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Key factors affecting the future provision of tree-based forest ecosystem goods and services

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  • Livia Rasche
  • Lorenz Fahse
  • Harald Bugmann

Abstract

The continuous provisioning of forest ecosystem goods and services (EGS) is of considerable interest to society. To provide insights on how much EGS provision will change with a changing climate and which factors will influence this change the most, we simulated forest stands on six climatically different sites in Central Europe under several scenarios of species diversity, management, and climate change. We evaluated the influence of these factors on the provision of a range of tree-based EGS, represented by harvested basal area, total biomass, stand diversity, and productivity. The most influential factor was species diversity, with diverse forest stands showing a lower sensitivity to climate change than monocultures. Management mainly influenced biomass, with the most intensively managed stands retaining more of their original biomass than others. All three climate-change scenarios yielded very similar results. We showed that (1) only few factor combinations perform worse under climate-change conditions than others, (2) diversity aspects are important for adaptive management measures, but for some indicators, management may be more important than diversity, and (3) at locations subject to increasing drought, the future provision of EGS may decrease regardless of the factor combination. This quantitative evaluation of the influence of different factors on changes in the provision of forest EGS with climate change represents an important step towards the design of more focused adaptation strategies and highlights key factors that should be considered in simulation studies under climate change. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Livia Rasche & Lorenz Fahse & Harald Bugmann, 2013. "Key factors affecting the future provision of tree-based forest ecosystem goods and services," Climatic Change, Springer, vol. 118(3), pages 579-593, June.
    • Handle: RePEc:spr:climat:v:118:y:2013:i:3:p:579-593
    DOI: 10.1007/s10584-012-0664-5
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    References listed on IDEAS

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    1. Rasche, Livia & Fahse, Lorenz & Zingg, Andreas & Bugmann, Harald, 2012. "Enhancing gap model accuracy by modeling dynamic height growth and dynamic maximum tree height," Ecological Modelling, Elsevier, vol. 232(C), pages 133-143.
    2. Michel Loreau & Andy Hector, 2001. "Partitioning selection and complementarity in biodiversity experiments," Nature, Nature, vol. 412(6842), pages 72-76, July.
    3. Terry L. Root & Jeff T. Price & Kimberly R. Hall & Stephen H. Schneider & Cynthia Rosenzweig & J. Alan Pounds, 2003. "Fingerprints of global warming on wild animals and plants," Nature, Nature, vol. 421(6918), pages 57-60, January.
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    1. Binita KC & J. M. Shepherd & Anthony W. King & Cassandra Johnson Gaither, 2021. "Multi-hazard climate risk projections for the United States," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1963-1976, January.
    2. Huber, Nica & Bugmann, Harald & Lafond, Valentine, 2018. "Global sensitivity analysis of a dynamic vegetation model: Model sensitivity depends on successional time, climate and competitive interactions," Ecological Modelling, Elsevier, vol. 368(C), pages 377-390.
    3. P. Harrison & R. Dunford & C. Savin & M. Rounsevell & I. Holman & A. Kebede & B. Stuch, 2015. "Cross-sectoral impacts of climate change and socio-economic change for multiple, European land- and water-based sectors," Climatic Change, Springer, vol. 128(3), pages 279-292, February.

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