Modelling effects of regeneration method on the growth and profitability of Scots pine stands

Lula, Mikolaj; Trubins, Renats; Ekö, Per Magnus; Johansson, Ulf; Nilsson, Urban

doi:10.1080/02827581.2021.1908591

Cited by 5 publications

(4 citation statements)

References 25 publications

(36 reference statements)

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“…As the core of the system concerns the development of the tree layer, it has frequently been used for examining the effect of different management systems or silvicultural actions on timber production. Examples include assessments of continuous cover versus clearcut forestry (Nordström et al, 2013;Lundmark et al, 2016), regeneration efforts (Lula et al, 2021;Jonsson et al, 2022) and pre-commercial thinning (Fahlvik et al, 2015(Fahlvik et al, , 2017Holmström et al, 2016). As above and below ground biomass is calculated in the system, several studies have assessed bioenergy potentials (Snäll et al, 2017;Eggers et al, 2020a), carbon sequestration as well as the combination of these two aspects (Cintas et al, 2017).…”

Section: Application Within Researchmentioning

confidence: 99%

The multi-faceted Swedish Heureka forest decision support system: context, functionality, design, and 10 years experiences of its use

Lämås

Sängstuvall

Öhman

et al. 2023

Front. For. Glob. Change

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For several decades, computerized forest decision support systems (DSS) have helped managers and decision makers to analyze different management options and supported the search for preferred management alternatives. In Sweden, a country rich in forests and with a long tradition in intensive forest management, such systems have been developed and available since the 1970s. Changes in societal as well as in forest owners’ preferences and objectives in the 1990s led to a need for forest DSS handling broader perspectives compared to precedent single-objective timber-oriented systems. In Sweden, this led to the initiation of a research programme in the beginning of the 2000s aiming at developing a versatile and multi-objective forest DSS, resulting in the first version of the Heureka forest DSS released in 2009. The system handles several forest values, such as timber and biofuel production, carbon sequestration, dead wood dynamics, habitat for species, recreation and susceptibility to forest damages (spruce bark beetle, wind-throw and root rot). It contains a suite of software for different problem settings and geographical scales and uses simulation as well as optimization techniques. Three software handle projections of the forest using a common core of growth and yield models for simulating forest dynamics. A fourth software, built for multi-criteria decision analysis and including a web-version, enables also group decision making and participatory planning. For more than 10 years, the Heureka system has been used in teaching, environmental analysis, research and as decision support in practical forestry. For example, several research groups using the system for analyses in different problem areas have so far published more than 80 scientific papers. The system is used for nation-wide forest impact analysis for policy support and all large and many medium-sized forest owners use it for their long-term forest planning, meaning that it directly influences forest management decisions and activities on more than 50% of the Swedish forest area. Besides presenting the present system and its use, we also discuss lessons learned and potential future development.

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Section: Application Within Researchmentioning

confidence: 99%

The multi-faceted Swedish Heureka forest decision support system: context, functionality, design, and 10 years experiences of its use

Lämås

Sängstuvall

Öhman

et al. 2023

Front. For. Glob. Change

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“…www.forest-journal.com Lula et al (2021) analyzed the profitability of Scots pine stands in southern Sweden and found that highdensity planting (10,000 seedlings per hectare) resulted in a negative LEV, while planting on clear-cuts with 1,600 -3,265 seedlings per hectare resulted in the highest profitability and production. The negative LEV for high-density planting confirms our results.…”

Section: Wwwforest-journalcommentioning

confidence: 99%

The profitability of artificial and natural regeneration: A forest investment comparison of Poland and the U.S. South

Chudy,

Cubbage,

Siry

et al. 2023

J.For.Bus.Res.

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The historical development of silviculture has been closely related to an increasing need for timber, which resulted in more planted forests and artificial regeneration over time. The idea of natural regeneration through shelterwood cutting was often not accepted by forest owners as a management practice because of inadequate financial returns and less certain outcomes. Despite the evolving dominance of planted forests, questions remain if the lower costs of natural regeneration may still provide sufficient profitability of forest investments. In this paper, the profitability of planted versus natural forest management in Poland and the U.S. South was examined. A discounted cash flow model was developed to evaluate the profitability of artificial and natural regeneration in hypothetical Scots and loblolly pine stands in Poland and the U.S. South, respectively, and hardwood stands (dominated by oak spp.) in both countries. The results have shown that for both countries and species, natural regeneration regimes produce higher internal rates of return (IRR), largely due to less expensive establishment costs. The largest difference in returns is observed for hardwood in the US South (97 basis points, bps, or almost 1 percentage point), followed by pine in the US South (84 bps) and pine and hardwood in Poland (both ca. 70 bps). Southern pines in the U.S. South may have larger net present values (NPV) at moderate discount rates, as well as provide more certain wood production outcomes, which have contributed to their pervasive adoption. We conclude that natural stand forest management, in addition to better rates of return, may bring other non-financial benefits (e.g., genetic diversity, resilience), which may support forest owners and the environment, especially under changing climate conditions. Nevertheless, the regeneration method and its feasibility and profitability should be carefully considered on a case-by-case basis for each forest investment.

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“…Biological (ecophysiological, genetic, etc. )-study of the ontogenesis of seedlings, the influence of external factors on young forest stands, biomass accumulation [11,[63][64][65][66][67][68][69], and patterns between phenotypic and genetic variations of forest trees [70]; 3.…”

Section: Interpretation An Flr Algorithmmentioning

confidence: 99%

The Choice of a Set of Operations for Forest Landscape Restoration Technology

Novikova

2021

Inventions

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The study is intended for forest farmers who need to make a mathematically sound and objective decision on the choice of technological operations and technical means for forest restoration. Currently, in studies implementing the forest landscapes restoration approach from the point of view of technology and the use of technical devices (FLR technology), there is some discreteness and fragmentation of the issues. There is a need for a comprehensive study of FLR technology using frontier techniques and devices, and the construction of a single technological FLR algorithm. Preliminary analysis indicates a sharp increase in the number of operational sets from nine for the implementation of the classical technological FLR algorithm to 268 in the first approximation when implementing the proposed algorithm. The FLR algorithm construction is based on the algorithm’s theory, and the verification of the similarity degree of operational sets is based on the cluster analysis by Ward and intra-group connections methods. The algorithm decomposition into six conditionally similar clusters will help plan new forest experiments taking into account interdisciplinary interaction, in addition to the modernization of plant propagation protocols for sustainable reforestation quality management. However, some questions remain for the future: which criterion should be used as a universal basis for choosing operational sets? How can the effectiveness of the FLR technology procedure be evaluated and predicted before its practical implementation?

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Modelling effects of regeneration method on the growth and profitability of Scots pine stands

Cited by 5 publications

References 25 publications

The multi-faceted Swedish Heureka forest decision support system: context, functionality, design, and 10 years experiences of its use

The multi-faceted Swedish Heureka forest decision support system: context, functionality, design, and 10 years experiences of its use

The profitability of artificial and natural regeneration: A forest investment comparison of Poland and the U.S. South

The Choice of a Set of Operations for Forest Landscape Restoration Technology

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