Sains Malaysiana 44(3)(2015): 325–336
Controlling
Spatial Forest Structure with Spatial Simulation in Forest Management Planning:
A Case Study from Turkey
(Mengawal Struktur Hutan Reruang dengan Simulasi Reruang dalam
Perancangan Pengurusan Hutan: Suatu Kajian Kes dari Turki)
ALI İHSAN KADIOĞULLARI1*, SEDAT KELEŞ2, EMIN ZEKI BAŞKENT1 & ÖZKAN BINGÖL3
1Faculty of Forestry, Karadeniz Technical University, 61080 Trabzon,
Turkey
2Faculty of Forestry, Çank?r? Karatekin University, 18200 Çank?r?, Turkey
3Department of Software Engineering, Faculty of Engineering, Gümüşhane
University, 29100 Gümüşhane, Turkey
Diserahkan: 30 Mei 2014/Diterima: 18 September
2014
ABSTRACT
Decision Support Systems (DSS) is widely used to develop
spatially explicit forest management plans through the integration of spatial
parameters. As a part of this study, a simulation-based spatial DSS,
the ETÇAPSimülasyon program was developed and tested in a
case study area. The system has the capability to control the spatial structure
of forests based on a geodatabase. Geographical Information Systems (GIS)
was used to generate the database, using spatial parameters including opening
size, block size and green-up delay in addition to other attribute data such as
the empirical yield table and the product assortment table. Based on the
simulation technique, a spatial forest management model was developed to link
strategic planning with tactical planning on a stand base and to present
results with a number of performance indicators. One important component of the
model determined all spatial characteristics with spatial parameters and patch
descriptions. A stand growth and yield simulation model (BARSM)
based on the relationship between current and optimal basal area development
was also generated to project future stand characteristics and analyze the
effects of various silvicultural treatments. A number of spatial forest
management strategies were developed to generate spatially implementable
harvest schedules and perform spatial analyses. The forest management concept
was enhanced by employing a spatial simulation technique to help analyzing the
ecosystem structure. Spatial characteristics for an on-the-ground forest
management plan were then developed. The model was tested in Alt?noluk Planning
Unit (APU) using a spatial simulation technique based on
various spatial parameters. The results indicated that the spatial model was
able to satisfy the spatial restriction requirements of the forest management
plan.
Keywords: Block size; fragmentation metrics; green-up delay;
opening size; spatial forest planning
ABSTRAK
Sistem sokongan keputusan (DSS) digunakan secara meluas untuk
membangunkan pelan pengurusan hutan reruang nyata melalui integrasi
parameter reruang. Sebagai sebahagian daripada kajian ini, simulasi
berasaskan reruang DSS, program ETÇAPSimülasyon, dibangunkan
dan diuji di kawasan kajian kes. Sistem ini berkeupayaan untuk mengawal
struktur reruang hutan berdasarkan pangkalan data geo. Sistem maklumat
geografi (GIS)
telah digunakan untuk menghasilkan pangkalan data, menggunakan parameter
reruang termasuk saiz pembuka, saiz blok dan lewat hijau-naik selain
data atribut lain seperti jadual hasil empirik dan jadual pelbagai
produk. Berdasarkan teknik simulasi, model pengurusan hutan reruang
telah dibangunkan untuk menghubungkan perancangan strategik dengan
perancangan taktikal di suatu asas dan membentangkan keputusan dengan
beberapa petunjuk prestasi. Suatu komponen penting model menentukan
semua ciri-ciri reruang dengan parameter reruang dan tampalan penerangan.
Pertumbuhan dirian dan hasil simulasi model (BARSM)
berdasarkan hubungan antara pembangunan kawasan asas semasa dan
optimum juga dijana untuk projek ciri-ciri dirian masa depan dan
menganalisis kesan-kesan rawatan silvikultur yang pelbagai. Beberapa
strategi pengurusan hutan reruang dibangunkan untuk menjana jadual
tuai reruang yang dapat dilaksanakan dan melakukan analisis reruang.
Konsep pengurusan hutan ini telah ditingkatkan dengan menggunakan
teknik simulasi reruang untuk membantu menganalisis struktur ekosistem.
Ciri-ciri reruang untuk rancangan pengurusan hutan dirian telah
dibangunkan. Model ini diuji dalam Unit Perancangan Alt?noluk (APU)
menggunakan teknik simulasi reruang berdasarkan pelbagai parameter
reruang. Keputusan menunjukkan bahawa model reruang telah berjaya
memenuhi syarat-syarat sekatan reruang rancangan pengurusan hutan.
Kata kunci: Lewat hijau-naik; matriks perpecahan; perancangan
hutan reruang; saiz blok; saiz pembuka
RUJUKAN
Başkent, E.Z. & Jordan, G.A. 2002.
Forest landscape management modeling using simulated annealing. Forest
Ecology and Management 165: 29-45.
Başkent, E.Z. & Jordan, G.A. 1996.
Designing forest management to control spatial structure of landscapes. Landscape
and Urban Planning 34: 55-74.
Başkent, E.Z. & Jordan, G.A. 1995.
Characterizing spatial structure of forest landscapes. Canadian Journal of
Forest Research 25: 1830-1849.
Başkent, E.Z. & Jordan G.A. 1991.
Spatial wood supply simulation modeling. Forestry Chronicle 67 (6):
610-621.
Başkent, E.Z. & Keleş, S. 2009.
Developing alternative forest management planning strategies incorporating
timber, water and carbon values: An examination of their interactions. Environmental
Modeling and Assessment 14: 467-480.
Başkent, E.Z. & Keleş, S. 2005.
Spatial forest planning: A review. Ecological Modelling 188: 145-173.
Başkent, E.Z.,
Keleş, S. & Kad?oğullar?, A.İ. 2014. Challenges in
developing and implementing a decision support systems (ETÇAP) in forest
management planning: A case study in Honaz and Ibrad?, Turkey. Scandinavian
Journal of Forest Research DOI: 10.1080/02827581.2013. 822543.
Borges, J.G. &
Hoganson, H.M. 2000. Structuring a landscape by forestland classification and harvest
scheduling spatial constraints. Forest Ecology and Management 139:
269-275.
Borges, J.G. &
Hoganson, H.M. 1999. Assessing the impact of management unit design and
adjacency constraints on forest wide spatial conditions and timber revenues. Canadian
Journal of Forest Research 29: 1764-1774.
Boston, K. & Bettinger,
P. 1999. An analysis of Monte Carlo integer programming, simulated annealing,
and tabu search heuristics for solving spatial harvest scheduling problems. Forest
Science 45(2): 292-301.
Caro, F., Constantino, M., Martins, I. &
Weintraub, A. 2003. A 2-opt tabu search procedures for the multiperiod forest
harvesting problem with adjacency, green-up, old growth, and even flow
constraints. Forest Science 49(5): 738-751.
Clark, M.M., Meller, R.D. & McDonald, T.P.
2000. A three stage heuristic for harvest scheduling with access road network
development. Forest Science 46: 204-218.
Clements, S., Dallain, P. & Jamnick, M.
1990. An operationally, spatially constrained harvest scheduling model. Canadian
Journal of Forest Research 20: 1438-1447.
Crowe, K. & Nelson, J. 2003. An indirect
search algorithm for harvest scheduling under adjacency constraints. Forest
Science 49(1): 1-11.
Davis, L.S., Johnson, K.N., Bettinger, P. &
Howard, T.E. 2001. Forest Management: to Sustain Ecological, Economic, and
Social Values. Columbus: McGraw-Hill Companies Inc. p. 804.
Falcao, A.O. & Borges, J. 2002. Combining
random and systematic search heuristic procedures for solving spatially
constrained forest management scheduling models. Forest Science 48(3):
608-621.
Hoganson, H.M. & Borges, J.G. 1998. Using
dynamic programming and overlapping subproblems to address adjacency in large
harvest scheduling problems. Forest Science 44(4): 526-538.
Jamnick, M.S. & Walters, K.R. 1993. Spatial
and temporal allocation of stratum-based harvest schedules. Canadian Journal
of Forest Research 23: 402-413.
Jordan, G.A. & Başkent, E.Z. 1992. A
case study in spatial wood supply analysis. The Forestry Chronicle 68(4):
503-516.
Kad?oğullar?, A.İ. 2009. Controlling
spatial forest structure with meta-heuristics techniques in forest management
planning: Spatial planning. PhD Thesis, Karadeniz Technical University, Faculty
of Forestry, Trabzon, Turkey, p. 175 (Unpublished).
Keleş, S. 2008. Designing and developing a
decision support system for forest management planning, 2008. PhD Thesis,
Karadeniz Technical University, Faculty of Forestry, Trabzon, Turkey, p. 209
(Unpublished).
Korosuo, A. 2013. Spatial problems in long-term
forest planning. From Preferences to Plans. PhD Thesis. Swedish University of
Agricultural Sciences. pp. 1-42 (Unpublished).
Kurttila, M. 2001. The spatial structure of
forests in the optimization calculations of forest planning: A landscape
ecological perspective. Forest Ecology and Management 142: 129-142.
Liu, G., Nelson, J.D. & Wardman, C.W. 2000.
A target-oriented approaches to forest ecosystem design-changing the rules of
forest planning. Ecological Modelling 127: 269-281.
McDill, M.E. & Braze, J. 2000. Comparing
adjacency constraint formulations for randomly generated forest planning
problems with four age-class distributions. Forest Science 46(3):
423-436.
McGarigal, K. & Marks, B.J. 1995. FRAGSTATS.
USDA Forest Service, Pacific Northwest Research Station, Portland, OR. General
Technical Report PNW–351. p. 141.
Morgan, P., Aplet, G.H., Haufler, J.B.,
Humphries, H.C., Moore, M.M. & Wilson, W.D. 1994. Historical range of
variability: A useful tool for evaluating ecosystem change. In Assessing
Forest Ecosystem Health in the Inland West, edited by Sampson, R.N. &
Adams, D.A. Binghamton, NY: Haworth Press. pp. 87-111.
Mullen, D.S. & Butler, R.M. 1997. The design
of a genetic algorithm based spatially constrained timber harvest scheduling
model. http://www.for.msu.edu/e4/e4 ssafr97. html. Accessed on 1 August 2013.
Murray, A.T. 1999. Spatial restrictions in
harvest scheduling. Forest Science 45(1): 45-52.
Murray, A.T. & Weintraub, A. 2002. Scale and
unit specification influences in harvest scheduling with maximum area
restrictions. Forest Science 48(4): 779-789.
Murray, A.T. & Church, R.L. 1995. Heuristic
solution approaches to operational forest planning problems. OR Spektrum 17:
193-203.
Nelson, J. & Brodie, J.D. 1990. Comparison
of a random search algorithm and mixed integer programming for solving
area-based forest plans. Canadian Journal of Forest Research 20:
934-942.
Nur, A.M.M., Jordan, G.A. & Başkent,
E.Z. 2000. Spatial stratification. Forestry Chronicle 76: 311-317.
Richards, E.W. & Gunn, E.A. 2000. A model
and tabu search method to optimize stand harvest and road construction
schedules. Forest Science 46(2): 188-203.
Sessions, J. & Sessions, J.B. 1991. Scheduling
and Network Analysis Program (SNAP II) Users Guide Version 1.02.,
Corvallis, OR: Oregon State University.
Snyder, S. & ReVelle, C. 1997. Dynamic
selection of harvests with adjacency restrictions: The SHARe model. Forest
Science 43(2): 213-222.
Wimberly, M.C. 2002. Spatial simulation of
historical landscape patterns in coastal forests of the Pacific Northwest. Canadian
Journal of Forest Research 32: 1316-1328.
*Pengarang untuk
surat-menyurat; email: alikadi@ktu.edu.tr
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