Susceptibility of ponderosa pine, Pinus ponderosa (Dougl. ex Laws.), to mountain pine beetle, Dendroctonus ponderosae Hopkins, attack in uneven-aged stands in the Black Hills of South Dakota and Wyoming USA

Negrón, José F.; Allen, Kurt K.; Cook, Blaine; Withrow, John R.

doi:10.1016/j.foreco.2007.08.018

Cited by 38 publications

(34 citation statements)

References 24 publications

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“…MPB preferentially attacks the larger diameter trees first in lodgepole pine forests (Safranyik et al 1974, Amman et al 1977, Mitchell and Preisler 1991. In ponderosa pine, however, the preference for attacking the largest trees first has not been confirmed, but over the duration of an outbreak more large trees are attacked , Negrón and Popp 2004, Negrón et al 2008a, Schmid and Mata 2005. All of our study stands had a ponderosa pine QMD Ͼ8.0 in.…”

Section: Discussionmentioning

confidence: 68%

“…(25.4 cm) killed by MPB than thinned stands. Negrón et al (2008a) indicated that similar-sized trees are more likely to be attacked in denser stands and that stands with a higher proportion of basal area in trees Ն10 in. (25.4 cm) are more likely to be attacked.…”

Section: Discussionmentioning

confidence: 99%

“…Blaine Cook (bcook@fs.fed.us), USDA Forest Service, Black Hills National Forest. Kenneth Marchand (kmarchand@fs.fed.us), USDA Forest Service, Black Hills National Forest. Stand-level studies in ponderosa pine have indicated reduced tree mortality levels in lower density stands (Sartwell and Stevens 1975, Negrón and Popp 2004, Schmid and Mata 2005, Negrón et al 2008a. Most of these studies, however, are retrospective in nature and based on quantifying tree mortality postoutbreak.…”

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confidence: 99%

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Large-Scale Thinnings, Ponderosa Pine, and Mountain Pine Beetle in the Black Hills, USA

Negrón¹,

Allen²,

Ambourn

et al. 2017

Forest Science

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Mountain pine beetle (Dendroctonus ponderosae Hopkins) (MPB), can cause extensive ponderosa pine (Pinus ponderosa Dougl. ex Laws.) mortality in the Black Hills of South Dakota and Wyoming, USA. Lower tree densities have been associated with reduced MPB-caused tree mortality, but few studies have reported on large-scale thinning and most data come from small plots that may not be representative of a large area. We quantified MPB-caused tree mortality in 21 pairs of commercially thinned and unthinned stands across the Black Hills. Both pre-and postoutbreak, unthinned stands had higher ponderosa pine basal area, tree density, and stand density index. Quadratic mean diameter was larger in thinned stands, both pre-and postoutbreak. Percent ponderosa pine basal area and tree density killed by MPB in unthinned stands were 38.2 Ϯ 7.0 and 34.4 Ϯ 6.9% compared with 3.9 Ϯ 3.2 and 3.6 Ϯ 2.9% in thinned stands, respectively. All stands were thinned within 2 years of exposure to MPB, suggesting a rapid effect from thinning treatments in mitigating tree mortality attributed to MPB. Stand density reductions through silviculture across a large geographical area can abate MPB-caused tree mortality.

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Section: Discussionmentioning

confidence: 68%

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

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Large-Scale Thinnings, Ponderosa Pine, and Mountain Pine Beetle in the Black Hills, USA

Negrón¹,

Allen²,

Ambourn

et al. 2017

Forest Science

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“…In support of this hypothesis Negrón et al (2008), in a study where the sampling sites were relatively close to each other, showed that ponderosa pine trees (Pinus ponderosa) experience higher probability of being attacked by mountain pine beetles in areas with high stand densities. They also used logistic regression to evaluate the influence of site characteristics on bark beetle caused tree mortality by modeling the relationship between DBH and percent tree mortality (this approach was first described in a report preceding the current article (Björklund and Lindgren 2007)).…”

Section: Discussionmentioning

confidence: 86%

Diameter of lodgepole pine and mortality caused by the mountain pine beetle: factors that influence their relationship and applicability for susceptibility rating

Björklund

Lindgren

2009

Can. J. For. Res.

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During outbreaks the mountain pine beetle (Dendroctonus ponderosae Hopkins) kills large lodgepole pine trees (Pinus contorta Dougl. ex Loud.) more frequently than smaller ones. There is, however, considerable variation in the relation of diameter to incidence of attack. In a meta-analysis of published data we found that the relationship was primarily determined by geographic location (elevation, latitude, and longitude). We propose a new tree mortality measure, the probability of death index, defined as the average percentage of mortality for trees >23 cm. The index may improve the precision in predictive modeling of tree mortality, as it provides a biologically relevant measure of mortality, since it only includes trees that contribute to the growth of an epidemic and is not influenced by the number of trees within a diameter class. To be useful to forest managers, it must be possible to predict the index from stand parameters that are easily measured. The usefulness of the index was supported by a meta-analysis, which showed that 53% of the variation in the mortality index was explained by geographic location. Tree density did not explain any additional variation. Future research is needed to evaluate the performance of the probability of death index compared with that of other mortality measures.Résumé : Durant les épidémies, le dendroctone du pin ponderosa (Dendroctonus ponderosae Hopkins) tue plus souvent les grosses tiges de pin tordu (Pinus contorta Dougl. ex Loud.) que les plus petites. Cependant, la relation entre le diamètre et l'incidence des attaques varie énormément. Dans une méta-analyse des données publiées, nous avons découvert que la relation est principalement déterminée par la position géographique (altitude, latitude et longitude). Nous proposons une nouvelle mesure de mortalité des arbres : l'indice de probabilité de mortalité, définie comme étant le pourcentage moyen de mortalité des tiges de plus de 23 cm. L'indice peut améliorer la précision des modèles de prédiction de la mortalité des arbres parce qu'il fournit une mesure de la mortalité pertinente du point de vue biologique étant donné qu'il inclut uniquement les arbres qui contribuent à la croissance d'une épidémie et qu'il n'est pas influencé par le nombre d'arbres dans une classe de diamètre. Pour être utile aux aménagistes forestiers, l'indice doit pouvoir être prédit à partir de paramètres du peuplement qui sont facilement mesurables. L'utilité de l'indice est supportée par une méta-analyse qui montre que 53 % de la variation de l'indice de mortalité est expliquée par la position géographique. La densité des arbres n'explique aucune variation additionnelle. D'autres travaux seront nécessaires pour évaluer la performance de l'indice de probabilité de mortalité comparativement à d'autres mesures de la mortalité.[Traduit par la Rédaction]

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“…The potential influence of vegetation attributes is best illustrated by tree-based classifications according to a set of discriminating variables, often including stand basal area or specific tree properties (Reynolds and Holsten, 1996;Negrón and Popp, 2004). Logistic regression models are commonly used to predict probabilities (e.g., likelihood of attack) as a function of susceptibility indicators at the stand and tree level (Perkins and Roberts, 2003;Magnussen et al, 2004;Negrón et al, 2008Negrón et al, , 2009). Examples of comprehensive susceptibility models were given by Wulder et al (2006) for Dendroctonus ponderosae (Hopk.)…”

Section: Insectsmentioning

confidence: 99%

Modelling natural disturbances in forest ecosystems: a review

Seidl

Fernandes

Fonseca

et al. 2011

Ecological Modelling

357

219

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Susceptibility of ponderosa pine, Pinus ponderosa (Dougl. ex Laws.), to mountain pine beetle, Dendroctonus ponderosae Hopkins, attack in uneven-aged stands in the Black Hills of South Dakota and Wyoming USA

Cited by 38 publications

References 24 publications

Large-Scale Thinnings, Ponderosa Pine, and Mountain Pine Beetle in the Black Hills, USA

Large-Scale Thinnings, Ponderosa Pine, and Mountain Pine Beetle in the Black Hills, USA

Diameter of lodgepole pine and mortality caused by the mountain pine beetle: factors that influence their relationship and applicability for susceptibility rating

Modelling natural disturbances in forest ecosystems: a review

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