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Wednesday, July 22, 2020 | History

1 edition of Hazard-rating systems in forest insect pest management found in the catalog.

Hazard-rating systems in forest insect pest management

Hazard-rating systems in forest insect pest management

symposium proceedings, Athens, Georgia, July 31-August 1, 1980

  • 312 Want to read
  • 29 Currently reading

Published by U.S. Dept of Agriculture, Forest Service, [1981] in [Washington, D.C.?] .
Written in English

    Subjects:
  • Forest insects -- Biological control -- United States -- Congresses.

  • Edition Notes

    Statementsponsored jointly by the Society of American Foresters, Entomology Working Group, the Forest Service, U.S. Department of Agriculture, and the University of Georgia, Department of Entomology, School of Forest Resources, Center for Continuing Education.
    SeriesGeneral technical report WO -- 27.
    ContributionsUnited States. Forest Service., Society of American Foresters. Entomology Working Group., Georgia Center for Continuing Education., Southern Forest Experiment Station (New Orleans, La.)
    The Physical Object
    Paginationiv, 169 p. :
    Number of Pages169
    ID Numbers
    Open LibraryOL18022663M

    KEYWORDS: southern pine beetle, Landsat ETM, Geographic Information System, hazard rating Read Abstract + The southern pine beetle, Dendroctonus frontalis Zimmermann (Coleoptera: Scolytidae), is the most damaging forest insect pest of pines (Pinus spp.) throughout the southeastern United States. A hazard rating system for Dendroctonus ponderosae damage in lodgepole pine [Pinus contorta] using stand summary information to classify stands into 14 hazard strata (which can then be aggregated into very low, low, moderate and high hazard classes) is described. The system uses stand characteristics (percentage of susceptible pine basal area, density, location and basal area).Cited by: 4.

    In management planning, hazard rating systems are used to quantify risk factors for bark beetle outbreaks. Such systems have been developed for some forest types (e.g. Netherer & Nopp‐Mayr ), but are currently lacking for many others. Developing new hazard rating systems and integrating them with process and empirical models for Cited by: risk and hazard rating systems • providing data to GIS-based pest management decision support systems Fire Fire is an ecological process that governs the composition, distribution, and successional dynamics of vegetation in the landscape (Johnson ). Knowledge of .

    Bark Beetles: Biology and Ecology of Native and Invasive Species provides a thorough discussion of these economically important pests of coniferous and broadleaf trees and their importance in agriculture. It is the first book in the market solely dedicated to this important group of insects, and contains 15 chapters on natural history and ecology, morphology, taxonomy and phylogenetics. Integrated Pest Management – A pest management system that uses all appropriate strategies to reduce pest populations. Pesticide Resistance – The ability of an organism to tolerate a specific pesticide. There are levels of resistance. For example, some insects may be sensi-tive, weakly resistant or strongly resistant to a specific Size: 2MB.


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Hazard-rating systems in forest insect pest management Download PDF EPUB FB2

Download RIS citations. TY - BOOK TI - Hazard-rating systems in forest insect pest management: symposium proceedings, Athens, Georgia, July August 1, /. Download book Download PDF Download All Download JPEG Download Text Hazard-rating systems in forest insect pest management: symposium proceedings, Athens, Georgia, July 31.

Get this from a library. Hazard-rating systems in forest insect pest management: symposium proceedings, Athens, Georgia, July August 1, [United States.

Forest Service.; Society of American Foresters. Entomology Working Group.; Georgia Center for Continuing Education.; Southern Forest Experiment Station (New Orleans, La.);]. Throughout this book I have attempted to develop a general framework H. J.,The influence of red pine site quality on damage by the European pine shoot moth, in: Hazard-Rating Systems in Forest Insect Pest Management, (R.

Hedden, S. Barras, and J. Coster, eds.), U.S. Forest Service, General Technical Report WO, pp. 35–44 Cited by: 1. Hazard-rating systems in forest insect pest management: symposium proceedings, Athens, Georgia, July August 1, / ([Washington, D.C.?]: U.S.

Dept of Agriculture, Forest Service, []), by La.) Southern Forest Experiment Station (New Orleans, Georgia Center for Continuing Education, Society of American Foresters.

Entomology Working. Hazard rating of pine trees from a forest insect pest using artificial neural networks Article in Forest Ecology and Management () February with 17 Reads How we measure 'reads'. Abstract. In the preceding chapter we discussed methods for monitoring ongoing forest insect infestations and for making short-term forecasts.

These procedures address the manager’s concern with current conditions—where damage is occurring at present, how much damage is being done, and whether this damage will increase or decrease in the near by: 1. The influence of red pine site quality on damage by the European pine shoot moth Hazard-rating systems in forest insect pest management R.

Hedden S H J Heikkenen Rating vulnerability of balsam. Forest pests are one of the most important factors disturbing forest ecosystems, by impacting forestry economy, ecosystem services, biodiversity, and sustainable ecosystem management. Monitoring the occurrence of forest pests offers clues to understand their impacts on the forest ecosystem and develop a sustainable ecosystem management strategy.

This special issue is designed to create a Cited by: 1. Hazard-rating systems in forest insect pest management - symposium proceedings, Athens, Georgia, July August 1, () ().jpg 1, × 2,; KB Herbicide and conifer options for reforesting upper slopes in the Cascade Range () ().jpg 2, × 2,; KB.

California. Forest Ecology and Management,pgs 23 Mika, P.G., Heller, R.C. and Stoszek, K.J. Application of Models Developed To Risk Rate Forest Sites and Stands to Douglas-fir Tussock Moth Defoliations.

In Hazard-Rating Systems in Forest Insect Pest Management: Symposium Proceedings, USDA General Technical Report WO Several practical hazard-rating systems have been developed to help managers to prioritize SPB prevention activities.

Thinning and harvesting are extremely important prevention tools since outbreaks are generally less likely in actively managed forests, where management is designed to enhance health and vigor of the residual stand.

These data aid in the identification of areas at risk to various forest insects and diseases because of their ability to identify regions of potential tree stress (see the National Insect and Disease Forest Risk Assessment).

For help with soil taxonomy terminology, please visit NRCS Soil Taxonomy. • Integrated pest management, which employs silvicultural methods and various mechanical, manual, biological, and chemical tools, is the most successful strategy currently available for pest management.

• Introduced insect and disease pests have the potential to permanently alter ecosystems in the South. Forest Pest Management (Spring) (For. ), 3 credits, 3 hours lecture. Integrated pest management of forest insects and diseases with emphasis on ownership and forest dynamics.

Extramural Teaching Dr. Dave's Bugs, Insects for Children ; programs presented nationwide: Entomological Society of America, InsectFile Size: KB.

The southern pine beetle (Dendroctonus frontalis) (SPB) is an eruptive pest of pine forests in the southeastern United us studies have been conducted on the relationships among SPB population dynamics, climatic factors, natural enemies, and competitors, but the influence of changes in forest management through time on SPB activity has received little by: Forest Insect and Disease Identification and Management Training Manual, USDA, Forest Service, R-1, Timber, Coop.

Forestry and Pest Management, Idaho Department of Lands, Bureau of Private Forestry - Insect and Disease Section, Montana Department of State Lands, Division of Forestry Douglas-fir beetle is the most destructive bark beetle attacking Douglas-fir in the Northern Region.

Full text of "Journal of the Entomological Society of British Columbia" See other formats. Approaches to forest insects monitoring and surveillance techniques are reviewed, and management options for controlling damaging forest insects are described.

A comprehensive range of applied methodologies are mentioned, covering monitoring, impact assessment, aerial forest health surveys, hazard rating systems and pest management tactics. An outbreak of the Douglas-fir tussock moth, Orgyia pseudotsugata McDunnough, occurred in the South Platte River drainage on the Pike-San Isabel National Forest in the Colorado Front Range attacking Douglas-fir, Pseudotsuga menziesii (Mirb.) Franco.

Stocking levels, species composition, and tree size in heavily and lightly defoliated stands were by: 1. The Texas Forest Service southern pine beetle control program: analysis of survey and control records to provide a basis for making improved operational decisions.

How to identify common insect associates of the southern pine beetle. 19 p. U.S. Dep. Agric. For. Serv., Agric. Handb. Comb.

For. Pest management systems using synthetic.The chapter is organized according to Fig. 1, which illustrates a process-oriented view of the way in which insect populations cause selective forest the bottom of Fig. 1, insect hazard modelers will recognize the familiar terms “susceptibility” and “vulnerability” as the component factors whose product is the risk or probability of “disturbance” (defined variously.FINDIT, the Forest Insect and Disease Tally System developed in the USA, is an easy-to-use tool for analysing insect and disease population information taken during stand surveys.

Incidence of insects, pathogens, and other biotic and abiotic influences on forest ecosystems are summarized using traditional mensurational measurements. Information is summarized by diameter class, tree species, Cited by: 3.