Modeling the distribution of white spruce (Picea glauca) for Alaska with high accuracy: an open access role-model for predicting tree species in last remaining wilderness areas

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

  • Bettina Ohse
  • Falk Huettmann
  • Stefanie M. Ickert-Bond
  • Glenn P. Juday
Most wilderness areas still lack accurate distribution information on tree species. We met this need with a predictive GIS modeling approach, using freely available digital data and computer programs to efficiently obtain high-quality species distribution maps. Here we present a digital map with the predicted distribution of white spruce (Picea glauca) in Alaska (4 km resolution, accuracy over 90%). Our presented concept represents a role-model for predicting tree species distribution for remote areas world-wide. Although this model intends to be accurate in making predictions rather than to give detailed biological mechanistic explanations, it can also be used as a baseline for further research and testable hypothesis on the importance of the environmental variables used to build a generalizable model. Further, we emphasize that work like presented here is a pre-condition for assessing human impacts and impacts of climate change on species distribution in a quantitative and transparent fashion, allowing for improved sustainable decision-making world-wide.
OriginalspracheEnglisch
ZeitschriftPolar Biology
Jahrgang32
Ausgabenummer12
Seiten (von - bis)1717-1729
Anzahl der Seiten13
ISSN0722-4060
DOIs
PublikationsstatusErschienen - 12.2009

    Fachgebiete

  • Ökosystemforschung - Species distribution models (SDM), White spruce Picea glauca, Alaska, Tree species, Predictive modeling, Open access (oa)

DOI

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