Carlos Alberto Gonzalez-Benecke

Dr. Carlos Alberto Gonzalez-Benecke

Vegetation Management Research Cooperative (VMRC). Department of Forest Engineering, Resources, and Management, Oregon State University, 240 Peavy Forest Science Center (PFSC), Corvallis, OR 97331, USA
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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 July 2016 in Canadian Journal of Remote Sensing
Verified
Journal Article
Closed access
Carlos Alberto SilvaCarlos Alberto Silva
Carlos Alberto Silva
AHAndrew T. Hudak
Andrew T. Hudak
LVLee A. Vierling
Lee A. Vierling
ELE. Louise Loudermilk
E. Louise Loudermilk
JOJoseph J. O’brien
Joseph J. O’brien
AKAnahita Khosravipour
Anahita Khosravipour
Light Detection and Ranging (LiDAR) has demonstrated potential for forest inventory at the individual-tree level. The aim in this study was to predict individual-tree height (Ht; m), basal area (BA; m2), and stem volume (V; m3) attributes, imputing Random Forest k-nearest neighbor (RF k-NN) and individual-tree-level-based metrics extracted from a LiDAR-derived canopy height model (CHM) in a longleaf pine (Pinus palustris Mill.) forest in southwestern Georgia, United States. We developed a new framework for modeling tree-level forest attributes that comprise 3 steps: (i) individual tree detection, crown delineation, and tree-level-based metrics computation from LiDAR-derived CHM; (ii) automatic matching of LiDAR-derived trees and field-based trees for a regression modeling step using a novel algorithm; and (iii) RF k-NN imputation modeling for estimating tree-level Ht, BA, and V and subsequent summarization of these metrics at the plot and stand levels. RMSDs for tree-level Ht, BA, and V were 2.96%, 58.62%, and 8.19%, respectively. Although BA estimation accuracy was poor because of the longleaf pine growth habitat, individual-tree locations, Ht, and V were estimated with high accuracy, especially in low-canopy-cover conditions. Future efforts based on the findings could help improve the estimation accuracy of individual-tree-level attributes such as BA.

1 December 2014 in Forest Ecology and Management
Verified
Journal Article
Closed access
Carlos Alberto Gonzalez-BeneckeCarlos Alberto Gonzalez-Benecke
Carlos Alberto Gonzalez-Benecke
SGSalvador A. Gezan
Salvador A. Gezan
TATimothy J. Albaugh
Timothy J. Albaugh
HAH. Lee Allen
H. Lee Allen
HBHarold E. Burkhart
Harold E. Burkhart
LSLisa J. Samuelson
Lisa J. Samuelson

16 February 2014 in Journal of Forestry Research
Verified
Journal Article
Closed access
PDF file
Carlos Alberto Gonzalez-BeneckeCarlos Alberto Gonzalez-Benecke
Carlos Alberto Gonzalez-Benecke
SGSalvador A. Gezan
Salvador A. Gezan
LSLisa J. Samuelson
Lisa J. Samuelson
WCWendell Cropper
Wendell Cropper
DLDaniel J. Leduc
Daniel J. Leduc
Timothy A. MartinTimothy A. Martin
Timothy A. Martin

1 May 2014 in Canadian Journal of Forest Research
Verified
Journal Article
Closed access
LSLisa J. Samuelson
Lisa J. Samuelson
TSTom A. Stokes
Tom A. Stokes
JBJohn Butnor
John Butnor
KJKurt H. Johnsen
Kurt H. Johnsen
Carlos Alberto Gonzalez-BeneckeCarlos Alberto Gonzalez-Benecke
Carlos Alberto Gonzalez-Benecke
WCWendell Cropper
Wendell Cropper
Longleaf pine (Pinus palustris Mill.) restoration in the southeastern United States offers opportunities for carbon (C) sequestration. Ecosystem C stocks are not well understood in longleaf pine forests, which are typically of low density and maintained by prescribed fire. The objectives of this research were to develop allometric equations for above- and below-ground biomass and quantify ecosystem C stocks in five longleaf pine forests ranging in age from 5 to 87 years and in basal area from 0.4 to 22.6 m2·ha−1. Live aboveground C (woody plant + ground cover) and live root C (longleaf pine below stump + plot level coarse roots + plot level fine roots) ranged from 1.4 and 2.9 Mg C·ha−1, respectively, in the 5-year-old stand to 78.4 and 19.2 Mg C·ha−1, respectively, in the 87-year-old stand. Total ecosystem C (live plant + dead organic matter + mineral soil) values were 71.6, 110.1, 124.6, 141.4, and 185.4 Mg C·ha−1 in the 5-, 12-, 21-, 64-, and 87-year-old stands, respectively, and dominated by tree C and soil C. In the 5-year-old stand, ground cover C and residual taproot C were significant C stocks. This unique, in-depth assessment of above- and below-ground C across a series of longleaf pine stands will improve estimates of C in longleaf pine ecosystems and contribute to development of general biomass models that account for variation in climate, site, and management history in an important but understudied ecosystem.

1 March 2022 in Science of The Total Environment
Verified
Journal Article
Closed access
HHHenrique Haas
Henrique Haas
NRNathan G.F. Reaver
Nathan G.F. Reaver
RKRitesh Karki
Ritesh Karki
Latif KalinLatif Kalin
Latif Kalin
PSPuneet Srivastava
Puneet Srivastava
Carlos Alberto Gonzalez-BeneckeCarlos Alberto Gonzalez-Benecke
Carlos Alberto Gonzalez-Benecke

23 September 2016 in Ecological Applications
Verified
Journal Article
Open access
PDF file
LSLisa Samuelson
Lisa Samuelson
TSThomas A. Stokes
Thomas A. Stokes
JBJohn Butnor
John Butnor
KJKurt H. Johnsen
Kurt H. Johnsen
Carlos Alberto Gonzalez-BeneckeCarlos Alberto Gonzalez-Benecke
Carlos Alberto Gonzalez-Benecke
JLJohn C. Lewis
John C. Lewis
Forests can partially offset greenhouse gas emissions and contribute to climate change mitigation, mainly through increases in live biomass. We quantified carbon (C) density in 20 managed longleaf pine (Pinus palustrisMill.) forests ranging in age from 5 to 118 years located across the southeasternUnited Statesand estimated above‐ and belowground C trajectories. Ecosystem C stock (all pools including soil C) and aboveground live tree C increased nonlinearly with stand age and the modeled asymptotic maxima were 168 Mg C/ha and 80 Mg C/ha, respectively. Accumulation of ecosystem C with stand age was driven mainly by increases in aboveground live tree C, which ranged from <1 Mg C/ha to 74 Mg C/ha and comprised <1% to 39% of ecosystem C. Live root C (sum of below‐stump C, ground penetrating radar measurement of lateral root C, and live fine root C) increased with stand age and represented 4–22% of ecosystem C. Soil C was related to site index, but not to stand age, and made up 39–92% of ecosystem C. Live understory C, forest floor C, downed dead wood C, and standing dead wood C were small fractions of ecosystem C in these frequently burned stands. Stand age and site index accounted for 76% of the variation in ecosystem C among stands. The mean root‐to‐shoot ratio calculated as the average across all stands (excluding the grass‐stage stand) was 0.54 (standard deviation of 0.19) and higher than reports for other conifers. Long‐term accumulation of live tree C, combined with the larger role of belowground accumulation of lateral root C than in other forest types, indicates a role of longleaf pine forests in providing disturbance‐resistant C storage that can balance the more rapid C accumulation and C removal associated with more intensively managed forests. Although other managed southern pine systems sequester more C over the short‐term, we suggest that longleaf pine forests can play a meaningful role in regional forest C management.