Multi-coefficient goal programming in thinning schedules to increase carbon sequestration and improve forest structure

Ying Ta Chen, Ching Ter Chang*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

7 Scopus citations

Abstract

Context: Current decision analysis techniques are ineffective for planning thinning operation to improve the forest structure.

Aims: The purpose of this study is to use multi-coefficient goal programming (GP) to plan a thinning schedule that allows more carbon sequestration and diverse forest structure.

Methods: A multi-coefficient GP is applied to plan a thinning schedule for a 2,633-ha plantation forest.

Results: This technique efficiently fine-tunes the thinning schedule to obtain 420,500 tons of carbon sequestration which was a little higher than the result by a multi-segment goal programming (MSGP). Moreover, a fixed-ratio multi-coefficient GP is applied to efficiently generate mosaic of thinned areas with various thinning intensities. Although the captured carbon by a fixed-ratio multi-coefficient GP is lower, the thinned areas can provide various habitats for forest life with multiform contrasting edges.

Conclusion: The use of a multi-coefficient GP allows practicable planning of better thinning alternatives to increase carbon sequestration and forest structure.

Original languageEnglish
Pages (from-to)907-915
Number of pages9
JournalAnnals of Forest Science
Volume71
Issue number8
DOIs
StatePublished - 12 2014

Bibliographical note

Publisher Copyright:
© 2014, INRA and Springer-Verlag France.

Keywords

  • Biodiversity
  • Carbon sequestration
  • Fixed-ratio multi-coefficient goal programming
  • Multi-coefficient goal programming
  • Thinning operation
  • Thinning schedule

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