The CVSEEP Partnership - PowerPoint PPT Presentation

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The CVSEEP Partnership

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Learn more at: http://cvs.bio.unc.edu
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Title: The CVSEEP Partnership


1
The CVS-EEP Partnership
  • Working together to restore North Carolina's
    natural communities

2
The CVS Team
  • Project Directors
  • Robert Peet, UNC Chapel Hill
  • Thomas Wentworth, NC State University
  • Michael Schafale, NC Natural Heritage Program
  • Alan Weakley, NC Botanical Garden
  • Staff
  • Forbes Boyle, Project Manager
  • Michael Lee, Database admin software developer

3
The Carolina Vegetation Survey
  • Multi-institutional collaborative research
    program.
  • Established in 1988 to document the composition
    and status of natural vegetation of the
    Carolinas.
  • Provides data, data services, and analysis to
    EEP and its contractors.

4
CVS-EEP collaboration activitiesResearch and
Services
  • Restoration targets
  • Protocols and tools
  • Training
  • Data management
  • Data analysis

5
1. Restoration targets
  • Goal Move from crude species lists to a plot
    database and high-resolution community
    classification with quantitative descriptions.
  • EEP contractors can use these data to establish
    site-specific restoration targets.
  • Phase 1 National Vegetation Classification type
    descriptions.
  • Phase 2 Dynamically generated targets.
  • Growers can predict material needs.
  • EEP can anticipate significantly higher success.

6
Over 6000 plots, containing over 2600 species,
representing over 250 vegetation types
Reference data collection is an on-going activity
7
How to construct a template Phase I-
http//cvs.bio.unc.edu/vegetation.htm
8
Interactive plot map Coastal Plain brownwater
river forests levee floodplain forests Mean
site attributes for vegetation types
9
2. Protocols and tools
  • CVS collaborates with EEP to
  • develop and document efficient protocols for
    recording and monitoring vegetation,
  • design and create data entry and quality-control
    tools to optimize the efficiency and quality of
    data flow from field workers into the data
    archive.

10
CVS sampling protocol
  • 5 sampling levels provide flexibility plus
    consistency.
  • Available resources include manuals, datasets,
    and data entry tools.
  • Anticipates new federal standards
  • Applicable for multiple purposes and organizations

11
3. Training
  • Contractors receive hands-on training in data
    collection and management at annual workshops
  • Annual Pulse events provide intensive training
    in sampling protocols and North Carolinas plant
    species and vegetation.

12
4. Data management
  • The CVS data management system insures accurate
    data collection and reporting.
  • The CVS data-entry tool allows efficient data
    entry with automatic error checking.
  • Reports and plot statistics are automatically
    generated.
  • The archived data are used in various analyses
    and to generate datasheets for subsequent
    monitoring.

13
System of Databases
14
System of Databases
  • The Entry Tool
  • Facilitates Entry of new data
  • From restoration sites
  • From reference (non-disturbed, natural) sites
  • Checks for potential errors
  • Exports a report summarizing data

15
System of Databases
  • The Migration Tool
  • Used by CVS Data Administrator
  • Moves data from the Entry Tool into the Archive
  • Provides a mechanism for standardizing data
    across many projects
  • Flags possible errors

16
System of Databases
  • The Archive Database
  • Stores restoration and reference data
  • Compliant with new national standards

17
System of Databases
  • The Viewer Tool
  • View data in the Entry Tool or Archive database
  • Export data in configurable formats
  • Summarize data as standard reports, flagging
    areas that need attention
  • Map plots to confirm locations

18
Entry Tool Features
  • Contractors use the Entry Tool to digitize
    organize data.
  • Organizes the entry process into one place
  • Can calculate number of required plots for a
    project
  • Efficient data entry at all CVS Levels
  • Forms mimic paper datasheets
  • Lookup data (species, locations) quickly
  • Avoid redundant typing.
  • Flags possible errors for resolution
  • Reports summarize final data
  • New datasheets printed for future monitoring
  • SAVES TIME MONEY, DELIVERS HIGHER QUALITY DATA!

19
How many plots required?
  • Create a new project.
  • Calculate number of plots needed based on
  • The project dimensions (any units)
  • The project area (any units)
  • EEP requirements

Organization
20
Efficient Planted Stem Entry
21
Catch Errors Early
  • Data automatically checked for errors as entered.

22
Datasheets prepared for next year
23
Stems mapped for easy resampling
24
Second-year entry twice as fast
You don't have to retype data that is known from
last year.
The cursor stops only on the few fields with
solid borders.
Efficiency
25
Scalable Different data levels
  • Data displayed to match plot sampling level
  • Shows what you need hides what you don't.
  • Can "upgrade" plots to a higher level
  • Initially level 1 later level 2 to record
    natural vegetation, perhaps on to higher levels.

26
Level 1 Basic Plot Data - planted stems only
27
Level 2 Natural Stems
28
Level 5 Very complex data community
classification
29
Reports generated by entry tool
  • Data summarized with click of a button
  • Multiple configuration options available
  • Reports based on a single year or multiple years
  • Reports based on a single project or multiple
    projects

30
Summary Report
Matrix of plots, species, and number of stems
(This page shows 3 of 10 to 12 worksheets in the
Report)
Summary of Stem Vigor
31
Mapping of Plots
32
Spotting Outliers
33
5. Data analysis
  • CVS reports
  • Datasheets for monitoring
  • Survival growth of planted stems
  • Direction of compositional change
  • Rate of compositional change
  • Problems needing attention (e.g., stem mortality,
    exotic species)
  • The data and services provided by CVS improve the
    likelihood that vegetation within monitored sites
    is developing towards a pre-defined reference
    condition.

34
Example multi-year report
35
Project summary report
36
Additional benefits
  • Restoration targets
  • High quality, detailed, for all vegetation types
  • Increases likelihood of on-time completion
  • Anticipates future standards
  • Uniquely able to handle rare species and
    communities
  • Protocols and tools greatly improve efficiency
  • Training improves efficiency
  • Data management minimizes errors and anticipates
    problems
  • Data analysis keeps EEP informed of trajectory of
    each project and quality of contractor services.
  • Financial benefits
  • Free 100,000 senior staff time per year
  • Free 35,000 volunteer field-worker time per
    year
  • Free 125,000 in annual prescriptions for sites
    (502500)

37
Looking forward to continued collaboration
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