Abstract
It has been suggested that existing frameworks for guiding management of invasive species in rural areas and protected areas are inadequate for dealing with invasions in urban settings. A framework for selecting appropriate goals for managing invasive species in urban areas was developed by Gaertner et al. in 2016. This framework groups species into three management approaches (control priority, active engagement, and tolerance) depending on their real or perceived benefits and their potential to generate negative impacts.
This study tests the practical application of the framework using the example of Cape Town. We assess the suitability of the framework to support decision-making for managing invasive species in urban ecosystems using a questionnaire-based survey of members of the public, and an e-mail-based survey and a workshop with invasion biology researchers and managers. Specifically, we (1) determine the differences in perceptions regarding the benefits and impacts of invasive species between the public, managers and researchers; (2) investigate how consistently managers and researchers group invasive species into the three management categories; and (3) identify, with the help of managers and researchers, issues linked to the framework and give suggestions to overcome the identified issues.
We found no clear pattern in the perceptions of the public, managers and researchers regarding perceived benefits and negative impacts. Instead, the answers were widely scattered among all groups for most of the species that were considered. However, using the framework leads to a higher consistency among managers in placing the species into management categories, compared to invasive species grouping without guidance of the framework.
We conclude that decision-support frameworks can assist managers in placing invasive species into management categories. However, even more specific guidelines on the use of invasive species management frameworks in urban areas are needed.
This study tests the practical application of the framework using the example of Cape Town. We assess the suitability of the framework to support decision-making for managing invasive species in urban ecosystems using a questionnaire-based survey of members of the public, and an e-mail-based survey and a workshop with invasion biology researchers and managers. Specifically, we (1) determine the differences in perceptions regarding the benefits and impacts of invasive species between the public, managers and researchers; (2) investigate how consistently managers and researchers group invasive species into the three management categories; and (3) identify, with the help of managers and researchers, issues linked to the framework and give suggestions to overcome the identified issues.
We found no clear pattern in the perceptions of the public, managers and researchers regarding perceived benefits and negative impacts. Instead, the answers were widely scattered among all groups for most of the species that were considered. However, using the framework leads to a higher consistency among managers in placing the species into management categories, compared to invasive species grouping without guidance of the framework.
We conclude that decision-support frameworks can assist managers in placing invasive species into management categories. However, even more specific guidelines on the use of invasive species management frameworks in urban areas are needed.
Original language | English |
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Pages (from-to) | 3707-3723 |
Journal | Biological Invasions |
Volume | 19 |
Issue number | 12 |
Early online date | 25 Oct 2017 |
DOIs | |
Publication status | Published - Dec 2017 |
Bibliographical note
This is a post-peer-review, pre-copyedit version of an article published in Biological Invasions . The final authenticated version is available online at: http://dx.doi.org/10.1007/s10530-017-1587-xKeywords
- Biological invasions
- Management
- Stakeholder engagement
- South Africa
- Urban invasions
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Jana Fried
- Centre for Agroecology, Water and Resilience - Assistant Professor Research
Person: Teaching and Research