台湾红松林细死燃料水分模拟。

Q4 Agricultural and Biological Sciences Taiwan Journal of Forest Science Pub Date : 2004-03-01 DOI:10.7075/TJFS.200403.0027
Chau-Chin Lin
{"title":"台湾红松林细死燃料水分模拟。","authors":"Chau-Chin Lin","doi":"10.7075/TJFS.200403.0027","DOIUrl":null,"url":null,"abstract":"The main purpose of the present study was to model the relationship between meteorological factors and fine dead fuel moisture in Taiwan red pine (Pinus taiwanensis) forests. The study was conducted in Shei Pa and Yushan National Parks of Taiwan. Fuel moisture data were collected hourly on the sampled day by direct measurement of Taiwan red pine lifter samples. The linear regression models were selected to construct fuel moisture content equations. The results showed that the best variables to predict fuel moisture at both sites were relative humidity and air temperature.","PeriodicalId":22180,"journal":{"name":"Taiwan Journal of Forest Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Modeling fine dead fuel moisture in Taiwan red pine forests.\",\"authors\":\"Chau-Chin Lin\",\"doi\":\"10.7075/TJFS.200403.0027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The main purpose of the present study was to model the relationship between meteorological factors and fine dead fuel moisture in Taiwan red pine (Pinus taiwanensis) forests. The study was conducted in Shei Pa and Yushan National Parks of Taiwan. Fuel moisture data were collected hourly on the sampled day by direct measurement of Taiwan red pine lifter samples. The linear regression models were selected to construct fuel moisture content equations. The results showed that the best variables to predict fuel moisture at both sites were relative humidity and air temperature.\",\"PeriodicalId\":22180,\"journal\":{\"name\":\"Taiwan Journal of Forest Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Taiwan Journal of Forest Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7075/TJFS.200403.0027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Agricultural and Biological Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Taiwan Journal of Forest Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7075/TJFS.200403.0027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 7

摘要

摘要本研究的主要目的是建立气象因子与台湾红松林细死燃料水分的关系模型。本研究在台湾石坝和玉山国家公园进行。以台湾红松升降机样品为样本,每小时采集一次燃油水分数据。采用线性回归模型构建燃料含水率方程。结果表明,预测两个站点燃料湿度的最佳变量是相对湿度和空气温度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Modeling fine dead fuel moisture in Taiwan red pine forests.
The main purpose of the present study was to model the relationship between meteorological factors and fine dead fuel moisture in Taiwan red pine (Pinus taiwanensis) forests. The study was conducted in Shei Pa and Yushan National Parks of Taiwan. Fuel moisture data were collected hourly on the sampled day by direct measurement of Taiwan red pine lifter samples. The linear regression models were selected to construct fuel moisture content equations. The results showed that the best variables to predict fuel moisture at both sites were relative humidity and air temperature.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Taiwan Journal of Forest Science
Taiwan Journal of Forest Science Agricultural and Biological Sciences-Forestry
CiteScore
0.20
自引率
0.00%
发文量
0
期刊介绍: The Taiwan Journal of Forest Science is an academic publication that welcomes contributions from around the world. The journal covers all aspects of forest research, both basic and applied, including Forest Biology and Ecology (tree breeding, silviculture, soils, etc.), Forest Management (watershed management, forest pests and diseases, forest fire, wildlife, recreation, etc.), Biotechnology, and Wood Science. Manuscripts acceptable to the journal include (1) research papers, (2) research notes, (3) review articles, and (4) monographs. A research note differs from a research paper in its scope which is less-comprehensive, yet it contains important information. In other words, a research note offers an innovative perspective or new discovery which is worthy of early disclosure.
期刊最新文献
Pinus sylvestris Can Form Ectomycorrhiza with Phialocephala fortinii Carbon Storage and Density of Forest Ecosystems in Heilongjiang Province, China Building allometric models to estimate above-ground and below-ground biomass of mahogany sapling. Effects of Soil Properties on Restoring Indigenous Plants in Coral Reef Landscapes Response variations of Alnus subcordata (L.), Populus deltoides (Bartr. ex Marsh.), and Taxodium distichum (L.) seedlings to flooding stress.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1