基于最小数据集的宁都县不同整地方式下果园土壤质量评价

李雨晨; 熊翱宇; 平原; 澹腾辉; 曾建辉; 陈新; 郭忠录

doi:10.13870/j.cnki.stbcxb.2023.04.042

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基于最小数据集的宁都县不同整地方式下果园土壤质量评价

更新时间：2025-03-12

- 基于最小数据集的宁都县不同整地方式下果园土壤质量评价
- Soil Quality Assessment of Orchards Under Different Land Preparation Measures in Ningdu County Based on Minimum Data Set
- 水土保持学报 2023年37卷第4期页码：342-350
- 作者机构：
  
  1. 华中农业大学水土保持研究中心,武汉,430070
  2. 湖北方源东力电力科学研究公司,武汉,430000
- 作者简介：
  
  [ "李雨晨(1995-),男,在读硕士研究生,主要从事水土保持与生态恢复研究。E-mail:625250301@qq.com" ]
- 基金信息：
  
  国家重点研发计划项目(2017YFC0505405);国家自然科学基金项目(42077066)
- DOI：10.13870/j.cnki.stbcxb.2023.04.042
  中图分类号： S156.6
- 纸质出版：2023
- 稿件说明：
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李雨晨, 熊翱宇, 平原, 等. 基于最小数据集的宁都县不同整地方式下果园土壤质量评价[J]. 水土保持学报, 2023,37(4):342-350.

LI Yuchen, XIONG Aoyu, PING Yuan, et al. Soil Quality Assessment of Orchards Under Different Land Preparation Measures in Ningdu County Based on Minimum Data Set[J]. 2023, 37(4): 342-350.
李雨晨, 熊翱宇, 平原, 等. 基于最小数据集的宁都县不同整地方式下果园土壤质量评价[J]. 水土保持学报, 2023,37(4):342-350. DOI： 10.13870/j.cnki.stbcxb.2023.04.042.

LI Yuchen, XIONG Aoyu, PING Yuan, et al. Soil Quality Assessment of Orchards Under Different Land Preparation Measures in Ningdu County Based on Minimum Data Set[J]. 2023, 37(4): 342-350. DOI： 10.13870/j.cnki.stbcxb.2023.04.042.

摘要

为探究不同整地措施下梯田果园土壤质量的变化

以赣南宁都县小洋小流域脐橙果园开发示范区内的3种典型坡面(优化整地Ty、传统整地Tc、撂荒地CK)为研究对象

采用主成分分析法(principal component analysis

PCA)筛选最小数据集指标

对该地区土壤质量进行评价。结果表明:(1)由全量数据集(total data set

TDS)和最小数据数据集(minimum data set

MDS)计算的土壤质量指数存在显著正相关关系

R2=0.604

表明MDS可以代替TDS对宁都县脐橙果园开发示范区进行土壤质量评价;(2)3种典型坡面的土壤质量指数(soil quality index

SQI)表现为优化整地(SQI=0.477)>撂荒地(SQI=0.436)>传统整地(SQI=0.220)

其中Ty与CK之间无显著差异

Ty的SQI相较于Tc提升1.16倍

表明优化整地措施下土壤质量有显著提升;(3)果园不同土层总体表现为表层(0—10 cm)土壤质量指数大于深层(10—20 cm)土壤

通过土壤质量指数分级发现

优化整地梯田和撂荒地土壤质量优于传统整地。研究结果可以为我国红壤丘陵区的坡地资源利用管理以及梯田修建后水土保持措施布设提供科学依据。

Abstract

In order to study the impact of different land preparation measures on the quality of the soil of the terraced orchards

three typical slopes (optimized prepared slope Ty

traditional prepared terraced slop Tc

and abandoned land CK) in navel orange orchard development demonstration area of Xiaoyang small watershed in Ningdu County

southern Jiangxi Province were selected as the research object. The primary component analysis method (PCA) was used to screen the minimum data set indicator to evaluate the soil quality in this area. The results showed that: (1) Total Data Set(TDS) and Minimum Data Setting(MDS) soil quality indexes had a significant positive correlation

R2 = 0.604

indicating that MDS could instead of TDS to conduct soil quality evaluation of navel orange orchard development demonstration area in Ningdu County; (2) The soil quality index (SQI) of 3 typical slopes was manifested as: optimizing prepared terraced slope(0.477) > abandoned land(0.436) > traditional prepared terraced slop(0.220). There was no significant difference between Ty and CK

and SQI of Ty was about 1.16 times higher than that of Tc

indicating that soil quality would be significantly improved under optimized soil preparation measures; (3) In general

the SQI of the surface layer (0—10 cm) was higher than that of the deep soil (10—20 cm) in the different soil layers of the orchard. The SQI classification showed that the soil quality of the optimized terraced and abandoned land was better than that of the traditional prepared terraced slop. The research results can provide a scientific basis for the utilization and management of slope land resources in the red soil hilly region of South China and the layout of soil and water conservation measures after terrace construction.

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