DOI: 10.1016/j.foreco.2015.12.034
Scopus记录号: 2-s2.0-84951752859
论文题名: Evaluation of bilberry and cowberry yield models by comparing model predictions with field measurements from North Karelia, Finland
作者: Kilpeläinen H. ; Miina J. ; Store R. ; Salo K. ; Kurttila M.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2016
卷: 363 起始页码: 120
结束页码: 129
语种: 英语
英文关键词: Decision support
; Model validation
; Multiple use forest management
; Non-wood forest products
; Wild berries
Scopus关键词: Artificial intelligence
; Decision making
; Decision support systems
; Forecasting
; Fruits
; Input output programs
; Decision supports
; Model validation
; Multiple use
; Non-wood forest products
; Wild berries
; Forestry
; Vaccinium myrtillus
; Vaccinium vitis-idaea
英文摘要: Models estimated for non-wood forest products (NWFPs) are used to support the multi-objective use of forest and related decision making in various ways. In Finland, bilberries (Vaccinium myrtillus) and cowberries (Vaccinium vitis-idaea) are among the most important NWFPs, and yield models for them have been estimated and linked into forest simulators. So far, berry yield models have not been evaluated using independent data that were not used in model estimation. In this study, independent data on berry yields, as well as stand and site characteristics used as predictors in yield models, were measured from a total of 230 sample plots in North Karelia, Finland. The predictions of four bilberry and four cowberry models published previously were evaluated on the basis of the models' prediction bias, precision and applicability in locating the best berry stands for picking. The bias and precision of the models varied highly. Due to bias, the models should be calibrated before applying them in forest decision support systems. The models for bilberry located the best berry stands more reliably than did those for cowberry. Visits to twice as many stands, as guided by the models, were needed to harvest a given amount of bilberries, but, for cowberry, the number of stands to be visited was four-fold in comparison to the situation where the measured yields were known. Besides the forest inventory data measured in the field, we also used the freely available multi-source national forest inventory (MS-NFI) data covering the whole of Finland as input data for the berry models. Both data sets were equally suitable to be used as the input data for the berry models. © 2015 . Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65080
Appears in Collections: 影响、适应和脆弱性
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作者单位: Natural Resources Institute Finland (Luke), Yliopistokatu 6, Joensuu, Finland; Natural Resources Institute Finland (Luke), Silmäjärventie 2, Kannus, Finland
Recommended Citation:
Kilpeläinen H.,Miina J.,Store R.,et al. Evaluation of bilberry and cowberry yield models by comparing model predictions with field measurements from North Karelia, Finland[J]. Forest Ecology and Management,2016-01-01,363