J. Uusitalo, J. Ala-Ilomäki, Harri Lindeman, Jenny Toivio, M. Sirén
{"title":"细粒山地森林土壤水分-强度关系模拟","authors":"J. Uusitalo, J. Ala-Ilomäki, Harri Lindeman, Jenny Toivio, M. Sirén","doi":"10.14214/SF.10050","DOIUrl":null,"url":null,"abstract":"The strength of soil is known to be dependent on water content but the relationship is strongly affected by the type of soil. Accurate moisture content â soil strength models will provide forest managers with the improved ability to reduce soil disturbances and increase annual forest machine utilization rates. The aim of this study was to examine soil strength and how it is connected to the physical properties of fine-grained forest soils; and develop models that could be applied in practical forestry to make predictions on rutting induced by forest machines. Field studies were conducted on two separate forests in Southern Finland. The data consisted of parallel measurements of dry soil bulk density (BD), volumetric water content (VWC) and penetration resistance (PR). The model performance was logical, and the results were in harmony with earlier findings. The accuracy of the models created was tested with independent data. The models may be regarded rather trustworthy, since no significant bias was found. Mean absolute error of roughly 20% was found which may be regarded as acceptable taken into account the character of the penetrometer tool. The models can be linked with mobility models predicting either risks of rutting, compaction or rolling resistance.","PeriodicalId":49520,"journal":{"name":"Silva Fennica","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Modelling soil moisture – soil strength relationship of fine-grained upland forest soils\",\"authors\":\"J. Uusitalo, J. Ala-Ilomäki, Harri Lindeman, Jenny Toivio, M. Sirén\",\"doi\":\"10.14214/SF.10050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The strength of soil is known to be dependent on water content but the relationship is strongly affected by the type of soil. Accurate moisture content â soil strength models will provide forest managers with the improved ability to reduce soil disturbances and increase annual forest machine utilization rates. The aim of this study was to examine soil strength and how it is connected to the physical properties of fine-grained forest soils; and develop models that could be applied in practical forestry to make predictions on rutting induced by forest machines. Field studies were conducted on two separate forests in Southern Finland. The data consisted of parallel measurements of dry soil bulk density (BD), volumetric water content (VWC) and penetration resistance (PR). The model performance was logical, and the results were in harmony with earlier findings. The accuracy of the models created was tested with independent data. The models may be regarded rather trustworthy, since no significant bias was found. Mean absolute error of roughly 20% was found which may be regarded as acceptable taken into account the character of the penetrometer tool. The models can be linked with mobility models predicting either risks of rutting, compaction or rolling resistance.\",\"PeriodicalId\":49520,\"journal\":{\"name\":\"Silva Fennica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Silva Fennica\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.14214/SF.10050\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Silva Fennica","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.14214/SF.10050","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FORESTRY","Score":null,"Total":0}
The strength of soil is known to be dependent on water content but the relationship is strongly affected by the type of soil. Accurate moisture content â soil strength models will provide forest managers with the improved ability to reduce soil disturbances and increase annual forest machine utilization rates. The aim of this study was to examine soil strength and how it is connected to the physical properties of fine-grained forest soils; and develop models that could be applied in practical forestry to make predictions on rutting induced by forest machines. Field studies were conducted on two separate forests in Southern Finland. The data consisted of parallel measurements of dry soil bulk density (BD), volumetric water content (VWC) and penetration resistance (PR). The model performance was logical, and the results were in harmony with earlier findings. The accuracy of the models created was tested with independent data. The models may be regarded rather trustworthy, since no significant bias was found. Mean absolute error of roughly 20% was found which may be regarded as acceptable taken into account the character of the penetrometer tool. The models can be linked with mobility models predicting either risks of rutting, compaction or rolling resistance.
期刊介绍:
Silva Fennica publishes significant new knowledge on forest sciences. The scope covers research on forestry and forest ecosystems. Silva Fennica aims to increase understanding on forest ecosystems, and sustainable use and conservation of forest resources. Use of forest resources includes all aspects of forestry containing biomass-based and non-timber products, economic and social factors etc.