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Envisioning future landscapes: A data-based visualization model for ecosystems under alternative management scenarios
Year:
2021
Source of publication :
Landscape and Urban Planning
Authors :
Osem, Yagil
;
.
Perevolotsky, Avi
;
.
Volume :
215
Co-Authors:

L. Hadar
D.E. Orenstein
Y. Carmel
J. Mulder
A. Kirchhoff
A. Perevolotsky
Y. Osem

Facilitators :
From page:
0
To page:
0
(
Total pages:
1
)
Abstract:

Human-driven landscape changes strongly influence landscape functionality and aesthetics. While landscape planners have access to biophysical data for decision-making, they often do not have the necessary information about social variables, such as aesthetic tastes, feelings, or functions of a place. Visualizing future landscapes under alternative management scenarios could be a valuable tool for aiding land management decisions. Towards these ends, empirical, quantitative ecological data on vegetation composition, pattern, and processes in a Long-Term Ecological Research (LTER) site in Israel were integrated into a computerized, 3-D representation of current and future landscapes.

Our objectives were (1) to visualize landscape-shaping processes, such as wildfire, grazing, and species colonization, that can assist managers, planners, and the public to envision the long-term visual significance of management alternatives and (2) to validate the similarity between the 3-D model and reality. The visual model we developed is based on 30 years of scientific knowledge and ecological data describing vegetation processes in Ramat Hanadiv, a case study of ecological conditions and processes relevant to the Mediterranean and other complex ecosystems worldwide.

Before studying the role of the 3-D model in decision-making, validation was performed by comparing ‘current state’ model representation with real-world photos from the perspective of the observer. The model was found to be a valid representation of reality.

Looking to the future, we suggest that the ability to create future landscapes using scientific data can assist to improve decision-making processes, balancing ecological and social needs.

Note:
Related Files :
Future landscapes
Landscape model
Mediterranean
Validation
Visualization
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More details
DOI :
10.1016/j.landurbplan.2021.104214
Article number:
104214
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
56019
Last updated date:
02/03/2022 17:27
Creation date:
22/08/2021 21:52
Scientific Publication
Envisioning future landscapes: A data-based visualization model for ecosystems under alternative management scenarios
215

L. Hadar
D.E. Orenstein
Y. Carmel
J. Mulder
A. Kirchhoff
A. Perevolotsky
Y. Osem

Envisioning future landscapes: A data-based visualization model for ecosystems under alternative management scenarios

Human-driven landscape changes strongly influence landscape functionality and aesthetics. While landscape planners have access to biophysical data for decision-making, they often do not have the necessary information about social variables, such as aesthetic tastes, feelings, or functions of a place. Visualizing future landscapes under alternative management scenarios could be a valuable tool for aiding land management decisions. Towards these ends, empirical, quantitative ecological data on vegetation composition, pattern, and processes in a Long-Term Ecological Research (LTER) site in Israel were integrated into a computerized, 3-D representation of current and future landscapes.

Our objectives were (1) to visualize landscape-shaping processes, such as wildfire, grazing, and species colonization, that can assist managers, planners, and the public to envision the long-term visual significance of management alternatives and (2) to validate the similarity between the 3-D model and reality. The visual model we developed is based on 30 years of scientific knowledge and ecological data describing vegetation processes in Ramat Hanadiv, a case study of ecological conditions and processes relevant to the Mediterranean and other complex ecosystems worldwide.

Before studying the role of the 3-D model in decision-making, validation was performed by comparing ‘current state’ model representation with real-world photos from the perspective of the observer. The model was found to be a valid representation of reality.

Looking to the future, we suggest that the ability to create future landscapes using scientific data can assist to improve decision-making processes, balancing ecological and social needs.

Scientific Publication
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