2011
DOI: 10.5424/fs/20112003-11073
|View full text |Cite
|
Sign up to set email alerts
|

Management of mixed oak-pine forests under climate

Abstract: The process-based forest growth model 4C (FORESEE -FORESt Ecosystems in a Changing Environment) was used to analyze the growth of a mixed oak-pine stand [Quercus petraea (Mattuschka) Liebl., Pinus sylvestris L.]. The oak-pine stand is typical for the ongoing forest transformation in the north-eastern lowlands. The pine and the oak trees are 104 and 9 years old, respectively. Three different management scenarios (A, B, C) with different thinning grades and a thinning interval of five years were simulated. Every… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
4
0

Year Published

2013
2013
2020
2020

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 11 publications
(4 citation statements)
references
References 23 publications
0
4
0
Order By: Relevance
“…While in the short-term, an omission of climate effects may be acceptable because, in most cases, forest management strategies imply stronger impacts on the carbon balance of a forest than climate change, in the longer-term, this assumption of stationary conditions does not hold (Jandl et al 2007;Gutsch et al 2011). Therefore, for more comprehensive analyses, SRM can be coupled to forest growth models that are not climate sensitive and thus far have relied on simple scaling of growth functions to capture climate change effects (e.g.…”
Section: Applicability Of the Srmsmentioning
confidence: 99%
“…While in the short-term, an omission of climate effects may be acceptable because, in most cases, forest management strategies imply stronger impacts on the carbon balance of a forest than climate change, in the longer-term, this assumption of stationary conditions does not hold (Jandl et al 2007;Gutsch et al 2011). Therefore, for more comprehensive analyses, SRM can be coupled to forest growth models that are not climate sensitive and thus far have relied on simple scaling of growth functions to capture climate change effects (e.g.…”
Section: Applicability Of the Srmsmentioning
confidence: 99%
“…This future management corresponds best to "intensive evenaged forestry" as defined by Duncker et al 2012. Pukkala et al 1998;Fürstenau et al 2007;González et al 2005;Lasch et al 2005 Picea abies below 30 15 120 Pape 1999;Pukkala et al 1998;Hanewinkel and Pretzsch 2000;Sterba 1987;Lähde et al 2010 Fagus Hein and Dhôte 2006;Fürstenau et al 2007;Štefančík 2012;Kerr 1996;Gutsch et al 2011 Pinus pinaster below 20 10 45 Loustau et al 2005, De Lary 2015, Banos et al 2016 https://doi.org/10.5194/essd-2019-220…”
Section: Forest Management Of the Sitesmentioning
confidence: 99%
“…(Gutsch et al 2011;Reyer et al 2013). For climate projections, impact models are typically driven by RCMs, which in turn downscale GCM data (Stocker et al 2013).…”
Section: Regional Climate Modelingmentioning
confidence: 99%