PrimeHabitatAreas

Metadata also available as

Metadata:


Identification_Information:
Citation:
Citation_Information:
Originator:
Kerry Draeger, Intern, County of San Luis Obispo, Planning & Building Dept., Environmental Division
Publication_Date: 2002
Title: PrimeHabitatAreas
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage:
\\svrgis\data\Planning\Environmental\Clarkia\PrimeHabitatAreas.shp
Description:
Abstract:
Point-layer data was created to symbolize all observed occurrences of Pismo clarkia (as recorded in San Luis Obispo County planning documents, USFWS Recovery Plan, and NDDB). These locations were identified using the locational information in the databases and locating the site using the tiger roads GIS data layer. It should be noted that these points may not reflect exact occurrence locations but represent areas near the observed sites. Regions of habitat adjacent to each of the points were then examined to determine if similarity exists. If so, the area was assigned prime habitat status. From a management standpoint, these are areas which probably merit closer examination in situations of future development or road maintenance.
Purpose:
The intent of this analysis and map is to provide useful information for agencies, planners, and individuals as to where Pismo clarkia exists or is likely to exist. This in turn, will help focus protection efforts to these areas as future development occurs.
Supplemental_Information:
ArcView extension, Spatial Analyst, was used to help identify areas in southwest San Luis Obispo County that are comprised of favorable characteristics including: elevation, vegetation, and soil type. By converting this polygon data to a grid format, grid values may be arbitrarily allocated a new color value. Each of these grids can be assigned a weighted value of importance. With this technology, it is then possible to form a query based on parameters of any model. Here the model revealed only spatial pixels, which had the desired elevation (below 600-feet above sea level), soil type (fine, dry, sandy loams), and vegetative community (chaparral, oak woodland, or grassland). These areas then were assigned potential Pismo clarkia habitat status. The basis for known clarkia populations is from previously prepared biological reports (most from CNDDB and a few from reports that were prepared shortly before 1999 that did not make it to the CNDDB).
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1999
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Irregular
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -120.700558
East_Bounding_Coordinate: -120.517071
North_Bounding_Coordinate: 35.186319
South_Bounding_Coordinate: 35.047484
Keywords:
Theme:
Theme_Keyword: Pismo clarkia
Theme_Keyword: Clarkia speciosa ssp. immaculata
Place:
Place_Keyword: San Luis Obispo County
Access_Constraints: None
Use_Constraints: None
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
County of San Luis Obispo, Planning & Building Department, Geographic Technology and Design
Contact_Voice_Telephone: 805-781-5600
Data_Set_Credit:
Kerry Draeger, Intern, Environmental Division, Planning and Building Department, County of San Luis Obispo
Native_Data_Set_Environment: ArcView and Spatial Analysis

Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
As future field studies are performed, as well as for known occurrence sites, it would be extremely beneficial if a qualified individual used a GPS unit when out in the field during the May-July growing season to more accurately identify the boundaries of existing sites. With the proper software, this data could overlay the GIS layers created during this project to verify the value and accuracy of this remote sensing method (via aerial orthophotographs) as an appropriate method of determining prime or potential Pismo clarkia habitat.
Logical_Consistency_Report:
It should be noted that at this time remote sensing techniques have not been able to achieve fine-scale detail, making the high level of imprecision a drawback. This is of particular concern when dealing with the more rural project areas, because there are fewer georeferenced ground features to correct for the skewed nature of aerial orthophotograph projections. In addition, here the urban areas made spatial analysis of vegetation difficult. For example, as shown in Figure 3 (page 10) occurrence number 12, located in Grover Beach, did not fall within the projected potential habitat boundary. This means other Pismo clarkia populations and potential habitat possibly exist, but were not included in the computer's analysis of the project area.

Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:

Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.000000
Ordinate_Resolution: 0.000000
Planar_Distance_Units: survey feet
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222

Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: PLN_PISMO_CLARKIA_PRIME_HABITAT
Attribute:
Attribute_Label: FID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: Shape
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: ID
Attribute:
Attribute_Label: Shape_STAr
Attribute:
Attribute_Label: Shape_STLe
Attribute:
Attribute_Label: Shape_Leng
Attribute:
Attribute_Label: Shape_Area
Attribute_Definition: Area of feature in internal units squared.
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Unrepresentable_Domain: Positive real numbers that are automatically generated.

Distribution_Information:
Resource_Description: Downloadable Data
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Transfer_Size: 0.008

Metadata_Reference_Information:
Metadata_Date: 2002
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
REQUIRED: The organization responsible for the metadata information.
Contact_Person: REQUIRED: The person responsible for the metadata information.
Contact_Address:
Address_Type:
REQUIRED: The mailing and/or physical address for the organization or individual.
City: REQUIRED: The city of the address.
State_or_Province: REQUIRED: The state or province of the address.
Postal_Code: REQUIRED: The ZIP or other postal code of the address.
Contact_Voice_Telephone:
REQUIRED: The telephone number by which individuals can speak to the organization or individual.
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time

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