globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.foreco.2014.05.051
Scopus记录号: 2-s2.0-84903485365
论文题名:
Tree damage and population density relationships for the pine processionary moth: Prospects for ecological research and pest management
作者: Cayuela L.; Hernández R.; Hódar J.A.; Sánchez G.; Zamora R.
刊名: Forest Ecology and Management
ISSN:  0378-1127
出版年: 2014
卷: 328
起始页码: 319
结束页码: 325
语种: 英语
英文关键词: Defoliation ; Insect population density ; Pest control ; Population dynamics ; Thaumetopoea pityocampa
Scopus关键词: Damage detection ; Forestry ; Pest control ; Population distribution ; Population dynamics ; Defoliation ; Generalized linear model ; Insect population ; Long term monitoring ; Pine processionary moth ; Population densities ; Thaumetopoea pityocampa ; Visual evaluation ; Population statistics ; biological control ; coniferous tree ; disease prevalence ; environmental factor ; environmental monitoring ; moth ; pest control ; population density ; population dynamics ; population size ; stand structure ; woodland ; Biological Populations ; Damage ; Defoliation ; Forestry ; Insects ; Pest Control ; Mediterranean Region ; Spain
英文摘要: The pine processionary moth (Thaumetopoea pityocampa, PPM) is one of the most destructive pests in Mediterranean woodlands. Assessment of PPM impact involves the quantification of pest damage at the stand level from visual evaluations by forestry technicians, using different infestation indices. One such index, widely used in national and regional forest monitoring programmes, is an ordinal index that ranges from no infestation (0) to massive defoliation (5). This index now offers an outstanding opportunity to investigate patterns and processes in PPM population dynamics. Its use as a proxy for insect population density requires, however, knowledge on the relationship between stand defoliation and population density-related measures, which is something that has not been explored to date. In this study, we investigated the relationship between the infestation index, quantifying damage at the stand level by the PPM, and fined-grained measures of PPM population size (number of egg batches, number of hatched caterpillars, number of winter tents) within and between generations. We used data from a long-term monitoring programme conducted in three pine woodland stands at Mora de Rubielos, Spain, for a 19-year period. Generalized linear models (GLM) were fitted in order to test the following hypotheses: (1) high values of population density-related variables, on a log basis, will cause high defoliation in the coming winter (within generation); and (2) high defoliation rates will be associated with high stocks of population size at the next generation of PPM (between generations). Our results indicate that, within the same generation, there was a poor relationship between the infestation index and all three fine-grained measures of population size (maximum R2=0.442), possibly as a result of post-sampling larval survival over winter due to climatic factors. Goodness of fit was higher for PPM population density-related measures in the next generation and the infestation index (maximum R2=0.735). Overall, the results suggest that visual evaluation of pest damage by PPM at the stand level provides an accurate proxy for population size at the next generation, and therefore opens the potential to the use of this index to investigate PPM population dynamics where no direct measures of population size exist. © 2014 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65846
Appears in Collections:影响、适应和脆弱性

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作者单位: Área de Biodiversidad y Conservación, Departamento de Biología y Geología, Universidad Rey Juan Carlos, c/Tulipán s/n, E-28933 Móstoles, Madrid, Spain; Laboratorio de Sanidad Forestal, Servicio Provincial de Agricultura, Ganadería y Medio Ambiente de Teruel, Diputación General de Aragón, c/Agustín Planas Sancho 10, E-44400 Mora de Rubielos, Teruel, Spain; Grupo de Ecología Terrestre, Departamento de Ecología, Facultad de Ciencias, Universidad de Granada, E-18071 Granada, Spain; Servicio de Sanidad Forestal y Equilibrios Biológicos, Dirección General de Sanidad de la Producción Agraria, Ministerio de Agricultura, Alimentación y Medio Ambiente, c/Almagro 33, E-28010 Madrid, Spain

Recommended Citation:
Cayuela L.,Hernández R.,Hódar J.A.,et al. Tree damage and population density relationships for the pine processionary moth: Prospects for ecological research and pest management[J]. Forest Ecology and Management,2014-01-01,328
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