Modeling forest site productivity using mapped geospatial attributes within a South Carolina Landscape, USA

•Created a spatially explicit model of site productivity for a 74,000-ha landscape.•Initial analysis indicated substantial regression attenuation bias.•Structural equation modeling removed bias, creating a usable model (R2=0.57). Spatially explicit mapping of forest productivity is important to asse...

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Veröffentlicht in:	Forest ecology and management 2017-12, Vol.406 (C), p.196-207
Hauptverfasser:	Parresol, B.R., Scott, D.A., Zarnoch, S.J., Edwards, L.A., Blake, J.I.
Format:	Artikel
Sprache:	eng
Schlagworte:	60 APPLIED LIFE SCIENCES ENVIRONMENTAL SCIENCES Regression attenuation Site index Spatial analysis Structural equation modeling
Online-Zugang:	Volltext
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