广西人工林不同类型土壤肥力质量评价及环境驱动因子分析

doi:10.16088/j.issn.1001-6600.2022112301

摘要/Abstract

摘要： 为明确广西人工林土壤肥力指标环境驱动因子,综合评价土壤肥力水平,本文通过系统收集人工林土壤现状数据,分析主要土壤肥力指标的空间分布规律,并制作全区人工林土壤肥力指数空间分布图。利用典范对应分析方法对土壤肥力指标和环境因子进行分析,获取广西主要土壤类型人工林土壤肥力指标的环境驱动因子。结果显示:全区90%以上人工林的土壤肥力指数处于0.20~0.50,不同土壤类型人工林土壤肥力指数由大到小依次为黄棕壤、黄红壤、黄壤、红壤、石灰岩土、赤红壤、砖红壤。赤红壤人工林土壤碱解氮与有机质和年均气温相关性高,土壤有效磷与有机质和pH相关性高,土壤速效钾与环境因子坡度、海拔、降水量、积温和坡向相关性高。红壤人工林土壤碱解氮与坡度和海拔相关性高,土壤有效磷与积温和降水量相关性高,土壤速效钾与pH相关性高。石灰岩土人工林土壤碱解氮与坡度和有机质相关性高,土壤有效磷与积温和降水量相关性高,土壤速效钾与pH相关性高。综合来看,广西人工林土壤肥力整体偏低,不同土壤类型人工林土壤肥力指标的环境驱动因子各有区别。

关键词: 土壤肥力指数, 驱动因子, 人工林土壤, 典范对应分析, GIS

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

中图分类号: S714.8

石媛媛, 赵隽宇, 宋贤冲, 覃祚玉, 唐健. 广西人工林不同类型土壤肥力质量评价及环境驱动因子分析[J]. 广西师范大学学报（自然科学版）, 2023, 41(6): 192-201.

SHI Yuanyuan, ZHAO Junyu, SONG Xianchong, QIN Zuoyu, TANG Jian. Environmental Driving Factors and Quality Evaluation of Soil Fertility Index in Plantation Based on Canonical Correspondence Analysis[J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(6): 192-201.

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