Are Urban Green Spaces' Attributes Relevant to Explain the Occurrence of Invasive Species Within Urban Green Infrastructure?
Saved in:
| Title: | Are Urban Green Spaces' Attributes Relevant to Explain the Occurrence of Invasive Species Within Urban Green Infrastructure? |
|---|---|
| Authors: | Andrade, Mónica, Fernandes, Cláudia, Figueiredo, Albano |
| Source: | Urban Science; Jul2025, Vol. 9 Issue 7, p260, 19p |
| Subject Terms: | GREEN infrastructure, INTRODUCED species, LANDSCAPE assessment, ENVIRONMENTAL economics, ECOSYSTEM services, GREENBELTS |
| Geographic Terms: | COIMBRA (Portugal) |
| Abstract: | Despite the importance of Urban Green Infrastructure (UGI) as a provider of multiple Ecosystem Services (ESs), some concerns have been raised regarding Ecosystem Disservices (EDs) associated with UGI design and management, namely, the link between Urban Green Spaces' (UGSs) attributes and invasion spatial patterns. This research takes the UGI of Coimbra, a medium-sized Portuguese city, as a case study to explore the relationships between UGS attributes and the occurrence of invasive plant species. The methodology involved aerial photo-interpretation and full patch survey to collect data about UGSs types, maintenance level and occurrence of invasive plant species, and landscape metrics analysis. Our results showed that the UGI of Coimbra exhibits a large prevalence of small UGSs with regular maintenance and the occurrence of invasive plant species in a low number of patches (17%). Although these patches correspond to 64% of the UGI. The area of recent sprawl (zone 2) registers higher occurrence of invasive plant species across different UGSs types, with higher prevalence in patches with no or low maintenance. Mapping the occurrence of invasive plant species in UGS is of utmost importance to implement appropriate maintenance practices, allowing medium-sized cities like Coimbra to optimize ESs associated with UGI and minimize potential EDs. [ABSTRACT FROM AUTHOR] |
| Copyright of Urban Science is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Complementary Index |
Full Text Finder 
Nájsť tento článok vo Web of Science Be the first to leave a comment!