1. 新疆师范大学地理科学与旅游学院,乌鲁木齐,830054
2. 新疆干旱区湖泊环境与资源重点实验室,乌鲁木齐,830054
纸质出版:2023
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张凯丽, 叶茂, 何强强, 等. 阿尔泰山哈巴河地区不同草地类型物种[J]. 水土保持学报, 2023,37(1):262-271.
Analysis of Species Diversity and VOR Index of Different Grassland Types in the Habahe Region of the Altai Mountains[J]. 2023, 37(1): 262-271.
张凯丽, 叶茂, 何强强, 等. 阿尔泰山哈巴河地区不同草地类型物种[J]. 水土保持学报, 2023,37(1):262-271. DOI: 10.13870/j.cnki.stbcxb.2023.01.034.
Analysis of Species Diversity and VOR Index of Different Grassland Types in the Habahe Region of the Altai Mountains[J]. 2023, 37(1): 262-271. DOI: 10.13870/j.cnki.stbcxb.2023.01.034.
以阿尔泰山哈巴河地区5个林区的4种草地类型为研究对象
分析哈巴河地区5个林区各草地类型的物种多样性变化特征。运用回归分析、相关分析和VOR指数等方法
探讨不同草地类型群落物种组成及多样性的影响因素
对草地生态系统健康状况进行评价。结果表明:(1)在不同的草地类型中
荒漠草原与山地草甸草原、山地草甸间群落的相似性系数在0~0.25
异质性大
山地草原和山地草甸草原间的相似性系数处于0.50~0.75
异质性小。(2)在4种草地类型中
各草地类型的Margalef指数与Simpson指数、Shannon-Wiener指数之间R
2
均小于0.75
且二次项拟合显示出较大的差异
盖度与生物量均呈极显著相关(p
<
0.01)。(3)海拔与生物量关系均较差
R
2
均小于0.40
仅山地草甸的海拔与生物量呈极显著相关(p
<
0.01)
其余均不相关。(4)5个林区总体上9月生物量小于6月
但白哈巴林区的山地草原和山地草甸草原的生物量6月小于9月
呼吉尔特林区的荒漠草原生物量6月小于9月。(5)通过对5个林区平均的生物量与VOR指数做拟合分析
R
2
介于0.118~0.712。5个林区草地生态系统健康水平为那仁(0.914)
>
白哈巴(0.863)
>
铁列克(0.848)
>
呼吉尔特(0.845)
>
齐巴契列克(0.827)。研究结果为了解哈巴河地区草地生态系统的健康状况提供重要依据
对理解阿尔泰山哈巴河地区不同草地资源的空间分布格局及合理化利用具有重要的意义。
Taking four grassland types in five forest areas in the Habahe region of the Altai Mountains as the research object
the change characteristics of species diversity of each grassland type in the five forest areas in Habahe region were analyzed. The regression analysis
correlation analysis
and VOR index were used to explore the influencing factors of species composition and diversity of different grassland types
and to evaluate the health status of their grassland ecosystems. The results showed that: (1) Among the differe
nt grassland types
the community similarity coefficient between desert steppe and mountain meadow steppe and mountain meadow steppe ranged from 0 to 0.25
and the heterogeneity was the large. The similarity coefficient between mountain steppe and mountain meadow steppe ranges from 0.50 to 0.75
with the small heterogeneity. (2) Among the four grassland types
the R
2
between the Margalef index
Simpson index
and Shannon-Wiener index of each grassland type was less than 0.75
and the quadratic term fitting showed a large difference
and the coverage and biomass were extremely significant correlated (p
<
0.01). (3) The relationship between altitude and biomass was poor
and R
2
was less than 0.40. Only the altitude and biomass of mountain meadow were significantly correlated (p
<
0.01)
and the rest were not correlated. (4) Overall
the biomass of the five forest areas in September was less than that in June
but the biomass of the mountain steppe and the mountain meadow steppe in the Baihaba forest area in June was less than that in September
and the biomass of the desert steppe in the Hujierte forest area in June was less than that in September. (5) The average biomass of the five forest areas was fitted with the VOR index
and R
2
ranged from 0.118 to 0.712. The health level of grassland ecosystem in 5 forest areas was Naren (0.914)
>
Baihaba (0.863)
>
Tielieke (0.848)
>
Hujierte (0.845)
>
Qibaqilieke (0.827). The results provide an important basis for understanding the health status of grassland ecosystem in the Habahe region
and are of great significance for understanding the spatial distribution pattern and rational utilization of different grassland resources in the Habahe region of the Altai Mountains.
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