Delineation of Management Zones for Site-Specific Soil Nutrient Management for Sustainable Crop Production

IF 3.6 2区农林科学 Q2 ENVIRONMENTAL SCIENCES

Land Degradation & Development Pub Date : 2024-10-22 DOI:10.1002/ldr.5357

Arvind Kumar Shukla, Sanjib Kumar Behera, Pardeep Kumar, Rahul Mishra, Vimal Shukla, Satya Pratap Pachauri, Yogesh Sikaniya, Prakash Chandra Srivastava, Akanksha Sikarwar, Dileep Kumar, Siba Prasad Datta

{"title":"Delineation of Management Zones for Site-Specific Soil Nutrient Management for Sustainable Crop Production","authors":"Arvind Kumar Shukla, Sanjib Kumar Behera, Pardeep Kumar, Rahul Mishra, Vimal Shukla, Satya Pratap Pachauri, Yogesh Sikaniya, Prakash Chandra Srivastava, Akanksha Sikarwar, Dileep Kumar, Siba Prasad Datta","doi":"10.1002/ldr.5357","DOIUrl":null,"url":null,"abstract":"Soil nutrients deficiencies are one of the major causes of soil degradation in different parts of World, adversely impacting crop production. Delineation of soil nutrients management zones (MZs) is one of the commonly used techniques for evaluating spatial distribution pattern of soil parameters for adoption of site-specific nutrient management. We, therefore, conducted the present study to understand the spatial distribution pattern of soil nutrients and their associated soil properties, and to delineate soil nutrients MZs in a north-western Indian Himalayan (NWIH) region. A total of 18,930 representative surface (0–15 cm depth) soil samples were collected and processed. The processed soil sample were analyzed for pH, and electrical conductivity (EC), soil organic carbon (SOC), available N (AN), available P (AP), available potassium (AK), exchangeable Ca (Ex. Ca), exchangeable Mg (Ex. Mg), available S (AS), available Zn (AZn), available Fe (AFe), available Cu (ACu), available Mn (AMn) and available B (AB). The values of studied soil parameters varied widely with coefficient of variation ranging from 11.8% to 156%. Semivariogram analysis revealed stable, exponential and Gaussian best-fit models for different soil parameters with weak (AP and AB), moderate (rest of soil parameters) and strong (AS) spatial dependence. Varied distribution pattern of soil parameters was visualized from ordinary kriging interpolation. Five soil nutrient management zones (MZs) were identified (using fuzzy performance index and normalized classification entropy values) by employing the techniques of principal component analysis and fuzzy c-means clustering. Principal components with Eigen value > 1 were considered for further analysis. The soil parameters of identified MZs differed significantly. Thus, the study highlighted the usefulness of MZ delineation technique for site-specific soil nutrient management in different cultivated areas for sustainable crop production. The developed MZ maps could suitably be used for efficient management of agronomic inputs especially fertilizer nutrients for improved environmental and economic efficiency.","PeriodicalId":203,"journal":{"name":"Land Degradation & Development","volume":"1 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Land Degradation & Development","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1002/ldr.5357","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}

引用次数: 0

Abstract

Soil nutrients deficiencies are one of the major causes of soil degradation in different parts of World, adversely impacting crop production. Delineation of soil nutrients management zones (MZs) is one of the commonly used techniques for evaluating spatial distribution pattern of soil parameters for adoption of site-specific nutrient management. We, therefore, conducted the present study to understand the spatial distribution pattern of soil nutrients and their associated soil properties, and to delineate soil nutrients MZs in a north-western Indian Himalayan (NWIH) region. A total of 18,930 representative surface (0–15 cm depth) soil samples were collected and processed. The processed soil sample were analyzed for pH, and electrical conductivity (EC), soil organic carbon (SOC), available N (AN), available P (AP), available potassium (AK), exchangeable Ca (Ex. Ca), exchangeable Mg (Ex. Mg), available S (AS), available Zn (AZn), available Fe (AFe), available Cu (ACu), available Mn (AMn) and available B (AB). The values of studied soil parameters varied widely with coefficient of variation ranging from 11.8% to 156%. Semivariogram analysis revealed stable, exponential and Gaussian best-fit models for different soil parameters with weak (AP and AB), moderate (rest of soil parameters) and strong (AS) spatial dependence. Varied distribution pattern of soil parameters was visualized from ordinary kriging interpolation. Five soil nutrient management zones (MZs) were identified (using fuzzy performance index and normalized classification entropy values) by employing the techniques of principal component analysis and fuzzy c-means clustering. Principal components with Eigen value > 1 were considered for further analysis. The soil parameters of identified MZs differed significantly. Thus, the study highlighted the usefulness of MZ delineation technique for site-specific soil nutrient management in different cultivated areas for sustainable crop production. The developed MZ maps could suitably be used for efficient management of agronomic inputs especially fertilizer nutrients for improved environmental and economic efficiency.

查看原文本刊更多论文

划定特定地点土壤养分管理区，促进可持续作物生产

土壤养分缺乏是世界不同地区土壤退化的主要原因之一，对作物生产造成了不利影响。划定土壤养分管理区（MZs）是评估土壤参数空间分布模式的常用技术之一，以便采取因地制宜的养分管理措施。因此，我们开展了本研究，以了解土壤养分的空间分布模式及其相关的土壤特性，并在印度喜马拉雅山西北部（NWIH）地区划分土壤养分管理区。研究人员共采集并处理了 18,930 份具有代表性的地表（0-15 厘米深）土壤样本。对处理后的土壤样本进行了 pH 值、导电率 (EC)、土壤有机碳 (SOC)、可利用氮 (AN)、可利用磷 (AP)、可利用钾 (AK)、可交换钙 (Ex.Ca)、可交换镁 (Ex.Mg)、可利用硫 (AS)、可利用锌 (AZn)、可利用铁 (AFe)、可利用铜 (ACu)、可利用锰 (AMn) 和可利用硼 (AB) 分析。所研究的土壤参数值差异很大，变异系数从 11.8% 到 156%不等。半变量图分析表明，不同土壤参数的最佳拟合模型为稳定型、指数型和高斯型，其空间依赖性分别为弱（AP 和 AB）、中（其他土壤参数）和强（AS）。通过普通克里格插值法，可以直观地看到土壤参数的不同分布模式。利用主成分分析和模糊 c-means 聚类技术，确定了五个土壤养分管理区（采用模糊性能指数和归一化分类熵值）。特征值为 1 的主成分被考虑用于进一步分析。所确定的 MZ 的土壤参数差异显著。因此，该研究强调了 MZ 划分技术在不同耕地土壤养分管理中的实用性。所绘制的 MZ 地图可用于有效管理农艺投入，尤其是肥料养分，以提高环境和经济效益。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Land Degradation & Development 农林科学-环境科学

CiteScore

7.70

自引率

8.50%

发文量

379

审稿时长

5.5 months

期刊介绍： Land Degradation & Development is an international journal which seeks to promote rational study of the recognition, monitoring, control and rehabilitation of degradation in terrestrial environments. The journal focuses on: - what land degradation is; - what causes land degradation; - the impacts of land degradation - the scale of land degradation; - the history, current status or future trends of land degradation; - avoidance, mitigation and control of land degradation; - remedial actions to rehabilitate or restore degraded land; - sustainable land management.