Site carrying capacity of Norway spruce and Scots pine stands has increased in Germany and northern Europe

Mäkinen, Harri; Henttonen, Helena M.; Kohnle, Ulrich; Kuehne, Christian; Nöjd, Pekka; Yue, Chaofang; Klädtke, Joachim; Siipilehto, Jouni

doi:10.1016/j.foreco.2021.119214

Cited by 11 publications

(1 citation statement)

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“…Moreover, it is widely accepted that climatic conditions, and therefore growing conditions have dramatically changed over the last 40 years across much of the planet (Hanssen-Bauer et al 2017). In Scandinavia this has generally resulted in increased growth rates (Sharma et al 2012;Mäkinen et al 2021;Mensah et al 2021) and it is possible that the height to volume relationship, one of the fundamental dendrometric principles of growth and yield of even-aged stands (Skovsgard and Vanclay 2008) might have changed accordingly.…”

Section: Introductionmentioning

confidence: 99%

A stand-level growth and yield model for thinned and unthinned even-aged Scots pine forests in Norway

Kuehne¹,

McLean²,

Maleki³

et al. 2022

Silva Fenn.

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Management of Scots pine ( L.) in Norway requires a forest growth and yield model suitable for describing stand dynamics of even-aged forests under contemporary climatic conditions with and without the effects of silvicultural thinning. A system of equations forming such a stand-level growth and yield model fitted to long-term experimental data is presented here. The growth and yield model consists of component equations for (i) dominant height, (ii) stem density (number of stems per hectare), (iii) total basal area, (iv) and total stem volume fitted simultaneously using seemingly unrelated regression. The component equations for stem density, basal area, and volume include a thinning modifier to forecast stand dynamics in thinned stands. It was shown that thinning significantly increased basal area and volume growth while reducing competition related mortality. No significant effect of thinning was found on dominant height. Model examination by means of various fit statistics indicated no obvious bias and improvement in prediction accuracy in comparison to existing models in general. An application of the developed stand-level model comparing different management scenarios exhibited plausible long-term behavior and we propose this is therefore suitable for national deployment.Pinus sylvestris

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Section: Introductionmentioning

confidence: 99%