Robust historical timber inventories describe patterns of forest structure, composition, and competition across a wide latitudinal gradient

Frequent-fire forests had fewer, larger trees and experienced less competition for resources prior to widespread fire suppression and logging in the early 20th century, yet landscape-scale assessments of historical forest structure, composition, and competition remain limited. We compiled five systematic timber inventories sampled from 1911 to 1936 to assess the historical structure and composition of ponderosa pine and mixed-conifer forests of the Sierra Nevada of California and the Cascades of Oregon and California. We summarized measures of tree size, density, species, and basal area for each dataset. We calculated the relative Stand Density Index (SDI) to quantify degrees of stand competition and utilized Principal Component Analysis and K-means clustering to assess patterns of forest structure across a wide latitudinal gradient. On average, historical frequent-fire forests had low tree densities, larger trees, high representation of fire-tolerant pines, and minimal competition, with variability within and among sites. Clustering analysis identified two distinct groups of stand conditions, but each site had membership within both groups, revealing landscape-level similarities despite our extensive study area. Our synthesis of historical timber inventories illustrates a spectrum of frequent-fire forest characteristics across broad spatial scales, providing managers with reference conditions that can inform contemporary forest restoration and support aspirations of operational resilience.

Authors

Institutions

Publication Details

Journal
Forest Ecology and Management
Published
2026-06-26
DOI
https://doi.org/10.1016/j.foreco.2026.124036
Primary Topic
Forest Ecology and Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust historical timber inventories describe patterns of forest structure, composition, and competition across a wide latitudinal gradient

Scott L. Stephens, R. Keala Hagmann, R.A. York, Brandon M. Collins et al.
Forest Ecology and Management
Forest Ecology and Biodiversity Studies
article

Robust historical timber inventories describe patterns of forest structure, composition, and competition across a wide latitudinal gradient

Scott L. Stephens, R. Keala Hagmann, R.A. York, Brandon M. Collins, Ève Ryan, Jessika R. McFarland
article en

Abstract

Frequent-fire forests had fewer, larger trees and experienced less competition for resources prior to widespread fire suppression and logging in the early 20th century, yet landscape-scale assessments of historical forest structure, composition, and competition remain limited. We compiled five systematic timber inventories sampled from 1911 to 1936 to assess the historical structure and composition of ponderosa pine and mixed-conifer forests of the Sierra Nevada of California and the Cascades of Oregon and California. We summarized measures of tree size, density, species, and basal area for each dataset. We calculated the relative Stand Density Index (SDI) to quantify degrees of stand competition and utilized Principal Component Analysis and K-means clustering to assess patterns of forest structure across a wide latitudinal gradient. On average, historical frequent-fire forests had low tree densities, larger trees, high representation of fire-tolerant pines, and minimal competition, with variability within and among sites. Clustering analysis identified two distinct groups of stand conditions, but each site had membership within both groups, revealing landscape-level similarities despite our extensive study area. Our synthesis of historical timber inventories illustrates a spectrum of frequent-fire forest characteristics across broad spatial scales, providing managers with reference conditions that can inform contemporary forest restoration and support aspirations of operational resilience.

Forest Ecology and ManagementVol. 619
US Forest Service (US), University of Washington (US), Pacific Southwest Research Station (US), University of California, Berkeley (US)
Life in Land
Openalex Percentile: Top 7%
Forest Ecology and Biodiversity 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.