Category :
                    
                    Special section
                                    
                            
                    
        
            
            article id 472,
                            category
                        Special section
                    
        
        
                            Raisa Mäkipää,
                            Jari Liski,
                            Mats Olsson,
                            Pete Smith,
                            Esther Thürig.
                    
                    
                (2007).
            
                            
                                    Workshop on Development of Models and Forest Soil Surveys for Monitoring of Soil Carbon.
                            
                            
                Silva Fennica
                                                            vol.
                                        41
                                                                            no.
                                        3
                                article id 472.
            
                            
                https://doi.org/10.14214/sf.472
            
             
        
                                            
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                            Selected Papers of the Workshop on Development of Models and Forest Soil Surveys for Monitoring of Soil Carbon.
                        
                
                                            - 
                            Mäkipää,
                            Finnish Forest Research Institute
                                                        E-mail:
                                                            rm@nn.fi
                                                                                          
- 
                            Liski,
                            Finnish Environment Institute, Finland
                                                        E-mail:
                                                            jl@nn.fi
                                                                                
- 
                            Olsson,
                            Swedish University of Agricultural Sciences, Sweden
                                                        E-mail:
                                                            mo@nn.se
                                                                                
- 
                            Smith,
                            University of Aberdeen, UK
                                                        E-mail:
                                                            ps@nn.uk
                                                                                
- 
                            Thürig,
                            Swiss Federal Research Institute WSL, Switzerland
                                                        E-mail:
                                                            et@nn.ch
                                                                                
 
         
     
 
            
        
            
            article id 290,
                            category
                        Special section
                    
        
        
                            Mikko Peltoniemi,
                            Esther Thürig,
                            Stephen Ogle,
                            Taru Palosuo,
                            Marion Schrumpf,
                            Thomas Wutzler,
                            Klaus Butterbach-Bahl,
                            Oleg Chertov,
                            Alexander Komarov,
                            Aleksey Mikhailov,
                            Annemieke Gärdenäs,
                            Charles Perry,
                            Jari Liski,
                            Pete Smith,
                            Raisa Mäkipää.
                    
                    
                (2007).
            
                            
                                    Models in country scale carbon accounting of forest soils.
                            
                            
                Silva Fennica
                                                            vol.
                                        41
                                                                            no.
                                        3
                                article id 290.
            
                            
                https://doi.org/10.14214/sf.290
            
             
        
                                    
                                    
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                            Countries need to assess changes in the carbon stocks of forest soils as  a part of national greenhouse gas (GHG) inventories under the United  Nations Framework Convention on Climate Change (UNFCCC) and the Kyoto  Protocol (KP). Since measuring these changes is expensive, it is likely  that many countries will use alternative methods to prepare these  estimates. We reviewed seven well-known soil carbon models from the  point of view of preparing country-scale soil C change estimates. We  first introduced the models and explained how they incorporated the most  important input variables. Second, we evaluated their applicability at  regional scale considering commonly available data sources. Third, we  compiled references to data that exist for evaluation of model  performance in forest soils. A range of process-based soil carbon models  differing in input data requirements exist, allowing some flexibility  to forest soil C accounting. Simple models may be the only reasonable  option to estimate soil C changes if available resources are limited.  More complex models may be used as integral parts of sophisticated  inventories assimilating several data sources. Currently, measurement  data for model evaluation are common for agricultural soils, but less  data have been collected in forest soils. Definitions of model and  measured soil pools often differ, ancillary model inputs require scaling  of data, and soil C measurements are uncertain. These issues complicate  the preparation of model estimates and their evaluation with empirical  data, at large scale. Assessment of uncertainties that accounts for the  effect of model choice is important part of inventories estimating  large-scale soil C changes. Joint development of models and large-scale  soil measurement campaigns could reduce the inconsistencies between  models and empirical data, and eventually also the uncertainties of  model predictions.
                        
                
                                            - 
                            Peltoniemi,
                            Finnish Forest Research Institute, Vantaa Research Unit, P.O. Box 18, FI-01301 Vantaa, Finland
                                                        E-mail:
                                                            mikko.peltoniemi@metla.fi
                                                                                          
- 
                            Thürig,
                            Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland; European Forest Institute, Joensuu, Finland
                                                        E-mail:
                                                            et@nn.ch
                                                                                
- 
                            Ogle,
                            Natural Resources Ecology Laboratory, Colorado State University, Fort Collins, USA
                                                        E-mail:
                                                            so@nn.us
                                                                                
- 
                            Palosuo,
                            European Forest Institute, Joensuu, Finland
                                                        E-mail:
                                                            tp@nn.fi
                                                                                
- 
                            Schrumpf,
                            Max-Planck-Institute for Biogeochemistry, Jena, Germany
                                                        E-mail:
                                                            ms@nn.de
                                                                                
- 
                            Wutzler,
                            Max-Planck-Institute for Biogeochemistry, Jena, Germany
                                                        E-mail:
                                                            tw@nn.de
                                                                                
- 
                            Butterbach-Bahl,
                            Institute for Meteorology and Climate Research, Forschungszentrum Karlsruhe GmbH, Garmisch-Partenkirchen, Germany
                                                        E-mail:
                                                            kbb@nn.de
                                                                                
- 
                            Chertov,
                            St. Petersburg State University, St. Petersburg-Peterhof, Russia
                                                        E-mail:
                                                            oc@nn.ru
                                                                                
- 
                            Komarov,
                            Institute of Physicochemical and Biological Problems in Soil Science of Russian Academy of Sciences, Pushchino, Russia
                                                        E-mail:
                                                            ak@nn.ru
                                                                                
- 
                            Mikhailov,
                            Institute of Physicochemical and Biological Problems in Soil Science of Russian Academy of Sciences, Pushchino, Russia
                                                        E-mail:
                                                            am@nn.ru
                                                                                
- 
                            Gärdenäs,
                            Dept. of Soil Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden
                                                        E-mail:
                                                            ag@nn.se
                                                                                
- 
                            Perry,
                            USDA Forest Service, Northern Research Station, St. Paul, MN USA
                                                        E-mail:
                                                            cp@nn.us
                                                                                
- 
                            Liski,
                            Finnish Environment Institute, Helsinki, Finland
                                                        E-mail:
                                                            jl@nn.fi
                                                                                
- 
                            Smith,
                            School of Biological Sciences, University of Aberdeen, Aberdeen, UK
                                                        E-mail:
                                                            ps@nn.uk
                                                                                
- 
                            Mäkipää,
                            Finnish Forest Research Institute, Vantaa Research Unit, P.O. Box 18, FI-01301 Vantaa, Finland
                                                        E-mail:
                                                            raisa.makipaa@metla.fi
                                                                                
 
         
     
 
            
        
            
            article id 289,
                            category
                        Special section
                    
        
        
                            Thomas Wutzler,
                            Martina Mund.
                    
                    
                (2007).
            
                            
                                    Modelling mean above and below ground litter production based on yield tables.
                            
                            
                Silva Fennica
                                                            vol.
                                        41
                                                                            no.
                                        3
                                article id 289.
            
                            
                https://doi.org/10.14214/sf.289
            
             
        
                                    
                                    
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                            Estimates of litter production are a prerequisite for modeling soil  carbon stocks and its changes at regional to national scale. However,  the required data on biomass removal is often available only for the  recent past. In this study we used yield tables as a source of probable  past forest management to drive a single tree based stand growth model.  Next, simulated growth and timber volume was converted to tree  compartment carbon stocks and biomass turnover. The study explicitly  accounted for differences in site quality between stands. In addition we  performed a Monte Carlo uncertainty and sensitivity analysis. We  exemplify the approach by calculating long-term means of past litter  production for 10 species by using yield tables that have been applied  in Central Germany during the last century. We found that litter  production resulting from harvest residues was almost as large as the  one from biomass turnover. Differences in site quality caused large  differences in litter production. At a given site quality, the  uncertainty in soil carbon inputs were 14%, 17%, and 25% for beech,  spruce, and pine stands, respectively. The sensitivity analysis showed  that the most influential parameters were associated with foliage  biomass and turnover. We conclude that rates of mean past litter  production and their uncertainties can reliably be modeled on the basis  of yield tables if the model accounts for 1) full rotation length  including thinning and final harvest, 2) differences in site quality,  and 3) environmental dependency of foliage biomass and foliage turnover.
                        
                
                                            - 
                            Wutzler,
                            Max Planck Institute for Biogeochemistry, Jena, Germany
                                                        E-mail:
                                                            tm@nn.de
                                                                                          
- 
                            Mund,
                            Max Planck Institute for Biogeochemistry, Jena, Germany
                                                        E-mail:
                                                            mm@nn.de
                                                                                
 
         
     
 
            
        
            
            article id 288,
                            category
                        Special section
                    
        
        
                                    
                                    
                            Abstract |
                        
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                            Carbon sequestration rates in forest soil can be estimated using the  concept of calculable stable remains in decomposing litter. In a case  study of Swedish forest land we estimated C-sequestration rates for the  two dominant tree species in the forest floor on top of the mineral  soil. Carbon sequestration rates were upscaled to the forested land of  Sweden with 23 x 106 ha with Scots pine (Pinus sylvestris L.)  and Norway spruce (Picea abies (Karst.) L.). Two different theoretical  approaches, based on limit-value for litter decomposition and N-balance  for vegetation and SOM gave rates of the same magnitude. For the  upscaling, using these methods, 17 000 grids of 5 x 5 km were used.
The ‘limit-value approach’ gave a sequestration of 4.8   106 tons of C, annually sequestered in the forest floor, with an average of 180 kg C ha–1 yr–1 and a range from 40 to 410 kg C ha–1 yr–1. The ‘N-balance approach’ gave an average value of c. 96 kg ha–1 yr–1 and a range from –60 to 360 kg ha–1 yr–1.  A method based on direct measurements of changes in humus depth over 40  years, combined with C analyses gave an average rate that was not very  different from the calculated rates, viz. c. 180 kg ha–1 yr–1 and a range from –20 to 730 kg ha–1 yr–1. These values agree with forest floor C sequestration rate based on e.g. sampling of chronsequences but differ from CO2 balance measurements.
The  three approaches showed different patterns over the country and regions  with high and low carbon sequestration rates that were not always  directly related to climate.
                
                                            - 
                            Berg,
                            Dept. of Forest Ecology, University of Helsinki, Finland (present address: Dipartimento Biologia Strutturale e Funzionale, Complesso Universitario, Monte S. Angelo, Napoli, Italy
                                                        E-mail:
                                                            bjorn.berg@helsinki.fi
                                                                                          
- 
                            Gundersen,
                            Forest & Landscape Denmark, University of Copenhagen, Denmark
                                                        E-mail:
                                                            pg@nn.dk
                                                                                
- 
                            Akselsson,
                            Swedish Environmental Research Institute, IVL, Gothenburg, Sweden
                                                        E-mail:
                                                            ca@nn.se
                                                                                
- 
                            Johansson,
                            Department of Forest Soils, SLU, Uppsala, Sweden
                                                        E-mail:
                                                            mbj@nn.se
                                                                                
- 
                            Nilsson,
                            Department of Forest Soils, SLU, Uppsala, Sweden
                                                        E-mail:
                                                            an@nn.se
                                                                                
- 
                            Vesterdal,
                            Forest & Landscape Denmark, University of Copenhagen, Denmark
                                                        E-mail:
                                                            lv@nn.dk
                                                                                
 
         
     
 
            
        
            
            article id 287,
                            category
                        Special section
                    
        
        
                            Mikko Peltoniemi,
                            Juha Heikkinen,
                            Raisa Mäkipää.
                    
                    
                (2007).
            
                            
                                    Stratification of regional sampling by model-predicted changes of carbon stocks in forested mineral soils.
                            
                            
                Silva Fennica
                                                            vol.
                                        41
                                                                            no.
                                        3
                                article id 287.
            
                            
                https://doi.org/10.14214/sf.287
            
             
        
                                    
                                    
                            Abstract |
                        
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                            Monitoring changes in soil C has recently received interest due to  reporting under the Kyoto Protocol. Model-based approaches to estimate  changes in soil C stocks exist, but they cannot fully replace repeated  measurements. Measuring changes in soil C is laborious due to small  expected changes and large spatial variation. Stratification of soil  sampling allows the reduction of sample size without reducing precision.  If there are no previous measurements, the stratification can be made  with model-predictions of target variable. Our aim was to present a  simulation-based stratification method, and to estimate how much  stratification of inventory plots could improve the efficiency of the  sampling. The effect of large uncertainties related to soil C change  measurements and simulated predictions was targeted since they may  considerably decrease the efficiency of stratification. According to our  simulations, stratification can be useful with a feasible soil sample  number if other uncertainties (simulated predictions and forecasted  forest management) can be controlled. For example, the optimal (Neyman)  allocation of plots to 4 strata with 10 soil samples from each plot  (unpaired repeated sampling) reduced the standard error (SE) of the  stratified mean by 9–34% from that of simple random sampling, depending  on the assumptions of uncertainties. When the uncertainties of  measurements and simulations were not accounted for in the division to  strata, the decreases of SEs were 2–9 units less. Stratified sampling  scheme that accounts for the uncertainties in measured material and in  the correlates (simulated predictions) is recommended for the sampling  design of soil C stock changes.
                        
                
                                            - 
                            Peltoniemi,
                            Finnish Forest Research Institute, Vantaa Research Unit, P.O. Box 18, FI-01301 Vantaa, Finland
                                                        E-mail:
                                                            mikko.peltoniemi@metla.fi
                                                                                          
- 
                            Heikkinen,
                            Finnish Forest Research Institute, Vantaa Research Unit, P.O. Box 18, FI-01301 Vantaa, Finland
                                                        E-mail:
                                                            jh@nn.fi
                                                                                
- 
                            Mäkipää,
                            Finnish Forest Research Institute, Vantaa Research Unit, P.O. Box 18, FI-01301 Vantaa, Finland
                                                        E-mail:
                                                            raisa.makipaa@metla.fi
                                                                                
 
         
     
 
                        
                
                
                                            Category :
                    
                    Research article
                                    
                            
                    
        
            
            article id 469,
                            category
                        Research article
                    
        
        
                            Henri Vanhanen,
                            Timo O. Veteli,
                            Sonja Päivinen,
                            Seppo Kellomäki,
                            Pekka Niemelä.
                    
                    
                (2007).
            
                            
                                    Climate change and range shifts in two insect defoliators: gypsy moth and nun moth – a model study.
                            
                            
                Silva Fennica
                                                            vol.
                                        41
                                                                            no.
                                        4
                                article id 469.
            
                            
                https://doi.org/10.14214/sf.469
            
             
        
                                    
                                    
                            Abstract |
                        
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                            Environmental factors influenced by global climate change determine the  distribution ranges of organisms. Especially ectothermic animals are  expected to shift their distribution ranges northwards in the next  hundred years or so. In this study simulations made with  CLIMEX-modelling software were used to predict the future distribution  ranges of two Central European serious forest pest species: the nun moth  (Lymantria monacha L. (Lepidoptera: Lymantriidae)) and the gypsy moth  (L. dispar L). The software calculates an ecoclimatic index based on the  life cycle requirements of a species and thus represents the  probability of a viable population to exist at a certain location. Three  different climate warming scenarios were considered: temperature  increase of 1.4, 3.6 and 5.8°C. Simulations generated with the current  climate conditions corresponded well to the current distributions of the  species. The climate warming scenarios shifted the northern boundary of  the distribution for both of these species north by c. a. 500–700 km.  Also the southern edge of the ranges retracted northwards by 100–900 km.  The results of this study are in agreement with the results of  empirical studies on other species. Being serious pest species, these  species pose a potential threat to silviculture and therefore, have to  be considered in the planning of forest management practices.
                        
                
                                            - 
                            Vanhanen,
                            Faculty of Forestry, University of Joensuu, P.O.B. 111, FI-80101 Joensuu, Finland
                                                        E-mail:
                                                            hv@nn.fi
                                                                                
- 
                            Veteli,
                            Faculty of Biosciences, University of Joensuu, P.O.B. 111, FI-80101, Joensuu, Finland
                                                        E-mail:
                                                            timo.veteli@joensuu.fi
                                                                                          
- 
                            Päivinen,
                            Faculty of Forestry, University of Joensuu, P.O.B. 111, FI-80101 Joensuu, Finland
                                                        E-mail:
                                                            sp@nn.fi
                                                                                
- 
                            Kellomäki,
                            Faculty of Forestry, University of Joensuu, P.O.B. 111, FI-80101 Joensuu, Finland
                                                        E-mail:
                                                            sk@nn.fi
                                                                                
- 
                            Niemelä,
                            Faculty of Forestry, University of Joensuu, P.O.B. 111, FI-80101 Joensuu, Finland
                                                        E-mail:
                                                            pn@nn.fi
                                                                                
 
         
     
 
            
        
            
            article id 279,
                            category
                        Research article
                    
        
        
                            Gerben Janse.
                    
                    
                (2007).
            
                            
                                    Characteristics and challenges of forest sector communication in the EU.
                            
                            
                Silva Fennica
                                                            vol.
                                        41
                                                                            no.
                                        4
                                article id 279.
            
                            
                https://doi.org/10.14214/sf.279
            
             
        
                                    
                                    
                            Abstract |
                        
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                            Fragmentation of forest policy at the EU level and image problems of the  forest industry have increased forest sector actors’ interest for  cooperation on and coordination of communication activities. Although  internal communication in the forest sector at the European level is  generally well developed both formally and informally, the desired  strengthening of communication with other sectors and the public at  large is perceived as difficult. In this pre-study 39 interviews were  conducted with EU and UNECE/FAO officials, EU level Forest-based  Industries and forestry sector federation representatives, and forest  scientists working at the European level. The results indicate that EU  level forest sector core actors’ ideas on communication differ. Ideas  range from strictly image improvement; being more successful at lobbying  with other sectors and high-level policy-makers; up to building  long-lasting relations and two-way communication processes with other  sectors. This makes it difficult to come to coordinated action among  forest sector actors. A more active exchange of information on best  practices in forest communication between national as well as European  level actors, and increased coordination of communication efforts is  desired by industry, forest owners as well as policy-makers. However,  clear ideas on how to improve, especially inter-sectoral, communication  are largely lacking.
                        
                
                                            - 
                            Janse,
                            European Forest Institute, Joensuu, Finland
                                                        E-mail:
                                                            gerben.janse@efi.int
                                                                                          
 
         
     
 
            
        
            
            article id 278,
                            category
                        Research article
                    
        
        
                            Katri Luostarinen.
                    
                    
                (2007).
            
                            
                                    The effect of annual ring orientation and drying method on deformations, casehardening and colour of silver birch (Betula pendula) boards.
                            
                            
                Silva Fennica
                                                            vol.
                                        41
                                                                            no.
                                        4
                                article id 278.
            
                            
                https://doi.org/10.14214/sf.278
            
             
        
                                    
                                    
                            Abstract |
                        
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                            Deformations of timber, caused mainly by anisotropic shrinkage, can be  partially directed by controlling annual ring orientation through  different sawing patterns. Ring orientation also affects the movement of  water from within the board to its surface, with rapidity of drying  having implications for the wood colour. Here sawn silver birch (Betula  pendula Roth) timber was classed into two groups according to ring  orientation. Two drying methods were used. The final moisture content  was lower and the colour lighter in dried boards with radial than with  tangential flats, but deformations were larger in radial than in  tangential boards. Both drying and ring orientation affected the final  moisture content and moisture gradient of the boards. Very small  differences in board sizes or shape had an effect on both colour and  deformations. The results support the need for accurate sawing and for  classing silver birch timber sawn into parquet billets according to ring  orientation in order to optimise the drying quality.
                        
                
                                            - 
                            Luostarinen,
                            University of Joensuu, Faculty of Forest Sciences, P.O. Box 111, FI-80101 Joensuu, Finland
                                                        E-mail:
                                                            katri.luostarinen@joensuu.fi
                                                                                          
 
         
     
 
            
        
            
            article id 277,
                            category
                        Research article
                    
        
        
                            Laura Koskela,
                            Bikas K. Sinha,
                            Tapio Nummi.
                    
                    
                (2007).
            
                            
                                    Some aspects of the sampling distribution of the Apportionment Index and related inference.
                            
                            
                Silva Fennica
                                                            vol.
                                        41
                                                                            no.
                                        4
                                article id 277.
            
                            
                https://doi.org/10.14214/sf.277
            
             
        
                                    
                                    
                            Abstract |
                        
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                            As customer-oriented production strategies have gained ground in the  sawmill industry, proper measurement of the fit between the log demand  and log output distributions has become of crucial importance. The  prevailing means of measuring the outcome is the so-called Apportionment  Index (AI), which is calculated from the relative proportions of the  observed and required distributions. Although some statistical  properties of the AI have recently been examined and alternative means  of measuring the bucking outcome have been suggested, properties of the  sampling distribution of the AI have not yet been widely studied. In  this article we examine the asymptotic sampling distribution for the AI  by assuming a multinomial distribution for the outcome. Our results are  based mainly on large-sample normal approximations. Also some studies of  the determination of the number of logs needed to obtain a specified  level of accuracy of the AI have been carried out.
                        
                
                                            - 
                            Koskela,
                            University of Tampere, Dept of Mathematics, Statistics and Philosophy, FI-33014 University of Tampere, Finland
                                                        E-mail:
                                                            laura.koskela@uta.fi
                                                                                          
- 
                            Sinha,
                            Indian Statistical Institute, Kolkata, India
                                                        E-mail:
                                                            bks@nn.in
                                                                                
- 
                            Nummi,
                            University of Tampere, Dept of Mathematics, Statistics and Philosophy, FI-33014 University of Tampere, Finland
                                                        E-mail:
                                                            tn@nn.fi
                                                                                
 
         
     
 
            
        
            
            article id 276,
                            category
                        Research article
                    
        
        
                            Jianping Zhu,
                            Pete Bettinger,
                            Rongxia Li.
                    
                    
                (2007).
            
                            
                                    Additional insight into the performance of a new heuristic for solving spatially constrained forest planning problems.
                            
                            
                Silva Fennica
                                                            vol.
                                        41
                                                                            no.
                                        4
                                article id 276.
            
                            
                https://doi.org/10.14214/sf.276