基于结构方程模型的白桦次生林健康评价—以大通县宝库河流域为例
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1.北京林业大学水土保持学院水土保持国家林业局重点实验室;2.山西农业大学林学院

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青海省科技厅重点研发与转化项目(2022-SF-160);“十四五”国家重点研发计划(2022YFF1302604);“十三五”国家重点研发计划(2017YFC0504604)


Health assessment of Betula platyphylla Suk secondary forest based on structural equation model——the example of Baoku River Basin in Datong County
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Key Laboratory of Soil and Water Conservation State Forestry Administration, Soil and Water Beijing Forestry University, Beijing

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    摘要:

    青海省大通县位于青藏高原和黄土高原的过渡地带,具有西宁水塔之美誉。白桦次生林作为该地区主要的先锋树种,良好的森林健康状况能够保证其水源涵养功能的充分发挥,这对于维护区域水资源安全格局具有重要意义。本研究旨在评价青海大通县不同密度梯度下白桦次生林的森林健康状况,并揭示影响其健康状况的主要因素,从而为退化天然林的恢复和重建提供科学依据。研究选择生产力、土壤质量、林分结构和系统稳定性四个潜变量及变量下的18项观测变量作为森林健康的评价指标,利用验证性因子分析(CFA)对各项评价指标的权重进行计算,基于此计算不同密度梯度下各林分的森林健康综合得分。验证结果显示,各潜变量对森林健康的标准化路径系数分别为0.74、0.90、0.09和0.70,均达到显著水平。权重分析显示,土壤质量的综合权重最高(0.3704),其次是生产力(0.3045)和系统稳定性(0.2880),林分结构的权重相对较低(0.0371)。通过对不同林分密度下的森林健康综合得分分析发现,林分密度在300~500株·hm-2范围内的样地综合得分最高,显著优于其他密度区间。而过高(800株·hm-2以上)的林分密度会则导致健康得分降低。综合分析表明,适中的林分密度(300~500株·hm-2)能够有效维持土壤质量和生产力,从而优化次生林的森林健康水平。

    Abstract:

    Datong County in Qinghai Province is located in the transition zone between the Qinghai-Tibet Plateau and the Loess Plateau, this area is known as the "Water Tower of Xining" , holding a significant ecological status. Maintaining the good health status of the secondary forest of the main pioneer tree species Betula platyphylla in this area is conducive to giving full play to its water conservation function and is of great significance for maintaining regional water resource security. Given the complexity and multi-factorial nature of the degradation phenomena in this region. The purpose of this study was to evaluate the health status of Betula platyphylla secondary forests with varying densities in Datong County, Qinghai Province, and to reveal the main influencing factors, thereby provide a scientific basis for the restoration and reconstruction of degraded natural forests. To this end, the four latent variables - productivity, soil quality, stand structure, and system stability – as well as 18 observable variables were selected as forest health assessment indicators, and the weights of the assessment indicators were calculated using validated factor analysis (CFA), based on which the composite scores of the health of stands with different densities were calculated. The results showed that the standardized path coefficients of the four latent variables on forest health were 0.74, 0.90, 0.09, and 0.70, respectively, and all reached the significant level. The weight analysis showed that soil quality had the highest combined weight (0.3704), followed by productivity (0.3045) and system stability (0.2880), while stand structure had a relatively low weight (0.0371). The study shows that soil quality directly affects the water and nutrient absorption capacity of the stand, and it is the foundation for maintaining stand stability and productivity. By analyzing the forest health composite scores of stands with different densities, it was found that the composite scores of sample plots with densities in the range of 300—500 plant/hm2 were the highest, which were significantly better than those of other density intervals; too high density (more than 800 plants/hm2) resulted in lower health scores, mainly due to intensified resource competition, which restricted tree growth and contributed to an increase in forest pests and diseases. Overall, maintaining a moderate and reasonable stand density (300—500 plants/hm2) in the secondary forest of Betula platyphylla can effectively maintain its soil quality and productivity, and thus maintain a better level of stand health. This provides an important reference for future forest management and ecological restoration work, especially in terms of forest restoration and density control.

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高佳文,左亚凡,鲁雅雯,贺康宁.基于结构方程模型的白桦次生林健康评价—以大通县宝库河流域为例.生态学报,,(). http://dx. doi. org/[doi]

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