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* Ihre Aktion  suchen [und] ([PPN] Pica-Produktionsnummer) 871695782
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871695782 Über den Zitierlink können Sie diesen Titel als Lesezeichen ablegen oder weiterleiten
Titel: 
Person/en: 
Körperschaft/en: 
Sprache/n: 
Englisch
Veröffentlichungsangabe: 
Potsdam, 2015
Umfang: 
vii, 148 Seiten : Illustrationen, Diagramme
Art des Inhalts: 
Bibliogr. Zusammenhang: 
Erscheint auch als (Online-Ausgabe): Gutsch, Martin. Model-based analysis of climate change impacts on the productivity of oak-pine forests in Brandenburg. - Potsdam, 2016. - 1 Online-Ressource (vii, 148 Seiten) : Illustrationen, Diagramme
Hochschulschrift: 
Dissertation, Universität Potsdam, 2015
Schlagwörter: 
Sachgebiete: 
Inhalt: 
The relationship between climate and forest productivity is an intensively studied subject in forest science. This Thesis is embedded within the general framework of future forest growth under climate change and its implications for the ongoing forest conversion. My objective is to investigate the future forest productivity at different spatial scales (from a single specific forest stand to aggregated information across Germany) with focus on oak-pine forests in the federal state of Brandenburg. The overarching question is: how are the oak-pine forests affected by climate change described by a variety of climate scenarios. I answer this question by using a model based analysis of tree growth processes and responses to different climate scenarios with emphasis on drought events. In addition, a method is developed which considers climate change uncertainty of forest management planning. As a first 'screening' of climate change impacts on forest productivity, I calculated the change in net primary production on the base of a large set of climate scenarios for different tree species and the total area of Germany. Temperature increases up to 3 K lead to positive effects on the net primary production of all selected tree species. But, in water-limited regions this positive net primary production trend is dependent on the length of drought periods which results in a larger uncertainty regarding future forest productivity. One of the regions with the highest uncertainty of net primary production development is the federal state of Brandenburg.
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Standort: 
Signatur: 
02 B .007987
 
Standort: 
Signatur: 
RG 45447 GUT
 
 
 
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