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Coupling ecological and social network models to assess "transmission" and "contagion" of an aquatic invasive species.
Haak, Danielle M; Fath, Brian D; Forbes, Valery E; Martin, Dustin R; Pope, Kevin L.
Afiliação
  • Haak DM; Nebraska Cooperative Fish and Wildlife Research Unit, School of Natural Resources, University of Nebraska, Lincoln, 68583, USA. Electronic address: dmhaak@uga.edu.
  • Fath BD; Advanced Systems Analysis Program, International Institute for Applied Systems Analysis, Laxenburg, Austria; Department of Biological Sciences, Towson University, Towson, MD, USA. Electronic address: bfath@towson.edu.
  • Forbes VE; College of Biological Sciences, University of Minnesota, 55108, USA. Electronic address: veforbes@umn.edu.
  • Martin DR; ReelSonar, Inc., Seattle, WA, USA. Electronic address: dustin@reelsonar.com.
  • Pope KL; U.S. Geological Survey, Nebraska Cooperative Fish and Wildlife Research Unit, School of Natural Resources, University of Nebraska, Lincoln, 68583, USA. Electronic address: kpope2@unl.edu.
J Environ Manage ; 190: 243-251, 2017 Apr 01.
Article em En | MEDLINE | ID: mdl-28061408
ABSTRACT
Network analysis is used to address diverse ecological, social, economic, and epidemiological questions, but few efforts have been made to combine these field-specific analyses into interdisciplinary approaches that effectively address how complex systems are interdependent and connected to one another. Identifying and understanding these cross-boundary connections improves natural resource management and promotes proactive, rather than reactive, decisions. This research had two main objectives; first, adapt the framework and approach of infectious disease network modeling so that it may be applied to the socio-ecological problem of spreading aquatic invasive species, and second, use this new coupled model to simulate the spread of the invasive Chinese mystery snail (Bellamya chinensis) in a reservoir network in Southeastern Nebraska, USA. The coupled model integrates an existing social network model of how anglers move on the landscape with new reservoir-specific ecological network models. This approach allowed us to identify 1) how angler movement among reservoirs aids in the spread of B. chinensis, 2) how B. chinensis alters energy flows within individual-reservoir food webs, and 3) a new method for assessing the spread of any number of non-native or invasive species within complex, social-ecological systems.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Caramujos / Ecossistema / Espécies Introduzidas Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: J Environ Manage Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Caramujos / Ecossistema / Espécies Introduzidas Tipo de estudo: Prognostic_studies Limite: Animals Idioma: En Revista: J Environ Manage Ano de publicação: 2017 Tipo de documento: Article