Keywords
Random forestBasal areaBeechRange (aeronautics)Tree (set theory)Environmental scienceSpecies distributionStatisticsEcologyComputer scienceMathematicsHabitatMachine learningBiology
Affiliated Institutions
Related Publications
The inability of tropical cloud forest species to invade grasslands above treeline during climate change: potential explanations and consequences
The upper elevational range edges of most tropical cloud forest tree species and hence the ‘treeline’ are thought to be determined primarily by temperatures. For this reason, th...
Historical climate modelling predicts patterns of current biodiversity in the Brazilian Atlantic forest
Abstract Aim We aim to propose validated, spatially explicit hypotheses for the late Quaternary distribution of the Brazilian Atlantic forest, and thereby provide a framework fo...
Effects of Landscape Structure on Nesting Songbird Distribution in a Harvested Boreal Forest
We studied the effects of forest cover and configuration on nesting songbird distribution in a harvested boreal forest. To emphasize landscape-level effects relative to stand ef...
Error and uncertainty in habitat models
Summary Species distribution models (habitat models) relate the occurrence or abundance of a species to environmental and/or geographical predictors that then allow predictions ...
Modelling ecological niches with support vector machines
Summary The ecological niche is a fundamental biological concept. Modelling species’ niches is central to numerous ecological applications, including predicting species invasion...
Publication Info
- Year
- 2006
- Type
- article
- Volume
- 9
- Issue
- 2
- Pages
- 181-199
- Citations
- 2207
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
2207
OpenAlex
Cite This
Anantha Prasad,
Louis R. Iverson,
Andy Liaw
(2006).
Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction.
Ecosystems
, 9
(2)
, 181-199.
https://doi.org/10.1007/s10021-005-0054-1
Identifiers
- DOI
- 10.1007/s10021-005-0054-1