Estimating historical forest density from land‐survey data: a response to Baker and Williams (2018)

Land surveys show regional variability of historical fire regimes and dry forest structure of the western United States

(2018) William L. Baker et al.   ECOLOGICAL APPLICATIONS

A retrospective on the accuracy and precision of plotless forest density estimators in ecological studies

(2018) Charles V. Cogbill et al.   Ecosphere

Restoring historical forest conditions in a diverse inland Pacific Northwest landscape

(2018) James D. Johnston et al.   Ecosphere

Use of landscape simulation modeling to quantify resilience for ecological applications

(2018) Robert E. Keane et al.   Ecosphere

Correction: Statistically-Estimated Tree Composition for the Northeastern United States at Euro-American Settlement

(2017) Christopher J. Paciorek et al.   PLoS One

Erratum

(2017)   Ecosphere

U.S. federal fire and forest policy: emphasizing resilience in dry forests

(2016) Scott L. Stephens et al.   Ecosphere

Novel and Lost Forests in the Upper Midwestern United States, from New Estimates of Settlement-Era Composition, Stem Density, and Biomass

(2016) Simon J. Goring et al.   PLoS One

Landscape-scale modeling of reference period forest conditions and fire behavior on heavily logged lands

(2014) R. Stockton Maxwell et al.   Ecosphere

Historical forest structure and fire in Sierran mixed-conifer forests reconstructed from General Land Office survey data

(2014) William L. Baker   Ecosphere

Comparison of historical and current forest surveys for detection of homogenization and mesophication of Minnesota forests

(2012) Brice B. Hanberry et al.   LANDSCAPE ECOLOGY

Implications of spatially extensive historical data from surveys for restoring dry forests of Oregon's eastern Cascades

(2012) William L. Baker   Ecosphere

Testing the accuracy of new methods for reconstructing historical structure of forest landscapes using GLO survey data

(2010) Mark A. Williams et al.   ECOLOGICAL MONOGRAPHS

Spatial pattern corrections and sample sizes for forest density estimates of historical tree surveys

(2010) Brice B. Hanberry et al.   LANDSCAPE ECOLOGY

Historical forest baselines reveal potential for continued carbon sequestration

(2009) J. M. Rhemtulla et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A comparison of plotless density estimators using Monte Carlo simulation on totally enumerated field data sets

(2008) Neil A White et al.   BMC ECOLOGY