Wieslander Vegetation Type Mapping Project (VTM)


In the 1920s and 1930s Albert Everett Wieslander and several others explored much of California’s wilderness sampling vegetation, taking photographs, collecting specimens, and drawing detailed maps of what they found. These data represent a valuable resource for comparative and conservation ecology. The data are now fully digitized and made available through the Ecoengine.

For more information regarding this projects and its rediscovery, see vtm.berkeley.edu . An extended version of the site including tools for convenient data exploration will be released in August 2014.

The collection consists of three parts:

  1. About 3.500 landscape photos digitally stored at CalPhotos which is part of the media resource within the Ecoengine.
  2. Vegetation map polygons designating dominant species and vegetation types to (small) geographic areas.
  3. Plot data which was generated by taking tree and brush inventories from plots all over the state.

Contemporary retakes of the historic photos are also part of the collection and we will start a campaign for more re-shots in the future.

VTM Photos

The Photos taken by Wieslander’s team during the VTM project are a subset of the /api/photos/ resource and can be accessed by querying /api/photos/?collection_code=vtm. All query parameters documented for this resource can be applied to the VTM photo collection.

Contemporary Retakes

If a historic photo has one or more contemporary re-shots (or vice versa) the property internal_reference will hold a list of internal links pointing to the associated resources:

{
    "record": "CalPhotos:0000+0000+0513+1990",
    "internal_reference": [
        {
            "url": "http://dev-ecoengine.berkeley.edu/api/photos/CalPhotos%3A5555%2B5555%2B0000%2B2687/"
        }
    ]
}

To detect all VTM retakes query /api/photos/?collection_code=vtm&min_date=1980-01-01.

Another option is the use of the search engine: /api/photos/?q=retake. In doing so, it might become necessary to thoroughly check the returns because such a query triggers a full text search and could return also records that have contain the word “retake” in other contexts.

It is currently somewhat harder to select all historic photos that have a retake. The best strategy would be to query for retakes as described above and then select the historic photos using follow-up queries.

Observations

Some photos have associated species observations. Those were generated when the curators at CalPhoto explicitly extracted species names from the photographer’s notes. Observations record associated with VTM data can be detected by querying the /api/observations/ resource using the collection_code “vtm”: /api/observations/?collection_code=vtm. Species entries derived from photos will have the observation_type “photo record”.

Wieslander Vegetation Features

The Wieslander Vegetation Features (/api/vtmveg/) resource provides the digitized version of polygons that were drawn on topological maps and labeled with the dominant species in that area. The resource is somewhat similar to /api/checklists/ in regard to the fact that a geographic feature is associated with an observations list. However it has some specific attributes.

List View

GET /api/vtmveg/

Detail View

GET /api/vtmveg/(record)
GET /api/vtmveg/(url_escaped_record)

Tile Template

GET /tiles/vtmveg/{z}/{x}/{y}.png

The tile template provides pre-rendered and cached tiles. The legend needs to be added/published.

The field whr provides a crosswalk from Wieslander’s dominant species field to the Wildlife Habitat Relationships, Vegetation Type (WHRTYPE). More information and linked resources see www.fs.usda.gov/detail/r5/landmanagement/resourcemanagement/?cid=fsbdev3_048103.

The field mcv contains a similar crosswalk to the CNPS’ Manual of California Vegetation, for more resources see www.cnps.org/cnps/vegetation/manual.php

The geographical query methods as described in Query Parameters Working Across Resources can be applied.

Warning

Known data problems:

  • Some features have terms associated that are not species. In some cases this entries generated invalid observation entries.
  • Some identifications are ambiguous, or incorrectly over-specified. For example redwood was collected with one single abbreviation which was (incorrectly) transcribed as Sequoia sempervirens in the Sierra Nevada.

Please let you know if you find additional problems. Thank you.

Wieslander VTM plot data

Plot surveys take a detailed inventory of species and abundance in sample plots representing a landscape or vegetation. The Wieslander team studied over 17,000 plots between 1920 and 1939. They recorded tree and brush species, tree size and brush distribution.

Within the Ecoengine this data is represented by three endpoints: plots, plot trees, and plot brushes, a structure that represents the original data most effectively.

List View

GET /api/vtmplots/

Detail View

GET /api/vtmplots/(record)/

The plot resources contain all properties that are associated with the plot such as the geometry, the collection data, the location description, soil characteristics etc.

It also contains a list of species connecting to observations records via linked resources. These links that connect a species with a particular plot have additional attributes and are stored in the VTM plots trees and the VTM plots brushes resources which can be independently used as a starting point for analysis:

VTM plots trees

List View

GET /api/vtmplot_trees/

Detail View

Attributes

diam_class_4_11 ... number of trees between 4 and 11 inches in diameter
diam_class_12_23 ... number of trees between 12 and 23 inches in diameter
diam_class_24_35 ... number of trees between 24 and 35 inches in diameter
diam_class_36_biggest ... number of trees thicker than 36 inches

VTM plots brushes

List View

GET /api/vtmplot_brushes/

Detail View

Attributes

percent_coverage ... percent of the plot covered by this species
height ... average height of the coverage (in inches)
litter_depth ... average height of litter on the ground (originating from this species)

Warning

The VTM plots data need some further clean-up. Species names are not always clean and contain additional comments such as ‘LITTER’, ‘BARREN, etc. In some cases identification seems to be ambiguous. The resource will improve as Maggy Kelly’s team is actively working on the data. If you plan research using this data, please contact us.