Pollinators are key ecosystem components and their conservation represents a critical target for both nature and human health. In a world of increasing urbanisation, cities and peri-urban areas have to be active players in addressing this target, and in-depth knowledge of the effects of the urbanisation gradient and related landscape features on pollinators has to be acquired. Accordingly, an experimental study on the relationships between bee communities and natural vs. human-induced environmental heterogeneity has been carried out in a transitional peri-urban landscape of the Metropolitan area of Rome (Italy). A multi-step procedure was adopted, arranged into plant and bee communities field sampling, detailed mapping of actual and potential ecosystems, and combined processing and modelling of the respective results. The potential contribution of experimental findings to the deployment of a pollinator-friendly Green Infrastructure (GI) has been then explored, with statistical correlations between bee diversity and landscape metrics adopted for defining conservation and restoration actions and a multi-criteria analysis adopted for site prioritisation in the study area. Such a planned GI could represent an effective solution for enhancing resilience and resistance of peri-urban landscapes against land take and agricultural intensification, as local expressions of global biodiversity loss drivers.

On the role of natural and Induced landscape heterogeneity for the support of pollinators. A green Infrastructure perspective applied in a peri-urban system / Capotorti, Giulia; Valeri, Simone; Giannini, Arianna; Minorenti, Valerio; Piarulli, Mariagrazia; Audisio, Paolo. - In: LAND. - ISSN 2073-445X. - 12:2(2023), pp. 1-29. [10.3390/land12020387]

On the role of natural and Induced landscape heterogeneity for the support of pollinators. A green Infrastructure perspective applied in a peri-urban system

Capotorti, Giulia;Valeri, Simone
;
Giannini, Arianna;Minorenti, Valerio;Piarulli, Mariagrazia;Audisio, Paolo
2023

Abstract

Pollinators are key ecosystem components and their conservation represents a critical target for both nature and human health. In a world of increasing urbanisation, cities and peri-urban areas have to be active players in addressing this target, and in-depth knowledge of the effects of the urbanisation gradient and related landscape features on pollinators has to be acquired. Accordingly, an experimental study on the relationships between bee communities and natural vs. human-induced environmental heterogeneity has been carried out in a transitional peri-urban landscape of the Metropolitan area of Rome (Italy). A multi-step procedure was adopted, arranged into plant and bee communities field sampling, detailed mapping of actual and potential ecosystems, and combined processing and modelling of the respective results. The potential contribution of experimental findings to the deployment of a pollinator-friendly Green Infrastructure (GI) has been then explored, with statistical correlations between bee diversity and landscape metrics adopted for defining conservation and restoration actions and a multi-criteria analysis adopted for site prioritisation in the study area. Such a planned GI could represent an effective solution for enhancing resilience and resistance of peri-urban landscapes against land take and agricultural intensification, as local expressions of global biodiversity loss drivers.
2023
bee communities; urban-rural gradient; ecosystem mapping and assessment; conservation and restoration priorities
01 Pubblicazione su rivista::01a Articolo in rivista
On the role of natural and Induced landscape heterogeneity for the support of pollinators. A green Infrastructure perspective applied in a peri-urban system / Capotorti, Giulia; Valeri, Simone; Giannini, Arianna; Minorenti, Valerio; Piarulli, Mariagrazia; Audisio, Paolo. - In: LAND. - ISSN 2073-445X. - 12:2(2023), pp. 1-29. [10.3390/land12020387]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1668723
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