Chris Cohrs

Works (4)

Updated: April 9th, 2024 05:02

2024 journal article

Forest soil classification for intensive pine plantation management: "Site Productivity Optimization for Trees" system

FOREST ECOLOGY AND MANAGEMENT, 556.

By: R. Cook n , T. Fox*, H. Allen* , C. Cohrs* , V. Ribas-Costa n, A. Trlica n, M. Ricker  n, D. Carter * ...

author keywords: Loblolly pine; Soil classification; Geology; Site productivity; Site index; Forest fertilization
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: April 8, 2024

2021 journal article

Duration of response to nitrogen and phosphorus applications in mid-rotation Pinus taeda

FOREST ECOLOGY AND MANAGEMENT, 498.

By: T. Albaugh*, J. Albaugh*, D. Carter*, R. Cook n , C. Cohrs n , R. Rubilar*, O. Campoe *

Contributors: T. Albaugh*, J. Albaugh*, D. Carter*, R. Cook n , C. Cohrs n , R. Rubilar*, O. Campoe *

author keywords: Incremental volume growth; Type B response; Loblolly pine; Phosphorus; Nitrogen; Foliar nutrient concentrations
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: September 20, 2021

2020 journal article

Longer greenup periods associated with greater wood volume growth in managed pine stands

AGRICULTURAL AND FOREST METEOROLOGY, 297.

By: X. Gao n, J. Gray n , C. Cohrs n , R. Cook n  & T. Albaugh*

Contributors: X. Gao n, J. Gray n , C. Cohrs n , R. Cook n  & T. Albaugh*

author keywords: Land surface phenology; Forest productivity; Remote sensing; Time series; Competing vegetation
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: ORCID, Web Of Science, NC State University Libraries
Added: November 15, 2020

2020 journal article

Sentinel-2 Leaf Area Index Estimation for Pine Plantations in the Southeastern United States

Remote Sensing, 12(9), 1406.

By: C. Cohrs n , R. Cook n , J. Gray n  & T. Albaugh*

Contributors: C. Cohrs n , R. Cook n , J. Gray n  & T. Albaugh*

author keywords: leaf area index; loblolly pine; forestry; site variability; forest site productivity; remote sensing; silviculture; stand density; support vector machine; supervised classification
TL;DR: Results indicate that Sentinel-2’s improved spatial resolution and temporal revisit interval provide new opportunities for managers to detect within-stand variance and improve accuracy for LAI estimation over current industry standard models. (via Semantic Scholar)
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries, Crossref, ORCID
Added: July 20, 2020

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