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8,682 full-text articles. Page 146 of 146.

Mp761: Considerations And Recommendations For Retaining Woody Biomass On Timber Harvest Sites In Maine, Jeffrey G. Benjamin 2010 The University of Maine

Mp761: Considerations And Recommendations For Retaining Woody Biomass On Timber Harvest Sites In Maine, Jeffrey G. Benjamin

Miscellaneous Publications

This report and associated guidelines focus on the amount and type of woody biomass that should be retained in the forest after a harvest operation to protect soil productivity, water quality, and site-level biodiversity. Woody biomass, defined from a forest operations perspective, is comprised of logging residues, previously unmerchantable stems, and other such woody material harvested directly from the forest typically for the purposes of energy production. In the broadest sense woody biomass is the total mass of roots, stem, branches, bark and leaves of all tree and shrub species (live and dead) in the forest. Under the broad definition ...


Estimation Of Effective Plant Area Index For South Korean Forests Using Lidar System, D. A. Kwak, W. K. Lee, Menas Kafatos, Y. Son, H. K. Cho, S. H. Lee 2010 Korea University

Estimation Of Effective Plant Area Index For South Korean Forests Using Lidar System, D. A. Kwak, W. K. Lee, Menas Kafatos, Y. Son, H. K. Cho, S. H. Lee

Mathematics, Physics, and Computer Science Faculty Articles and Research

Light Detection and Ranging (LiDAR) systems can be used to estimate both vertical and horizontal forest structure. Woody components, the leaves of trees and the understory can be described with high precision, using geo-registered 3D-points. Based on this concept, the Effective Plant Area Indices (PAIe) for areas of Korean Pine (Pinus koraiensis), Japanese Larch (Larix leptolepis) and Oak (Quercus spp.) were estimated by calculating the ratio of intercepted and incident LIDAR laser rays for the canopies of the three forest types. Initially, the canopy gap fraction (GLiDAR) was generated by extracting the LiDAR data reflected from the canopy surface, or ...


Robert Edward Tucker, Sr. Papers, Zach S. Henderson Library Special Collections 2010 Georgia Southern University

Robert Edward Tucker, Sr. Papers, Zach S. Henderson Library Special Collections

Finding Aids

This collection consists of Robert Edward Tucker, Sr.’s ornithology field notes and journals concerning observations in the Chatham County area & the Georgia coastal islands. Most materials are handwritten and include daily observations from 1984-1997.

Find this collection in the University Libraries' catalog.


Gis @ Ut Libraries, Allison Roberts 2009 University of Tennessee - Knoxville

Gis @ Ut Libraries, Allison Roberts

Allison Roberts

Information handout/poster for GIS services at UT


Wind Energy Glossary: Technical Terms And Concepts, Erik Edward Nordman 2009 Grand Valley State University

Wind Energy Glossary: Technical Terms And Concepts, Erik Edward Nordman

Erik Edward Nordman

The terms in this glossary are organized into three sections: (1) Electricity Transmission Network; (2) Wind Turbine Components; and (3) Wind Energy Challenges, Issues and Solutions.


The Effects Of The 1996 U.S.-Canada Softwood Lumber Agreement On The Industrial Users Of Lumber: An Event Study, Nisha Malhotra, Sumeet Gulati 2009 University of British Columbia

The Effects Of The 1996 U.S.-Canada Softwood Lumber Agreement On The Industrial Users Of Lumber: An Event Study, Nisha Malhotra, Sumeet Gulati

Nisha Malhotra

In this article, we analyze whether the Softwood Lumber Agreement between the United States and Canada imposed significant economic costs on industries that use softwood lumber in the United States. To ascertain this impact, we use an event study. Our event study analyzes variations in the stock prices of lumber-using firms listed at the major stock markets in the United States. We find that the news of events leading to the Softwood Lumber Agreement had significant negative impacts on the stock prices of industries using softwood lumber. The average reduction of stock prices for our sample of firms was approximately ...


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