Sangam: A Confluence of Knowledge Streams

Determination of Fertility Rating (FR) in the 3-PG Model for Loblolly Pine Plantations in the Southeastern United States Based on Site Index

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dc.contributor Forest Resources and Environmental Conservation
dc.creator Subedi, Santosh
dc.creator Fox, Thomas R.
dc.creator Wynne, Randolph H.
dc.date 2017-09-20T18:23:12Z
dc.date 2017-09-20T18:23:12Z
dc.date 2015-08-28
dc.date 2017-09-20T18:23:12Z
dc.date.accessioned 2023-03-01T18:54:11Z
dc.date.available 2023-03-01T18:54:11Z
dc.identifier Subedi, S.; Fox, T.R.; Wynne, R.H. Determination of Fertility Rating (FR) in the 3-PG Model for Loblolly Pine Plantations in the Southeastern United States Based on Site Index. Forests 2015, 6, 3002-3027.
dc.identifier http://hdl.handle.net/10919/79249
dc.identifier https://doi.org/10.3390/f6093002
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/281802
dc.description Soil fertility is an important component of forest ecosystems, yet evaluating soil fertility remains one of the least understood aspects of forest science. We hypothesized that the fertility rating (FR) used in the model 3-PG could be predicted from site index (SI) for loblolly pine in the southeastern US and then developed a method to predict FR from SI to test this hypothesis. Our results indicate that FR values derived from SI when used in 3-PG explain 89% of the variation in loblolly pine yield. The USDA SSURGO dataset contains SI values for loblolly pine for the major soil series in most of the counties in the southeastern US. The potential of using SI from SSURGO data to predict regional productivity of loblolly pine was assessed by comparing SI values from SSURGO with field inventory data in the study sites. When the 3-PG model was used with FR values derived using SI values from SSURGO database to predict loblolly pine productivity across the broader regions, the model provided realistic outputs of loblolly pine productivity. The results of this study show that FR values can be estimated from SI and used in 3-PG to predict loblolly pine productivity in the southeastern US.
dc.description Published version
dc.format application/pdf
dc.format application/pdf
dc.language en
dc.publisher MDPI
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.subject soil fertility
dc.subject process-based models
dc.subject LAI
dc.subject regional productivity estimation
dc.title Determination of Fertility Rating (FR) in the 3-PG Model for Loblolly Pine Plantations in the Southeastern United States Based on Site Index
dc.title Forests
dc.type Article - Refereed
dc.type Text


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