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Can mixing Quercus robur and Quercus petraea with Pinus sylvestris compensate for productivity losses due to climate change?
Vospernik, Sonja; Vigren, Carl; Morin, Xavier; Toïgo, Maude; Bielak, Kamil; Brazaitis, Gediminas; Bravo, Felipe; Heym, Michael; Del Río, Miren; Jansons, Aris; Löf, Magnus; Nothdurft, Arne; Pardos, Marta; Pach, Maciej; Ponette, Quentin; Pretzsch, Hans.
Afiliação
  • Vospernik S; Department of Forest- and Soil Sciences, Institute of Forest Growth, BOKU, University of Natural Resources and Life Sciences Vienna, Peter-Jordan-Str. 82, A-1190 Vienna, Austria. Electronic address: Sonja.Vospernik@boku.ac.at.
  • Vigren C; Department of Forest Resource Management, Swedish University of Agricultural Sciences, Skogsmarksgränd 17, 907 36 Umeå, Sweden.
  • Morin X; Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175 CNRS, Univ. Montpellier, EPHE, IRD, 1919 route de Mende, 34293 Montpellier Cedex 5, France.
  • Toïgo M; Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175 CNRS, Univ. Montpellier, EPHE, IRD, 1919 route de Mende, 34293 Montpellier Cedex 5, France.
  • Bielak K; Department of Silviculture, Institute of Forest Sciences, Warsaw University of Life Sciences, Nowoursynowska 159/34, 02776 Warsaw, Poland.
  • Brazaitis G; Vytautas Magnus University, Department of Forest Science, Studentu 11, Akademija LT-53361, Kaunas dist, Lithuania.
  • Bravo F; Instituto de Investigación en Gestión Forestal Sostenible (iuFOR), Unidad Asociada de I+D+i al CSIC, ETS de Ingenierías Agrarias, Universidad de Valladolid, Avda. De Madrid 44, 34004 Palencia, Spain.
  • Heym M; Bavarian State Institute of Forestry (LWF), Department Silviculture and Mountain Forest, Germany.
  • Del Río M; Instituto de Ciencias Forestales (ICIFOR- INIA), CSIC, Ctra. A Coruña km 7.5, 28040 Madrid, Spain.
  • Jansons A; Latvian State Forest Research Institute Silava, Rigas 111, Salaspils. Latvia.
  • Löf M; Swedish University of Agricultural Sciences, Southern Swedish Forest Research Centre, Box 190, 23422 Lomma, Sweden.
  • Nothdurft A; Department of Forest- and Soil Sciences, Institute of Forest Growth, BOKU, University of Natural Resources and Life Sciences Vienna, Peter-Jordan-Str. 82, A-1190 Vienna, Austria.
  • Pardos M; Instituto de Ciencias Forestales (ICIFOR- INIA), CSIC, Ctra. A Coruña km 7.5, 28040 Madrid, Spain.
  • Pach M; Department of Ecology and Silviculture, Faculty of Forestry, University of Agriculture in Krakow, al. 29-Listopada, 46 31-425 Kraków, Poland.
  • Ponette Q; UCLouvain - Université catholique de Louvain, Earth & Life Institute, Croix du Sud 2 box L7.05.09, 1348 Louvain-la-Neuve, Belgium.
  • Pretzsch H; Chair of Forest Growth and Yield Science, Department of Life Science Systems, TUM School of Life Sciences, Technical University of Munich, Hans-Carl-Von-Carlowitz-Platz 2, 85354 Freising. Germany.
Sci Total Environ ; 942: 173342, 2024 Sep 10.
Article em En | MEDLINE | ID: mdl-38848911
ABSTRACT
The climate change scenarios RCP 4.5 and RCP 8.5, with a representative concentration pathway for stabilization of radiative forcing of 4.5 W m-2 and 8.5 W m-2 by 2100, respectively, predict an increase in temperature of 1-4.5° Celsius for Europe and a simultaneous shift in precipitation patterns leading to increased drought frequency and severity. The negative consequences of such changes on tree growth on dry sites or at the dry end of a tree species distribution are well-known, but rarely quantified across large gradients. In this study, the growth of Quercus robur and Quercus petraea (Q. spp.) and Pinus sylvestris in pure and mixed stands was predicted for a historical scenario and the two climate change scenarios RCP 4.5 and RCP 8.5 using the individual tree growth model PrognAus. Predictions were made along an ecological gradient ranging from current mean annual temperatures of 5.5-11.4 °C and with mean annual precipitation sums of 586-929 mm. Initial data for the simulation consisted of 23 triplets established in pure and mixed stands of Q. spp. and P. sylvestris. After doing the simulations until 2100, we fitted a linear mixed model using the predicted volume in the year 2100 as response variable to describe the general trends in the simulation results. Productivity decreased for both Q. spp. and P. sylvestris with increasing temperature, and more so, for the warmer sites of the gradient. P. sylvestris is the more productive tree species in the current climate scenario, but the competitive advantage shifts to Q. spp., which is capable to endure very high negative water potentials, for the more severe climate change scenario. The Q. spp.-P. sylvestris mixture presents an intermediate resilience to increased scenario severity. Enrichment of P. sylvestris stands by creating mixtures with Q. spp., but not the opposite, might be a right silvicultural adaptive strategy, especially at lower latitudes. Tree species mixing can only partly compensate productivity losses due to climate change. This may, however, be possible in combination with other silvicultural adaptation strategies, such as thinning and uneven-aged management.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudança Climática / Quercus / Pinus sylvestris Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mudança Climática / Quercus / Pinus sylvestris Idioma: En Ano de publicação: 2024 Tipo de documento: Article