scholarly journals Assessment of Fire Effects Based on Forest Inventory and Analysis Data and a Long-Term Fire Mapping Data Set

2017 ◽  
Vol 115 (4) ◽  
pp. 258-269 ◽  
Author(s):  
John D. Shaw ◽  
Sara A. Goeking ◽  
James Menlove ◽  
Charles E. Werstak
2019 ◽  
Vol 118 (3) ◽  
pp. 289-306 ◽  
Author(s):  
Zachary Wurtzebach ◽  
R Justin DeRose ◽  
Renate R Bush ◽  
Sara A Goeking ◽  
Sean Healey ◽  
...  

Abstract In 2012, the US Forest Service promulgated new regulations for land-management planning that emphasize the importance of scientifically credible assessment and monitoring strategies for adaptive forest planning and the maintenance or restoration of ecological integrity. However, in an era of declining budgets, the implementation of robust assessment and monitoring strategies represents a significant challenge for fulfilling the intent of the new planning rule. In this article, we explore opportunities for using data and products produced by the USDA Forest Service’s Forest Inventory and Analysis (FIA) Program to support the implementation of the 2012 Planning Rule. FIA maintains a nationally consistent statistical sample of field plots that covers most national forests with hundreds of plots. We suggest that leveraging FIA data and products can generate efficiencies for assessment, planning, and monitoring requirements detailed in the 2012 Planning Rule, and help fulfill the adaptive intent of the new planning rule. However, strong national leadership and investment in regional-level analytical capacity, FIA liaisons, and decision-support tools are essential for systematically realizing the benefits of FIA data for forest planning across the National Forest System.


2014 ◽  
Vol 9 (1) ◽  
Author(s):  
Kristofer D Johnson ◽  
Richard Birdsey ◽  
Andrew O Finley ◽  
Anu Swantaran ◽  
Ralph Dubayah ◽  
...  

1991 ◽  
Vol 8 (2) ◽  
pp. 47-57 ◽  
Author(s):  
Jerold T. Hahn ◽  
Mark H. Hansen

Abstract This paper presents tree volume models developed for major timber species in the Central States (Indiana, Illinois, Missouri, and Iowa). Models for estimating gross tree volume (either cubic foot or board foot International ¼-in. log rule) and percent cull were developed for 23 species or species groups. These models estimate volume based on observed dbh and tree site index. Nonlinear regression techniques were used to fit a Weibull-type function to estimate gross volume with a data set containing observations from more than 50,000 trees measured throughout the region. A simple linear model was used to estimate percent cull in a tree for each of several tree classes. These models are being used in the statewide inventories now underway in Missouri and Iowa and may be used by anyone desiring volume-per-tree estimates that are comparable to USDA Forest Service Forest Inventory and Analysis estimates in these areas. North. J. Appl. For. 8(2):47-57


2020 ◽  
Vol 118 (3) ◽  
pp. 313-323 ◽  
Author(s):  
Coeli M Hoover ◽  
Renate Bush ◽  
Marin Palmer ◽  
Emrys Treasure

Abstract Although many forestry practitioners have a general understanding of the Forest Inventory and Analysis (FIA) program and the type of data collected, most non-expert users of FIA reports and basic data are unlikely to be familiar with the breadth of information available and the many potential uses of the data. We present case studies from three USDA Forest Service regions to highlight a variety of applications of FIA data, from informing the forest plan revision process to supplying managers with timely information on important forest attributes at the stand and landscape scales. These examples illustrate the utility of FIA data in meeting managers’ information needs, the importance of the linkages between research and management throughout the agency, and the role that the FIA program can play in fostering those collaborations.


2017 ◽  
Vol 115 (4) ◽  
pp. 283-291 ◽  
Author(s):  
Robert J. DeRose ◽  
John D. Shaw ◽  
James N. Long

2014 ◽  
Vol 154 ◽  
pp. 61-73 ◽  
Author(s):  
Todd A. Schroeder ◽  
Sean P. Healey ◽  
Gretchen G. Moisen ◽  
Tracey S. Frescino ◽  
Warren B. Cohen ◽  
...  

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