DOI: 10.1016/j.foreco.2016.12.035
Scopus记录号: 2-s2.0-85008975730
论文题名: Impact of forest management intensity on mushroom occurrence and yield with a simulation-based decision support system
作者: Kucuker D.M. ; Baskent E.Z.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 389 起始页码: 240
结束页码: 248
语种: 英语
英文关键词: ETÇAPSimulation
; Forest management intervention
; Non-wood forest products
; Sustainable forest management
Scopus关键词: Artificial intelligence
; Decision making
; Decision support systems
; Fungi
; Planning
; Productivity
; Spatial distribution
; Timber
; Decision support system (dss)
; Forest management planning
; Forest management policies
; Management interventions
; Management scenarios
; Non-wood forest products
; Simulation-based modeling
; Sustainable forest management
; Forestry
; biological production
; crop yield
; decision support system
; forest management
; mushroom
; nontimber forest product
; spatial distribution
; species occurrence
; sustainable forestry
; yield response
; Turkey
; Basidiomycota
; Lactarius
; Lactarius salmonicolor
英文摘要: Well-researched and sound integration of non-wood forest products into a forest management planning process presents an opportunity to understand the fundamental causative basis of forest dynamics through decision support systems (DSS). The aim of this study is to present a simulation-based mushroom integrated decision support system, ETÇAPSimulation model, and forecast the effects of forest management intensity on mushroom productivity and occurrence. This is conducted through five policy sets with different planning scenarios, representing timber-oriented forest management (T1), multipurpose forest management (M1, M4, M6), and no intervention (NI). The study area involves the Kızılcasu Planning unit from the northwestern part of Turkey. The spatial distribution and productivity models of Lactarius delisiosus and L. salmonicolor generated for the Kızılcasu Planning unit were used in the simulation based model. The results indicated that both minimum harvesting ages and the intensity of forest management interventions are very important for increasing mushroom productivity and occurrence in the case study area. Under the T1 forest management scenario, mushroom productivity is estimated to be approximately 12,469 tonnes. When the planning approach changes to NI, M1, M4 and M6, however, mushroom productivity experiences 86%, 28%, 26% and 33% reduction rates, respectively. Despite these reductions, spatial distribution of mushrooms has been positively affected by forest management interventions. Simulations with multipurpose management policy would probably lead lower estimations of spatial distribution areas and productivity of mushroom than timber-oriented forest management policy would. Multiple-use planning approach seems to contribute less to mushroom productivity and the occurrence than does timber-oriented approach. In fact, determining optimal harvesting ages and the intensity of forest management interventions for each forest value presents a great challenge for decision makers. The DSS tools like ETÇAPSimulation are of great importance to understand the long term effects of various management plans on forest dynamics. Active management of forest resources will be important for achieving simultaneous production of timber products and mushrooms. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64477
Appears in Collections: 影响、适应和脆弱性
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作者单位: Faculty of Forestry, Karadeniz Technical University, Trabzon, Turkey
Recommended Citation:
Kucuker D.M.,Baskent E.Z.. Impact of forest management intensity on mushroom occurrence and yield with a simulation-based decision support system[J]. Forest Ecology and Management,2017-01-01,389