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Modelling the dispersal of invasive species using landscape variables

2023-12-07Doctoral thesis Open access
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dc.contributor.advisorSimƵes, Manuela Rodrigues Branco
dc.contributor.advisorSilva, JosƩ Carlos Franco Santos
dc.contributor.advisorJactel, HervƩ
dc.contributor.authorNunes, Pedro Mourato Catela
dc.date.accessioned2024-01-18T11:59:20Z
dc.date.available2024-01-18T11:59:20Z
dc.date.issued2023-12-07
dc.descriptionDoutoramento em Engenharia Florestal e dos Recursos Naturais. Universidade de Lisboa, Instituto Superior de Agronomiapt_PT
dc.description.abstractBiological invasions are a great threat for ecosystems functioning and human welfare. In many cases, the more realistic strategy in the combat of invasive species is controlling their spatial expansion. Our work focused on studying the role of the landscape structure towards invasive species dispersal. For this we developed three different dispersal models using landscape factors and ecology concepts. Models were applied to two highly relevant invasive species for Europe, the pine wood nematode (PWN) and the african citrus psyllid. To understand the role of landscape heterogeneity towards the spread of the PWN, we studied the dispersal trajectories of the vector, M. galloprovincialis. We used least-cost path analysis to estimate the beetleā€™s behaviour response to the different land uses from a mark-release-recapture essay conducted in a heterogenous forest. The importance of isolated host trees for invasive species spread was tested in two spatio-temporal models for the dispersal of T. erytreae at large and local scales. At large scale, the role of human activities for the invasion patterns of T. erytreae in Portugal was also addressed. The inclusion of human-mediated spread and isolated host trees improved the F1-Scores of the model validation with the official reports as observations. For the local scale model, in an heterogenous agriculture region, we developed a spatio-temporal model, using an epidemiological approach for the chain of tree infections, to explain the dispersal of the species across the landscape. This model further allowed incorporating different management strategies. Altogether, our findings highlighted the importance that landscape structure, and its elements, can have for invasive species dispersal, making their inclusion invaluable for invasive species modelling. Additionally, we were able to contribute with promising novel methodologies and modelling approaches for invasive biology, including a tool for pinpointing the origin of captured individuals in trapping grids.
dc.description.abstractAs invasƵes biolĆ³gicas representam uma grande ameaƧa ecologicamente e para o bem estar humano. Frequentemente, a estratĆ©gia mais realista no combate a espĆ©cies invasoras Ć© controlar a sua expansĆ£o. O nosso trabalho centrou se no estudo do papel da estrutura da paisagem na dispersĆ£o de espĆ©cies invasoras. Desenvolvemos trĆŖs modelos de dispersĆ£o utilizando fatores da paisagem e conceitos ecolĆ³gicos. Estes modelos foram aplicados a duas espĆ©cies invasor as de grande importĆ¢ncia para a Europa, o nemĆ”todo da madeira do pinheiro (NMP) e a psila dos citrinos africana Para estudar o efeito da heterogeneidade da paisagem na dispersĆ£o do NMP, estudĆ”mos as trajetĆ³rias de voo do vetor Monochamus galloprovincialis . U tilizĆ”mos anĆ”lises do caminho de custo mĆ­nimo para estimar o comportamento de voo do inseto com os diferentes tipos de uso do solo, com um ensaio de marcaĆ§Ć£o, largada e recaptura dentro de uma floresta heterog Ć© nea. A importĆ¢ncia de Ć”rvores hospedeiras isoladas para a dispersĆ£o de espĆ©cies invasoras foi estudada com dois modelos espaƧo temporais para a dispersĆ£o de T. erytreae em grande escala e escala local. A importĆ¢ncia da dispersĆ£o mediada por atividades humanas para a invasĆ£o de T. erytreae em Portug al tambĆ©m foi estudada . A inclusĆ£o de dispersĆ£o mediada pelo homem e das Ć”rvores hospedeiras urbanas melhoraram os F1 S cores da validaĆ§Ć£o do modelo. Finalmente foi desenvolvido um modelo espaƧo temporal em escala local, numa regiĆ£o agrĆ­cola em Portugal. Este modelo teve uma abordagem epidemiolĆ³gica, para explicar a dispersĆ£o da espĆ©cie na regiĆ£o. Este modelo permitiu ainda a incorporaĆ§Ć£o de diferentes estratĆ©gias de gestĆ£o. Os nossos resultados destacam a importĆ¢ncia da estrutura da paisagem para a dispersĆ£o de espĆ©cies invasoras. AlĆ©m disso, contribuĆ­mos com metodologias promissoras para a modelaĆ§Ć£o de espĆ©cies invasoras e uma ferramenta para a gestĆ£o de espĆ©cies invasoras.
dc.description.versionN/Apt_PT
dc.identifier.citationNunes, P.M.C. Modelling the dispersal of invasive species using landscape variables. Lisboa: ISA-Universidade de Lisboa, 2023. Tese de Doutoramentopt_PT
dc.identifier.tid101747101
dc.identifier.urihttp://hdl.handle.net/10400.5/29870
dc.language.isoengpt_PT
dc.publisherInstituto Superior de Agronomia, Universidade de Lisboapt_PT
dc.relationTC-05/10pt_PT
dc.relationModelling of alien insect pestsdistributionat landscape level
dc.relationHOlistic Management of Emerging forest pests and Diseases
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectinvasive species
dc.subjectdispersal
dc.subjectlandscape heterogeneity
dc.subjectspatio-temporal model
dc.subjectpest management
dc.subjectespƩcies invasoras
dc.subjectdispersĆ£o
dc.subjectheterogeneidade da paisagem
dc.subjectmodelo espaƧo temporal
dc.subjectgestĆ£o de pragas
dc.titleModelling the dispersal of invasive species using landscape variablespt_PT
dc.typedoctoral thesis
dspace.entity.typePublication
oaire.awardTitleModelling of alien insect pestsdistributionat landscape level
oaire.awardTitleHOlistic Management of Emerging forest pests and Diseases
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//PD%2FBD%2F142960%2F2018/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/771271/EU
oaire.fundingStreamH2020
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundaĆ§Ć£o para a CiĆŖncia e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typedoctoralThesispt_PT
relation.isProjectOfPublicationec21dbf0-d692-402d-8119-d6c2acd917c0
relation.isProjectOfPublicationef40aaa1-1ed3-426c-a8c3-2e69546416cd
relation.isProjectOfPublication.latestForDiscoveryef40aaa1-1ed3-426c-a8c3-2e69546416cd

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