基于可见-近红外光谱技术的广东典型地区耕地土壤养分含量预测模型评估  

Assessment for soil nutrient content prediction model based on visible-near infrared spectroscopy in the typical regions of Guangdong Province

作　　者：钟鹤森 李玮 张泽宇 吴玲 鄂东梅 张孟豪 许腾伟 戴军[1] 张池[1] ZHONG Hesen;LI Wei;ZHANG Zeyu;WU Ling;E Dongmei;ZHANG Menghao;XU Tengwei;DAI Jun;ZHANG Chi(College of Natural Resources and Environment,South China Agricultural University,Guangzhou 510642,China;College of Land Science and Technology,China Agricultural University,Beijing 100193,China;Foshwa(Beijing)Technology&Trade Co.,Ltd.,Beijing 100081,China)

机构地区：[1]华南农业大学资源环境学院,广东广州510642 [2]中国农业大学土地科学与技术学院,北京100193 [3]福斯华(北京)科贸有限公司,北京100081

出　　处：《华南农业大学学报》2024年第2期218-226,共9页Journal of South China Agricultural University

基　　金：国家自然科学基金(41601227,41201305);广东省自然科学基金(2021A1515011543);广东省农业科技发展及资源环境保护管理项目(2022KJ161);国家重点研发专项(2022YFC3703102)。

摘　　要：【目的】可见-近红外光谱(Visible-near infrared spectroscopy,VNIRS)可以利用少量土壤样品建立预测模型,从而无损快速地预测土壤养分含量。然而,至今鲜见广东省土壤养分的VNIRS预测模型的报道。本研究旨在通过传统化学分析方法和VNIRS技术对广东典型地区的耕地土壤进行分析,构建土壤全量及速效养分含量的VNIRS预测模型,并评估利用光谱分析土壤全量和速效养分含量的可行性,为广东省土壤养分的快速检测及质量评估提供科学参考。【方法】本研究采集了粤东(梅州)、粤西(湛江)、粤北(韶关)、粤西北(肇庆)和珠三角(惠州和珠海) 5个地区共514份耕地土壤样品,测量样品有机质、全氮、可溶性有机碳、碱解氮和速效磷含量,同时利用VNIRS在400~2 490 nm波长范围内探明其全光谱特征,筛选定标样品,结合偏最小二乘法和主成分分析,建立预测模型,并在此基础上进行反向验证,评估模型的可行性。【结果】各地区土壤有机质、全氮、可溶性有机碳、碱解氮和速效磷含量及光谱特征均存在显著差异。有机质和全氮的定标预测模型效果较好,其中,粤西北地区的有机质定标相关系数达到0.831 1,珠三角地区的全氮定标相关系数达到0.789 8;可溶性有机碳、碱解氮和速效磷的预测模型效果在地区间差异较大,粤西北和珠三角地区碱解氮和速效磷的定标效果远优于其他地区。反向验证结果表明,有机质和全氮的预测值与实测值具有较好的相关性,决定系数(R2)最高分别达到0.69和0.65;粤西北和珠三角地区碱解氮的反向验证结果也较好,R2达到0.63和0.62;而可溶性有机碳和速效磷的反向验证结果总体较差。【结论】VNIRS技术能够区分省域内不同地区的土壤来源,可以作为未来土壤分类和土壤质量调查的重要评价指标。VNIRS技术能够较好地直接预测耕地土壤有机质和全氮含量,对可溶性有机碳�【Objective】Visible-near-infrared spectroscopy(VNIRS)can non-invasively and rapidly predict soil nutrient contents based on models developed using data of some representative soil samples,but soil nutrient content prediction models for different regions of Guangdong Province are still lacking.In this study,representative agricultural soil samples were collected from Guangdong Province,and models were developed based on the traditional soil chemical analyses and VNIRS spectral signatures.The objective was to assess the predictive ability of the models for soil total and available nutrients so as to provide a scientific basis for rapid soil nutrient content estimation and soil quality evaluation in Guangdong Province.【Method】A total of 514 representative soil samples were collected from the east(Meizhou),west(Zhanjiang),north(Shaoguan),and northwest regions(Zhaoqing)and the Pearl River Delta(Huizhou and Zhuhai)in Guangdong Province,and the contents of soil organic matter,total nitrogen,dissolved organic carbon,available nitrogen,and available phosphorus were analyzed.In addition,the VNIRS spectral signatures of soil samples were obtained between 400 and 2490 nm.Models were developed and calibrated using partial least squares regression combined with principal component analysis,and the models were reversely validated and assessed for their predictive abilities.【Result】There were significant differences in the contents of soil organic matter,total nitrogen,dissolved organic carbon,available nitrogen and available phosphorus and VNIRS spectral signatures among the soils from different regions.The models for soil organic matter and total nitrogen showed good prediction performances,with validation determination coefficients of 0.8311 for soil organic matter in the northwest region and 0.7898 for total nitrogen in the Pearl River Delta.The models for dissolved organic carbon,available nitrogen,and available phosphorus showed very different prediction performances among regions,with much better performances f

关 键 词：可见-近红外光谱 广东 耕地土壤 土壤养分 偏最小二乘法 

分 类 号：S151.9[农业科学—土壤学]