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

 

Received: 30 May 2014/Accepted: 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

REFERENCES

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 Spektrum17: 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.

 

 

*Corresponding author; email: alikadi@ktu.edu.tr

 

 

 

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