Original language | English |
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Article number | 110499 |
Journal | Ecological Modelling |
Volume | 485 |
DOIs | |
Publication status | Published - Nov 2023 |
Bibliographical note
Funding Information:We sincerely thank the Tyrolean Forest Service, Austria, for providing the extensive dataset on species occurrences and everyone involved in the forest classification of Tyrol, especially Manfred Hotter. Special thanks go to the anonymous reviewers for carrying out a detailed review of an earlier version of the manuscript, which improved our work considerably. The collection of the regional species dataset was jointly funded by the Office of the Tyrolean Government, Austria, the Austrian Government, Austria, and the European Regional Development Fund of the European Union, European Union.
Publisher Copyright:
© 2023 The Author(s)
Keywords
- Cross-scale approach
- Environmental predictor variables
- Partitioning effects
- Soil information
- Species distribution modelling
Fields of Science and Technology Classification 2012
- 107 Other Natural Sciences