Status of growth and yield research: 1991 joint technical session of forest measurements, tree improvement and silviculture, and forest management working groups

1992 ◽  
Vol 68 (3) ◽  
pp. 342-348
Author(s):  
Valerie M. LeMay ◽  
Peter L. Marshall ◽  
Richard Greenwood ◽  
Margaret Penner ◽  
Doug Walker
Forests ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 609
Author(s):  
Suborna Ahmed ◽  
Valerie LeMay ◽  
Alvin Yanchuk ◽  
Andrew Robinson ◽  
Peter Marshall ◽  
...  

Tree improvement programs can improve forest management by increasing timber yields in some areas, thereby facilitating conservation of other forest lands. In this study, we used a meta-analytic approach to quantify yields of alternative white (Picea glauca (Moench) Voss) and hybrid spruce (Picea engelmannii Parry ex Engelmann x Picea glauca (Moench) Voss) stocks across planting sites in the boreal and hemiboreal forests of Canada. We extracted meta-data from published tree improvement program results for five Canadian provinces covering 38 planting sites and 330 white and hybrid spruce provenances. Using these meta-data and a random-coefficients nonlinear mixed-effects modelling approach, we modelled average height over time trajectories for varying planting site characteristics, as well as climate transfer distances between planting sites and provenances. Climatic transfer distances had strong effects on the height trajectory parameters. In particular, the asymptote parameter had a nonlinear increasing trend with planting site versus provenance mean annual temperature differences. We incorporated the height trajectory meta-analysis model into an existing growth and yield model to predict volume yields. Overall, this research provides a mechanism to quantify yields of alternative provenances at a particular planting site, as a component of decision support models for evaluating evaluate forest management investment into improved planting stocks alternatives under current and possible future climates.


1992 ◽  
Vol 68 (6) ◽  
pp. 752-756

This fourth annual overview of Canadian forest research priorities has been compiled by the Forestry Research Advisory Council of Canada (FRACC) for the Canadian Council of Forest Ministers. It is based on the top five priorities for forest research as identified by the provincial forest research advisory bodies.The topics from each group were scored on a scale of 5 points for top priority down to 1 point for lowest priority. The resulting 10 forest research topics are presented here in descending order of priority:• Integrated resource management and decision support.• Pest and weed management and alternatives to chemicals.• Environmental effects of forest management.• Ecological knowledge for intensive forest management.• Forest growth and yield data.• Increased productivity, tree improvement, and regeneration.• Forest inventory and site classification.• Silviculture and harvesting methods, and cost reduction.• Forest fire management and control.• Mixedwood management.Research on wood processing and development of new products was also recognized as important, but it is not the primary focus of FRACC and hence was not rated. Modern information handling systems, artificial intelligence, and biotechnology were also judged important, but these are research tools rather than forest research topics and were not rated.The evolution of priorities over the four years of reporting was examined. A strict comparison was not possible because the methods of the first two reports differed from those of the last two. However, it was possible to assign a general priority rating (high, medium, etc.) for the earlier years for the priority topics identified in this current report.No dramatic shifts were detected. "Integrated resource management and decision support" remains high priority. It is significant that three subjects, all bearing on the environment, have moved up in priority and are now rated 2, 3, and 4. These topics are "Pest and weed management and alternatives to chemicals"; "Environmental effects of forest management"; and "Ecological knowledge for intensive forest management.'' "Silviculture and harvesting methods, and cost reduction" has also moved up whereas two topics, "Forest growth and yield data" and "Higher productivity, tree improvement, and regeneration" have moved down. Other items have not changed appreciably. Research priorities do not seem to be changing faster than research agencies can adapt to them.Twelve issues that are likely to affect future research priorities were identified as follows:• Concern and input about sustainable forestry and the environment.• Managing non-timber values and a shrinking timber land base.• Global trade, competition, and world public opinion.• Under-funding and phase-out of federal-provincial agreements.• Accuracy of forest models for sustainable forestry.• Lack of data on the socio-economic values of forests.• Land claims and forestry on aboriginal lands.• Intensive management of the boreal mixedwood forest.• Economics of secondary forest products industry.• Increasing need for accurate information at all levels.• New provincial policies on forestry and forest protection.• Farm forestry for wood and shelterbelts.Research funding varies greatly across the country. Funds provided through the federal-provincial agreements are vital everywhere. Under-funded subjects are listed below; they are ranked by the ratio on the right, which represents the number of jurisdictions that classified the topic as under-funded over the number that identified it as a priority.Pest and weed management and alternatives to chemicals 4/7Environmental effects of forest management 3/6Ecological knowledge for intensive forest management 2/4Forest growth and yield data 2/4Forest fire management and control 2/4Integrated resource management and decision support 4/10Forest inventory and site classification 1/3Silviculture and harvesting methods, and cost reduction 1/3Increased productivity, tree improvement, and regeneration 1/5Mixedwood management 0/1Forestry research in Canada is considered well focused on requirements, but improvement is needed in the local application of research results.


1989 ◽  
Vol 13 (1) ◽  
pp. 51-56 ◽  
Author(s):  
G. R. Hodge ◽  
T. L. White ◽  
G. L. Powell ◽  
S. M. De Souza

Abstract Gains over unimproved seed for progeny from first generation--un-rogued, first generation--rogued, and one and one-half generation orchards of slash pine (Pinus elliottii var. elliottii) for individual tree volume at 15 years are predicted to be 10%, 15%, and 19%, respectively. Rustinfection of orchard progeny on sites where unimproved material incurs 50% infection are predicted to be 49%, 41%, and 35% for the three orchard types. Using a growth and yield model that incorporates fusiform rust, gains in individual tree volume and increased rust resistance were combinedto estimate effects on per acre yields. Percent volume per acre gains are predicted to be 7.0%, 13.2%, and 18.0% for the three orchard types. Collection and deployment of the most rust resistant seed to high rust hazard sites raises the gain on these sites and becomes increasingly beneficialas the rust hazard increases. South. J. Appl. For. 13(1): 51-56.


2006 ◽  
Vol 86 (Special Issue) ◽  
pp. 219-233 ◽  
Author(s):  
E. T. Neilson ◽  
D. A. MacLean ◽  
P. A. Arp ◽  
F. -R. Meng ◽  
C. P-A. Bourque ◽  
...  

Carbon (C) dynamics and forest management have become integrated in recent years, largely due to the Kyoto Protocol stipulating that forest C changes may be accountable in an emissions framework. A C stock modeling framework for forest managers is introduced in this paper. Empirical growth and yield models are used to develop sustainable timber supply for forest companies. These models use linear programming to solve the complex mathematical problem of timing and allocation of forest harvest and silviculture interventions. In this paper, we evaluated the effects of “business as usual”forest management versus management objectives to maximize C sequestration. Goal programming was used to minimize the deviation of two goals for C forest management: maximizing C in the forest, and maximizing the return on investment (net present value of forest timber products). Species-specific wood-to-C content conversion factors were used to parameterize the amount of C in forest stands on Canadian Forces Base Gagetown forest lands in New Brunswick, Canada. Goal programming reduced the loss of revenue associated with increasing C stocks in the forest. Partial harvesting and high valued end-products tended to increase C stocks and provided a higher return on investment in the simulations. Key words: Carbon stock modeling framework, forest, goal programming, partial harvesting, timber supply


2002 ◽  
Vol 78 (6) ◽  
pp. 822-829 ◽  
Author(s):  
Daniel W Gilmore ◽  
Andrew J David

European larch (Larix decidua Miller) was introduced to North America in the mid-19th century. Its rapid growth led to its use as a reforestation species in northeastern North America during the early part of the 20th century. Proper site selection and vegetation management are crucial to the successful establishment and productivity of this species. On comparable sites, yields of European larch commonly exceed those of native species. Management practices and applied research for this species in North America include the refinement of 1) site selection criteria, 2) growth and yield tables, and 3) optimal density management and stocking levels, 4) product utilization and marketing, and 5) the advancement of tree improvement programs. Key words: growth and yield, productivity, silviculture, tree improvement


2011 ◽  
Vol 54 (1) ◽  
pp. 28-36 ◽  
Author(s):  
Henn Korjus ◽  
Priit Põllumäe ◽  
Siim Rool

Abstract. Estonian forest management is based traditionally on long rotations. Recent trends in wood industry and wood consumption promote also production of small-size timber for bioenergy and timber products. This opens a discussion about shorter rotations and intensive forest management again in Estonia. In current study, profitability of Scots pine, Norway spruce and silver birch stand management on fertile soils was analyzed according to three different rotation lengths: traditional long rotation, short rotation and economically optimal rotation according Finnish TAPIO rules. Stand simulation software MOTTI was used to simulate and optimize forest growth and management. Simulation results were compared with actual data on forest growth and yield in Estonia. Economically optimal rotations were for Scots pine stand 58 years, Norway spruce stand 53 years and silver birch stand 41 years. Short and optimal rotation length enable 5.9-6.5% profitability for forest owner, traditional long rotation length enables 4.8-5.4% profitability. Rotation forestry is challenging task. Based on our analysis, it is likely that applied practices can intensify wood production and reduce forest management risks. However, theoretical approach is not enough for assessing practical feasibility of short rotations. Thus further studies and experiments are needed for careful analysis and recommendations


1985 ◽  
Vol 61 (2) ◽  
pp. 146-149
Author(s):  
Hal Salwasser

Integrating wildlife habitat concerns into multiple-use forest management requires four things: 1) the right attitude, 2) a process for systematic resource coordination, 3) models that relate forest conditions to wildlife outputs, and 4) the effective use of monitoring to support an adaptive management strategy. These four things reflect that resource managers must first want to make forestry-wildlife coordination work, that they need a mechanism for doing it, that they need habitat criteria for meeting wildlife goals, and that we only know enough at this time to get pointed in the right direction.Comprehensive goals for timber and wildlife are set early in successful forestry-wildlife integration. The goals provide for maintaining habitat and wildlife diversity while simultaneously producing consumable surpluses of timber and game in relation to demands for those products. Comprehensive inventories and vegetation growth and yield models are used to analyze the current management situation and show the need for actions to meet goals. The wildlife yield models are species-habitat relationships functions that relate habitat conditions to wildlife outputs by species. The management plan developed constitutes a coordinated set of resource objectives and the schedule of practices that will achieve them in an efficient way. Monitoring the effects of the practices is used to learn whether assumptions and models used in planning need to be revised, and whether the course of management needs to be adjusted to meet the goals. Key words: Forest management, Wildlife management, integration, Wildlife habitat, Multiple use planning.


2002 ◽  
Vol 78 (5) ◽  
pp. 672-679 ◽  
Author(s):  
Werner A Kurz ◽  
Mike Apps ◽  
Ed Banfield ◽  
Graham Stinson

Canada’s forests play an important role in the global carbon (C) cycle. Forest management activities, implemented at the operational scale, can have a significant impact on the C budget of Canada’s forests. With the increasing national and international recognition that forest management activities can contribute to national C sources and sinks, forest managers could benefit from having a scientifically credible tool to assess the potential impacts of alternate management activities on the C stocks and stock changes on their land base. Such a tool must incorporate the best available science, be compliant with evolving international accounting rules and have enough flexibility to address the types of scenarios and management questions that are of interest to forest managers. To be cost effective and efficient for use by forest managers, the tool should make use of existing information on inventory, growth and yield, and disturbances that their analysts routinely use in their forest management planning activities. The readily available information must be augmented with additional data and modelling to estimate changes in those C pools that are not commonly included in forest inventories, such as carbon in the dead organic matter associated with litter, coarse woody debris and soil C. Building upon the past decade of work in the development and application of the C Budget Model of the Canadian Forest Sector (CBM-CFS2), the Canadian Forest Service C Accounting Team is now working with the Model Forest Network to develop, test and deliver an operational scale C accounting tool and its supporting databases with regional parameter values. When fully developed (2004), the operational model will be made available without charge to anyone interested in using it to estimate landscape level forest C stocks and C stock changes. Expertise developed within the extensive network of Model Forests and their partners in Canada will facilitate technology transfer and training of the larger user community. The tools and the technology transfer program will empower forest managers to include considerations of the impacts of the planned activities on forest C stocks. This will increase the potential use of forests and forest management activities in contributing towards a greenhouse gas emission reduction strategy. Key words: carbon cycle, carbon accounting, forest management, operational scale, land-use change, model forests, CBM-CFS2


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