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Limited emigration from an outbreak of a forest pest insect

Molecular Ecology, 2011
Population density and individual dispersal behaviour affect species' distribution dynamics. Population densities vary over time, and some species occasionally increase to very high numbers, for example during outbreaks. In such situations, populations are expected to expand into new areas as a result of density-dependent dispersal which sometimes even
CECILIA RONNÅS   +4 more
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Tropical Forest Insect Pests

2007
Tropical Forest Insect Pests, first published in 2007, promotes a better theoretical understanding of pest population dynamics, and causes of forest insect outbreaks in the tropics. Covering pests of both natural forests and plantations, it examines the diversity of tropical forest insects; their ecological functions; the concept of pests; and the ...
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COMPILING MAPS OF FOREST DAMAGE BY INSECT PESTS

Mapping Sciences and Remote Sensing, 1985
The paper describes a methodology, based on the joint use of remote sensing imagery and field observations, for compiling maps of forest damage caused by insect pests. These maps are used to assess and predict economic losses from insect damage and, by affording comparisons between infested areas and specific physical environments, provide a basis for ...
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Insect pests of forest trees

2023
Patricia Prade, David R. Coyle
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The Economics and Planning of Research into Tropical Forest Insect Pests

PANS Pest Articles & News Summaries, 1974
Abstract Serious damage is caused in natural tropical forests and plantations, to standing trees, during extraction, transportation and production operations, and to forest products, by insect pests. The principal decision-makers involved in planning the relevant research programmes are the forest manager and the entomologist.
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Increasingly favourable winter temperature conditions for major crop and forest insect pest species in Switzerland

Agricultural and Forest Meteorology, 2021
Leonard Schneider, Martine Rebetez
exaly  

Recommending Advanced Deep Learning Models for Efficient Insect Pest Detection

Agriculture (Switzerland), 2022
Tengfei Zhu, Jianzhang Dong
exaly  

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