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川西北地区2种典型人工林森林质量评价

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人工林是川西北森林生态系统的重要组成部分,为了解其森林质量状况,以云杉(Picea asperata)和辐射松(Pinusradiata)为优势树种的2种典型人工林为对象,采用因子分析和聚类分析开展了森林质量评价。研究结果表明:(1)通过因子分析提取出4个主成分,累积方差贡献率为76。877%,能较全面地反映森林质量状况;(2)4个准则层的权重值表现为林木生长因子>林下灌木因子>林分郁闭条件>林下草本因子,说明林木生长因子对森林质量评价指标体系的影响最大;(3)根据森林质量评价综合得分,各等级样地数量占比分别为优10%、良40%、中10%、差40%;(4)川西北地区不同树种人工林质量分化明显,其中云杉人工林质量以"良"为主,辐射松人工林质量以"差"为主。研究结果有助于掌握川西北地区人工林森林质量状况,从而为后续开展森林质量精准提升奠定基础。
Forest quality evaluation of two typical plantations in northwest Sichuan
Plantation is an important part of forest ecosystem in northwest Sichuan.In order to understand the forest quality status of the two typical plantations with spruce(Picea asperata)and radiata pine(Pinus radiata)as the dominant species,the forest quality assessment was carried out by using factor analysis and cluster analysis.The research results showed that:(1)Four principal components were extracted by factor analysis,and the cumulative variance contribution rate of the four principal components was 76.877%,which could comprehensively reflect the forest quality;(2)The weight values of the four criterion layers were as follows:timber growth factor>understory shrub factor>stand canopy coverage>understory herb factor,indicating that timber growth factor had the greatest influence on the forest quality evaluation index system.(3)According to the comprehensive score of forest quality evaluation,the proportion of sample plots in each grade was 10%in excellent condition,40%in good condition,10%in medium condition and 40%in poor condition,respectively.(4)There are obvious differences in the quality of plantions of different tree species in northwest Sichuan,among which the quality of spruce plantations was"good"and that of radiant pine plantations was"poor".This study is helpful to grasp the forest quality status of plantations in northwest Sichuan,thus laying the foundation for accurate improvement of forest quality in the future.

forest quality evaluationfactor analysiscluster analysisnorthwest Sichuan

王盼、徐舟、孟明琴、陈玥、张利、刘建霞、何建社、刘千里、陈友吾

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阿坝州林业和草原科学技术研究所,四川阿坝 624000

茂县林业和草原局,四川阿坝 624000

浙江省林业科学研究院,杭州 310000

森林质量评价 因子分析 聚类分析 川西北地区

四川省科技计划阿坝州应用技术研究与开发资金项目四川省科技计划

2023YFN0029R22YYSYJ00092022YFS046801

2024

四川林业科技
四川省林学会 四川省林业科学研究院

四川林业科技

影响因子:0.452
ISSN:1003-5508
年,卷(期):2024.45(2)
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