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Multi-level driving forces of biological invasions

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  • Rodríguez-Labajos, Beatriz
  • Binimelis, Rosa
  • Monterroso, Iliana

Abstract

Biological invasions are human-induced processes affecting biodiversity. Information on biological invasions can be organized following the categories of the DPSIR model. This paper examines the state of the art in the application of this model to the study and management of biological invasions. The paper focuses on driving forces and pressures, clarifying the different levels at which drivers operate and promote invasion processes. Identifying driving forces is necessary not only to understand the processes behind biological invasions but also to generate policy initiatives that address threats to biodiversity at different levels of governance. Thus driving forces and pressures on biological invasions are identified taking into account the multi-level character of such processes. The final section reviews the role that different stakeholders play in biological invasion management and finally elaborates a list of indicators derived from the analysis that can be used in decision making concerning invasion processes.

Suggested Citation

  • Rodríguez-Labajos, Beatriz & Binimelis, Rosa & Monterroso, Iliana, 2009. "Multi-level driving forces of biological invasions," Ecological Economics, Elsevier, vol. 69(1), pages 63-75, November.
  • Handle: RePEc:eee:ecolec:v:69:y:2009:i:1:p:63-75
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    Cited by:

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    2. Binimelis, Rosa & Monterroso, Iliana & Rodríguez-Labajos, Beatriz, 2009. "Catalan agriculture and genetically modified organisms (GMOs) -- An application of DPSIR model," Ecological Economics, Elsevier, vol. 69(1), pages 55-62, November.
    3. Ge Song & Hu Cao & Lanyi Liu & Min Jin, 2022. "Analysis of Marine Microplastic Pollution of Disposable Masks under COVID-19 Epidemic—A DPSIR Framework," IJERPH, MDPI, vol. 19(23), pages 1-15, December.
    4. Liu, Shuang & Hurley, Michael & Lowell, Kim E. & Siddique, Abu-Baker M. & Diggle, Art & Cook, David C., 2011. "An integrated decision-support approach in prioritizing risks of non-indigenous species in the face of high uncertainty," Ecological Economics, Elsevier, vol. 70(11), pages 1924-1930, September.
    5. Zhao-Tian Li & Meng-Meng Hu & Miao Li & Meng-Yu Jiao & Bei-Cheng Xia, 2020. "Identification and countermeasures of limiting factors of regional sustainable development: a case study in the Pearl River Delta of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 4209-4224, June.
    6. Alimo, Philip Kofi & Rahim, Abdul Basit Abdul & Lartey-Young, George & Ehebrecht, Daniel & Wang, Ling & Ma, Wanjing, 2022. "Investigating the increasing demand and formal regulation of motorcycle taxis in Ghana," Journal of Transport Geography, Elsevier, vol. 103(C).
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    8. Giaccaria Sergio & Dalmazzone Silvana, 2010. "Socio-economic drivers of biological invasions. A worldwide, bio-geographical analysis of trade flows and local environmental quality," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201003, University of Turin.
    9. Schlindwein, Sandro Luis & Feitosa de Vasconcelos, Ana Carolina & Bonatti, Michelle & Sieber, Stefan & Strapasson, Alexandre & Lana, Marcos, 2021. "Agricultural land use dynamics in the Brazilian part of La Plata Basin: From driving forces to societal responses," Land Use Policy, Elsevier, vol. 107(C).

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