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
Abstract |
View details
|
Full text in PDF |
Author Info
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
Abstract |
View details
|
Full text in PDF |
Author Info
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
Abstract |
View details
|
Full text in PDF |
Author Info
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 |
View details
|
Full text in PDF |
Author Info
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 |
View details
|
Full text in PDF |
Author Info
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 |
View details
|
Full text in PDF |
Author Info
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 |
View details
|
Full text in PDF |
Author Info
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 |
View details
|
Full text in PDF |
Author Info
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 |
View details
|
Full text in PDF |
Author Info
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