly affected by structural factors, whereas , and were mainly affected by random factors. According to results from the fractal dimension analysis, population distribution patterns of , , and were simple, and the spatial dependence was strong. Both and showed contrasting patterns with those four species. From 2D and 3D images, and showed gradient diffusion, while , , and showed patch distribution. The results showed that the spatial distribution of the main species in this grassland community did not correlate with mining.

摘要

我们分析了内蒙古白音华矿区周边草地主要物种的组成和空间分布。结果表明,该草地有55种植物,优势种为 、 和 ,常见种为 、 和 。这6个物种的累计相对重要值为79.6%,其密度分别为26.6、204.7、105.4、107.1、68.2和55.1株·m。用半方差函数对这6个物种的种群密度进行建模。种群分布分别符合指数模型、指数模型、指数模型、球状模型、线性模型和高斯模型。通过分析空间分布格局,结构比分别为59.2%、97.2%、89.1%、94.5%、62.6%和72.1%。 、 和 种群的空间自相关主要受结构因素影响,而 、 和 主要受随机因素影响。根据分形维数分析结果, 、 、 和 的种群分布格局简单,空间依赖性强。 和 与这四个物种呈现出不同的格局。从二维和三维图像来看, 和 呈现出梯度扩散,而 、 、 和 呈现出斑块分布。结果表明,该草地群落主要物种的空间分布与采矿无关。

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