Connectivity assessment and prioritization of urban grasslands as a helpful tool for effective management of urban ecosystem services.

Autor: Hassanali Mollashahi, Magdalena Szymura, Tomasz H Szymura
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: PLoS ONE, Vol 15, Iss 12, p e0244452 (2020)
Druh dokumentu: article
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0244452
Popis: Urban grasslands are usually managed as short-cut lawns and have limited biodiversity. Urban grasslands with low-intensity management are species rich and can perform numerous ecosystem services, but they are not accepted by citizens everywhere. Further, increasing and/or maintaining a relatively high level of plant species richness in an urban environment is limited by restricted plant dispersal. In this study, we examined the connectivity of urban grasslands and prioritized the grassland patches with regard to their role in connectivity in an urban landscape. We used high-resolution data from a land use system to map grassland patches in Wrocław city, Silesia, southwest Poland, Central Europe, and applied a graph theory approach to assess their connectivity and prioritization. We next constructed a model for several dispersal distance thresholds (2, 20, 44, 100, and 1000 m), reflecting plants with differing dispersal potential. Our results revealed low connectivity of urban grassland patches, especially for plants with low dispersal ability (2-20 m). The priority of patches was correlated with their area for all dispersal distance thresholds. Most of the large patches important to overall connectivity were located in urban peripheries, while in the city center, connectivity was more restricted and grassland area per capita was the lowest. The presence of a river created a corridor, allowing plants to migrate along watercourse, but it also created a barrier dividing the system. The results suggest that increasing the plant species richness in urban grasslands in the city center requires seed addition.
Databáze: Directory of Open Access Journals
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