MARC Record from Library of Congress

LEADER: 03478cam a22004577a 4500
001 2011451681
003 DLC
005 20121020082419.0
008 110812s2011 oruab b f000 0 eng d
010 $a 2011451681
035 $a(OCoLC)ocn745919985
040 $aORE$cORE$dRLA$dDLC
042 $alccopycat
043 $an-us-wa
050 00 $aSD390.3.U6$bE83 2011
082 00 $a624.1/514$223
086 0 $aA 13.88:PNW-GTR-840
245 00 $aEvaluating soil risks associated with severe wildfire and ground-based logging /$cKeith M. Reynolds ... [et al.].
260 $aPortland, OR :$bU.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station,$c[2011]
300 $a27 p. :$bill., maps ;$c28 cm.
490 1 $aGeneral technical report PNW ;$vGTR-840
500 $aCover title.
500 $a"July, 2011."
504 $aIncludes bibliographical references (p. 21-27).
520 3 $aRehabilitation and timber-salvage activities after wildfire require rapid planning and rational decisions. Identifying areas with high risk for erosion and soil productivity losses is important. Moreover, allocation of corrective and mitigative efforts must be rational and prioritized. Our logic-based analysis of forested soil polygons on the Okanogan-Wenatchee National Forest was designed and implemented with the Ecosystem Management Decision Support (EMDS) system to evaluate risks to soil properties and productivity associated with moderate to severe wildfire and unmitigated use of ground-based logging equipment. Soil and related data are from standard National Cooperative Soil Surveys. We present results from one national forest management unit, encompassing 6,889 soil polygons and 69 438 ha. In the example area, 36.1 percent and 46.0 percent of the area were classified as sensitive to impacts from severe wildfire and unmitigated use of logging equipment, respectively, and there was a high degree of correspondence between the map of units sensitive to wildfire and the map of units sensitive to heavy equipment. We discuss options for extending the current model and considerations for validating key model components.
530 $aAlso available on the internet.
650 0 $aSoil productivity$zWashington (State)$zOkanogan National Forest$xEvaluation.
650 0 $aSoil productivity$zWashington (State)$zWenatchee National Forest$xEvaluation.
650 0 $aSoil protection$zWashington (State)$zOkanogan National Forest$xDecision making.
650 0 $aSoil protection$zWashington (State)$zWenatchee National Forest$xDecision making.
650 0 $aForest soils$xEffect of logging on$zWashington (State)$zOkanogan National Forest$xComputer simulation.
650 0 $aForest soils$xEffect of logging on$zWashington (State)$zWenatchee National Forest$xComputer simulation.
650 0 $aSoils$xEffect of fires on$zWashington (State)$zOkanogan National Forest$xComputer simulation.
650 0 $aSoils$xEffect of fires on$zWashington (State)$zWenatchee National Forest$xComputer simulation.
650 0 $aSoil erosion prediction$zWashington (State)$zOkanogan National Forest.
650 0 $aSoil erosion prediction$zWashington (State)$zWenatchee National Forest.
700 1 $aReynolds, Keith M.
710 2 $aPacific Northwest Research Station (Portland, Or.)
830 0 $aGeneral technical report PNW ;$v840.
856 41 $uhttp://www.arlis.org/docs/vol1/C/745919985.pdf$zPURL
856 41 $uhttp://www.fs.fed.us/pnw/pubs/pnw_gtr840.pdf