DOI: 10.1016/j.foreco.2017.05.021
Scopus记录号: 2-s2.0-85019728753
论文题名: Characterizing historical fire patterns as a guide for harvesting planning using landscape metrics derived from long term satellite imagery
作者: San-Miguel I. ; Andison D.W. ; Coops N.C.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 399 起始页码: 155
结束页码: 165
语种: 英语
英文关键词: Fire emulation
; Fire patterns
; Harvesting
; Historical range of variability
; Landsat sensor
; Patch metrics
Scopus关键词: Cost effectiveness
; Forestry
; Harvesting
; Satellite imagery
; Conventional approach
; Fire patterns
; Historical range of variability
; Landsat sensors
; Patch metrics
; Saskatchewan , Canada
; Spatial representations
; Standardized methods
; Fires
; aerial photograph
; boreal forest
; drought
; forest fire
; forest management
; harvesting
; Landsat
; landscape ecology
; management practice
; satellite data
; satellite imagery
; satellite sensor
; Alberta
; Canada
; Saskatchewan
英文摘要: Forest managers across the Canadian boreal require detailed fire pattern information to support disturbance-based management. However, there are no consistent classifications of post-fire patterns, and those that exist rely on field-data that is both expensive and lacking in spatial representation. As a result, across the managed boreal forest there is limited fire pattern information, no standardized protocols to derive the quantitative fire pattern information nor agreement on the most appropriate metrics needed to implement management planning based on emulating natural disturbances. In this paper we first derived three classes of tree mortality based on Landsat spectral data and aerially photo-interpreted (API) polygons. Next we used these derived classes to compute seven fire pattern metrics over 14 fires that occurred from 1984 to 2006 in the Canadian provinces of Alberta and Saskatchewan, Canada. We then compared the metrics derived from the Landsat data to those computed from the API coverage. Lastly, we assessed the influence of a suite of environmental and fire pattern variables on the Landsat-derived indices. Overall we found very close correspondence for the two event-scale indices: the total area affected by fire and the complexity of the perimeter. The more detailed within-fire event metrics presented more varied results and were somewhat less precise. For example, the total amount of residuals or the largest disturbed patch were accurately captured. Other indices such as the number of disturbed patches or total amount of island remnants presented moderate systematic biases, but still might be serviceable given that the biases were predictable in direction. Fire size and seasonal drought variables were the most correlated with the Landsat derived pattern indices and their inclusion as model variables is likely to increase overall prediction accuracy. A pan-boreal geospatial database of detailed fire pattern metrics would be an invaluable tool to support the implementation of disturbance-based management approaches. Here we demonstrate that a cost-effective Landsat methods produces comparable fire pattern information to conventional approaches based on manual interpretation of aerial photographs. Building upon the standardized methods proposed here hundreds of fires could be mapped, to potentially, create a comprehensive national fire pattern database. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64275
Appears in Collections: 影响、适应和脆弱性
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作者单位: Integrated Remote Sensing Studio, Department of Forest Resources Management, University of British Columbia, 2424 Main Mall, Vancouver, BC, Canada; Bandaloop Landscape-Ecosystem Services, 1011 Hendecourt Road, North Vancouver, BC, Canada
Recommended Citation:
San-Miguel I.,Andison D.W.,Coops N.C.. Characterizing historical fire patterns as a guide for harvesting planning using landscape metrics derived from long term satellite imagery[J]. Forest Ecology and Management,2017-01-01,399