| 额敏县新疆野苹果种群空间分布格局及其关联性 |
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| 引用本文： | 曹羚,金晟康,叶尔江·拜克吐尔汉,努尔斯娅·阿不都热苏力,车畅. 额敏县新疆野苹果种群空间分布格局及其关联性[J]. 浙江农林大学学报, 2023, 40(2): 390-397. DOI: 10.11833/j.issn.2095-0756.20220267 |
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| 作者姓名： | 曹羚 金晟康 叶尔江·拜克吐尔汉 努尔斯娅·阿不都热苏力 车畅 |
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| 作者单位： | 新疆农业大学 林学与风景园林学院 新疆干旱区林业生态与产业技术重点实验室，新疆 乌鲁木齐 830052 |
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| 基金项目： | 新疆维吾尔自治区林业改革发展资金项目(LYFZJJTB2021) |
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| 摘 要： | 【目的】研究新疆塔城地区额敏县新疆野苹果Malus sieversii种群空间分布格局及其关联性，为该地区新疆野苹果种群恢复和持续经营提供科学依据。【方法】通过典型样地调查法，设置20块标准样地(30 m×30 m)进行新疆野苹果个体调查，使用径级结构代替年龄结构，并运用点格局分析中的单变量函数和双变量函数分析方法，对不同龄级新疆野苹果个体的空间分布格局及其关联性进行研究。【结果】(1)新疆野苹果种群的年龄结构呈现类似纺锤形的非典型金字塔型，更新状况不良，种群结构不稳定。(2)较小年龄的新疆野苹果个体部分呈现出聚集分布，随着年龄的不断增加，逐渐趋向随机分布。(3)年龄相近的个体空间关联性部分呈正关联或无显著关联，随着个体年龄间差距的增加，空间关联性大多数表现为无关联状态。【结论】额敏县新疆野苹果种群结构不稳定，不同龄级个体之间空间关联性不强，应加强抚育管理，通过人工种植等方法改变其现有的随机分布状态，使其聚集生长，以促进当地新疆野苹果种群稳定生长及资源恢复。图3表1参35
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| 关 键 词： | 新疆野苹果 年龄结构 空间分布格局 空间关联性 |
| 收稿时间： | 2022-04-04 |
Spatial pattern and correlation of Malus sieversii population in Emin County |
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| CAO Ling,JIN Shengkang,Yeerjiang Baiketuerhan,Nuersiya Abuduresuli,CHE Chang. Spatial pattern and correlation of Malus sieversii population in Emin County[J]. Journal of Zhejiang A&F University, 2023, 40(2): 390-397. DOI: 10.11833/j.issn.2095-0756.20220267 |
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| Authors: | CAO Ling JIN Shengkang Yeerjiang Baiketuerhan Nuersiya Abuduresuli CHE Chang |
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| Affiliation: | Key Laboratory of Forestry Ecology and Industrial Technology in Arid Areas of Xinjiang, College of Forestry and Landscape Architecture, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China |
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| Abstract: | Objective This study, with an investigation of the spatial distribution pattern and correlation of Malus sieversii population in Emin County, Tacheng Prefecture of Xinjiang, is aimed to explore its biological characteristics so as to provide a scientific basis for the restoration and sustainable management of M. sieversii population in this area. Method First, employing the typical sample plot investigation method, an investigation was conducted of the individuals of M. sieversii in 20 blocks (30 m×30 m) with diameter class structure used instead of age structure and univariate function and bivariate function analysis methods adopted in point pattern analysis. Then, a study was carried out of the spatial distribution pattern and its correlation of M. sieversii individuals with different age classes. Result (1) The age structure of M. sieversii population presented an atypical pyramid like a spindle, with poor regeneration and unstable population structure. (2) The individual parts of M. sieversii with younger age showed aggregation distribution with the tendency to become random with the increase of age. (3) The spatial relevance of individuals with similar age is positively correlated or not significantly correlated whereas with the increase of the gap between individuals’ ages, the spatial relevance was mostly non-correlated. Conclusion The population structure of M. sieversii in Emin County is unstable, and the spatial correlation between individuals of different age classes is not strong. Therefore, efforts should be focused on the enhancement of tending management and the change of their existing random distribution state through artificial planting and other methods, so as to make them aggregate and grow and promote the stable growth of local M. sieversii population and resource recovery. [Ch, 3 fig. 1 tab. 35 ref.] |
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