徐　畅, 王德彩, 刘　倩, 杨　柳, 张志华, 何林倩. 利用数字土壤制图技术评价森林立地质量[J]. 土壤通报, 2022, 53(1): 45 − 55. DOI: 10.19336/j.cnki.trtb.2021011804
引用本文: 徐　畅, 王德彩, 刘　倩, 杨　柳, 张志华, 何林倩. 利用数字土壤制图技术评价森林立地质量[J]. 土壤通报, 2022, 53(1): 45 − 55. DOI: 10.19336/j.cnki.trtb.2021011804
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XU Chang, WANG De-cai, LIU Qian, YANG Liu, ZHANG Zhi-hua, HE Lin-qian. Evaluation of Forest Site Quality Using Digital Soil Mapping[J]. Chinese Journal of Soil Science, 2022, 53(1): 45 − 55. DOI: 10.19336/j.cnki.trtb.2021011804
Citation: XU Chang, WANG De-cai, LIU Qian, YANG Liu, ZHANG Zhi-hua, HE Lin-qian. Evaluation of Forest Site Quality Using Digital Soil Mapping[J]. Chinese Journal of Soil Science, 2022, 53(1): 45 − 55. DOI: 10.19336/j.cnki.trtb.2021011804
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利用数字土壤制图技术评价森林立地质量

Evaluation of Forest Site Quality Using Digital Soil Mapping

    摘要
  • 摘要:
      目的  为了提升森林立地质量评价的精准性，探讨利用数字土壤制图技术对森林立地质量进行评价，助力精准林业的发展。
      方法  以济源南山林场为研究区，以地形因子为预测因子，运用模糊C均值聚类方法（FCM算法）对立地评价所需的主要土壤属性进行预测制图，并在利用遥感影像数据获取林地其他立地环境因子分布图的基础上，应用灰色关联度法对研究区森林立地质量进行综合评价。
      结果  研究区森林立地质量等级以4级为主，评为4级的林地面积占总面积54.38%；其次为3级，占研究区总面积的26.91%；1级、2级、5级林地面积较小，分别占研究区总面积的5.27%、8.96%和4.48%。
      结论  研究表明，基于FCM算法的数字土壤制图技术，可获得采样点较少条件下的较高精度的土壤属性分布图，能为森林立地质量评价提供相对丰富的土壤空间信息，是森林立地质量精准评价的新途径。

     

    Abstract:
      Objective  In order to improve the accuracy of forest site quality evaluation and help the development of precision forestry.
      Method  This study takes Jiyuan Nanshan Forest Farm as the study area, takes the topographic factor as the prediction factor, uses the fuzzy c-means clustering method (FCM) to predict and map the main soil attributes required for site evaluation, and applies the grey correlation method to comprehensively evaluate the forest site quality on the basis of obtaining the distribution map of other site environmental factors by using remote sensing image data.
      Result  The results showed that the forest site quality grade was mainly grade 4, and the forest land area rated as grade 4 accounts for 54.38% of the total area, followed by grade 3, accounting for 26.91% . The forest land areas of grade 1, grade 2 and grade 5 were small, accounting for 5.27%, 8.96% and 4.48% , respectively.
      Conclusion  The results showed that using the digital soil mapping technology based on FCM method could obtain a high-precision soil attribute distribution map with fewer sampling points, provide relatively rich soil spatial information for forest site quality evaluation, and is a new way for evaluating forest site quality.

     

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