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Static site indices from different national forest inventories: harmonization and prediction from site conditions

  • Susanne Brandl
  • Tobias Mette
  • Wolfgang Falk
  • Patrick Vallet
  • Thomas Rötzer
  • Hans Pretzsch
Research Paper
Part of the following topical collections:
  1. Environmental data for the German NFI

Abstract

Key message

Static site indices determined from stands’ top height are derived from different forest inventory sources with height and age information and thus enable comparisons and modeling of a species’ productivity encompassing large environmental gradients.

Context

Estimating forest site productivity under changing climate requires models that cover a wide range of site conditions. To exploit different inventory sources, we need harmonized measures and procedures for the productive potential. Static site indices (SI) appear to be a good choice.

Aims

We propose a method to derive static site indices for different inventory designs and apply it to six tree species of the German and French National Forest Inventory (NFI). For Norway spruce and European beech, the climate dependency of SI is modeled in order to estimate trends in productivity due to climate change.

Methods

Height and age measures are determined from the top diameters of a species at a given site. The SI is determined for a reference age of 100 years.

Results

The top height proves as a stable height measure that can be derived harmoniously from German and French NFI. The boundaries of the age-height frame are well described by the Chapman-Richards function. For spruce and beech, generalized additive models of the SI against simple climate variables lead to stable and plausible model behavior.

Conclusion

The introduced methodology permits a harmonized quantification of forest site productivity by static site indices. Predicting productivity in dependence on climate illustrates the benefits of combined datasets.

Keywords

National forest inventories Climate Productivity 

Notes

Acknowledgements

We would like to thank the Thünen Institute of Forest Ecosystems and the Institut national de l’information géographique et forestière (IGN) for providing the NFI data. The study was funded by the Federal Ministry of Food and Agriculture and the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety of Germany in the frame of the Waldklimafonds. We would like to thank our partners in the project “Forest productivity – carbon sequestration – climate change” for the successful collaboration as well as the anonymous reviewers for their constructive criticism.

Funding

The work is part of the project WP-KS-KW (Waldproduktivität, Kohlenstoffspeicherung, Klimawandel; engl: Forest productivity, carbon sequestration, climate change) and was funded in the frame of the Waldklimafonds by the Federal Ministry of Food and Agriculture and the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety of Germany.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© INRA and Springer-Verlag France SAS, part of Springer Nature 2018

Authors and Affiliations

  • Susanne Brandl
    • 1
  • Tobias Mette
    • 1
  • Wolfgang Falk
    • 1
  • Patrick Vallet
    • 2
    • 3
  • Thomas Rötzer
    • 4
  • Hans Pretzsch
    • 4
  1. 1.Bavarian State Institute of ForestryFreisingGermany
  2. 2.Univ. Grenoble Alpes, Irstea, UR EMGRSt-Martin-d’HèresFrance
  3. 3.Irstea, UR EFNONogent-sur-VernissonFrance
  4. 4.Forest Growth and Yield ScienceTechnische Universität MünchenFreisingGermany

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