globalchange  > 气候变化事实与影响
DOI: 10.1186/s42408-018-0021-9
WOS记录号: WOS:000464837200001
论文题名:
Examining post-fire vegetation recovery with Landsat time series analysis in three western North American forest types
作者: Bright, Benjamin C.1; Hudak, Andrew T.1; Kennedy, Robert E.2; Braaten, Justin D.2; Khalyani, Azad Henareh3
通讯作者: Bright, Benjamin C.
刊名: FIRE ECOLOGY
ISSN: 1933-9747
出版年: 2019
卷: 15
语种: 英语
英文关键词: burn severity ; climate ; fire ; forest ; landsat ; North America ; satellite imagery ; time series ; vegetation recovery
WOS关键词: TREE SEEDLING ESTABLISHMENT ; YELLOWSTONE-NATIONAL-PARK ; SUB-ALPINE FORESTS ; FIRE SEVERITY ; BURN SEVERITY ; MEDITERRANEAN LANDSCAPE ; TEMPORAL PATTERNS ; CLIMATE-CHANGE ; WILDFIRE ; DISTURBANCE
WOS学科分类: Ecology ; Forestry
WOS研究方向: Environmental Sciences & Ecology ; Forestry
英文摘要:

Background: Few studies have examined post-fire vegetation recovery in temperate forest ecosystems with Landsat time series analysis. We analyzed time series of Normalized Burn Ratio (NBR) derived from LandTrendr spectral-temporal segmentation fitting to examine post-fire NBR recovery for several wildfires that occurred in three different coniferous forest types in western North America during the years 2000 to 2007. We summarized NBR recovery trends, and investigated the influence of burn severity, post-fire climate, and topography on post-fire vegetation recovery via random forest (RF) analysis.


Results: NBR recovery across forest types averaged 30 to 44% five years post fire, 47 to 72% ten years post fire, and 54 to 77% 13 years post fire, and varied by time since fire, severity, and forest type. Recovery rates were generally greatest for several years following fire. Recovery in terms of percent NBR was often greater for higher-severity patches. Recovery rates varied between forest types, with conifer-oak-chaparral showing the greatest NBR recovery rates, mixed conifer showing intermediate rates, and ponderosa pine showing slowest rates. Between 1 and 28% of patches had recovered to pre-fire NBR levels 9 to 16 years after fire, with greater percentages of low-severity patches showing full NBR recovery.


Precipitation decreased and temperatures generally remained the same or increased post fire. Pre-fire NBR and burn severity were important predictors of NBR recovery for all forest types, and explained 2 to 6% of the variation in post-fire NBR recovery. Post-fire climate anomalies were also important predictors of NBR recovery and explained an additional 30 to 41% of the variation in post-fire NBR recovery.


Conclusions: Landsat time series analysis was a useful means of describing and analyzing post-fire vegetation recovery across mixed-severity wildfire extents. We demonstrated that a relationship exists between post-fire vegetation recovery and climate in temperate ecosystems of western North America. Our methods could be applied to other burned landscapes for which spatially explicit measurements of post-fire vegetation recovery are needed.


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被引频次[WOS]:98   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/134203
Appears in Collections:气候变化事实与影响

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作者单位: 1.USDA Forest Serv, Rocky Mt Res Stn, 1221 S Main St, Moscow, ID 83843 USA
2.Oregon State Univ, Coll Earth Ocean & Atmospher Sci, 104 CEOAS Adm Bldg,101 SW 26th St, Corvallis, OR 97331 USA
3.Colorado State Univ, Nat Resource Ecol Lab, NESB Bldg,1499 Campus Delivery,A215, Ft Collins, CO 80523 USA

Recommended Citation:
Bright, Benjamin C.,Hudak, Andrew T.,Kennedy, Robert E.,et al. Examining post-fire vegetation recovery with Landsat time series analysis in three western North American forest types[J]. FIRE ECOLOGY,2019-01-01,15
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