Spatial Patterns and Main Control Factors of Soil Fertility Indicators in Arable Land in Two Topographic Regions of Hubei Province

Gao Haoran; Zhou Yong; Liu Jiakang; Wang Li; Wu Fei; Tian Yang

doi:10.13961/j.cnki.stbctb.20220829.003

您当前的位置：

首页 >

文章列表页 >

Spatial Patterns and Main Control Factors of Soil Fertility Indicators in Arable Land in Two Topographic Regions of Hubei Province

- Spatial Patterns and Main Control Factors of Soil Fertility Indicators in Arable Land in Two Topographic Regions of Hubei Province
- Bulletin of Soiland Water Conservation Vol. 42, Issue 5, Pages: 283-292(2022)
- 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：
- DOI：10.13961/j.cnki.stbctb.20220829.003
  CLC： S153.6
- Published：2022
- 稿件说明：
移动端阅览
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：

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

references

Liu Jianguo, Gou Xiaohua, Zhang Fen, et al. Spatial patterns in the C∶N∶P stoichiometry in Qinghai spruce and the soil across the Qilian Mountains, China [J]. Catena, 2021,196:104814.

高君亮,罗凤敏,高永,等.阴山北麓不同土地利用类型土壤养分特征分析与评价[J].草业学报,2016,25(4):230-238.

温延臣,李燕青,袁亮,等.长期不同施肥制度土壤肥力特征综合评价方法[J].农业工程学报,2015,31(7):91-99.

Cui Naxin, Cai Min, Zhang Xu, et al. Runoff loss of nitrogen and phosphorus from a rice paddy field in the east of China: Effects of long-term chemical N fertilizer and organic manure applications [J]. Global Ecology and Conservation, 2020,22:e01011.

薛强.常态下农田土壤污染防治关键问题分析[J].现代农业研究,2021,27(2):39-40.

江叶枫,叶英聪,郭熙,等.江西省耕地土壤氮磷生态化学计量空间变异特征及其影响因素[J].土壤学报,2017,54(6):1527-1539.

Wang Yao, Xiao Ziliang, Aurangzeib M, et al. Effects of freeze-thaw cycles on the spatial distribution of soil total nitrogen using a geographically weighted regression Kriging method [J]. Science of the Total Environment, 2021,763:142993.

宁静,王婷,刘佳会,等.东北典型黑土区土壤养分的空间分布特征及影响因素:以黑龙江省宾县为例[J].西安理工大学学报,2021,37(3):301-310.

李龙,秦富仓,姜丽娜,等.区县域尺度土壤全氮的空间分布格局分析[J].生态学报,2020,40(5):1572-1579.

Song Fangfang, Xu Minggang, Duan Yinghua, et al. Spatial variability of soil properties in red soil and its implications for site-specific fertilizer management [J]. Journal of Integrative Agriculture, 2020,19(9):2313-2325.

刘明杰,徐卓揆,郜允兵,等.基于机器学习的稀疏样本下的土壤有机质估算方法[J].地球信息科学学报,2020,22(9):1799-1813.

Bangroo S A, Najar G R, Achin E, et al. Application of predictor variables in spatial quantification of soil organic carbon and total nitrogen using regression kriging in the North Kashmir forest Himalayas [J]. Catena, 2020,193:104632.

郭澎涛,李茂芬,罗微,等.基于多源环境变量和随机森林的橡胶园土壤全氮含量预测[J].农业工程学报,2015,31(5):194-200.

陈英,冯定邦,蔡立群,等.耕作层土壤养分含量的空间自相关分析: 以秦安县郭嘉镇为例[J].干旱地区农业研究,2016,34(1):66-73.

高凤杰,鞠铁男,吴啸,等.黑土耕作层土壤pH空间变异及自相关分析[J].土壤,2018,50(3):566-573.

Mao Yingming, Sang Shuxun, Liu Shiqi, et al. Spatial distribution of pH and organic matter in urban soils and its implications on site-specific land uses in Xuzhou, China [J]. Comptes Rendus Biologies, 2014,337(5):332-337.

Fan Manman, Lal R, Zhang Huan, et al. Variability and determinants of soil organic matter under different land uses and soil types in Eastern China [J]. Soil and Tillage Research, 2020,198:104544.

宗宁,石培礼,赵广帅,等.降水量变化对藏北高寒草地养分限制的影响[J].植物生态学报,2021,45(5):444-455.

秦富仓,牛晓乐,杨振奇,等.冒山小流域不同地形和土地利用下的土壤养分空间变异特征[J].中国农业科技导报,2020,22(6):138-148.

全思懋,管晓进,王绪奎,等.江苏省域农田土壤速效钾含量变化及其影响因子研究[J].土壤,2019,51(2):257-262.

刘靖朝,熊黑钢,何旦旦,等.基于不同人为干扰的土壤全量氮磷钾空间变异性研究[J].干旱地区农业研究,2019,37(1):116-122.

赵义博,雷少刚,刘英.胜利矿区土壤养分空间变异特征与影响因素[J].土壤,2020,52(2):356-364.

王丽,杨涛,张军,等.拉萨地区居民点周边典型湿草甸湿地植被与土壤特征分析[J].生态科学,2019,38(3):9-17.

王劲峰,徐成东.地理探测器: 原理与展望[J].地理学报,2017,72(1):116-134.

Kong Xiangbin, Zhang Fengrong, Wei Qi, et al. Influence of land use change on soil nutrients in an intensive agricultural region of North China [J]. Soil and Tillage Research, 2006,88(1/2):85-94.

袁知洋,邓邦良,郭晓敏,等.武功山山地草甸土壤全量氮磷钾分布格局及对不同退化程度的响应[J].西北林学院学报,2015,30(3):14-20.

王军,李仲勤.区域内插点的分布对GPS高程异常的影响[J].测绘与空间地理信息,2018,41(7):160-163.

吴亚坤,刘广明,杨劲松,等.基于反距离权重插值的土壤盐分三维分布解析方法[J].农业工程学报,2013,29(3):100-106.

赵艳玲,赵彬程,王鑫,等.基于地形分区IDW的复垦排土场土壤养分空间分布[J].煤田地质与勘探,2020,48(4):199-205.

刘静,蔡国学,刘洪斌.西南丘陵地区土壤有机质含量的空间插值法研究[J].西南大学学报(自然科学版),2008,30(3):107-112.

解恒燕,张深远,侯善策,等.降水量空间插值方法在小样本区域的比较研究[J].水土保持研究,2018,25(3):117-121.

刘静,蔡国学,刘洪斌.西南丘陵地区土壤有机质含量的空间插值法研究[J].西南大学学报(自然科学版),2008,30(3):107-112.

Views

512

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Spatiotemporal evolution and influencing factors of flood resilience in middle reaches of Yangtze River

Spatial Coupling Characteristics of Ecosystem Services and Residents’ Well- Being at Mining Area of Loess Plateau in Western Shanxi Province

Spatial-temporal Evolution of Habitat Quality and Its Influencing Factors in Loess Plateau

Spatio-temporal Evolution Characteristics and Driving Factors of Carbon Emissions in Dongrong Development Area of Eastern Guangxi Zhuang Autonomous Region

Landscape Ecological Risk Assessment and Its Driving Factor Analysis in Ordos-Yulin Area

Related Author

Xu Yao

Lan Xue

Ye Hongming

Wang Hui

Duan Baoling

Feng Qiang

Liang Xiuqin

Cao Ruichao

Related Institution

School of Geographical Sciences， China West Normal University， Nanchong

College of Resources and Environment, Shanxi University of Finance and Economics

School of Earth Science and Resources, Changan University, Xian

Shaanxi Key Laboratory of Land Reclamation Engineering, Xian

School of Land Engineering, Changan University, Xian

⁰