Related Experiment Video
Updated: Mar 9, 2026

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon
Published on: October 16, 2018
Comparing Selections of Environmental Variables for Ecological Studies: A Focus on Terrain Attributes
Vincent Lecours1, Craig J Brown2, Rodolphe Devillers1
1Department of Geography, Memorial University of Newfoundland, 232 Elizabeth Avenue, St. John's, Newfoundland and Labrador, Canada.
Carefully selecting terrain attributes is crucial for accurate ecological mapping and species distribution models. Subjective choices can lead to significant reductions in map accuracy and spatial representation of habitats and species.
Area of Science:
- Ecology
- Geomorphology
- Conservation Science
Background:
- Terrain attributes are vital abiotic surrogates for species distribution and habitat mapping.
- Subjective selection of terrain attributes can result in suboptimal ecological models and maps.
- Effective variable selection is critical for reliable conservation and management decisions.
Purpose of the Study:
- To assess the impact of subjective terrain attribute selection on ecological applications.
- To compare the performance of different terrain attribute combinations in habitat mapping and species distribution modeling.
- To highlight the importance of rigorous variable selection for ecological decision-making.
Main Methods:
- Seven distinct terrain attribute selections were used for mapping benthic habitats.
- Habitat maps were generated using unsupervised classification of biophysical characteristics.
- Species distribution models for sea scallops were created using MaxEnt software.
- Performance metrics were used to quantify and compare the effectiveness of different variable combinations.
Main Results:
- A specific combination of terrain attributes (relative position, slope, orientation, topographic mean, rugosity) outperformed others.
- This optimal combination yielded superior results for both habitat mapping and species distribution modeling.
- Differences in accuracy (up to 47%) and spatial distribution (up to 58%) were observed between variable selections.
Conclusions:
- Subjective terrain attribute selection significantly impacts map accuracy and spatial representation.
- Careful, evidence-based variable selection is essential for reliable ecological applications.
- Inaccurate maps derived from suboptimal variables have critical implications for conservation and management strategies.
Related Concept Videos
Methods of Obtaining Topography
Topographic Surveying and Contours
Ecological Niches
Plotting of Topographic Maps
The Soil Ecosystem
Gene-Environment Interactions

