What ecological land classification data reveal about the vegetation of six Canadian national parks

From 1974 to 1992, a multiagency research project developed ecological land classifications (ELCs) of landforms, soils, vegetation, and wildlife for Banff, Jasper, Glacier, Kootenay, Mt. Revelstoke, and Yoho National Parks in the mountains of Alberta and British Columbia. My objectives are to provide the research community with the full ELC dataset and to produce and interpret a new comprehensive vegetation classification. Cluster analyses, ordinations, indicator species analyses, and multi-response permutation procedures were used to classify the 4807 plots within the six parks. The 84 vegetation types are abstractions arrayed along a complex continuum. The vegetation is dominated by relatively few taxa accompanied by many infrequent taxa at low cover. Repeated cluster analyses revealed that all classifications produced three classes of vegetation types: (1) too-similar types with few indicator species; (2) heterogeneous assemblages; and (3) discrete, well-defined types. Of the five ecoregions, the lower subalpine supports the highest gamma and beta diversity and the greatest number of vegetation types. Less common, heterogeneous vegetation types are often hotspots for rare plant occurrences. Resampling ELC plots can provide important insights into the changing ecosystems of the mountains.

Authors

Institutions

Publication Details

Journal
Ecoscience
Published
2026-07-26
DOI
https://doi.org/10.1080/11956860.2026.2683604
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

What ecological land classification data reveal about the vegetation of six Canadian national parks

Kevin Timoney
Ecoscience
Ecology and Vegetation Dynamics Studies
article

What ecological land classification data reveal about the vegetation of six Canadian national parks

Kevin Timoney
article en

Abstract

From 1974 to 1992, a multiagency research project developed ecological land classifications (ELCs) of landforms, soils, vegetation, and wildlife for Banff, Jasper, Glacier, Kootenay, Mt. Revelstoke, and Yoho National Parks in the mountains of Alberta and British Columbia. My objectives are to provide the research community with the full ELC dataset and to produce and interpret a new comprehensive vegetation classification. Cluster analyses, ordinations, indicator species analyses, and multi-response permutation procedures were used to classify the 4807 plots within the six parks. The 84 vegetation types are abstractions arrayed along a complex continuum. The vegetation is dominated by relatively few taxa accompanied by many infrequent taxa at low cover. Repeated cluster analyses revealed that all classifications produced three classes of vegetation types: (1) too-similar types with few indicator species; (2) heterogeneous assemblages; and (3) discrete, well-defined types. Of the five ecoregions, the lower subalpine supports the highest gamma and beta diversity and the greatest number of vegetation types. Less common, heterogeneous vegetation types are often hotspots for rare plant occurrences. Resampling ELC plots can provide important insights into the changing ecosystems of the mountains.

Ecoscience
HUN-REN Centre for Ecological Research (HU)
Life in Land
Openalex Percentile: Top 7%
Ecology and Vegetation Dynamics Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

What ecological land classification data reveal about the vegetation of six Canadian national parks — Kevin Timoney · Ecoscience (2026) | TGRS Research Map | TGRS