E. E. Gongnet, C. Agbangba, Tranquillin Sédjro Affossogbe, R. G. Kakaï
{"title":"基于贝叶斯最大熵(BME)的贝宁阿丁尼贡土壤有机质空间预测","authors":"E. E. Gongnet, C. Agbangba, Tranquillin Sédjro Affossogbe, R. G. Kakaï","doi":"10.16929/ajas/2022.1279.268","DOIUrl":null,"url":null,"abstract":"Demographic pressure and climate change have heavily affected soil fertility. Proper soil management requires the understanding of the spatial variation of soil properties. In this study, Bayesian maximum Entropy (BME) was used to explore the variation of soil pH and soil organic matter (SOM) at Adingningon (Benin) using 106 soil samples. The predicting maps indicated a lower concentration (0.6 to 0.8g/kg) of SOM toward the center and pH mostly around 5.8 to 6.5 with lower error variance, suggesting an acidic soil. This results provide useful information for managing soil fertility to improve crop yields.\\\\","PeriodicalId":332314,"journal":{"name":"African Journal of Applied Statistics","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial prediction of soil organic matter in Adingnigon (Benin) using Bayesian Maximum Entropy (BME)\",\"authors\":\"E. E. Gongnet, C. Agbangba, Tranquillin Sédjro Affossogbe, R. G. Kakaï\",\"doi\":\"10.16929/ajas/2022.1279.268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Demographic pressure and climate change have heavily affected soil fertility. Proper soil management requires the understanding of the spatial variation of soil properties. In this study, Bayesian maximum Entropy (BME) was used to explore the variation of soil pH and soil organic matter (SOM) at Adingningon (Benin) using 106 soil samples. The predicting maps indicated a lower concentration (0.6 to 0.8g/kg) of SOM toward the center and pH mostly around 5.8 to 6.5 with lower error variance, suggesting an acidic soil. This results provide useful information for managing soil fertility to improve crop yields.\\\\\\\\\",\"PeriodicalId\":332314,\"journal\":{\"name\":\"African Journal of Applied Statistics\",\"volume\":\"108 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"African Journal of Applied Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.16929/ajas/2022.1279.268\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"African Journal of Applied Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.16929/ajas/2022.1279.268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatial prediction of soil organic matter in Adingnigon (Benin) using Bayesian Maximum Entropy (BME)
Demographic pressure and climate change have heavily affected soil fertility. Proper soil management requires the understanding of the spatial variation of soil properties. In this study, Bayesian maximum Entropy (BME) was used to explore the variation of soil pH and soil organic matter (SOM) at Adingningon (Benin) using 106 soil samples. The predicting maps indicated a lower concentration (0.6 to 0.8g/kg) of SOM toward the center and pH mostly around 5.8 to 6.5 with lower error variance, suggesting an acidic soil. This results provide useful information for managing soil fertility to improve crop yields.\\
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
