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• W2004870082 abstract "Knowledge about the growing stock and the cutting potentials of stands, as well as predictions of growth and yield, are essential aspects of forest management planning. Growth predictions are obtained using complex simulation systems, whose accuracy and precision are difficult to predict. The uncertainty of growth and yield predictions, as well as the uncertainty of the stand-level inventory data behind the predictions, are not usually taken into account sufficiently in the planning process. Furthermore, the uncertainty resulting from the increasing use of updated inventory data as planning data should be studied in connection with current forest planning practices. However, the lack of suitable comprehensive re-measured study data sets with true planning data must also be noted. This dissertation provides new knowledge on the uncertainty related to forest management data. It also addresses the possibilities to use updated forest inventory data as forest management planning data and evaluates assessment methods for predicting the uncertainty of forest management data. Furthermore, four alternative simulation methods are evaluated as regards their ability to generate assessment errors in forest management planning data for further research. The usability of updated forest management planning data is evaluated also by looking at the suitability of the proposals for forest management operations as derived from the updated data. The accuracy and precision of stand-level inventory were found to be moderate, although the costs and time spent in field work are considered to be fairly high. The variation between measurers was substantial. This variation in stand-level inventory data should be noted in forest management planning. The assessment of uncertainty of updated forest management data was approached by means of two different methods, i.e. by modelling observed (past) errors and by applying the k-nearest neighbor method with multiobjective optimization. The uncertainty assessments of growth and yield predictions using these methods were found to be feasible with large stand data. The main advantage of the studied methods is in that both bias and accuracy can be assessed. However, the methods require independent contemporary data, which is their main drawback. Modelling observed (past) errors and k-nearest neighbor are quite easy to apply in forest simulation systems if only contemporary models and distance functions are estimated. The utilization of both methods does not considerably add the calculation time even when dealing with growth predictions for large areas. Stand-specific predictions of uncertainty were also found to be satisfactory. According to the results of this study, updated stand inventory data can be used as a forest management planning data with respect to the accuracy of the updated stand characteristics. Updated stand inventory data were also found feasible with respect to treatment proposals when the mean stand characteristics and regulations and recommendations of current forest management practices were considered. However, treespecific data are considered to be a slightly more suitable in this context." @default.
• W2004870082 created "2016-06-24" @default.
• W2004870082 creator A5022653496 @default.
• W2004870082 date "2005-01-01" @default.
• W2004870082 modified "2023-09-25" @default.
• W2004870082 title "The uncertainty of forest management planning data in Finnish non-industrial private forestry" @default.
• W2004870082 cites W1480126905 @default.
• W2004870082 cites W1511446069 @default.
• W2004870082 cites W1547958271 @default.
• W2004870082 cites W1601135875 @default.
• W2004870082 cites W1963821112 @default.
• W2004870082 cites W1973748087 @default.
• W2004870082 cites W1976865627 @default.
• W2004870082 cites W1977921292 @default.
• W2004870082 cites W1980798623 @default.
• W2004870082 cites W1985258161 @default.
• W2004870082 cites W1986971393 @default.
• W2004870082 cites W1990888192 @default.
• W2004870082 cites W1991822498 @default.
• W2004870082 cites W1993330600 @default.
• W2004870082 cites W1995160770 @default.
• W2004870082 cites W1995909050 @default.
• W2004870082 cites W1999739717 @default.
• W2004870082 cites W2000366752 @default.
• W2004870082 cites W2003193807 @default.
• W2004870082 cites W2011343212 @default.
• W2004870082 cites W2017282822 @default.
• W2004870082 cites W2020127916 @default.
• W2004870082 cites W2021145657 @default.
• W2004870082 cites W2022738611 @default.
• W2004870082 cites W2026008421 @default.
• W2004870082 cites W2030130781 @default.
• W2004870082 cites W2030141055 @default.
• W2004870082 cites W2031305957 @default.
• W2004870082 cites W2039146102 @default.
• W2004870082 cites W2039915946 @default.
• W2004870082 cites W2042828051 @default.
• W2004870082 cites W2048206293 @default.
• W2004870082 cites W2054545040 @default.
• W2004870082 cites W2059131210 @default.
• W2004870082 cites W2059555585 @default.
• W2004870082 cites W2059809593 @default.
• W2004870082 cites W2059932500 @default.
• W2004870082 cites W2065401301 @default.
• W2004870082 cites W2069733885 @default.
• W2004870082 cites W2069888879 @default.
• W2004870082 cites W2073145765 @default.
• W2004870082 cites W2074706991 @default.
• W2004870082 cites W2077563060 @default.
• W2004870082 cites W2078647762 @default.
• W2004870082 cites W2084746297 @default.
• W2004870082 cites W2097740558 @default.
• W2004870082 cites W2101365296 @default.
• W2004870082 cites W2101424588 @default.
• W2004870082 cites W2118599299 @default.
• W2004870082 cites W2119709769 @default.
• W2004870082 cites W2122557178 @default.
• W2004870082 cites W2126762572 @default.
• W2004870082 cites W2147632348 @default.
• W2004870082 cites W2152710595 @default.
• W2004870082 cites W2156254843 @default.
• W2004870082 cites W2158623750 @default.
• W2004870082 cites W2171808094 @default.
• W2004870082 cites W2275172481 @default.
• W2004870082 cites W2279403499 @default.
• W2004870082 cites W2283207222 @default.
• W2004870082 cites W2283441043 @default.
• W2004870082 cites W2283650758 @default.
• W2004870082 cites W2286369077 @default.
• W2004870082 cites W2290937242 @default.
• W2004870082 cites W2300729860 @default.
• W2004870082 cites W2303619370 @default.
• W2004870082 cites W2305132426 @default.
• W2004870082 cites W2310760764 @default.
• W2004870082 cites W2519724882 @default.
• W2004870082 cites W2520983271 @default.
• W2004870082 cites W2521861594 @default.
• W2004870082 cites W2526954801 @default.
• W2004870082 cites W2577911807 @default.
• W2004870082 cites W2611881884 @default.
• W2004870082 cites W2615953416 @default.
• W2004870082 cites W2766124766 @default.
• W2004870082 cites W2797508167 @default.
• W2004870082 cites W2912410015 @default.
• W2004870082 cites W2985828996 @default.
• W2004870082 cites W3029041722 @default.
• W2004870082 cites W3032440479 @default.
• W2004870082 cites W3034024618 @default.
• W2004870082 cites W3034266238 @default.
• W2004870082 cites W3034892963 @default.
• W2004870082 cites W3048700598 @default.
• W2004870082 cites W3127928244 @default.
• W2004870082 cites W3194665728 @default.
• W2004870082 cites W2077171284 @default.
• W2004870082 cites W3035504295 @default.
• W2004870082 doi "https://doi.org/10.14214/df.8" @default.
• W2004870082 hasPublicationYear "2005" @default.
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