Response of young and adult birds to the same environmental variables and different spatial scales during post breeding period

Skórka, Piotr; Lenda, Magdalena; Sutherland, William J.

doi:10.1007/s10980-016-0382-x

Cited by 12 publications

(5 citation statements)

References 49 publications

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“…Hence, it seems justified to include all spatial scales which may concern studied model species, encompassing possible maximal dispersal abilities. Furthermore, our results as well as other studies considering different spatial scales indicate that bigger spatial scales matter in shaping the patterns of distribution and abundance of species [67,109,110]. …”

Section: Discussionsupporting

confidence: 84%

Relative Contribution of Matrix Structure, Patch Resources and Management to the Local Densities of Two Large Blue Butterfly Species

et al. 2016

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The type of matrix, the landscape surrounding habitat patches, may determine the distribution and function of local populations. However, the matrix is often heterogeneous, and its various components may differentially contribute to metapopulation processes at different spatial scales, a phenomenon that has rarely been investigated. The aim of this study was to estimate the relative importance of matrix composition and spatial scale, habitat quality, and management intensity on the occurrence and density of local populations of two endangered large blue butterflies: Phengaris teleius and P. nausithous. Presence and abundance data were assessed over two years, 2011–12, in 100 local patches within two heterogeneous regions (near Kraków and Tarnów, southern Poland). The matrix composition was analyzed at eight spatial scales. We observed high occupancy rates in both species, regions and years. With the exception of area and isolation, almost all of the matrix components contributed to Phengaris sp. densities. The different matrix components acted at different spatial scales (grassland cover within 4 and 3 km, field cover within 0.4 and 0.3 km and water cover within 4 km radii for P. teleius and P. nausithous, respectively) and provided the highest independent contribution to the butterfly densities. Additionally, the effects of a 0.4 km radius of forest cover and a food plant cover on P. teleius, and a 1 km radius of settlement cover and management intensity on P. nausithous densities were observed. Contrary to former studies we conclude that the matrix heterogeneity and spatial scale rather than general matrix type are of relevance for densities of butterflies. Conservation strategies for these umbrella species should concentrate on maintaining habitat quality and managing matrix composition at the most appropriate spatial scales.

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Section: Discussionsupporting

confidence: 84%

Relative Contribution of Matrix Structure, Patch Resources and Management to the Local Densities of Two Large Blue Butterfly Species

et al. 2016

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“…The juveniles of these species most probably disperse more across the landscape than those of other species and their numbers may not necessarily reflect the quality of the local habitat conditions for breeding. It is known that passerine juveniles disperse from their natal home range after birth and that dispersal behaviour might vary across species depending on the landscape composition and the learning strategies (Skórka et al ). A quantitative analysis of the link between this scale dependency observed in our results and traits such as juvenile dispersal (DeSante et al ) would provide insights into the mechanisms behind the observed pattern.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the reliability of species distribution models with an indirect measure of bird reproductive performance

Aizpurua

Cantú‐Salazar

Martin

et al. 2017

Journal of Avian Biology

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Measures of fitness such as reproductive performance are considered reliable indicators of habitat quality for a species. Such measures are, however, only available in a restricted number of sites, which prevents them from being used to quantify habitat quality across landscapes or regions. Alternatively, species presence records can be used along with environmental variables to build models that predict the distribution of species across larger spatial extents. Model predictions are often used for management purposes as they are assumed to describe the quality of the habitats to support a species. Yet, given that species are often present both in optimal and suboptimal areas, the use of data collected during the breeding season to build these models may potentially result in misleading predictions of habitat quality for the reproduction of the species, with potentially significant conservation consequences. In this study we analysed the relationship between fitness parameters informing on habitat quality for reproduction and predictions of species distribution models at multiple spatial scales using two independent sets of data. For 19 passerine bird species, we compared an indirect measure of reproductive performance (ratio of juveniles‐to‐adults) – obtained from Constant Effort Sites (CES) mist‐netting data in Catalonia – with the predictions of models based on bird presence records collected during the Catalan Breeding Bird Atlas (CBBA). A positive relationship between the predictions derived from species distribution models and the reproductive performance of the species was found for almost half of the species at one or more spatial scales. This result suggests that species distribution models may help to predict habitat quality for some species over some extents. However, caution is needed as this is not consistent for all species at all scales. Further work based on species‐ and scale‐specific approaches is now required to understand in which situations species distribution models provide predictions that are in line with reproductive performance.

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“…However, we do not know if wintering birds colonising are juveniles or adults (see Skórka et al, 2016 for differential response of young and adult birds to the same environmental variables). In case it is juveniles (following natal dispersal), long-term previous experience would still count if juveniles follow adults to their wintering sites.…”

Section: Discussionmentioning

confidence: 99%

Local prior information and mainland overflow explain avian colonisation in a major land‐bridge island

Martínez‐Abraín

Crespo

Rebassa

2023

Journal of Biogeography

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Aim:The relative roles of intrinsic and extrinsic factors, and those of local and regional variables, in island colonisation, remain major biogeographical questions. Thus, we analysed avian colonisation records of a large land-bridge island, defining successful colonisation as the occurrence of breeding during at least 3 consecutive years, at species level with the aim of identifying the main determinants of island colonisation by birds. Location: Mallorca (Balearic Islands, western Mediterranean).Major Taxa: All avian species recorded in Mallorca Island. Methods:We performed logistic regression by fitting generalised linear mixed models to data. We explored seven explanatory variables and performed model selection based on Akaike's information criterion.Results: A total of 26 bird species colonised the island during the study period, a rate of ca. 0.7 colonising species/year. Only seven species were found to attempt colonisation unsuccessfully. Bird species with the highest colonisation probabilities were those with growing population trends on the mainland and a previous status as wintering species on the island (0.58), followed by wintering species with a stable population trend on the mainland (0.37). Main Conclusions:The high rate of colonisation indicates that the process of incorporation of new species has been very dynamic. Colonisation was dependent on a local factor (having prior information about the island) and a regional factor (density dependence on the nearby continent). However, it was not influenced by body size, diet, habitat or IUCN level of threat. Based on the results of our modelling, we present a predictive list of likely future colonisers.

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Response of young and adult birds to the same environmental variables and different spatial scales during post breeding period

Cited by 12 publications

References 49 publications

Relative Contribution of Matrix Structure, Patch Resources and Management to the Local Densities of Two Large Blue Butterfly Species

Relative Contribution of Matrix Structure, Patch Resources and Management to the Local Densities of Two Large Blue Butterfly Species

Evaluating the reliability of species distribution models with an indirect measure of bird reproductive performance

Local prior information and mainland overflow explain avian colonisation in a major land‐bridge island

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