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Realizing mitigation efficiency of European commercial forests by climate smart forestry / Rasoul Yousefpour in Scientific reports, vol 8 (2018)

Public [article]  inScientific reports > vol 8 (2018) Titre : Realizing mitigation efficiency of European commercial forests by climate smart forestry Type de document : Article/Communication Auteurs : Rasoul Yousefpour, Auteur ; Andrey Lessa Derci Augustynczik, Auteur ; Christopher P.O. Reyer, Auteur ; Petra Lasch-Born, Auteur ; Felicitas Suckow, Auteur ; Marc Hanewinkel, Auteur Année de publication : 2018 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] changement climatique [Termes IGN] croissance des arbres [Termes IGN] Europe (géographie politique) [Termes IGN] foresterie [Termes IGN] forêt boréale [Termes IGN] forêt tempérée [Termes IGN] Picea abies [Termes IGN] Pinus sylvestris [Termes IGN] puits de carbone [Termes IGN] ressources forestières [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) European temperate and boreal forests sequester up to 12% of Europe’s annual carbon emissions. Forest carbon density can be manipulated through management to maximize its climate mitigation potential, and fast-growing tree species may contribute the most to Climate Smart Forestry (CSF) compared to slow-growing hardwoods. This type of CSF takes into account not only forest resource potentials in sequestering carbon, but also the economic impact of regional forest products and discounts both variables over time. We used the process-based forest model 4 C to simulate European commercial forests’ growth conditions and coupled it with an optimization algorithm to simulate the implementation of CSF for 18 European countries encompassing 68.3 million ha of forest (42.4% of total EU-28 forest area). We found a European CSF policy that could sequester 7.3–11.1 billion tons of carbon, projected to be worth 103 to 141 billion euros in the 21st century. An efficient CSF policy would allocate carbon sequestration to European countries with a lower wood price, lower labor costs, high harvest costs, or a mixture thereof to increase its economic efficiency. This policy prioritized the allocation of mitigation efforts to northern, eastern and central European countries and favored fast growing conifers Picea abies and Pinus sylvestris to broadleaves Fagus sylvatica and Quercus species. Numéro de notice : A2018-010 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=89003 [article]

Evaluating the productivity of four main tree species in Germany under climate change with static reduced models / Martin Gutsch in Annals of Forest Science, vol 73 n° 2 (June 2016)  

Public [article]  inAnnals of Forest Science > vol 73 n° 2 (June 2016) . - pp 401- 410 Titre : Evaluating the productivity of four main tree species in Germany under climate change with static reduced models Type de document : Article/Communication Auteurs : Martin Gutsch, Auteur ; Petra Lasch-Born, Auteur ; Felicitas Suckow, Auteur ; Christopher P.O. Reyer, Auteur Année de publication : 2016 Article en page(s) : pp 401- 410 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes IGN] Allemagne [Termes IGN] analyse diachronique [Termes IGN] climat [Termes IGN] étude d'impact [Termes IGN] production agricole végétale [Termes IGN] régression [Termes IGN] sylviculture Résumé : (auteur) Key message: We present simple models of forest net primary production (NPP) in Germany that show increasing productivity, especially in mountainous areas, under warming unless water becomes a limiting factor. They can be used for spatially explicit, rapid climate impact assessment. Context: Climate impact studies largely rely on process-based forest models generally requiring detailed input data which are not everywhere available. Aims: This study aims to derive simple models with low data requirements which allow calculation of NPP and analysis of climate impacts using many climate scenarios at a large amount of sites. Methods: We fitted regression functions to the output of simulation experiments conducted with the process-based forest model 4C at 2342 climate stations in Germany for four main tree species on four different soil types and two time periods, 1951–2006 and 2031–2060. Results: The regression functions showed a reasonable fit to measured NPP datasets. Temperature increase of up to 3 K leads to positive effects on NPP. In water-limited regions, this positive effect is dependent on the length of drought periods. The highest NPP increase occurs in mountainous regions. Conclusion: Rapid analyses, using reduced models as presented here, can complement more detailed analyses with process-based models. Especially for dry sites, we recommend further study of climate impacts with process-based models or detailed measurements Numéro de notice : A2016-353 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-015-0532-3 Date de publication en ligne : 02/12/2015 En ligne : https://doi.org/10.1007/s13595-015-0532-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81064 [article]