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Folia Geobotanica

, Volume 49, Issue 3, pp 309–312 | Cite as

Spatial Modeling of Vegetation Potential: An Introduction

  • Jörg Ewald
  • Radim Hédl
Article

In the face of global change, the mapping of vegetation and its underlying site conditions has re-entered the focus of applied vegetation science. Thus, land managers, conservationists and scientists require a new generation of mapped and interpreted environmental information as a basis for scenario building, planning and decision making. Nowadays, such mapping is rarely performed by experts in the field, but rather by the synthesis of ecological information from point data and area-wide layers stored in geographical information systems (GIS). The prerequisites and main reasons to prefer these methods are (1) the availability of point data from vegetation plots and concomitant soil profiles, (2) availability of high resolution geo-physical data, and (3) the predictive potential of models that allow the application of climate change scenarios.

Vegetation scientists, and the custodians of vegetation databases in particular, have an important contribution to make in this process. Besides...

Keywords

Environmental gradients Forest vegetation GIS Global change Vegetation databases 

References

  1. Attorre F, Francesconi F, De Sanctis M, Alfò M, Martella F, Valenti R, Vitale M (2014) Classifying and mapping potential distribution of forest types using a finite mixture model. Folia Geobot (this issue) doi: 10.1007/s12224-012-9139-8
  2. Fischer HS, Michler B, Ewald J (2014) Environmental, spatial and structural components in the composition of mountain forest in the Bavarian Alps. Folia Geobot (this issue) doi: 10.1007/s12224-013-9185-x
  3. Häring T, Reger B, Ewald J, Hothorn T, Schröder B (2014) Regionalising indicator values for soil reaction in the Bavarian Alps – from averages to multivariate spectra. Folia Geobot (this issue) doi: 10.1007/s12224-013-9157-1
  4. Mellert KH, Ewald J (2014) Regionalizing nutrient values of vegetation to assess site fertility of mountain forests in the Bavarian Alps. Folia Geobot (this issue) doi: 10.1007/s12224-013-9167-z
  5. Reger B, Häring T, Ewald J (2014) The TRM Model of potential natural vegetation in mountain forests. Folia Geobot (this issue) doi: 10.1007/s12224-013-9158-0

Copyright information

© Institute of Botany, Academy of Sciences of the Czech Republic 2014

Authors and Affiliations

  1. 1.Faculty of ForestryUniversity of Applied Sciences Weihenstephan-TriesdorfFreisingGermany
  2. 2.Institute of BotanyAcademy of Sciences of the Czech RepublicBrnoCzech Republic

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