globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2015.10.015
Scopus记录号: 2-s2.0-84945205640
论文题名:
Tree mortality based fire severity classification for forest inventories: A Pacific Northwest national forests example
作者: Whittier T.R.; Gray A.N.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2016
卷: 359
起始页码: 199
结束页码: 209
语种: 英语
英文关键词: Fire effects ; Forest Inventory and Analysis (FIA) ; Forest monitoring ; Probabilistic sampling ; Tree remeasurement ; Wildfire
Scopus关键词: Bond (masonry) ; Classification (of information) ; Deforestation ; Equivalence classes ; Fire hazards ; Fires ; Image classification ; Fire effect ; Forest inventory and analysis ; Forest monitoring ; Probabilistic sampling ; Tree remeasurement ; Wildfire ; Forestry ; biomonitoring ; forest fire ; forest inventory ; forest management ; measurement method ; mortality risk ; probability ; remote sensing ; satellite imagery ; understory ; wildfire ; Oregon ; Pacific Northwest ; United States ; Washington [United States]
英文摘要: Determining how the frequency, severity, and extent of forest fires are changing in response to changes in management and climate is a key concern in many regions where fire is an important natural disturbance. In the USA the only national-scale fire severity classification uses satellite image change-detection to produce maps for large (>400. ha) fires, and is generated by the Monitoring Trends in Burn Severity (MTBS) program. It is not clear how much forested area burns in smaller fires or whether ground-based fire severity estimates from a statistical sample of all forest lands might provide additional, useful information. We developed a tree mortality based fire severity classification using remeasured tree data from 10,008 plots in a probabilistic survey of National Forests System (NFS) lands in Oregon and Washington, using 8 tree mortality and abundance metrics. We estimate that 12.5% (±0.7% SE) of NFS forest lands in the region experienced a fire event during 1993-2007, with an annual rate of 0.96% (±0.05%). An estimated 6.5% of forest lands burned at High Severity or Moderate Severity; 2.1% burned at Very Low severity or only experienced surface or understory fire. A total of 358 of the 507 burned plots were within the MTBS perimeters, with ~45% having equivalent severity classifications; but for ~51% of the plots the MTBS classifications suggested lower severity than the tree-mortality based classes. Based on events recorded on plots and the inventory design, we estimate that 20.9% of the forested NFS lands experiencing fires, either wildfires or prescribed burns, were not in the MTBS maps. Tree mortality based fire severity classifications, combined with remotely-sensed and management information on timing and treatments, could be readily applied to nationally-consistent Forest Inventory and Analysis (FIA) data to provide improved monitoring of fire effects anywhere in the USA sampled by remeasured FIA inventories. © 2015 .
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65224
Appears in Collections:影响、适应和脆弱性

Files in This Item:

There are no files associated with this item.


作者单位: Department of Forest Ecosystems and Society, Oregon State University, Corvallis, OR, United States; USDA Forest Service, Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR, United States

Recommended Citation:
Whittier T.R.,Gray A.N.. Tree mortality based fire severity classification for forest inventories: A Pacific Northwest national forests example[J]. Forest Ecology and Management,2016-01-01,359
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Whittier T.R.]'s Articles
[Gray A.N.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Whittier T.R.]'s Articles
[Gray A.N.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Whittier T.R.]‘s Articles
[Gray A.N.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.