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Grand Mesa, Uncompahgre and Gunnison National Forest Watershed Vulnerability Assessment, Rocky Mountain Region (R2) Sensitivity × Stressors Risk Ranking Matrix Sensitivity Sensitivity x Stressors Low Moderate High Low Low Low Low Moderate Low Low High High High High High The GMUG team working on the WVA felt that the inherent characteristics of a subwatershed would have greater influence on the overall watershed risk than the effects of past management activities. For this reason, if a subwatershed was ranked “High” for either one of the sensitivities, the watershed risk ranking was “High.” If the subwatershed ranking for either sensitivity was “Low,” the watershed risk ranking was “Low.” The following figures show the resulting watershed risk ranking for the erosion sensitivity combined with activity stressors (Figure 24) and the resulting watershed risk ranking for the runoff response sensitivity combined with activity stressors (Figure 25). In both figures, the subwatersheds with the highest risk are shown in red, and those with the lowest risk are shown in green. Figure 24. Erosion Sensitivity × Activity Stressors Ranking 98 Assessing the Vulnerability of Watersheds to Climate Change
Grand Mesa, Uncompahgre and Gunnison National Forest Watershed Vulnerability Assessment, Rocky Mountain Region (R2) There are a total of 58 “High” risk subwatersheds for Erosion Sensitivity × Activity Stressors. The majority of these subwatersheds are found in the San Juans, Upper Taylor, and West Elk geographic areas. Twenty-three of these subwatersheds have a “High” Risk Rating just for Erosion Sensitivity × Activity Stressors alone, and 35 also have a “High” risk for Runoff Response Sensitivity × Activity Stressors (compare with Figure 25). Figure 25. Runoff Response Sensitivity × Activity Stressors Ranking There are 63 “High” risk subwatersheds for Runoff Response Sensitivity × Activity Stressors. The majority of these subwatersheds are found in the San Juans and Grand Mesa geographic areas. Of these, 28 subwatersheds have a “High” risk rating for Runoff Response Sensitivity × Activity Stressors, while the remaining 35 are also “High” risk for Erosion Sensitivity × Activity Stressors (compare with Figure 24). RESULTS (VULNERABILITY) To determine relative vulnerability of identified aquatic resources to predicted climate change, we need to combine all the pieces described above (resource values, risk [inherent sensitivity of the land and past management], and exposure) to see where they overlap. Resources of concern are most vulnerable where they occur in subwatersheds with highest sensitivity. The additional stress from climate change is most likely to have greatest impact in these areas. Method Used to Rank Resource Values Relative to Watershed Risk The different aquatic resource values of concern identified for this WVA can be affected by erosion/sedimentation and runoff in different ways. For this reason, the results of the two different risk 99 Assessing the Vulnerability of Watersheds to Climate Change
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AUTHORS AND CONTRIBUTORS Authors* M
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ASSESSSING THE VULNERABILITY OF WAT
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staff; the task group included repr
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Figure 2. Conceptual model for asse
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Figure 3. Density of springs and sm
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Using Historic Data One finding con
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NF (Region 8) relied on information
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level of uncertainty. Though there
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climate (Casola et al. 2005). Only
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sensitivity. Most were derived from
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The sensitivity evaluation typicall
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in exposure. The result of combinin
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highest priority for management act
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to information affected the assessm
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with and rely on in many resource d
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Pilot National Forest Reports Conte
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Assessment of Watershed Vulnerabili
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Gallatin National Forest Watershed
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Coconino National Forest Watershed
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Sawtooth National Forest Watershed
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Shasta Trinity National Forest Wate
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Umatilla National Forest Watershed
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Ouachita National Forest Watershed
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Chequamegon-‐Nicolet National F
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Chugach National Forest Watershed V
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