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  3. Vol. 18 Nr. 1: MCFNS April 30, 2026

Vol. 18 Nr. 1: MCFNS April 30, 2026

					Se Vol. 18 Nr. 1: MCFNS April 30, 2026
Publisert: 2026-04-30

Natural Resource Economics and Policy

  • Effects of Improved Forest Management and Loblolly Pine Genotypes on Carbon Sequestration and Profitability in the Southeastern United States

    Ömer F. Ince, Jacek P. Siry, Rafael De La Torre
    1-22 (22)
    • PDF (engelsk)

Artificial Intelligence and Machine Learning in Natural Resource Sciences

  • Artificial Intelligence and Peer Review Capacity in Forestry: A Decade of Evolution and an Introduction to Proposed MCFNS Guidelines for AI-Assisted Review

    Aaron R. Weiskittel
    23-35 (13)
    • PDF (engelsk)
    • Guidelines_SP1.pdf (engelsk)
  • Artificial Intelligence as a Research Instrument and an Editorial Burden: Scientific Judgment, Forestry Scientometrics, and Academic Incentives

    Chris J. Cieszewski
    36-58 (23)
    • PDF (engelsk)
    • App.C.zip (engelsk)
    • App.D.pdf (engelsk)
    • App.E.pdf (engelsk)

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Keywords

remote sensing forest inventory GIS Symposium Proceedings FIA simulation operations research cohort dynamics Lyapunov exponent tree questioning chaotic models SOFOR GIS Geographic Information Systems linear programming Smolensk crash Smolensk birch Heuristics optimization Lidar Spatial Information Technologies Forest growth and yield Smolensk catastrophe Polish Air Force One Wood Quality Pinus taeda competition Inventory adjacency constraints

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