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 output: Contribution to journalArticlepeer-review

31 Scopus citations

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.

Original languageEnglish
Article number56
JournalAnnals of Forest Science
Volume75
Issue number2
DOIs
StatePublished - 1 Jun 2018

Keywords

  • Climate
  • National forest inventories
  • Productivity

Fingerprint

Dive into the research topics of 'Static site indices from different national forest inventories: harmonization and prediction from site conditions'. Together they form a unique fingerprint.

Cite this