Sears Point Wetland and Watershed Restoration Project
|Project Type||Non-mitigation||Location||38.13249° N, -122.45844° W Map|
|Project Area (Acres)||1,106||Last Updated||22 August 2019|
|Project Abstract||The project goals were to restore 960 acres of tidal marsh; enhance up to 40 acres of seasonal wetlands; enhance 15.5 acres of CA red-legged frog habitat; enhance over 900 acres of upland grasslands, vernal pools, and riparian drainages; and construct 2.5 miles of the Bay Trail and up to 3.5 miles of additional trails.|
|Project Groups||San Francisco Bay Joint Venture Project Tours|
|481||JV - Record Number|
|02-49-C0078||SWRCB - 401 Certification Letter (e.g., Site Number or WDID)|
|Activity||SubActivities||Habitat||SubHabitat||Acres||Activity Status||Water Regime|
|Restoration (unspecified)||Vegetation, Water Management||Bay Habitat (SFBJV Only)||Tidal marsh||960.0||Completed||Mixed|
|Restoration (unspecified)||Depressional Wetland||Unknown/Unspecified||No Data||Completed|
|Enhancement||Seasonal Wetland||Unknown/Unspecified||146.0||Completed||Seasonal non-tidal|
|Habitat||Acres Lost||Type of Loss|
|Dickson Ranch Site||Completed||No Data|
|North Point Venture Property||Completed||1,106|
|2015-12-31||Project end date|
|2007-02-01||Project start date|
|Contact||Julian Meisler||Sonoma Land Trust||Not applicable/Unknown|
|Restoration (unspecified)||U.S. Army Corps of Engineers|
|Restoration (unspecified)||WCB Wildlife Conservation Board||$5,000,000|
|Restoration (unspecified)||CDOT California Department of Transportation||$2,941,492|
|Restoration (unspecified)||U.S. Environmental Protection Agency||$2,441,941|
|Restoration (unspecified)||SCC State Coastal Conservancy||$2,400,000|
|Restoration (unspecified)||USDT Public Land Highway Discretionary||$2,250,000|
|Restoration (unspecified)||NOAA National Marine Fisheries Service||$1,500,000|
|Restoration (unspecified)||CDWR Bay Area Integrated Regional Water Management Plan||$1,262,500|
|Restoration (unspecified)||USFWS North American Wetlands Conservation Act||$1,000,000|
|Restoration (unspecified)||USFWS National Coastal Wetlands Conservation Program||$1,000,000|
|Restoration (unspecified)||Sonoma Land Trust||$400,000|
|Restoration (unspecified)||Ducks Unlimited, Inc.||$400,000|
|Restoration (unspecified)||CDFW California Department of Fish and Wildlife||$365,000|
|Restoration (unspecified)||NOAA National Oceanic and Atmospheric Administration||$350,000|
|Restoration (unspecified)||San Francisco Bay Trail||$200,000|
|Restoration (unspecified)||San Francisco Foundation Bay Fund (historic funding program)||$150,000|
|Restoration (unspecified)||Cosco Busan Fund||$110,000|
|Restoration (unspecified)||USFWS Coastal Program at San Francisco Bay||$50,000|
|Visit Date||Version||Site Name||Wetland Type||Index Score|
|More than 50% criteria met||Test Project Performance Criteria||2009-01-11|
|Name||File Type||Submitted On||Submitted By|
|2015 Video about the Sears Point Restoration Project||Other||2017-03-17||Sandra Scoggin, SFBJV|
|Featured by the USFWS Council of Migratory Birds||Other||2016-11-22||Sandra Scoggin, SFBJV|
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.