A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits
Species selection is a crucial step in the planning phase of forestation programs given its impact on the results and on stakeholder interactions. This study develops a planning tool for forestation programs that incorporates the selection of tree species and the scheduling of planting and harvestin...
Saved in:
Main Authors: | , , , , |
---|---|
Format: | text |
Published: |
Animo Repository
2018
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2507 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3506/type/native/viewcontent |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
id |
oai:animorepository.dlsu.edu.ph:faculty_research-3506 |
---|---|
record_format |
eprints |
spelling |
oai:animorepository.dlsu.edu.ph:faculty_research-35062022-11-09T00:52:14Z A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits Rollan, Catherine Denise Li, Richard C. San Juan, Jayne Lois G. Dizon, Liezel Ong, Karl Benedict Species selection is a crucial step in the planning phase of forestation programs given its impact on the results and on stakeholder interactions. This study develops a planning tool for forestation programs that incorporates the selection of tree species and the scheduling of planting and harvesting, while balancing the maximization of the carbon sequestered and income realized, into the forestation decision-making and planning process. The validation of the goal programming model formulated demonstrates that the characteristics of natural tree species along with the behavior of growth and timing of yield are significant factors in achieving the environmental and socio-economic aspirations. The proposed model is therefore useful in gauging species behavior and performance over time. Sensitivity analysis was also conducted where the behavior of the income generated and carbon sequestered with respect to the external factors such as carbon market prices, percentage area allocated for protection and discount factor was assessed. © 2017 Elsevier Ltd 2018-01-15T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/2507 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3506/type/native/viewcontent Faculty Research Work Animo Repository Forests and forestry—Climatic factors Forests and forestry—Economic aspects Planting time Carbon sequestration Operations Research, Systems Engineering and Industrial Engineering |
institution |
De La Salle University |
building |
De La Salle University Library |
continent |
Asia |
country |
Philippines Philippines |
content_provider |
De La Salle University Library |
collection |
DLSU Institutional Repository |
topic |
Forests and forestry—Climatic factors Forests and forestry—Economic aspects Planting time Carbon sequestration Operations Research, Systems Engineering and Industrial Engineering |
spellingShingle |
Forests and forestry—Climatic factors Forests and forestry—Economic aspects Planting time Carbon sequestration Operations Research, Systems Engineering and Industrial Engineering Rollan, Catherine Denise Li, Richard C. San Juan, Jayne Lois G. Dizon, Liezel Ong, Karl Benedict A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits |
description |
Species selection is a crucial step in the planning phase of forestation programs given its impact on the results and on stakeholder interactions. This study develops a planning tool for forestation programs that incorporates the selection of tree species and the scheduling of planting and harvesting, while balancing the maximization of the carbon sequestered and income realized, into the forestation decision-making and planning process. The validation of the goal programming model formulated demonstrates that the characteristics of natural tree species along with the behavior of growth and timing of yield are significant factors in achieving the environmental and socio-economic aspirations. The proposed model is therefore useful in gauging species behavior and performance over time. Sensitivity analysis was also conducted where the behavior of the income generated and carbon sequestered with respect to the external factors such as carbon market prices, percentage area allocated for protection and discount factor was assessed. © 2017 Elsevier Ltd |
format |
text |
author |
Rollan, Catherine Denise Li, Richard C. San Juan, Jayne Lois G. Dizon, Liezel Ong, Karl Benedict |
author_facet |
Rollan, Catherine Denise Li, Richard C. San Juan, Jayne Lois G. Dizon, Liezel Ong, Karl Benedict |
author_sort |
Rollan, Catherine Denise |
title |
A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits |
title_short |
A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits |
title_full |
A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits |
title_fullStr |
A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits |
title_full_unstemmed |
A planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits |
title_sort |
planning tool for tree species selection and planting schedule in forestation projects considering environmental and socio-economic benefits |
publisher |
Animo Repository |
publishDate |
2018 |
url |
https://animorepository.dlsu.edu.ph/faculty_research/2507 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3506/type/native/viewcontent |
_version_ |
1749181772802818048 |