Models for predicting individual tree height increment and tree diameter in young stands in southern Sweden

Fahlvik, Nils; Nyström, Kenneth

doi:10.1080/14004080500487292

Cited by 21 publications

(31 citation statements)

References 10 publications

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“…After five years, during the period 1981-1984, the plots were measured again. Previously, Fahlvik and Nyström (2006) had developed tree height increment models for southern Sweden, using a subsample of plots situated south of latitude 60°N. In the present study, individual tree data from Scots pine and Norway spruce dominated plots (i.e.…”

Section: Height Growth Modelsmentioning

confidence: 99%

“…Descriptive statistics of plot and tree data at the first measurement are provided in Table 1 and 2. Except for selection of the calibration data set from the HUGIN young stand survey, the processing of data and the statistical methods were similar to those used by Fahlvik and Nyström (2006).…”

Section: Height Growth Modelsmentioning

confidence: 99%

“…Like the height growth models for southern Sweden produced by Fahlvik and Nyström (2006), initial height was the most important variable Distance-independent competition index, sum of the height square (Σh 2 ) ×0.1 of all trees taller than the subject tree in the plot (100 m 2 ). Newcl Indicator variable for pre-commercially thinned plots.…”

Section: Height Growth Modelsmentioning

confidence: 99%

“…For Norway spruce and Scots pine, the predictors were initial height (m), mean height, total age, distanceindependent competition index (sum of the height square (Σh 2 ) ×0.1 of all trees taller than the subject tree in the 100 m 2 plot), site index according to site properties such as altitude, latitude, soil moisture, field vegetation, water flow, etcetera (Hägglund and Lundmark 1977) and/or combination of these based on experience from the study by Fahlvik and Nyström (2006). For Norway spruce, two indicator variables were also included describing whether the plot was established by planting and whether the plot had been pre-commercially thinned during the previous 10 years.…”

Section: Height Growth Modelsmentioning

confidence: 99%

“…Elfving 1982;Söderberg 1986;Fahlvik and Nyström 2006) are based on data from sample plots in largely unimproved stands, and the effect of genetic improvements is not explicitly taken into consideration. For instance, the height increment model by Fahlvik and Nyström (2006), predicts the 5-year height increment for young stands in southern Sweden by using initial height, total age, site index and temperature sum as explanatory variables. These variables may not be sensitive enough to predict the development of genetically improved material reliably.…”

Section: Introductionmentioning

confidence: 99%

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Modeling early height growth in trials of genetically improved Norway spruce and Scots pine in southern Sweden

Egbäck¹,

Nilsson²,

Nyström³

et al. 2017

Silva Fenn.

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Highlights• The developed height growth model based on unimproved material predicted the development relatively well for genetically improved Norway spruce.• For genetically improved Scots pine, however, the model needed to be modified.• By incorporating a genetic component into the Scots pine model, the prediction errors were reduced. AbstractGenetically improved Norway spruce (Picea abies (L.) Karst.) and Scots pine (Pinus sylvestris L.) are used extensively in operational Swedish forestry plantations to increase production. Depending on the genetic status of the plant material, the current estimated genetic gain in growth is in the range 10-20% for these species and this is expected to increase further in the near future. However, growth models derived solely from data relating to genetically improved material in Sweden are still lacking. In this study we investigated whether an individual tree growth model based on data from unimproved material could be used to predict the height increment in young trials of genetically improved Norway spruce and Scots pine. Data from 11 genetic experiments with large genetic variation, ranging from offspring of plus-trees selected in the late 1940s to highly improved clonal materials selected from well performing provenances were used. The data set included initial heights at the age of 7-15 years and 5-year increments for almost 2000 genetic entries and more than 20 000 trees. The evaluation indicated that the model based on unimproved trees predicted height development relatively well for genetically improved Norway spruce and there was no need to incorporate a genetic component. However, for Scots pine, the model needed to be modified. A genetic component was developed based on the genetic difference recorded within each trial, using mixed linear models and methods from quantitative genetics. By incorporating the genetic component, the prediction errors were significantly reduced for Scots pine. This study provides the first step to incorporate genetic gains into Swedish growth models and forest management planning systems.

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Section: Height Growth Modelsmentioning

confidence: 99%

Section: Height Growth Modelsmentioning

confidence: 99%

Section: Height Growth Modelsmentioning

confidence: 99%

Section: Height Growth Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling early height growth in trials of genetically improved Norway spruce and Scots pine in southern Sweden

Egbäck¹,

Nilsson²,

Nyström³

et al. 2017

Silva Fenn.

Self Cite

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Time-dependent radiative forcing effects of forest fertilization and biomass substitution

Sathre

Gustavsson

2011

Biogeochemistry

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Here we analyse the radiative forcing implications of forest fertilization and biomass substitution, with explicit consideration of the temporal patterns of greenhouse gas (GHG) emissions to and removals from the atmosphere (net emissions). We model and compare the production and use of biomass from a hectare of fertilized and non-fertilized forest land in northern Sweden. We calculate the annual net emissions of CO 2 , N 2 O and CH 4 for each system, over a 225-year period with 1-year time steps. We calculate the annual atmospheric concentration decay of each of these emissions, and calculate the resulting annual changes in instantaneous and cumulative radiative forcing. We find that forest fertilization can significantly increase biomass production, which increases the potential for material and energy substitution. The average carbon stock in tree biomass, forest soils and wood products all increase when fertilization is used. The additional GHG emissions due to fertilizer production and application are small compared to increases in substitution benefits and carbon stock. The radiative forcing of the 2 stands is identical for the first 15 years, followed by 2 years during which the fertilized stand produces slightly more radiative forcing. After year 18 the instantaneous and cumulative radiative forcing are consistently lower for the fertilized forest system. Both stands result in longterm negative radiative forcing, or cooling of the earth system. By the end of the 225-year simulation period, the cumulative radiative forcing reduction of the fertilized stand is over twice that of the nonfertilized stand. This suggests that forest fertilization and biomass substitution are effective options for climate change mitigation, as climate change is a long term issue.

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Adapted forest management to improve the potential for reindeer husbandry in Northern Sweden

Eggers

Roos

Lind

et al. 2023

Ambio

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In northern Sweden, improvements of grazing conditions are necessary for the continuation of traditional, natural pasture-based reindeer husbandry. Ground and tree lichen constitute the main fodder resource for reindeer during winter but have reached critically low levels. Using a forest decision support system, we prescribe adapted forest management to improve the preconditions for reindeer husbandry and compare outcomes with the continuation of current forest management. We found that adapted management increases the forest area with ground lichen habitat by 22% already within 15 years, while a continuation of current management would result in a further decrease in ground lichen. Tree lichen habitat can be retained and increased in all scenarios, which is important in a changing climate. Compared to a continuation of current practices, adapted management with significantly improved conditions for lichen resulted in a decrease in net revenues from wood production by 11–22%.

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Models for predicting individual tree height increment and tree diameter in young stands in southern Sweden

Cited by 21 publications

References 10 publications

Modeling early height growth in trials of genetically improved Norway spruce and Scots pine in southern Sweden

Modeling early height growth in trials of genetically improved Norway spruce and Scots pine in southern Sweden

Time-dependent radiative forcing effects of forest fertilization and biomass substitution

Adapted forest management to improve the potential for reindeer husbandry in Northern Sweden

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