Category :
Research article
article id 516,
category
Research article
Celeste Lacuna-Richman.
(2003).
Ethnicity and the utilization of non-wood forest products: findings from three Philippine villages.
Silva Fennica
vol.
37
no.
1
article id 516.
https://doi.org/10.14214/sf.516
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The utilization and trade of non-wood forest products in three villages in the Philippines were compared in this study. Two villages were situated close to each other on the Island of Palawan. The Tagbanua, an indigenous people, inhabited one village; migrants from the Visayas Region of the Philippines populated the other. The third village is located on the Island of Leyte, in the Visayas Region, populated by native Visayan settlers. There was no significant difference in the number of NWFPs utilized by the indigenous people and the migrants. However, there was a wide disparity in income between the two groups, with migrants earning more, partly due to the marketing of commercial NWFPs. This gap could be decreased by fairer trading practices that are dependent in part on better educational opportunities, land rights, legal assistance and access to markets for the Tagbanua. Specific socioeconomic characteristics, such as the presence of a hunter within the household and size of the family were found to have a positive correlation with the use of NWFPs in some study villages. Income and the food expenditure of the household were inversely related with the use of NWFPs in the native Visayan village.
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Lacuna-Richman,
Faculty of Forestry, University of Joensuu, P.O. Box 111, FIN-80101 Joensuu, Finland
E-mail:
[email protected]
article id 515,
category
Research article
Juho Rantala,
Kari Väätäinen,
Nuutti Kiljunen,
Pertti Harstela.
(2003).
Economic evaluation of container seedling packing and disinfection machinery.
Silva Fennica
vol.
37
no.
1
article id 515.
https://doi.org/10.14214/sf.515
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Productivity and costs of packing container seedlings were studied in a mechanised line for packing and disinfecting seedling trays. The hypothesis was that adequate cost-efficiency could be achieved when some common principles of mechanisation were applied. Results indicated that the unit costs are lower than those of manual packing, if these principles were applied and the annual number of packed seedlings exceeded 6 million. However, most of the nurseries in Finland are still too small to gain a real advantage from large-scale production.
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Rantala,
Finnish Forest Research Institute, Suonenjoki Research Station, FIN-77600 Suonenjoki, Finland
E-mail:
[email protected]
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Väätäinen,
Finnish Forest Research Institute, Joensuu Research Centre, FIN-80101 Joensuu, Finland
E-mail:
[email protected]
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Kiljunen,
Finnish Forest Research Institute, Suonenjoki Research Station, FIN-77600 Suonenjoki, Finland
E-mail:
[email protected]
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Harstela,
Finnish Forest Research Institute, Suonenjoki Research Station, FIN-77600 Suonenjoki, Finland
E-mail:
[email protected]
article id 514,
category
Research article
Jukka Malinen.
(2003).
Locally adaptable non-parametric methods for estimating stand characteristics for wood procurement planning.
Silva Fennica
vol.
37
no.
1
article id 514.
https://doi.org/10.14214/sf.514
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The purpose of this study was to examine the use of the local adaptation of the non-parametric Most Similar Neighbour (MSN) method in estimating stand characteristics for wood procurement planning purposes. Local adaptation was performed in two different ways: 1) by selecting local data from a database with the MSN method and using that data as a database in the basic k-nearest neighbour (k-nn) MSN method, 2) by selecting a combination of neighbours from the neighbourhood where the average of the predictor variables was closest to the target stand predictor variables (Locally Adaptable Neighbourhood (LAN) MSN method). The study data used comprised 209 spruce dominated stands located in central Finland and was collected with harvesters. The accuracy of the methods was analysed by estimating the tree stock characteristics and the log length/diameter distribution produced by a bucking simulation. The local k-nn MSN method was not notably better than the k-nn MSN method, although it produced less biased estimates on the edges of the input space. The LAN MSN method was found to be a more accurate method than the k-nn methods.
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Malinen,
University of Joensuu, Faculty of Forestry, P.O. Box 111, FIN-80101 Joensuu, Finland
E-mail:
[email protected]
article id 513,
category
Research article
Marjut Ihalainen,
Kauko Salo,
Timo Pukkala.
(2003).
Empirical prediction models for Vaccinium myrtillus and V. vitis-idaea berry yields in North Karelia, Finland.
Silva Fennica
vol.
37
no.
1
article id 513.
https://doi.org/10.14214/sf.513
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Forest berries and the outdoor experiences related to berry collection are important goods and services provided by Finnish forests. Consequently, there is a need for models which facilitate the prediction of the impacts of alternative forest management options on berry yields. Very few such models are available. In particular, empirical models are lacking. Models used in forest management should express the effect of variables altered in forest management such as stand density and mean tree size. This study developed empirical models for bilberry and cowberry yields in North Karelia. The data consisted of 362 measurements of 40 m2 sample plots. The plots were located in clusters. The same plot was measured over 1 to 4 years. Besides berry yield some site and growing stock characteristics of each plot were measured. A random parameter model was used to express the berry yield as a function of site fertility, growing stock characteristics, and random parameters. The random part of the models accounted for the effect of plot, measurement year, and cluster. The fixed predictors of the model for bilberry were stand age and forest site type. Stand basal area, mean tree diameter and forest site type were used to predict cowberry yields. The most significant random parameter was the plot factor. The fixed model part explained only a few per cent of the variation in berry yields. The signs of regression coefficients were logical and the model predictions correlated rather well with the predictions of earlier models.
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Ihalainen,
University of Joensuu, P.O. Box 111, FIN-80101 Joensuu, Finland
E-mail:
[email protected]
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Salo,
The Finnish Forest Research Institute, Joensuu Research Centre, P.O. Box 68, FIN-80101 Joensuu, Finland
E-mail:
[email protected]
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Pukkala,
University of Joensuu, P.O. Box 111, FIN-80101 Joensuu, Finland
E-mail:
[email protected]
article id 512,
category
Research article
Juha-Pekka Hotanen.
(2003).
Multidimensional site description of peatlands drained for forestry.
Silva Fennica
vol.
37
no.
1
article id 512.
https://doi.org/10.14214/sf.512