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(CRAM) For Wetlands User's Manual Version 5.0.2

(CRAM) For Wetlands User's Manual Version 5.0.2

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California Rapid Assessment Method for <strong>Wetlands</strong> v. <strong>5.0.2</strong> – Chapter 3<br />

<strong>For</strong> air photos and other imagery, the minimum pixel resolution is 3m (i.e., each pixel in the<br />

digital image of a site should represent no more than about 9m 2 of area). Existing Digital<br />

Orthogonal Quarterly Quadrangles (DOQQs) dating from 1998 to 2004 with a pixel resolution<br />

of 3m, and geo-rectified natural color imagery dated 2005 with a pixel resolution of 1m are<br />

available from the National Agriculture Imagery Program (NAIP) for the entire state. The<br />

e<strong>CRAM</strong> software is designed to work with any geo-rectified imagery that can be loaded into the<br />

image directory and then used with a tablet computer or laptop in the field to map AAs and to<br />

conduct the assessment using <strong>CRAM</strong>.<br />

3.7 Step 7: Conduct Field Assessment of Condition Metrics and Stressors<br />

After assembling the background information about the wetland to be assessed, the next step is<br />

to conduct an assessment of the wetland in the field. A complete description of <strong>CRAM</strong> metrics<br />

and the Stressor Checklist is provided in Chapter 4. Fieldwork for <strong>CRAM</strong> consists of finding<br />

and confirming the boundaries of the AA, and scoring the AA based on the condition metrics<br />

and stressor checklist. Any field-based modifications of the preliminary AA boundary must be<br />

recorded on the site imagery.<br />

3.8 Step 8: Complete <strong>CRAM</strong> Scores and Basic QA/QC Procedures<br />

3.8.1 Calculating <strong>CRAM</strong> Scores<br />

Scores for <strong>CRAM</strong> are easily calculated. There is no weighting of any metrics or attributes.<br />

Weightings are not supported by theory or the validation exercises. Letter scores for each metric<br />

(A, B, C, D) are simply converted into whole integer scores (12, 9, 6, 3, respectively; see Step 1 in<br />

Table 3.11).<br />

<strong>For</strong> the Hydrology and Physical Structure attributes, the attribute scores are simply calculated as<br />

the sum of the component metric scores (see Step 2 in Table 3.11).<br />

<strong>For</strong> the Buffer and Landscape Context attribute, the submetric scores relating to buffer are<br />

combined into an overall buffer score that is added to the score for the Landscape Connectivity<br />

metric, using the formula in Step 2 in Table 3.11.<br />

<strong>For</strong> the Biotic Structure attribute, the Plant Community metric consists of three submetrics<br />

(Number of Plant Layers Present; Number of Co-dominant Species; and Percent Invasion).<br />

Prior to calculating the Biotic Structure attribute score, the values for these submetrics must be<br />

averaged. Then the Biotic Structure attribute score can be calculated as described in Table 3.11.<br />

Each raw attribute score is then converted into a percentage of the maximum possible score (see<br />

Step 3 in Table 3.11). This eliminates any weighting of one attribute relative to another due to<br />

their differences in numbers of component metrics and numbers of alternative states of the<br />

metrics.<br />

An overall AA score is calculated by averaging the attribute scores. All scores are rounded to the<br />

nearest whole percentage value (see Step 4 in Table 3.11).<br />

Different wetlands are likely to have different functions and ecological services due to<br />

differences in wetland form, structure, geomorphic setting, climatic regime, evolutionary stage,<br />

stressor regime, etc. It is therefore unlikely that the same <strong>CRAM</strong> score represents the same level<br />

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