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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]