Objectives
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integrate plant observation data from disparate sources so users can create
composite summaries for taxonomic groups or geographic areas of interest
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provide centralized access to plant occurrence data in a form that can
be readily imported for use in analytical and modeling applications
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provide limited visualization tools for web access to databased information.
Our Collection
We have assembled and continue to build a collection that includes various
types of data--herbarium specimen records, species lists compiled by professional
botanists for known locations, rare plant occurrences documented by the
Natural Diversity Database, checklists for nature preserves, parks and
other geographic areas, and plot species lists from sampling projects carried
out by land management agencies.
Each type of data has strengths and weaknesses. Specimen data
have high reliability on plant identification, but generally have imprecise
or inaccessible location and habitat data. Plot species lists have
lower reliability of plant identification, but generally have high location
precision and tend to be a rich source of readily usable habitat and co-occurrence
data. Checklist data, used in conjunction with specimen and plot
data, provide a basis for analyzing of patterns of abundance and rarity
within the range of a species.
By providing ready access to all these types of occurrence data, we
seek to facilitate research on questions related to biodiversity, ecology,
and conservation, and help researchers use the full power of their geographic
analysis and modeling tools.
Special Features
Name data--We explicitly indicate the relationship of current
names to the taxon indicated by the original observer. The user can
see the original name, our interpretation of the original name in terms
of current usage, and an indication of whether or not changes in taxonomic
delineation or name usage since the date of the observation affect certainty
of assignment of given observations to particular current names.
Documentation--We indicate the type of plant ID documentation
provided for individual occurrence observations. We also assess precision
of original date and location data, and label individual observations accordingly.
We recognize that 'high quality' to one user may mean 'precise location'
, while to another it may mean 'specimen exists'. Rather than filtering
information before it reaches the user, we label information in a way that
allows users to apply filters they consider appropriate.
How We Process Data
Our intent is to provide a core set of data about each occurrence
observation and enough information for the user to select only those records
that are suitable for a given type of analysis, directing the user to the
data source for additional information that may be available. We
examine source data sets and extract:
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a plant name and a location
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basic information about the site if available
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the source of the observation
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the id used by the source to identify this observation
We then process that data, adding fields to express:
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name, location, and observation event characteristics in common formats
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precision and level of documentation of the observation
We maintain each data set as a coherent and identifiable block that can
be replaced or updated at any time. For each data set, we document
source contact information, acquisition and update history, details on
steps we took in moving data from original fields and formats into our
standard formats, and any information provided by the source on data collection
methods.
Our Broader Goals
By providing ready access to plant occurrence data, we seek to facilitate:
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Access to range and distribution information for California plants,
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Analysis of patterns in plant distributions and species diversity,
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Protection of plant diversity at local scales,
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Protection of geographic range and genetic diversity of native species, both rare
and common.
If you have plant occurrence data you would like to contribute, or would
like to participate in the CalFlora project, please
CONTACT
us.
A description of the structure of the data is available here.
Comments and questions are welcome:
CONTACT