DOI: 10.1016/j.foreco.2017.05.054
Scopus记录号: 2-s2.0-85021182405
论文题名: Using tree-ring data to improve timber-yield projections for African wet tropical forest tree species
作者: Groenendijk P. ; Bongers F. ; Zuidema P.A.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 400 起始页码: 396
结束页码: 407
语种: 英语
英文关键词: Future crop trees
; Growth projections
; Logging cycle
; Minimum logging diameter
; Sustainable forest management
; Timber volume
Scopus关键词: Conservation
; Economics
; Harvesting
; Knowledge based systems
; Logging (forestry)
; Reforestation
; Timber
; Crop trees
; Growth projections
; Logging cycle
; Minimum logging diameter
; Sustainable forest management
; Timber volume
; Forestry
英文摘要: Worldwide, over 400 million hectares of tropical forests are set aside for timber production. Several certification schemes exist to ensure more sustainable exploitation and large areas of production forests are currently certified. Under such schemes, logging companies are required to evaluate whether species are not overexploited and, if necessary, adapt their logging activities. However, the data needed to project exploitation intensities – growth, mortality and regeneration rates of trees – are scarce or non-existent. Tree-ring analysis provides lifetime species-specific growth data that can be used to allow or improve the projections of timber availability during following logging cycles. In this study, we integrated growth data from tree rings with logging inventory data to forecast timber yields in the next harvest round for four timber species in Cameroon. We compared projections using tree-ring data with projections using fixed growth rates, as set by law and customarily applied in Cameroon. Additionally, we assessed the effect of increasing logging cycles and of using filed-based species-specific logging intensities on the next cycle's yield projections. Under current logging practices, timber volumes available at next logging cycles are projected to be 21–36% of the volumes obtained at first harvest. Simulations using fixed rates often resulted in lower yields with lower volume ingrowth from trees that were below minimum cutting diameters in the first harvest. Lengthening the logging cycle increased yield predictions during the next harvests, but yields were still not sustained over time. This problem can be resolved by using species-specific logging intensities, which led to projected yields of up to 73% of the initial harvested volume. The growth data provided by tree-ring analysis allows conducting such species-specific projections and thus helps to provide the knowledge base necessary for sustainable forest management. Yet, the low overall yields are a concern to forest conservation, as loss of economic value may lead to conversion of forests to other land uses. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64243
Appears in Collections: 影响、适应和脆弱性
There are no files associated with this item.
作者单位: Forest Ecology and Forest Management Group, Wageningen University, P.O. Box 47, Netherlands; Departamento de Botánica, Escola Politécnica Superior, Universidade de Santiago de Compostela, Lugo, Spain; Department of Plant Biology, Institute of Biology, University of Campinas – UNICAMP, P.O. Box 6109, Campinas, SP, Brazil
Recommended Citation:
Groenendijk P.,Bongers F.,Zuidema P.A.. Using tree-ring data to improve timber-yield projections for African wet tropical forest tree species[J]. Forest Ecology and Management,2017-01-01,400