Source: STATE UNIV OF NEW YORK submitted to NRP
DIGITAL TREE GROWTH MODELING AND VISUALIZATION TOOLKIT FOR HISTORIC LANDSCAPE REPRESENTATION
Sponsoring Institution
Other Cooperating Institutions
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
1027801
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Sep 29, 2021
Project End Date
Nov 30, 2023
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
STATE UNIV OF NEW YORK
(N/A)
SYRACUSE,NY 13210
Performing Department
Landscape Architecture
Non Technical Summary
This research involves development of a digital toolkit for modeling tree growth in historic landscapes. This toolkit visualizes tree growth to show evolution of planting plans over several years. It can be used throughout the planning and design stages of a historic landscape project to evaluate the long-term feasibility of replanting schemes, as well as to explore the effects of tree management regimes on the historic character of the landscape.This toolkit is successfully being tested, with success, at two National Park Service sites. The first site, Flight 93 National Memorial, uses the toolkit to model the visual impact that tree mortality rates would have on the memorial groves, as well as to model the growth of a test plot. The second site, the Eisenhower National Historic Site, uses the toolkit to model a historic allée in order to visualize tree replacement scenarios and evaluate their likelihood of success. Although initially successful, this toolkit needs to be used in more historic landscape projects to diversify its functionality and enable it to be widely employed. To accomplish this, we propose using the toolkit on a new test site, the historic Martin Van Buren Orchard. This site presents tree planting and management challenges that have not been previously modeled with the toolkit. By using this toolkit on an experimental historic site, we will be able to expand its capabilities in new ways. The proposed project will result in a user manual documenting the use of the toolkit in all three test sites.Awarded Start Date: 8/15/2021Sponsor: National Park Service
Animal Health Component
50%
Research Effort Categories
Basic
(N/A)
Applied
50%
Developmental
50%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
5110530311150%
1340530311150%
Goals / Objectives
Please contact PI for details.
Project Methods
Please contact PI for details.