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035 a| (Sirsi) o862167663;

042 a| pcc;

043 a| n-us---;

049 a| ERE#;

074 a| 0083-B (online);

086 0 a| A 13.78:RMRS-RP-102 WWW;

100 1 a| Czaplewski, Raymond L.,e| author.=| ^A434537;

245 10 a| Model-based time-series analysis of FIA panel data absent re-measurements /c| Raymond L. Czaplewski and Mike T. Thompson.;

246 3 a| Model-based time-series analysis of Forest Inventory and Analysis panel data absent re-measurements;

264 1 a| Fort Collins, CO :b| United States Department of Agriculture, Forest Service, Rocky Mountain Research Station,c| 2013.;

300 a| 1 online resource (13 pages) :b| illustrations (some color).;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

490 1 a| Research paper RMRS ;v| RP-102WWW;

500 a| Title from Web page (viewed on Nov. 6, 2013).;

500 a| "May 2013.";

504 a| Includes bibliographical references (page 13).;

520 3 a| An epidemic of lodgepole pine (Pinus contorta) mortality from the mountain pine beetle (Dendroctonus ponderosae) has swept across the Interior West. Aerial surveys monitor the areal extent of the epidemic, but only Forest Inventory and Analysis (FIA) field data support a detailed assessment at the tree level. Dynamics of the lodgepole pine population occur at a more rapid rate than the FIA 10-year re-measurement cycle. A model-based approach links population-level estimates from each annual FIA panel estimate. A simple multivariate model predicts the statewide rates of annual change among live uninfected trees, live infected trees, mortality trees, and standing dead trees. A multivariate weighted sum of panel estimates and model predictions of the same attributes improve estimates for each year. Biological structure incorporated into the model improves logical consistency among the various categories of tree-level estimates and smooths annual fluctuations caused by random sampling error. We present concepts in simple terms and illustrate results with FIA data from 2002 to 2008.;

610 20 a| Forest Inventory and Analysis Program (U.S.)=| ^A613987;

650 0 a| Lodgepole pinex| Diseases and pestsz| United States.=| ^A433518;

650 0 a| Mountain pine beetlez| United States.=| ^A426116;

650 0 a| Time-series analysis.=| ^A7961;

700 1 a| Thompson, Michael T.e| author.=| ^A420604;

710 2 a| Rocky Mountain Research Station (Fort Collins, Colo.),e| issuing body.=| ^A420606;

830 0 a| Research paper RMRSv| RP-102 WWW.=| ^A425304;

856 40 u| https://purl.fdlp.gov/GPO/gpo61610;

949 a| Click on web addressw| ASISh| JOYNER94;

998 a| 3844627;

998 a| u3844627;

596 a| 1;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 3844627-1001l| JNETm| JOYNERr| Ys| Yt| JNE1DOu| 11/20/2015x| EDOCUMENTz| JERESOURCE;

Model-based time-series analysis of FIA panel data absent re-measurements / Raymond L. Czaplewski and Mike T. Thompson.

Author/creator	Czaplewski, Raymond L. author.
Other author	Thompson, Michael T. author.
Other author	Rocky Mountain Research Station (Fort Collins, Colo.), issuing body.
Format	Electronic
Publication	Fort Collins, CO : United States Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2013.
Description	1 online resource (13 pages) : illustrations (some color).
Supplemental Content	https://purl.fdlp.gov/GPO/gpo61610
Subjects	Forest Inventory and Analysis Program (U.S.) Lodgepole pine--Diseases and pests. --United States. Lodgepole pine--Mortality. --Estimates. --United States. --Mathematical models. Tree declines--United States. --Measurement. --Mathematical models. Mountain pine beetle--United States. Time-series analysis.

Variant title	Model-based time-series analysis of Forest Inventory and Analysis panel data absent re-measurements
Series	Research paper RMRS ; RP-102WWW Research paper RMRS RP-102 WWW. ^A425304
Summary	An epidemic of lodgepole pine (Pinus contorta) mortality from the mountain pine beetle (Dendroctonus ponderosae) has swept across the Interior West. Aerial surveys monitor the areal extent of the epidemic, but only Forest Inventory and Analysis (FIA) field data support a detailed assessment at the tree level. Dynamics of the lodgepole pine population occur at a more rapid rate than the FIA 10-year re-measurement cycle. A model-based approach links population-level estimates from each annual FIA panel estimate. A simple multivariate model predicts the statewide rates of annual change among live uninfected trees, live infected trees, mortality trees, and standing dead trees. A multivariate weighted sum of panel estimates and model predictions of the same attributes improve estimates for each year. Biological structure incorporated into the model improves logical consistency among the various categories of tree-level estimates and smooths annual fluctuations caused by random sampling error. We present concepts in simple terms and illustrate results with FIA data from 2002 to 2008.
General note	Title from Web page (viewed on Nov. 6, 2013).
General note	"May 2013."
Bibliography note	Includes bibliographical references (page 13).
GPO item number	0083-B (online)
Govt. docs number	A 13.78:RMRS-RP-102 WWW

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Model-based time-series analysis of FIA panel data absent re-measurements / Raymond L. Czaplewski and Mike T. Thompson.

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