Willits Bypass Project - Niesen 108-40-02
|Project Type||Compensatory mitigation||Location||Not Mapped|
|Project Area (Acres)||No Data||Last Updated||4 March 2019|
|Project Abstract||No Data|
|Project Groups||Willits Bypass Project|
|Activity||Habitat||SubHabitat||Acres||Activity Status||Water Regime|
|Habitat||Acres Lost||Type of Loss|
|Type 5 Wetland Rehabilitation||In-progress/Implementation||No Data|
|Wetland Establishment - Group 1||In-progress/Implementation||No Data|
|Contact||Maureen Doyle||California Department of Transportation||Environmental|
|Visit Date||Version||Site Name||Wetland Type||Index Score|
|Criteria not evaluated yet||Type 5 Wetland Rehabilitation -Tree plant density per acre (both planted and volunteer plants) for monitoring year 5 is 120, year 6: 100, year 7: 80, year 8: 60, year 9: 50, and year 10 needs a minimum of 50 live woody plants per acre.||2017-04-15|
|Criteria not evaluated yet||Type 5 Wetland Rehabilitation –Plant survival by percentage survival of original number planted (includes replacement plants), of woody species criteria at monitoring year 3 is 70%, year 4: 60%, year 5: 60%.||2017-04-15|
|Criteria not evaluated yet||Type 5 Wetland Rehabilitation -Monitoring years 1-10 the absolute percent cover by invasive species must be less than 2%.||2017-04-15|
|Criteria not evaluated yet||Type 5 Wetland Rehabilitation -Species richness of native species from list of target species for monitoring year 10 is 8.||2017-04-15|
|Criteria not evaluated yet||Type 5 Wetland Rehabilitation -Relative cover increase in native wetland plant species from list of target species over baseline surveys: monitoring year 2 relative cover increase of 14%, year 4: 28%, year 5: 35%, year 7: 49%, year 9: 63%, and year 10: 70%.||2017-04-15|
|Criteria not evaluated yet||Type 5 Wetland Rehabilitation -Relative cover by wetland plant species over baseline surveys: monitoring year 1 relative cover at 10%, year 2:15%, year 3: 25%, year 4: 40%, year 5: 50%, year 6:60%, year 7: 70%, year 8: 75%, year 9: 80%, and year 10:90%.||2017-04-15|
|Criteria not evaluated yet||Group 1 (Wetland establishment) -Absolute cover by invasive species will be less than or equal to 10% absolute cover in the established wetlands, for monitoring years 1-5.||2017-04-15|
|Criteria not evaluated yet||Group 1 (Wetland establishment) -The hydroperiod for established wetland habitats will be within ± 10% of the hydroperiod for monitoring reference sites, for monitoring years 1-5.||2017-04-15|
|Criteria not evaluated yet||Group 1 (Wetland establishment) -Species richness- In monitoring years 1-5 a minimum of 15 species from the list of target species will be seeded or planted.||2017-04-15|
|Criteria not evaluated yet||Group 1 (Wetland establishment) -Relative cover by native wetland plant species in monitoring year 1 is 50%, year 2: 55%, year 3: 60%, year 4: 65%, and year 5: 70%.||2017-04-15|
|Criteria not evaluated yet||Group 1 (Wetland establishment) -To demonstrate a predominance of hydrophytic vegetation (as per USACE Arid West supplement) in monitoring years 1-5.||2017-04-15|
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How to Use the Habitat Development Curve
Habitat Development Curves (HDCs) are used to determine the developmental status and trajectory of on-the-ground projects to create, restore, or enhance California wetland and stream habitats. Each HDC is based on assessments of habitat condition for different age areas of one habitat type that in aggregate represent the full spectrum of habitat development. The assessments of condition are provided by expert applications of the California Rapid Assessment Method (CRAM). Visit the CRAM website for more information about CRAM.
For each HDC, reference condition is represented by areas of a habitat that consistently get very high CRAM scores, have not been subject to disruptive management practices, and exist within landscapes that are protected and managed for their natural conditions. The horizontal lines intersecting the top of an HDC represent the mean CRAM score and standard deviation of scores for 25 qualifying reference areas.
The age of a project is estimated as the elapsed time in years between the groundwork end date for the project and the date of the CRAM assessment. To add or update a groundwork end date, use the Project Events form in Project Tracker (ptrack.ecoatlas.org). The minimum age in years of a non-project area, including any natural reference area, is estimated from all available local information, including historical maps and imagery, historical written accounts, and place-specific scientific studies of habitat development.
An HDC can be used to address the following questions:
- At what time in the future will the area of assessed habitat achieve the reference condition or other milestones in habitat development? The HDC can answer this question if the CRAM score for the assessed area is within the confidence interval of the HDC. The answer is the time in years along the HDC between the current age of the assessed area and the future date corresponding to the intersection of the HDC and the reference condition or other milestone.
- Is the area of assessed habitat likely to develop faster, slower, or at the same pace as most other areas of the same habitat type? The habitat area is likely to develop faster, slower, or at the same pace if the CRAM score for the area is above, below, or within the confidence interval of the HDC, respectively.
- What can be done to improve the condition of the habitat area or to increase its rate of development? HDCs by themselves cannot answer this question. Possible answers can be inferred by the following analysis that involves HDCs:
- Examine the HDC for each of the four CRAM Attributes;
- Identify the Attribute(s) scoring below the HDC;
- For any low-scoring Attribute, examine the component Metric Scores (note: the Metric Scores for any public CRAM assessment in the CRAM database can be obtained through EcoAtlas);
- Assume the low score of an Attribute is due to its low-scoring Metric(s);
- Consider modifying the design or management of the habitat area in ways that will sustainably increase its score(s) for the low-scoring Metric(s).
For more information about CRAM Attributes and Metrics, including their scientific rationale, see the CRAM Manual.