Reforestation: the re-establishment of a forested land use on areas that were previously converted...
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![Page 1: Reforestation: the re-establishment of a forested land use on areas that were previously converted from a forested to non-forested land use e-RTS](https://reader035.fdocuments.us/reader035/viewer/2022072006/56649d005503460f949d2998/html5/thumbnails/1.jpg)
Reforestation: the re-establishment of a forested land use on areas that were previously converted from a forested to non-forested land use
e-RTS Internet-accessible data entry and query application Data is “housed” in a relational database Designed to serve as a central repository for
reforestation data Managed and served by the LMV Joint Venture Office
as a service to Joint Venture partners
The LMVJV Reforestation Tracking System
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Reforestation is a common LMVJV partner conservation action that is inherently spatial and temporal
Document the collective contributions of multiple programs / organizations to meet landscape goals and objectives
To assess partnership progress and inform adaptive approach to conservation, need to know
Where was it done? How much was done? How was it done? Where are the high priority places?
e-RTS: Example of a value-added service required to achieve NABCI goal: “regionally based, biologically driven, landscape-oriented” conservation
Spring 2004 MBM Notebook: Revised LMVJV Business Model, pg 4
Why an LMVJV Reforestation Tracking System?
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Why an LMVJV Reforestation Tracking System?
Partner Landholdings
Assess and inform the collective contributions to LMVJV landscape goals both spatially and temporally
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Forest Core
Forest
Why an LMVJV Reforestation Tracking System?
Assess and inform the protection and management of “core” habitat for area-sensitive wildlife
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Why an LMVJV Reforestation Tracking System?
Higher
Lower
Ref
ores
tati
on
Pri
orit
ies
Forest Property Boundaries
Assess and inform the restoration of the most environmentally sensitive portions of the landscape
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e-RTS takes advantage of two information technologies to help track a common conservation practice comprehensively and efficiently
The relational database design The Internet
A relational database is good for Efficient storage of data Efficient access to “answers” that can be gleaned from
specific questions (e. g., queries) Efficient data maintenance
Internet applications for data entry and access are good for
Efficient entry of data Maintenance of data quality during data entry Maintenance of data standards User-friendly data access
Why this kind of Reforestation Tracking System?
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Beneficial Results Comprehensive data set: Foresters chose the set of
tracked parameters Common set of parameters: Foresters chose data
standards Improve landscape planning, assessment, and
evaluative research Centralized: Reduce individual organization’s costs for
hardware, software and personnel to design, build, and maintain system
Efficient / Convenient: Reduce data entry time and speed access to data summaries Reduce program costs Increase use of data for land management decisions
Why this kind of Reforestation Tracking System?
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Data entry system Guides user through data entry process Prevents common data entry errors Increases data entry speed Insures standardization of data Improves data quality Facilitates data updates Improves data accessibility
Data entry via e-RTS web interface
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What has it taken to get us where we are now?
Skilled Personnel
Provided By
Task
Forestry experts Partners
Identified tracking parameters and data standardsBuilt short-term Access solutionDemonstrated this solution at Spring 2000 MBMRecognized opportunity to better use technology
IT experts Partners Initialized relational database design
Database designer & developer Office
Built the data tables, based on input from foresters, and “wired” the relationships between the tables
Web application programmer Office Programmed functionality and data
management into e-RTS web interface
Forestry experts Partners Beta-tested web application and approved e-RTS
Management Board Representatives Partners Designate individuals responsible for data
entry and data quality by each partner