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 Agricultural and Biological Sciences-Forestry

CiteScore

0.20

自引率

0.00%

发文量

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.