Informing changes to riparian forestry rules with a Bayesian hierarchical model
• A Bayesian hierarchical model joined a shade model to a stream temperature model. • The Bayesian model predicted the efficacy of current and proposed harvest rules. • A rule-revision process considered model findings and other information. • Oregon harvest rules were changed, increasing tree reten...
Ausführliche Beschreibung
Autor*in: |
Groom, Jeremiah D. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2018 |
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Schlagwörter: |
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Umfang: |
14 |
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Übergeordnetes Werk: |
Enthalten in: A new phenomenological constitutive model for hot tensile deformation behaviors of a typical Al–Cu–Mg alloy - Lin, Y.C. ELSEVIER, 2013, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:419 ; year:2018 ; day:1 ; month:07 ; pages:17-30 ; extent:14 |
Links: |
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DOI / URN: |
10.1016/j.foreco.2018.03.014 |
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informing changes to riparian forestry rules with a bayesian hierarchical model |
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Informing changes to riparian forestry rules with a Bayesian hierarchical model |
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• A Bayesian hierarchical model joined a shade model to a stream temperature model. • The Bayesian model predicted the efficacy of current and proposed harvest rules. • A rule-revision process considered model findings and other information. • Oregon harvest rules were changed, increasing tree retention along streams. |
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• A Bayesian hierarchical model joined a shade model to a stream temperature model. • The Bayesian model predicted the efficacy of current and proposed harvest rules. • A rule-revision process considered model findings and other information. • Oregon harvest rules were changed, increasing tree retention along streams. |
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• A Bayesian hierarchical model joined a shade model to a stream temperature model. • The Bayesian model predicted the efficacy of current and proposed harvest rules. • A rule-revision process considered model findings and other information. • Oregon harvest rules were changed, increasing tree retention along streams. |
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Informing changes to riparian forestry rules with a Bayesian hierarchical model |
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