Regional Correlation of Gypsy Moth (Lepidoptera: Lymantriidae) Defoliation with Counts of Egg Masses, Pupae, and Male Moths

Liebhold, Andrew M.; Elkinton, Joseph S.; Zhou, Chenghua; Hohn, Michael Edward; Rossi, Ryann; Boettner, George H.; Boettner, C. W.; Burnham, C. R.; McManus, Michael L.

doi:10.1093/ee/24.2.193

Cited by 33 publications

(24 citation statements)

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“…In fact, Liebhold et al (1995) did not observe a correlation between trap catches and L. dispar infestations. Similarly, Antonietty (2013) did not find a reliable correlation between the number of trapped T. viridana adults and the number of collected larvae, in contrast to the observations by Gilioli et al (1999).…”

Section: Monitoring Of Pestsmentioning

confidence: 74%

“…Useful results were attained, for example, considering the average fertility of female gypsy moths to anticipate population outbreaks. This can be done either by weighing samples of egg masses (Bariselli et al 1994) or by simply counting the number of egg masses present in a sample area (Liebhold et al 1995;Luciano and Lentini 2012). For M. neustria, counting egg masses on a sample of twigs has proven useful for estimating its population density (Verdinelli et al 2002).…”

Section: Monitoring Of Pestsmentioning

confidence: 99%

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Cork oak pests: a review of insect damage and management

Tiberi

Branco

Bracalini

et al. 2016

Annals of Forest Science

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Abstract& Key message Cork oak decline is widespread in all its distribution range and seems to be triggered mainly by both mismanagement and unfavorable climatic factors. As a result, cork oak forests become susceptible to pest attack, which accelerates the onset of decline. Pest management strategies for this valuable and highly biodiverse ecosystem are examined in this review, taking into account the main insect pests and how their impact on cork oak forests is affected by climate change. While monitoring pests may provide the tools to predict the transition from endemic to epidemic insect populations, forestry practices (sanitary felling), biological control, and trapping are some of the most promising measures in protecting cork oak forests. & Context Over the last decades, cork oak (Quercus suber L.) decline has affected millions of trees throughout its distribution range. Cork oak is a typically Mediterranean species remarkably relevant for the biodiversity and landscape conservation of vast evergreen oak forests. Cork oak is also well known and highly valued for cork production. Climatic changes, management practices, and biotic factors, particularly plant pathogens and insect pests, play a decisive role in tree death and market devaluation of cork. & Aims Here, we review the major insect pests possibly involved in cork oak decline, while discussing pest management strategies. & Methods A survey of the current literature was performed to identify major insect pests affecting cork oak trees, as well as to establish the most promising pest management strategies under climate change. & Results Many authors seem to agree that the decline is triggered by both anthropogenic and abiotic factors, such as the mismanagement of cork oak forests and unfavorable climate (high temperatures and droughts). Consequently, trees become susceptible to pests and pathogens, which accelerate the onset of decline. & Conclusion Since a further increase in temperatures and droughts is expected, developing adequate management strategies to adapt cork oak trees to climate change, while simultaneously preventing and reducing insect pest attacks, is of foremost importance in the effort to conserve these unique and highly diverse ecosystems.Keywords Quercus suber . Cork oak decline . Climate change . Forest management Handling Editor: Aurelien SALLE Contribution of the co-authors Riziero Tiberi and Tiziana Panzavolta: conceived the idea, supervised literature reviewing, wrote the manuscript, and reviewed its final version. Manuela Branco: contributed to the writing of the manuscript, the reviewing of literature, and the revision of the final draft. Matteo Bracalini: contributed to the writing of the paper, the selection of literature, and the English revision of the manuscript. Francesco Croci: contributed to the writing of the manuscript and the assembling of related literature. All authors have read and approved the final manuscript.

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Section: Monitoring Of Pestsmentioning

confidence: 74%

Section: Monitoring Of Pestsmentioning

confidence: 99%

Cork oak pests: a review of insect damage and management

Tiberi

Branco

Bracalini

et al. 2016

Annals of Forest Science

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“…As previously mentioned, egg mass counts are at least loosely correlated with defoliation at the stand level, and a distinct correlation exists at the landscape level (Liebhold et al 1994b). Liebhold et al 1994b showed that the spatial correlation between defoliation and egg mass counts is greatest when egg mass counts are transformed to an indicator variable (binary: 1,0) such that the transformed variable is zero if there are less than 1 egg mass per tree and 1 if there are 1 or more egg masses per tree.…”

Section: Weighted Mean With Egg Mass Counts Model (Model Vii)mentioning

confidence: 87%

“…Liebhold et al 1994b showed that the spatial correlation between defoliation and egg mass counts is greatest when egg mass counts are transformed to an indicator variable (binary: 1,0) such that the transformed variable is zero if there are less than 1 egg mass per tree and 1 if there are 1 or more egg masses per tree.…”

Section: Weighted Mean With Egg Mass Counts Model (Model Vii)mentioning

confidence: 99%

Forecasting the spatial dynamics of gypsy moth outbreaks using cellular transition models

Zhou

Liebhold

1995

Landscape Ecol

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A series of cellular transition probability models that predict the spatial dynamics of gypsy moth (Lymantria dispar L.) defoliation were developed. The models consisted of four classes: Simple Markov chains, Rook's and Queen's move neighborhood models, and distance weighted neighborhood models. Historical maps of gypsy moth defoliation across Massachusetts from 1961 to 1991 were digitized into a binary raster matrix and used to estimate transition probabilities. Results indicated that the distance weighted neighborhood model performed better then the other neighborhood modcls and the simple Markov chain. Incorporation of interpolated counts of overwintering egg mass counts taken throughout the state and incorporation of historical defoliation frequencies increased the performance of the transition models.

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“…A number of indirect methods have been attempted, such as sampling frass, alternate life stages, and plant injury (Allen et al, 1986;Parker and Skinner, 1993;Zandt, 1994;Liebhold et al, 1995;Liang et al, 1998). However, these methods do not always accurately estimate the targeted life stage, provide only relative estimates, and are not readily amenable to repeated nondestructive sampling (Zandt, 1994;Liang et al, 1998).…”

Section: Introductionmentioning

confidence: 99%