美国农业部林业局的森林资源清查与分析数据库和国家冠军树登记册--潜在的共生关系

IF 1.8 3区 农林科学 Q2 FORESTRY Journal of Forestry Pub Date : 2024-01-11 DOI:10.1093/jofore/fvad058
Francis A. Roesch, Todd A Schroeder, Charles A Price
{"title":"美国农业部林业局的森林资源清查与分析数据库和国家冠军树登记册--潜在的共生关系","authors":"Francis A. Roesch, Todd A Schroeder, Charles A Price","doi":"10.1093/jofore/fvad058","DOIUrl":null,"url":null,"abstract":"\n This article shows how probability sampling and citizen science efforts can complement each other, using the USDA Forest Service’s Forest Inventory and Analysis (FIA) program and the ongoing search by the National Register of Champion Trees (NRCT) for the largest specimen of each naturally occurring tree species in the United States as an example. We develop a ratio statistic (Zs) that uses the difference in size of the largest tree of a species from each database to order the tree species according to the assumed ease with which a larger specimen than the current national champion might be found. Our results show ninety-two candidate species that have been recorded by FIA for which there is no national champion and sixty-five species for which a new champion should be easy to find. In a supplemental table, we show ninety-four species listed as observable by FIA in the NRCT but not recorded in the FIA sample.\n Study Implications: An interest in forests and forestry is always accompanied by an interest in trees, especially very big trees. Two very different ways of learning about trees are analyzed concurrently in a way that reveals their complementarity. The two efforts are the probability sample, conducted by the USDA Forest Service’s Forest Inventory and Analysis (FIA) Program, and the citizen science effort known as the National Register of Champion Trees (NRCT). We develop a statistic that will help tree sleuths find champion trees and provide FIA practitioners with a quality control measure and an indication of which species would benefit from an increase in sample intensity.","PeriodicalId":15821,"journal":{"name":"Journal of Forestry","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The USDA Forest Service’s Forest Inventory and Analysis Database and the National Register of Champion Trees — A Potentially Symbiotic Relationship\",\"authors\":\"Francis A. Roesch, Todd A Schroeder, Charles A Price\",\"doi\":\"10.1093/jofore/fvad058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n This article shows how probability sampling and citizen science efforts can complement each other, using the USDA Forest Service’s Forest Inventory and Analysis (FIA) program and the ongoing search by the National Register of Champion Trees (NRCT) for the largest specimen of each naturally occurring tree species in the United States as an example. We develop a ratio statistic (Zs) that uses the difference in size of the largest tree of a species from each database to order the tree species according to the assumed ease with which a larger specimen than the current national champion might be found. Our results show ninety-two candidate species that have been recorded by FIA for which there is no national champion and sixty-five species for which a new champion should be easy to find. In a supplemental table, we show ninety-four species listed as observable by FIA in the NRCT but not recorded in the FIA sample.\\n Study Implications: An interest in forests and forestry is always accompanied by an interest in trees, especially very big trees. Two very different ways of learning about trees are analyzed concurrently in a way that reveals their complementarity. The two efforts are the probability sample, conducted by the USDA Forest Service’s Forest Inventory and Analysis (FIA) Program, and the citizen science effort known as the National Register of Champion Trees (NRCT). We develop a statistic that will help tree sleuths find champion trees and provide FIA practitioners with a quality control measure and an indication of which species would benefit from an increase in sample intensity.\",\"PeriodicalId\":15821,\"journal\":{\"name\":\"Journal of Forestry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Forestry\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1093/jofore/fvad058\",\"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":"Journal of Forestry","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1093/jofore/fvad058","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FORESTRY","Score":null,"Total":0}
引用次数: 0

摘要

本文以美国农业部林务局的森林资源清查与分析 (FIA) 计划和美国国家冠军树登记 (NRCT) 正在进行的寻找美国各自然生成树种最大标本的工作为例,说明概率取样和公民科学工作如何能够相辅相成。我们开发了一种比值统计量(Zs),利用每个数据库中某一树种最大树木的大小差异,根据找到比当前国家冠军树更大标本的假定难易程度对树种进行排序。我们的结果表明,在 FIA 记录的候选树种中,有 92 个树种没有全国冠军,有 65 个树种应该很容易找到新的冠军。在补充表格中,我们显示了九十四个被 FIA 列为可在 NRCT 中观察到但未在 FIA 样本中记录的物种。研究意义:对森林和林业的兴趣总是伴随着对树木,尤其是大树的兴趣。本研究同时分析了了解树木的两种截然不同的方法,揭示了它们之间的互补性。这两种方式分别是美国农业部林业局森林资源调查与分析项目(FIA)开展的概率抽样调查,以及被称为 "全国冠军树登记册"(NRCT)的公民科学调查。我们开发了一种统计方法,可以帮助树木侦探找到冠军树,并为森林资源清查与分析从业人员提供了一种质量控制措施,同时也表明了哪些树种可以从样本密度的增加中获益。
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
The USDA Forest Service’s Forest Inventory and Analysis Database and the National Register of Champion Trees — A Potentially Symbiotic Relationship
This article shows how probability sampling and citizen science efforts can complement each other, using the USDA Forest Service’s Forest Inventory and Analysis (FIA) program and the ongoing search by the National Register of Champion Trees (NRCT) for the largest specimen of each naturally occurring tree species in the United States as an example. We develop a ratio statistic (Zs) that uses the difference in size of the largest tree of a species from each database to order the tree species according to the assumed ease with which a larger specimen than the current national champion might be found. Our results show ninety-two candidate species that have been recorded by FIA for which there is no national champion and sixty-five species for which a new champion should be easy to find. In a supplemental table, we show ninety-four species listed as observable by FIA in the NRCT but not recorded in the FIA sample. Study Implications: An interest in forests and forestry is always accompanied by an interest in trees, especially very big trees. Two very different ways of learning about trees are analyzed concurrently in a way that reveals their complementarity. The two efforts are the probability sample, conducted by the USDA Forest Service’s Forest Inventory and Analysis (FIA) Program, and the citizen science effort known as the National Register of Champion Trees (NRCT). We develop a statistic that will help tree sleuths find champion trees and provide FIA practitioners with a quality control measure and an indication of which species would benefit from an increase in sample intensity.
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
Journal of Forestry
Journal of Forestry 农林科学-林学
CiteScore
4.90
自引率
8.70%
发文量
45
审稿时长
>24 weeks
期刊介绍: The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry. The Journal is published bimonthly: January, March, May, July, September, and November.
期刊最新文献
Do Experimental Forests and Ranges of the Southeastern United States Represent the Climate, Ecosystem Structure, and Ecosystem Functions of the Region? Quantifying the Variability of “Fixed-Width” Buffers on Harvested Lands in Western Oregon and Washington Quiz Logging Business Challenges in the US South and Lake States Private Woodland Owner Perceptions of Threat and Efficacy Shape Management Responses for Climate Change Adaptation
×
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