@prefix prodottidellaricerca: . @prefix istituto: . @prefix prodotto: . istituto:CDS050 prodottidellaricerca:prodotto prodotto:ID211766 . @prefix pubblicazioni: . @prefix unitaDiPersonaleInterno: . unitaDiPersonaleInterno:MATRICOLA9234 pubblicazioni:autoreCNRDi prodotto:ID211766 . @prefix modulo: . modulo:ID8164 prodottidellaricerca:prodotto prodotto:ID211766 . @prefix rdf: . @prefix retescientifica: . prodotto:ID211766 rdf:type retescientifica:ProdottoDellaRicerca , prodotto:TIPO1101 . @prefix rdfs: . prodotto:ID211766 rdfs:label "Metapopulation modelling and area-wide pest management strategies evaluation. An application to Pine processionary moth (Articolo in rivista)"@en . @prefix xsd: . prodotto:ID211766 pubblicazioni:anno "2013-01-01T00:00:00+01:00"^^xsd:gYear ; pubblicazioni:doi "10.1016/j.ecolmodel.2013.03.020"^^xsd:string . @prefix skos: . prodotto:ID211766 skos:altLabel "
G. Gilioli , A. Bodini, J. Baumgaertner (2013)
Metapopulation modelling and area-wide pest management strategies evaluation. An application to Pine processionary moth
in Ecological modelling; ELSEVIER SCIENCE B.V., AMSTERDAM (Paesi Bassi)
"^^rdf:HTML ; pubblicazioni:autori "G. Gilioli , A. Bodini, J. Baumgaertner"^^xsd:string ; pubblicazioni:paginaInizio "1"^^xsd:string ; pubblicazioni:paginaFine "10"^^xsd:string ; pubblicazioni:url "http://www.sciencedirect.com/science/article/pii/S0304380013001774"^^xsd:string ; pubblicazioni:numeroVolume "260"^^xsd:string . @prefix ns11: . prodotto:ID211766 pubblicazioni:rivista ns11:ID337051 ; skos:note "Google Scholar"^^xsd:string , "ISI Web of Science (WOS)"^^xsd:string , "Scopu"^^xsd:string ; pubblicazioni:affiliazioni "Universit\u00E0 di Brescia, CNR-IMATI, CASAS"^^xsd:string ; pubblicazioni:titolo "Metapopulation modelling and area-wide pest management strategies evaluation. An application to Pine processionary moth"^^xsd:string ; prodottidellaricerca:abstract "Forecasting pest population abundance is a time and resource consuming task, and in particular for area-wide pest management is complicated by demographic and environmental stochasticity. These factors make difficult the development of quantitative tools to design and evaluate different management strategies performances by taking into account various form of variability and uncertainty. Pest management could benefit from methods supporting decision making based on models ease of development under scarce data and high uncertainty. Host plants for many agricultural and forest pests are often patchily distributed, therefore population dynamics can be suitably described in terms of metapopulations. Despite the fact that metapopulation models were originally proposed for pests, they remain a widely used tool in conservation biology but receive little attention in large scale pest management.The aim of this paper is to propose a framework allowing the ranking of the efficacy of area-wide pest control strategies, taking into account population spatial distribution in discrete patches. The Kullback-Leibler divergence, well known in Information Theory, Probability and Statistics, is used to measure how far the state of the metapopulation as predicted by a spatially explicit metapopulation model is from a suitable reference state.The method is applied to compare the efficacy of different types of predefined control strategies of the Pine processionary moth (Traumatocampa pityocampa (Den. and Schiff)). The analysis of a dataset on metapopulation dynamics of this moth from a fragmented Mediterranean pine forest allows to derive some rules of thumb for the rational allocation of control effort, in terms of spatial and temporal distribution of the interventions."@en . @prefix ns12: . prodotto:ID211766 pubblicazioni:editore ns12:ID14572 ; prodottidellaricerca:prodottoDi modulo:ID8164 , istituto:CDS050 ; pubblicazioni:autoreCNR unitaDiPersonaleInterno:MATRICOLA9234 . @prefix parolechiave: . prodotto:ID211766 parolechiave:insiemeDiParoleChiave . ns11:ID337051 pubblicazioni:rivistaDi prodotto:ID211766 . ns12:ID14572 pubblicazioni:editoreDi prodotto:ID211766 . parolechiave:insiemeDiParoleChiaveDi prodotto:ID211766 .