湖北省两种地形区耕地土壤肥力指标空间格局与主控因素

高浩然; 周勇; 刘甲康; 王丽; 吴飞; 田杨

doi:10.13961/j.cnki.stbctb.20220829.003

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湖北省两种地形区耕地土壤肥力指标空间格局与主控因素

试验研究

- 湖北省两种地形区耕地土壤肥力指标空间格局与主控因素
- Spatial Patterns and Main Control Factors of Soil Fertility Indicators in Arable Land in Two Topographic Regions of Hubei Province
- 水土保持通报 2022年42卷第5期页码：283-292
- 作者机构：
  
  1. 华中师范大学地理过程分析与模拟湖北省重点实验室,湖北,武汉,430000
  2. 华中师范大学城市与环境科学学院,湖北,武汉,430000
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“40年来两湖平原耕地质量变化与粮食产能的时空响应机理研究”(42171061)
- DOI：10.13961/j.cnki.stbctb.20220829.003
  中图分类号： S153.6
- 纸质出版：2022
- 稿件说明：
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高浩然, 周勇, 刘甲康, 等. 湖北省两种地形区耕地土壤肥力指标空间格局与主控因素[J]. 水土保持通报, 2022,42(5):283-292.

Gao Haoran, Zhou Yong, Liu Jiakang, et al. Spatial Patterns and Main Control Factors of Soil Fertility Indicators in Arable Land in Two Topographic Regions of Hubei Province[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 283-292.
高浩然, 周勇, 刘甲康, 等. 湖北省两种地形区耕地土壤肥力指标空间格局与主控因素[J]. 水土保持通报, 2022,42(5):283-292. DOI： 10.13961/j.cnki.stbctb.20220829.003.

Gao Haoran, Zhou Yong, Liu Jiakang, et al. Spatial Patterns and Main Control Factors of Soil Fertility Indicators in Arable Land in Two Topographic Regions of Hubei Province[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 283-292. DOI： 10.13961/j.cnki.stbctb.20220829.003.

摘要

[目的] 研究湖北省2种地形的土壤肥力指标分异空间格局及主控因素差异，为不同地形区土壤质量改良，农业生态环境及耕地质量提升提供一定理论依据。[方法] 选取土壤有机质、全氮、全磷、全钾4种土壤肥力指标，并收集整理土地利用类型、成土母质、土壤类型、高程(DEM)、地表起伏度、坡度、植被覆盖度指数(NDVI)、平均气温、平均降水量以及道路、工矿用地、城镇居民点、河流水库13种环境影响因子，利用基本统计学、地统计学、反距离权重和地理探测器模型，分析不同地形区每种土壤肥力指标的空间分布特征以及每种土壤肥力指标与环境因子之间的相关性，并识别对比不同地形区土壤肥力指标含量分异的主控因子。[结果] 襄州区土壤肥力指标主控因素主要有降水量、平均气温，以及道路用地、城镇居民点用地、工矿用地、河流水库距离；房县土壤肥力指标主控因素主要有降水量、平均气温、坡度、坡向、地表起伏度以及河流水库距离。[结论] 襄州区与房县因地形因素影响其土壤肥力指标空间格局分异主控因素存在差异，平原区更易受人类活动影响。

Abstract

[Objective] The spatial pattern of a soil fertility index and differences in the main controlling factors for two topographical areas in Hubei Province was determined in order to provide a theoretical basis for soil quality improvement

agroecological environment

and arable land quality enhancement in different topographical areas. [Methods] Data for four soil fertility indicators (soil organic matter

total nitrogen

total phosphorus

and total potassium)

along with 13 environmental impact factors 〔land use type

soil-forming parent material

soil type

elevation (DEM)

surface relief

slope

normalized difference vegetation index (NDVI)

average temperature

average precipitation

roads

industrial and mining sites

urban settlements

and rivers and reservoirs〕

were collected and compiled. Basic statistics

geostatistics

inverse distance weighting

and a geographic detector model were used to analyze the spatial distribution characteristics of each soil fertility index in different topographic areas and to determine the correlation between each soil fertility index and environmental factors. The main controlling factors of the soil fertility index content differentiation in different topographic areas were identified and compared. [Results] The main controlling factors for the soil fertility indexes in Xiangzhou District were precipitation

average temperature

and the distance of road land

urban settlement land

industrial and mining land

and rivers and reservoirs. The main controlling factors for soil fertility indexes in Fang County were precipitation

average temperature

slope

slope direction

surface relief

and the distance of rivers and reservoirs. [Conclusion] The spatial patterns of soil fertility indicators in Xiangzhou District and Fang County differed in their main controlling factors due to topographic factors

and the plain areas were more susceptible to human activities.

关键词

Keywords

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