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Quantification and incorporation of uncertainty in forest growth and yield projections using a Bayesian probabilistic framework: A demonstration for plantation coastal Douglas-fir in the Pacific Northwest, USA

Research article (Mathematical and computational forestry & natural-resource sciences, 2019) · cited 11× · AI/ML
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Quantification and incorporation of uncertainty in forest growth and yield projections using a Bayesian probabilistic framework: A demonstration for plantation coastal Douglas-fir in the Pacific Northwest, USA

Summary

Quantification and incorporation of uncertainty in forest growth and yield projections using a Bayesian probabilistic framework: A demonstration for plantation coastal Douglas-fir in the Pacific Northwest, USA is a scholarly article[1].

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  • Quantification and incorporation of uncertainty in forest growth and yield projections using a Bayesian probabilistic framework: A demonstration for plantation coastal Douglas-fir in the Pacific Northwest, USA's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Quantification and incorporation of uncertainty in forest growth and yield projections using a Bayesian probabilistic framework: A demonstration for plantation coastal Douglas-fir in the Pacific Northwest, USA. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantification-and-incorporation-of-uncertainty-in-forest-growth-and-yield-projections-using-a-bayesian-probabilistic-fr
MLA “Quantification and incorporation of uncertainty in forest growth and yield projections using a Bayesian probabilistic framework: A demonstration for plantation coastal Douglas-fir in the Pacific Northwest, USA.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantification-and-incorporation-of-uncertainty-in-forest-growth-and-yield-projections-using-a-bayesian-probabilistic-fr.
BibTeX @misc{4ortxyz_quantification-and-incorporation-of-uncertainty-in-forest-growth-and-yield-projections-using-a-bayesian-probabilistic-fr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantification and incorporation of uncertainty in forest growth and yield projections using a Bayesian probabilistic framework: A demonstration for plantation coastal Douglas-fir in the Pacific Northwest, USA}}, year = {2026}, url = {https://4ort.xyz/entity/quantification-and-incorporation-of-uncertainty-in-forest-growth-and-yield-projections-using-a-bayesian-probabilistic-fr}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantification and incorporation of uncertainty in forest growth and yield projections using a Bayesian probabilistic framework: A demonstration for plantation coastal Douglas-fir in the Pacific Northwest, USA — https://4ort.xyz/entity/quantification-and-incorporation-of-uncertainty-in-forest-growth-and-yield-projections-using-a-bayesian-probabilistic-fr (retrieved 2026-05-24)

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