Fraissinet, Maurizio (2020) Bird communities as bioindicators in urban environments. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Bird communities as bioindicators in urban environments
Creators:
CreatorsEmail
Fraissinet, Mauriziomaurizio.fraissinet@unina.it
Date: 7 March 2020
Number of Pages: 142
Institution: Università degli Studi di Napoli Federico II
Department: Agraria
Dottorato: Scienze agrarie e agroalimentari
Ciclo di dottorato: 32
Coordinatore del Corso di dottorato:
nomeemail
D'Urso, Guidodurso@unina.it
Tutor:
nomeemail
Russo, DaniloUNSPECIFIED
Date: 7 March 2020
Number of Pages: 142
Keywords: Urban Ornithological Atlas, Naples, historical dataset, estimated probability of presence
Settori scientifico-disciplinari del MIUR: Area 05 - Scienze biologiche > BIO/05 - Zoologia
Date Deposited: 20 Mar 2020 15:21
Last Modified: 10 Nov 2021 14:15
URI: http://www.fedoa.unina.it/id/eprint/13023

Collection description

The study of birds in urban areas has increased in recent times, yet few studies provide a picture of colonization dynamics over long time windows, at the same time building on extensive and complete datasets on species presence. Within the city of Naples, three bird monitoring campaigns took place, namely in 1990/95, 2000/05 and 2014/18, each time maintaining the same sampling designs, field methods and effort, the campaign coordinator and most of involved personnel. Such continuity provided a solid database on which to analyse occupancy trends of nesting urban birds across 28 years, allowing to test the relationships between species and land use dynamics throughout such extended time. Species richness of breeding birds remained stable over time, yet a significant species turnover occurred between the first and the third monitoring campaigns, with a bias due to the species’favorite habitats; namely, bird species associated with forest and rocky habitats increased their presence, while birds dependent from open and cultivated areas showed a general decrease. Similarly, carnivorous and omnivorous species showed an increase when compared to insectivorous taxa. The quantitative analysis to associate each bird species to a favoured land use class also produced models that may be used to predict the probability of a species’ presence in relation to such land use class, and thus provide a simple but powerful tool to inform land use managers and conservationists that work on landscape and bird conservation in urban environments.

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