Rating East Texas Stands for Southern Pine Beetle Susceptibility

Hicks, Ray R.; Howard, James E.; Watterston, K. G.; Coster, Jack E.

doi:10.1093/sjaf/5.1.7

Cited by 3 publications

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“…The photo-interpretable site/stand factors of host type, percent pine coverage, percent pine crown closure and landform that serve to distinguish high from non-high hazard grid blocks in the present analysis reflect host conditions known to characterize individual high hazard pine stands (MASON COSTER and SEARCY 1981;HICKS et al 1981). Thus, the hazard level for a given grid block appears directly correlated with the abundance of susceptible stands within the grid block, but not necessarily solely with the preponderance of a single site/stand factor such as host type or bottomland.…”

Section: :mentioning

confidence: 89%

“…Once high hazard grid blocks are recognized from current resource photography, detailed mapping and hazard rating of individual stands within these grid blocks can be conducted, utilizing remote sensing methods described by MASON et al (1980), MASON and BRYANT (1983) or conventional ground-level approaches (KUSHMAUL et al 1979;HICKS et al 1981). In turn, these grid blocks can be targeted for accelerated timber harvesting or silvicultural treatments (BELANGER and MALAC 1980) to reduce the hazard level.…”

Section: :mentioning

confidence: 99%

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Developing a system for mapping the abundance and distribution of southern pine beetle habitats in east Texas¹

Billings

Bryant

1983

Zeitschrift für Angewandte Entomologie

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A practical system for mapping the abundance and distribution of suitable habitat for the southern pine beetle on a large‐area basis has been developed for application to all commercial pine forests of east Texas. A discriminant analysis was utilized to categorize 90 grid blocks (7200 ha each) having high versus low incidence of beetle infestations, based on differences in gross stand and site factors. The incidence of bark beetle infestations in a given grid block during the 5‐year period 1973–1977, obtained from computerized historical records, was used as the independent variable in the discriminant analysis. Categorical dichotomous classifications of percent pine, crown closure, age class and landform, obtained by sampling 1974 small scale color infrared photography of infested grid blocks, served as dependent variables. Fifty additional grid blocks were used to validate the discriminant equation. By applying this procedure to up‐dated resource photography, individual grid blocks can be periodically hazard rated and ranked, based on current susceptibility to beetle infestations. This area‐wide hazard rating system provides a useful means to monitor the current status of forest conditions in the state and to predict the probable location and magnitude of future southern pine beetle outbreaks. Once high hazard grid blocks are identified, individual pine stands within these grid blocks can be delineated and hazard rated in greater detail. The abundance of favorable habitats then can be reduced via silvicultural manipulations or harvest cuts as an integral part of long‐range forest management planning. Zusammenfassung Habitate des Kiefernborkenkäfers Dendroctonus frontalis in Ost‐Texas: Entwicklung eines Systems zur Kartierung ihrer Häfigkeit und Verbreitung Ein praxisnahes System zur Kartierung der Habitate des Kiefernborkenkäfers Dendroctonus frontalis in den bewirtschafteten Kiefernwäldern von Ost‐Texas wurde mittels einer Diskriminanznalyse entwickelt. Hierzu wurden insgesamt 90 Flächenquadrate von je 7200 ha auf Grund von Bestandes‐ und Standortsmerkmalen einer von zwei Gruppen mit hohem bzw. geringem Auftreten von Käferbefall zugeordnet. Als Gruppenvariable diente die Befallsgeschichte 1973–1977, als allgemeine Variablen Kiefernanteil, Kronenschluß, Altersklasse und Geländeaus‐formung. 50 weitere Flächenquadrate wurden zur Überprüfung der Diskriminanzfunktion einbezogen. Bei Verwendung jeweils neuer Luftbildaufnahmen können mit diesem Verfahren einzelne Flächenquadrate in gewissen Zeitabständen erneut entsprechend der jeweiligen Anfälligkeit der Bestände gegen Käferbefall klassifiziert werden. Diese großflächige Klassifizierung erlaubt die Vorhersage und Abgrenzung zuküntiger Massenvermehrungen von D. frontalis und ermöglicht so, rechtzeitig gezielte Maßnahmen zu ihrer Begrenzung zu ergreifen.

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Section: :mentioning

confidence: 89%

Section: :mentioning

confidence: 99%

Developing a system for mapping the abundance and distribution of southern pine beetle habitats in east Texas¹

Billings

Bryant

1983

Zeitschrift für Angewandte Entomologie

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“…(1983) experimentally manipulated stand conditions by thinning and stressing trees, and have shown that tree vigor and thus resistance to bark beetles can be improved. Hazard rating systems have been developed for southern pine ecosystems based on the premise that site and stand conditions affect the probability of successful southern pine beetle infestation (Ku et al 1980;LORIO and SOMMERS 1980;BELANGER et al 1981 ;MASON et al 1981 ;HICKS et al 1981).…”

Section: Reduction In Adult Reenerqencementioning

confidence: 99%

Understanding bark beetle/host interactions: A means for improving decision strategies¹

Stephen

Paine

Lih

1983

Zeitschrift für Angewandte Entomologie

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Improved decision‐making capabilities are an important goal in pest management. The need to more fully understand bark beetle/host tree interactions and how this knowledge can be linked to better prediction of Dendroctonus frontalis infestation growth is discussed. The properties of pines which confer resistance to D. frontalis, a primary resin system and hypersensitive tissue response, must be correlated with bark beetle attack success, production and mortality rates. To use information in a management oriented predictive model, resistance properties must also be correlated to easily measurable tree and/or stand characters, which can be used to reparameterize model rates, resulting in improved predictions over a variety of site and stand conditions, thus leading to better management decisions. Zusammenfassung Kenntnis der Wechselwirkungen zwischen Borkenkäfern und ihren Wirtsbäumen zur Entwicklung verbesserter Entscheidungsstrategien Verbesserung der Entscheidungsgrundlagen sind ein wichtiges Ziel des Pest Management. Ein besseres Verständnis der Wechselwirkungen zwischen Borkenkäfern und ihren Wirtsbäumen kann genauere Vorhersagen der Befallsentwicklung ermöglichen; dies wird am Beispiel von Dendroctonus frontalis diskutiert. Die Eigenschaften des Harzkanalsystems und die Wundharzbildung, welche die Resistenz der Wirtskiefern begründen, können mit Befallserfolg, Bruterfolg und Mortalität der Borkenkäfer in Beziehung gesetzt werden. Für ein nützliches, praxisorientiertes Vorhersagemodell müssen die Resistenzeigenschaften darüber hinaus mit leicht meßbaren Baum‐und Bestandsmerkmalen korreliert werden, mit denen die bestehenden Modellansätze für eine Vielzahl von Standorts‐ und Bestandeseigenschaften verbesserte Vorhersagen und damit Entscheidungsgrundlagen für die Praxis liefern können.

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Biotic Agents of Stress in the South

Meadows¹,

Hodges²

1996

Ecological Studies

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Rating East Texas Stands for Southern Pine Beetle Susceptibility

Cited by 3 publications

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Developing a system for mapping the abundance and distribution of southern pine beetle habitats in east Texas¹

Developing a system for mapping the abundance and distribution of southern pine beetle habitats in east Texas¹

Understanding bark beetle/host interactions: A means for improving decision strategies¹

Biotic Agents of Stress in the South

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Rating East Texas Stands for Southern Pine Beetle Susceptibility

Cited by 3 publications

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Developing a system for mapping the abundance and distribution of southern pine beetle habitats in east Texas1

Developing a system for mapping the abundance and distribution of southern pine beetle habitats in east Texas1

Understanding bark beetle/host interactions: A means for improving decision strategies1

Biotic Agents of Stress in the South

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Product

Resources

About

Developing a system for mapping the abundance and distribution of southern pine beetle habitats in east Texas¹

Developing a system for mapping the abundance and distribution of southern pine beetle habitats in east Texas¹

Understanding bark beetle/host interactions: A means for improving decision strategies¹