Modeling forest site productivity using mapped geospatial attributes within a South Carolina Landscape, USA
- DOI
- 10.1016/j.foreco.2017.10.006
- Published
- 2017-12
- Container
- Forest Ecology and Management
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.foreco.2017.10.006,
title = {Modeling forest site productivity using mapped geospatial attributes within a South Carolina Landscape, USA},
author = {B.R. Parresol and D.A. Scott and S.J. Zarnoch and L.A. Edwards and J.I. Blake},
year = {2017},
journal = {Forest Ecology and Management},
doi = {10.1016/j.foreco.2017.10.006},
url = {https://doi.org/10.1016/j.foreco.2017.10.006}
}RIS
TY - JOUR TI - Modeling forest site productivity using mapped geospatial attributes within a South Carolina Landscape, USA AU - B.R. Parresol AU - D.A. Scott AU - S.J. Zarnoch AU - L.A. Edwards AU - J.I. Blake PY - 2017 JO - Forest Ecology and Management DO - 10.1016/j.foreco.2017.10.006 UR - https://doi.org/10.1016/j.foreco.2017.10.006 ER -
APA
Parresol, B., Scott, D., Zarnoch, S., Edwards, L., & Blake, J. (2017). Modeling forest site productivity using mapped geospatial attributes within a South Carolina Landscape, USA. Forest Ecology and Management. https://doi.org/10.1016/j.foreco.2017.10.006
Source records
- crossref · retrieved 2026-11-10T12:44:41.019Z