Journal of Guangxi Normal University(Natural Science Edition) ›› 2023, Vol. 41 ›› Issue (6): 192-201.doi: 10.16088/j.issn.1001-6600.2022112301

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Environmental Driving Factors and Quality Evaluation of Soil Fertility Index in Plantation Based on Canonical Correspondence Analysis

SHI Yuanyuan1,2, ZHAO Junyu1,2, SONG Xianchong1,2, QIN Zuoyu1,2, TANG Jian1,2*   

  1. 1. Guangxi Key Laboratory of Cultivation of Excellent Timber Forest Resources (Guangxi Zhuang Autonomous Region Forestry Research Institute), Nanning Guangxi 530002, China;
    2. Guangxi Research and Development Center for New Forestry Fertilizer, Nanning Guangxi 530002, China
  • Received:2022-11-23 Revised:2023-02-24 Published:2023-12-04

Abstract: In order to clarify the environmental driving factors of soil fertility index of plantation in Guangxi, soil fertility level was comprehensively evaluated. In this paper, the spatial distribution of main soil fertility indexes was analyzed by collecting soil status data of plantations, and the fertility indexes of plantations in the whole region were obtained. Canonical correspondence analysis (CCA) was used to analyze soil fertility indices and environmental factors, and the environmental driving factors of soil fertility indices of plantation forests in Guangxi were obtained. The results showed that the soil fertility index of more than 90% plantations in the whole region was in the range of 0.20-0.50. The order of soil fertility index of different plantations was yellow brown soil > yellow red soil > yellow soil > red soil > limestone soil > lateritic soil > lateritic soil. Soil alkali-hydrolyzable N was highly correlated with organic matter and annual average temperature, soil available P was highly correlated with organic matter and pH, and soil available K was highly correlated with environmental factors including slope, altitude, rainfall, accumulated temperature and slope aspect. Soil alkali-hydrolyzable N was highly correlated with slope and altitude, soil available P was highly correlated with accumulated temperature and rainfall, and soil available K was highly correlated with pH. Soil alkali-hydrolyzable N was highly correlated with slope and organic matter, soil available P was highly correlated with accumulated temperature and rainfall, and soil available K was highly correlated with pH in limestone soil plantation.

Key words: soil fertility index, driving factors, plantation soil, canonical correspondence analysis, GIS

CLC Number:  S714.8
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