scholarly journals Effects on Global Forests and Wood Product Markets of Increased Demand for Mass Timber

2021 ◽  
Vol 13 (24) ◽  
pp. 13943
Author(s):  
Prakash Nepal ◽  
Craig M. T. Johnston ◽  
Indroneil Ganguly

This study evaluated the effects on forest resources and forest product markets of three contrasting mass timber demand scenarios (Conservative, Optimistic, and Extreme), up to 2060, in twelve selected countries in Asia, Europe, North America, and South America. Analyses were carried out by utilizing the FOrest Resource Outlook Model, a partial market equilibrium model of the global forest sector. The findings suggest increases in global softwood lumber production of 8, 23, and 53 million m3 per year by 2060, under the Conservative, Optimistic, and Extreme scenarios, respectively, leading to world price increases of 2%, 7%, and 23%, respectively. This projected price increase is relative to the projected price in the reference scenario, altering prices, production, consumption, trade of forest products, timber harvest, forest growth, and forest stock in individual countries. An increase in softwood lumber prices due to increased mass timber demand would lead to the reduced consumption of softwood lumber for traditional end-use (e.g., light-frame construction), suggesting a likely strong market competition for softwood lumber between the mass timber and traditional construction industries. In contrast, the projected effect on global forest stock was relatively small based on the relatively fast projected biomass growth in stands assumed to be regenerated after harvest.

2021 ◽  

Abstract Because of the long-standing Canada-United States lumber trade dispute and the current pressure on the world's forests as a renewable energy source, much attention has been directed toward the modelling of international trade in wood products. Two types of trade models are described in this book: one is rooted in economic theory and mathematical programming, and the other consists of two econometric/statistical models--a gravity model rooted in theory and an approach known as GVAR that relies on time series analyses. The purpose of the book is to provide the background theory behind models and enable readers to easily construct their own models to analyze policy questions, whether in forestry or another sector. Examples in the book illustrate how models can be used to say something about a variety of issues, including identification of the gains and losses to various players in the North American softwood lumber business, and the potential for redirecting sales of lumber to countries outside the United States. The discussion is expanded to include other products besides lumber, and used to examine, for example, the effects of log export restrictions by one naton on all other forestry jurisdictions, the impacts of climate policies as they relate to the global forest sector, and the impact of oil prices on forest product markets throughout the world.


2005 ◽  
Vol 35 (1) ◽  
pp. 215-220 ◽  
Author(s):  
Richard C Stedman ◽  
John R Parkins ◽  
Thomas M Beckley

The forest products sector is a major employer in much of rural Canada, and it is often assumed by policy makers that increased timber harvest is a viable means of rural economic development. Despite burgeoning research in the United States, relatively little attention has focused on the relationship between forest dependence and well-being in rural Canada. Especially lacking are macrocomparisons of regions and of forest sectors. This note presents an overview of the relationship between forest dependence and well-being in Canada. Analysis of 1996 Statistics Canada data revealed a great deal of variation in the effect of forest dependence on indicators of well-being (e.g., human capital, unemployment, income): some sectors had fairly positive outcomes (e.g., pulp and paper); others had more negative outcomes (e.g., logging). These relationships, however, vary a great deal by region, suggesting the need for more mid-range explanatory models that incorporate the particulars of place and sector.


Forests ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 592 ◽  
Author(s):  
Robert Jandl ◽  
Thomas Ledermann ◽  
Georg Kindermann ◽  
Alexandra Freudenschuss ◽  
Thomas Gschwantner ◽  
...  

We simulated Austrian forests under different sustainable management scenarios. A reference scenario was compared to scenarios focusing on the provision of bioenergy, enhancing the delivery of wood products, and reduced harvesting rates. The standing stock of the stem biomass, carbon in stems, and the soil carbon pool were calculated for the period 2010–2100. We used the forest growth model Câldis and the soil carbon model Yasso07. The wood demand of all scenarios could be satisfied within the simulation period. The reference scenario led to a small decrease of the stem biomass. Scenarios aiming at a supply of more timber decreased the standing stock to a greater extent. Emphasizing the production of bioenergy was successful for several decades but ultimately exhausted the available resources for fuel wood. Lower harvesting rates reduced the standing stock of coniferous and increased the standing stock of deciduous forests. The soil carbon pool was marginally changed by different management strategies. We conclude that the production of long-living wood products is the preferred implementation of climate-smart forestry. The accumulation of carbon in the standing biomass is risky in the case of disturbances. The production of bioenergy is suitable as a byproduct of high value forest products.


2014 ◽  
Author(s):  
Erik C. Berg ◽  
Charles B. Gale ◽  
Todd A. Morgan ◽  
Allen M. Brackley ◽  
Charles E. Keegan ◽  
...  

2016 ◽  
Author(s):  
Eric A. Simmons ◽  
Micah G. Scudder ◽  
Todd A. Morgan ◽  
Erik C. Berg ◽  
Glenn A. Christensen

2008 ◽  
Author(s):  
Timothy P. Spoelma ◽  
Todd A. Morgan ◽  
Thale Dillon ◽  
Alfred L. Chase ◽  
Charles E. Keegan ◽  
...  

2020 ◽  
Author(s):  
Kate C. Marcille ◽  
Chelsea P. McIver ◽  
Steven W. Hayes ◽  
Todd A. Morgan ◽  
Chris Witt

2018 ◽  
Author(s):  
Chelsea P. McIver ◽  
Colin B. Sorenson ◽  
Todd A. Morgan ◽  
John D. Shaw

Forests ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 91
Author(s):  
R. Dan Seale ◽  
Rubin Shmulsky ◽  
Frederico Jose Nistal Franca

This review primarily describes nondestructive evaluation (NDE) work at Mississippi State University during the 2005–2020 time interval. Overall, NDE is becoming increasingly important as a means of maximizing and optimizing the value (economic, engineering, utilitarian, etc.) of every tree that comes from the forest. For the most part, it focuses on southern pine structural lumber, but other species such as red pine, spruce, Douglas fir, red oak, and white oak and other products such as engineered composites, mass timber, non-structural lumber, and others are included where appropriate. Much of the work has been completed in conjunction with the U.S. Department of Agriculture, Forest Service, Forest Products Laboratory as well as the Agricultural Research Service with the overall intent of improving lumber and wood products standards and valuation. To increase the future impacts and adoption of this NDE-related work, wherever possible graduate students have contributed to the research. As such, a stream of trained professionals is a secondary output of these works though it is not specifically detailed herein.


2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Xia Huang ◽  
James H. Perdue ◽  
Timothy M. Young

A challenge in the development of renewable energy is the ability to spatially assess the risk of feedstock supply to conversion facilities. Policy makers and investors need improved methods to identify the interactions associated with landscape features, socioeconomic conditions, and ownership patterns, and the influence these variables have on the geographic location of potential conversion facilities. This study estimated opportunity zones for woody cellulosic feedstocks based on landscape suitability and market competition for the resource. The study covered 13 Southern States which was a segment of a broader study that covered 33 Eastern United States which also included agricultural biomass. All spatial data were organized at the 5-digit zip code tabulation area (ZCTA). A landscape index was developed using factors such as forest land cover area, net forest growth, ownership type, population density, median family income, and farm income. A competition index was developed based on the annual growth-to-removal ratio and capacities of existing woody cellulosic conversion facilities. Combining the indices resulted in the identification of 592 ZCTAs that were considered highly desirable zones for woody cellulosic conversion facilities. These highly desirable zones were located in Central Mississippi, Northern Arkansas, South central Alabama, Southwest Georgia, Southeast Oklahoma, Southwest Kentucky, and Northwest Tennessee.


Sign in / Sign up

Export Citation Format

Share Document