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Full-Text Articles in Forest Sciences
Small Area Estimation Of County-Level Forest Attributes Using Forest Inventory Data And Remotely Sensed Auxiliary Information, Okikiola Michael Alegbeleye
Small Area Estimation Of County-Level Forest Attributes Using Forest Inventory Data And Remotely Sensed Auxiliary Information, Okikiola Michael Alegbeleye
Theses and Dissertations
The Forest Inventory and Analysis (FIA) program of the United States Department of Agriculture Forest Service collects forest inventory data that provide estimates with reasonable accuracy at the national scale. However, for smaller domains, these estimates are often not as accurate due to the small sample size. Small area estimation improves the accuracy of the estimates at smaller domains by relying on auxiliary information. This study compared direct (FIA estimates), indirect (multiple linear regression), and composite estimators (Fay-Herriot) using auxiliary information derived from Landsat and Global Ecosystem Dynamics Investigation (GEDI) to obtain county-level estimates of forest attributes namely total and …
Climate Sensitive Diameter Growth Models For Major Tree Species In Mississippi, Sujan Subedi
Climate Sensitive Diameter Growth Models For Major Tree Species In Mississippi, Sujan Subedi
Theses and Dissertations
Anticipated climate change and increasing wood demand require dependable diameter growth models for adaptive forest management. We used a mixed-effects modeling approach with Forest Inventory and Analysis (FIA) data to fit diameter growth models for loblolly pine, other softwood species (slash pine, shortleaf pine, and longleaf pine), sweetgum, and other hardwood (southern red oak, red maple, and water oak) species. Climatic variables coupled with individual tree attributes and competition factors improved climate insensitive models. Growth of loblolly pine and sweetgum was positively correlated with mean temperature of the coldest month. Mean temperature of the warmest month negatively influenced diameter growth …