Buena Vista Lagoon State Ecological Reserve Restoration Planning - Phase II
|Project Type||Non-mitigation||Location||33.17744° N, -117.34538° W Map|
|Project Area (Acres)||378.6|
|06-041||SCC - Project Number (Restoration)|
|Activity||Habitat||SubHabitat||Acres||Activity Status||Water Regime|
|Unknown/Unspecified||Unknown/unspecified wetland habitat||None||152.9||Construction in-progress|
|Buena Vista Lagoon (Coast Highway)||Construction in-progress||122.5|
|Buena Vista Lagoon (I-5)||Construction in-progress||225.7|
|Buena Vista Lagoon (Railroad)||Construction in-progress||16.82|
|Buena Vista Lagoon (Weir Basin)||Construction in-progress||13.54|
|Contact||Deborah Ruddock||State Coastal Conservancy||Not applicable/Unknown|
|Unknown/Unspecified||CDT California Department of Transportation|
|Unknown/Unspecified||City of Carlsbad|
|Unknown/Unspecified||City of Oceanside|
|Unknown/Unspecified||SCC State Coastal Conservancy|
|Unknown/Unspecified||USFWS Coastal Program at San Francisco Bay|
|Visit Date||Version||Site Name||Wetland Type||Index Score|
|Name||File Type||Submitted On||Submitted By|
|Coastal Conservancy Staff Recommendation||Other||2008-06-30||Christopher Solek, Southern California Coastal Water Research Project|
June 29, 2006 Coastal Conservancy Staff authorization to disburse up to $500,000 for Phase II Buena Vista Lagoon restoration planning, including preparation of environmental documents and re-lated preliminary engineering design.
|Fish Survey||Data Set||2008-06-30||Christopher Solek, Southern California Coastal Water Research Project|
Appendix C - Fish Survey.pdf
Fish Survey data for Buena Vista Lagoon
|Initial Project Concepts and Alternatives||Other||2008-06-30||Christopher Solek, Southern California Coastal Water Research Project|
Appendix D - Initial Concepts.pdf
Diagrams of proposed alternative restoration scenarios for Buena Vista Lagoon.
|October 2002 Pollutant Source and Sedimentation Analyses||Monitoring Report||2008-06-30||Christopher Solek, Southern California Coastal Water Research Project|
Appendix E - Pollutant & Souce Analysis.pdf
This report summarizes Task 1.3(b) Pollutant Source Analysis and Task 1.3(c) Sedimentation Analysis of the data collection program for the Buena Vista Lagoon Restoration Feasibility Study.
|October 2003 Sediment Characterization Study||Monitoring Report||2008-06-30||Christopher Solek, Southern California Coastal Water Research Project|
This report presents sampling, analysis and quality assurance results which characterize chemical and physical properties of sediments and vegetation at Buena Vista Lagoon.
|Plant Species by Habitat Type||Data Set||2008-06-30||Christopher Solek, Southern California Coastal Water Research Project|
Appendix A - Vegetation Survey.pdf
List of Dominant Plant Species in Buena Vista Lagoon Vegetation Habitat Types
|Project Cost Estimates||Data Set||2008-06-30||Christopher Solek, Southern California Coastal Water Research Project|
Appendix G - Cost Estimates-rev.pdf
Engineer estimates of approximate project costs by alternative
|Terrestrial Wildlife Species Occurrence by Habitat||Data Set||2008-06-30||Christopher Solek, Southern California Coastal Water Research Project|
Appendix F - Species Occurrence.pdf
Data on wildlife species occurrence by habitat type for Buena Vista Lagoon.
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.