南京林业大学学报(自然科学版) ›› 2023, Vol. 47 ›› Issue (4): 42-50.doi: 10.12302/j.issn.1000-2006.202109006

所属专题: 第三届中国林草计算机应用大会论文精选(Ⅱ)

• 专题报道:第三届中国林草计算机应用大会论文精选(Ⅱ)(执行主编 李凤日) • 上一篇    下一篇

基于LandUSEM模型的山东沿海防护林树种分布适宜性分析

宋歌1(), 韩芳1,*(), 许景伟2, 杨志军3, 穆豪祥1, 王志勇1, 王哲1   

  1. 1.山东理工大学建筑工程学院,山东 淄博 255000
    2.山东省林业科学研究院,山东 济南 250014
    3.山东省林业监测规划院,山东 济南 250014
  • 收稿日期:2021-09-02 修回日期:2022-02-14 出版日期:2023-07-30 发布日期:2023-07-20
  • 通讯作者: * 韩芳(hanf@lreis.ac.cn),副教授。
  • 作者简介:宋歌(songgew1996@163.com)。
  • 基金资助:
    山东省农业科技资金(林业科技创新)项目(2019LY006);山东省自然科学基金项目(ZR2021MD080)

Distribution suitability analysis of the tree species of shelter forest in coastal area of Shandong based on LandUSEM model

SONG Ge1(), HAN Fang1,*(), XU Jingwei2, YANG Zhijun3, MU Haoxiang1, WANG Zhiyong1, WANG Zhe1   

  1. 1. School of Architectural Engineering, Shandong University of Technology, Zibo 255000, China
    2. Shandong Academy of Forestry Sciences, Ji'nan 250014, China
    3. Shandong Institute of Forestry Territorial and Spatial Planning, Ji'nan 250014, China
  • Received:2021-09-02 Revised:2022-02-14 Online:2023-07-30 Published:2023-07-20

摘要:

【目的】对山东沿海7地市防护林树种分布适宜性进行分析,可综合反映不同立地因子对各防护林树种的影响,为更加科学地进行防护林树种规划提供理论依据。【方法】利用LandUSEM模型,以山东省森林资源管理“一张图”调查数据为基础,以1∶100万数字化土壤图和DEM数据为辅助数据,对山东沿海7地市防护林树种分布适宜性进行分析。【结果】受地貌因子影响较大的树种有26种,土壤类型对各优势树种的影响相对敏感,不同林种条件下各优势树种的适宜性差异较大。7种因素对49种优势树种影响的平均相对权重分别为地貌(0.19)>土壤类型(0.15)=坡度(0.15)=土层厚度(0.15)>林种(0.14)>坡位(0.13)>坡向(0.09)。目前在以黑松、赤松和刺槐为优势树种的防护林中,黑松、赤松分布的相对适宜度较高,90.48%的刺槐林分布不适宜或临界适宜。建议在刺槐林分布适宜性较差的低山丘陵区种植黑松、油松、麻栎、山楂、杜仲、蒙古栎、栎类、樱桃、酸枣等树种与其混交,提升刺槐林的生态效益。【结论】山东沿海7地市防护林树种分布适宜性整体较好,利用LandUSEM模型进行树种分布适宜性分析结果可靠。

关键词: 防护林, 树种分布, 适宜性, LandUSEM模型

Abstract:

【Objective】Analyzing distribution suitability of forest protection tree species in seven coastal cities of Shandong Province can comprehensively reflect the impacts of different site factors on each forest protection tree species, thereby enabling further scientific forest protection tree species planning. 【Method】The distribution suitability of the tree species in protection forests within seven coastal cities of the Shandong Province was analyzed with the LandUSEM model using survey data of ‘One map’ of forest resource management in Shandong Province, as well as the 1∶106 digital soil map and DEM data as auxiliary data. 【Result】There were 26 species which were significantly affected by geomorphological factors. Furthermore, it was found that the soil types were relatively sensitive to the influence of dominant tree species and that the suitability of dominant tree species varied greatly depending on the different forest types. The average relative weights of the seven factors on the 49 dominant tree species were as follows: landform (0.19) > soil type (0.15) = slope (0.15) = soil thickness (0.15) > forest species (0.14) > slope position (0.13) > slope aspect (0.09). In the protection forests dominated by Pinus thunbergii, P. densiflora and Robinia pseudoacacia, the relative suitabilities of the first two species were higher than that of the latter; 90.48% of R. pseudoacacia forests were not suitable or critically suitable. This suggests that Pinus thunbergii, P. tabulaeformis, Quercus acutissima, Crataegus pinnatifida, Eucommia ulmoides, Q. mongolica, Q. spp., Cerasus pseudocerasus, Cerasus pseudocerasus, Ziziphus jujuba var. spinosa and other tree species should be mixed in low mountains and hilly areas where R. pseudoacacia forests have poor distribution suitability to improve the ecological benefits of R. pseudoacacia forests. 【Conclusion】 The distribution suitabilities of tree species in the protective forests within the seven selected cities along the coast of the Shandong Province are generally good, and the LandUSEM model analysis provides reliable information on tree species distribution suitability.

Key words: shelter forest, tree species distribution, suitability, LandUSEM model

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