Abstract
Forests represent an important pool in the global carbon cycle. However, biomass stocks and carbon fluxes are variable due to the fact that forest dynamics are driven by processes that act on different spatial and temporal scales. Estimating forest biomass and productivity for larger regions is therefore a major challenge. In this study, horizontal and vertical forest structure is used to improve forest ecosystem service mapping by remote sensing. By linking remote sensing techniques with vegetation modelling (here FORMIND) and forest inventories, forest structure maps were derived for Germany (resolution 4 km). Using these maps, the role of forest structure for selected ecosystem services of forests has been investigated. For forest state estimations (like biomass) horizontal forest structure plays a key role while for productivity estimations both horizontal and vertical structures are relevant. This concept of forest structure classification in combination with forest modelling and remote sensing has high potential for applications at continental scales as future remote sensing missions will provide information on forest structure.
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References
Gibson L, Lee TM, Koh LP, Brook BW, Gardner TA, Barlow J, et al. Primary forests are irreplaceable for sustaining tropical biodiversity. Nature. 2011;478:378–81.
Myers N, Mittermeier RA, Mittermeier CG, da Fonseca GAB, Kent J. Biodiversity hotspots for conservation priorities. Nature. 2000;403:853–8.
Pimm SL, Jenkins CN, Abell R, Brooks TM, Gittleman JL, Joppa LN, et al. The biodiversity of species and their rates of extinction, distribution, and protection. Science. 2014;344:1246752.
Bonan GB. Forests and climate change: forcings, feedbacks, and the climate benefits of forests. Science. 2008;320:1444–9.
Grace J, Mitchard E, Gloor E. Perturbations in the carbon budget of the tropics. Glob Chang Biol. 2014;20:3238–55.
Pan Y, Birdsey RA, Fang J, Houghton R, Kauppi PE, Kurz WA, et al. A large and persistent carbon sink in the world’s forests. Science. 2011;333:988–93.
Reifsnyder WE. The role of forests in the global and regional water and energy balances. In: CAgM, editor. CAgM report, no 8. Geneva: World Meteorological Organization; 1982.
Intergovernmental Panel on Climate Change. Climate change 2014: impacts, adaptation, and vulnerability. Cambridge: Cambridge University Press; 2015.
Reineke LH. Perfecting a stand-density index for even-aged forests. J Agric Res. 1933;46:627–38.
Pretzsch H. Forest dynamics, growth and yield. Berlin: Springer Verlag; 2009. p. 281.
Dritte Bundeswaldinventur. Thuenen-Institut – Basisdaten (Stand 20.03.2015). 2015. https://bwi.info/Download/de/BWI-Basisdaten/ACCESS2003/. Accessed 7 Oct 2017.
Knapp N, Fischer R, Huth A. Linking lidar and forest modeling to assess biomass estimation across scales and disturbance states. Remote Sens Environ. 2018;205:199–209.
Bohn FJ, Huth A. The importance of forest structure to biodiversity–productivity relationships. R Soc Open Sci. 2017;4:160521.
Fischer R, Bohn F, Dantas de Paula M, Dislich C, Groeneveld J, Gutiérrez AG, et al. Lessons learned from applying a forest gap model to understand ecosystem and carbon dynamics of complex tropical forests. Ecol Model. 2016;326:124–33.
Acknowledgements
We thank the Thünen Institute for providing the German national forest inventory (BWI) data. We also want to thank Hans Pretzsch, Peter Biber, and Michael Heym (TUM) for their input on forest structure and structure metrics. Kostas Papathanassiou, Victor Cazcarra-Bes, Matteo Pardini and Marivi Tello Alonso (DLR) gave useful insights into linking forest structure and remote sensing. This study was part of the Helmholtz-Alliance Remote Sensing and Earth System Dynamics. NK was funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) under the funding reference 50EE1416.
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Fischer, R., Knapp, N., Bohn, F., Huth, A. (2019). Remote Sensing Measurements of Forest Structure Types for Ecosystem Service Mapping. In: Schröter, M., Bonn, A., Klotz, S., Seppelt, R., Baessler, C. (eds) Atlas of Ecosystem Services. Springer, Cham. https://doi.org/10.1007/978-3-319-96229-0_11
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DOI: https://doi.org/10.1007/978-3-319-96229-0_11
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