1999
DOI: 10.2737/pnw-rp-514
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Using estimates of natural variation to detect ecologically important change in forest spatial patterns: a case study, Cascade Range, eastern Washington.

Abstract: Using hierarchical clustering techniques, we grouped subwatersheds on the eastern slope of the Cascade Range in Washington State into ecological subregions by similarity of area in potential vegetation and climate attributes. We then built spatially continous historical and current vegetation maps for 48 randomly selected subwatersheds from interpretations of 1938-49 and 1985-93 aerial photos, respectively, and attributed cover types, structural classes, and potential vegetation types to individual patches by… Show more

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Cited by 25 publications
(18 citation statements)
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“…Numerous studies used interpretation of early, stereo, black and white aerial photography to better understand variation in landscape patch patterns and development of stand structure in relation to fire history (Habeck, 1976;Hessburg et al, 1999aHessburg et al, , 1999bHessburg et al, , 1999dHessburg et al, , 2000aHessburg et al, , 2007Skinner, 1998, 2003;Taylor, 2001, 2008;Taylor, 2001, 2010). Nearly all studies found a strong influence of topography on patch and stand structure patterns (discussed above).…”
Section: The Importance Of Meso-scale Heterogeneitymentioning
confidence: 99%
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“…Numerous studies used interpretation of early, stereo, black and white aerial photography to better understand variation in landscape patch patterns and development of stand structure in relation to fire history (Habeck, 1976;Hessburg et al, 1999aHessburg et al, , 1999bHessburg et al, , 1999dHessburg et al, , 2000aHessburg et al, , 2007Skinner, 1998, 2003;Taylor, 2001, 2008;Taylor, 2001, 2010). Nearly all studies found a strong influence of topography on patch and stand structure patterns (discussed above).…”
Section: The Importance Of Meso-scale Heterogeneitymentioning
confidence: 99%
“…Many authors have focused attention on better understanding historical variability in meso-scale successional patterns (hereafter, the HRV) and its central role in landscape restoration (e.g., Allen et al, 2002;Hessburg et al, 1999bHessburg et al, , 1999dLandres et al, 1999;Morgan et al, 1994;Swanson et al, 1994;Swetnam et al, 1999;Millar and Woolfenden, 1999;Keane et al, 2009;Moritz et al, 2013;Wiens et al, 2012). Most discussions point to a pivotal role of using HRV information to guide landscape restoration, especially to understand how meso-scale successional patterns provided critical context for the variability of the local wildfire regime.…”
Section: The Importance Of Understanding the Historical Range Of Varimentioning
confidence: 99%
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“…Prior to the era of settlement, regional landscape resilience to wildfires naturally derived from mosaics of previously burned and recovering vegetation patches from prior wildfire events, and a predictable distribution of prior fire-event sizes [41]. This resilience yielded a finite and semi-predictable array of pattern conditions [42][43][44][45].…”
Section: Introductionmentioning
confidence: 99%