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Keyword: sample design

Sampling Using a Fixed Number of Trees Per Plot

Publications Posted on: May 12, 2016
The fixed number of trees sample design proposed by Jonsson and others (1992) may be dangerous in applications if a probabilistic framework of sampling is desired. The procedure can be seriously biased. Examples are given here.Publication Web Site:http://www.fs.fed.us/rm/pubs/rmrs_rn017.html

Pennsylvania's Forests, 2009

Publications Posted on: August 14, 2013
The second full annual inventory of Pennsylvania's forests reports a stable base of 16.7 million acres of forest land. Northern hardwoods and mixed-oak forest-type groups account for 54 and 32 percent of the forest land, respectively. The State's forest land averages about 61 dry tons of wood per acre and almost 6,500 board feet (International ¼-inch rule) per acre on timberland.

Why sampling scheme matters: the effect of sampling scheme on landscape genetic results

Publications Posted on: September 02, 2008
There has been a recent trend in genetic studies of wild populations where researchers have changed their sampling schemes from sampling pre-defined populations to sampling individuals uniformly across landscapes. This reflects the fact that many species under study are continuously distributed rather than clumped into obvious "populations".

How To ... Guide

Publications Posted on: August 02, 2006
This is probably the most critical phase of FIREMON sampling because this plot ID must be unique across all plots that will be entered in the FIREMON database. The plot identifier is made up of three parts: Registration Code, Project Code, and Plot Number.

Fire Behavior (FB)

Publications Posted on: August 02, 2006
The Fire Behavior (FB) method is used to describe the behavior of the fire and the ambient weather and fuel conditions that influence the fire behavior. Fire behavior methods are not plot based and are collected by fire event and time-date. In general, the fire behavior data are used to interpret the fire effects documented in the plot-level sampling.

Metadata (MD)

Publications Posted on: August 02, 2006
The Metadata (MD) table in the FIREMON database is used to record any information about the sampling strategy or data collected using the FIREMON sampling procedures. The MD method records metadata pertaining to a group of FIREMON plots, such as all plots in a specific FIREMON project. FIREMON plots are linked to metadata using a unique metadata identifier that is entered in the MD table and in the PD data for each FIREMON plot.

Analysis Tools (AT)

Publications Posted on: August 02, 2006
The FIREMON Analysis Tools program is designed to let the user perform grouped or ungrouped summary calculations of single measurement plot data, or statistical comparisons of grouped or ungrouped plot data taken at different sampling periods. The program allows the user to create reports and graphs, save and print them, or cut and paste them into a word processor.

FIREMON Database

Publications Posted on: August 02, 2006
The FIREMON database software allows users to enter data, store, analyze, and summarize plot data, photos, and related documents. The FIREMON database software consists of a Java application and a Microsoft® Access database. The Java application provides the user interface with FIREMON data through data entry forms, data summary reports, and other data management tools.

Landscape Assessment (LA)

Publications Posted on: August 02, 2006
Landscape Assessment primarily addresses the need to identify and quantify fire effects over large areas, at times involving many burns. In contrast to individual case studies, the ability to compare results is emphasized along with the capacity to aggregate information across broad regions and over time. Results show the spatial heterogeneity of burns and how fire interacts with vegetation and topography.

Rare Species (RS)

Publications Posted on: August 02, 2006
The FIREMON Rare Species (RS) method is used to assess changes in uncommon, perennial plant species when other monitoring methods are not effective. This method monitors individual plants and statistically quantifies changes in plant survivorship, growth, and reproduction over time. Plants are spatially located using distance along and from a permanent baseline, and individual plants are marked using a permanent tag.

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