Identification of Putative Wintering Areas and Ecological Determinants of Population Dynamics of Common House-Martin (Delichon urbicum)and Common Swift (Apus apus) Breeding in Northern Italy

• Published in: Avian Conservation and Ecology
• Main Authors: AMBROSINI, ROBERTO, ORIOLI, VALERIO, MASSIMINO, DARIO, BANI, LUCIANO
• Other Authors: Ambrosini, R, Orioli, V, Massimino, D, Bani, L
• Format: Article in Journal/Newspaper
• Language: English
• Published: Resilience Alliance Publ. 2011
• Subjects: Aerial insectivore; bird monitoring; Bayesian model averaging; hierarchical partitioning; ERA-Interim project; NAO; NDVI; Palearctic-African bird migration system; BIO/05 - ZOOLOGIA; BIO/07 - ECOLOGIA; Apus apus; North Atlantic; North Atlantic oscillation
• Online Access: http://hdl.handle.net/10281/21862; https://doi.org/10.5751/ACE-00439-060103; http://www.ace-eco.org/vol6/iss1/art3/

To identify the causes of population decline in migratory birds, researchers must determine the relative influence of environmental changes on population dynamics while the birds are on breeding grounds, wintering grounds, and en route between the two. This is problematic when the wintering areas of specific populations are unknown. Here, we first identified the putative wintering areas of Common House-Martin (Delichon urbicum) and Common Swift (Apus apus) populations breeding in northern Italy as those areas, within the wintering ranges of these species, where the winter Normalized Difference Vegetation Index (NDVI), which may affect winter survival, best predicted annual variation in population indices observed in the breeding grounds in 1992–2009. In these analyses, we controlled for the potentially confounding effects of rainfall in the breeding grounds during the previous year, which may affect reproductive success; the North Atlantic Oscillation Index (NAO), which may account for climatic conditions faced by birds during migration; and the linear and squared term of year, which account for nonlinear population trends. The areas thus identified ranged from Guinea to Nigeria for the Common House-Martin, and were located in southern Ghana for the Common Swift. We then regressed annual population indices on mean NDVI values in the putative wintering areas and on the other variables, and used Bayesian model averaging (BMA) and hierarchical partitioning (HP) of variance to assess their relative contribution to population dynamics. We re-ran all the analyses using NDVI values at different spatial scales, and consistently found that our population of Common House-Martin was primarily affected by spring rainfall (43%–47.7% explained variance) and NDVI (24%–26.9%), while the Common Swift population was primarily affected by the NDVI (22.7%–34.8%). Although these results must be further validated, currently they are the only hypotheses about the wintering grounds of the Italian populations of these species, as no ...