Value of ringing information for bird conservation in Europe

Spina, Fernando

doi:10.1080/03078698.1999.9674209

Cited by 13 publications

(10 citation statements)

References 21 publications

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“…Similar data are collected in many other countries (e.g. Spina ; Gregory et al . ; Saracco, DeSante & Kaschube ), but key features of the BTO's programme are the volume of data collected (representing a combined effort equivalent to c .…”

Section: Methodssupporting

confidence: 59%

Integrating demographic data: towards a framework for monitoring wildlife populations at large spatial scales

2014

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Summary1. Landscapes are becoming increasingly intensively managed resulting in greater anthropogenic disturbance of ecosystems. Effective policies for conservation and management of wildlife populations will require a mechanistic understanding of the processes underlying the population responses to these changes. Detailed demographic studies are often of individual populations in relatively stable habitats, whereas there is a need to characterize demographic variation at larger scales in wider landscapes that are subject to environmental change. 2. We use long-term (18-46 years) data sets, gathered by volunteers across Britain, to parameterize Bayesian state-space demographic population models for 17 widely occurring bird species. As some demographic processes were not quantified directly, we introduce a scaling parameter (q) to account for this unmeasured variation, and assess the extent to which this influences our ability to understand the processes driving population change.3. The population models provided a good fit to the population trajectory in all but one species (the nocturnal tawny owl Strix aluco). The scaling parameter generally showed little annual variation and did not make a major contribution (<12%) to population change among passerine species. For five non-passerine species, the contribution was still not large (11-21%), but did indicate the importance of unmeasured demographic variables in these species. 4. We were able to retrieve known demographic signals both within and across species. The importance of the nest failure rates was greater for species that construct nests in open rather than cavity situations. We also confirmed the demographic causes of population decline in two species of conservation concern, song thrush and lapwing, as changes in juvenile survival and reproductive success respectively. Furthermore, we show that population dynamics of declining species are generally driven more by recruitment than increasing species (for which variation in adult survival is more important).5. These analyses demonstrate that volunteer-based monitoring programmes can provide insight into population changes at large spatial scales across a range of species. By facilitating the combination of data sets on different demographic parameters, the integrated approach adopted here allows important demographic parameters to be identified, even if they are not measured directly.

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Section: Methodssupporting

confidence: 59%

Integrating demographic data: towards a framework for monitoring wildlife populations at large spatial scales

2014

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“…et al., ), but most of their breeding range occurs in remote portions of the boreal forest that lie well north of established monitoring programs (Saracco, DeSante, & Kaschube, ; Sauer & Link, ). However, they are well sampled by migrant banding stations (Leppold & Mulvihill, ), so an approach that could estimate survival, fecundity, and population trajectory as birds pass southward during fall migration would be very useful for population monitoring, and could be applicable to numerous other Holarctic species with extreme northern breeding distributions (Hussell & Ralph, ; Spina, ). Model‐based fecundity estimates seemed reasonable for both pintails and juncos, but precision was poor given small numbers of within‐season recaptures, so I also conducted a simulation study to identify necessary sample sizes for obtaining more precise estimates.…”

Section: Introductionmentioning

confidence: 99%

Using ring‐recovery and within‐season recapture data to estimate fecundity and population growth

Arnold

2018

Ecology and Evolution

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Tag‐recovery data from organisms captured and marked post breeding are commonly used to estimate juvenile and adult survival. If annual fecundity could also be estimated, tagging studies such as European and North American bird‐ringing schemes could provide all parameters needed to estimate population growth. I modified existing tag‐recovery models to allow estimation of annual fecundity using age composition and recapture probabilities obtained during routine banding operations of northern pintails (Anas acuta) and dark‐eyed juncos (Junco hyemalis), and I conducted simulations to assess estimator performance in relation to sample size. For pintails, population growth rate from band‐recovery data (λ = 0.93, SD: 0.06) was similar but less precise than count‐based estimates from the Waterfowl Breeding Pair and Habitat Survey (λ: 0.945, SE: 0.001). Models with temporal variation in vital rates indicated that annual population growth in pintails was driven primarily by variation in fecundity. Juncos had lower survival but greater fecundity, and their estimated population growth rate (λ: 1.01, SD: 0.19) was consistent with count‐based surveys (λ: 0.986). Simulations indicated that reliable (CV < 0.10) estimates of fecundity could be obtained with >1,000 within‐season live encounters. Although precision of survival estimates depended primarily on numbers of adult recoveries, estimates of fecundity and population growth were most sensitive to total number of live encounters. Synthesis and applications: Large‐scale ring‐recovery programs could be used to estimate annual fecundity in many species of birds, but the approach requires better data curation, including accurate assessment of age, better reporting of banding totals, and greater emphasis on obtaining and reporting within‐season live encounters.

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“…In Europe, EURING has proposed an ef®cient co-ordinate system of scienti®c coding and collecting data on ringed birds since 1966 (Spina, 1999). Each national ringing center adhering to the EURING network collects all information, which are matched according to the individual ring code, about the birds for which at least one capture±recapture event occurs in that country.…”

Section: Introductionmentioning

confidence: 99%

Bayesian hierarchical generalized linear models for a geographical subset of recovery data

Trivisano

2002

Environmetrics

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SUMMARYThe aim of this work is to check whether modi®cations in the length of the hunting seasons had an effect on the chance of reproduction of different species of ringed birds. We start from a national data set of ringing-recovered data on three species of game birds. Only data on birds recovered as juveniles are used. Data on recoveries are organized in a 4-way contingency table. Several generalized linear models are proposed for the counts of recovered birds. Bayesian hierarchical modeling is particularly suitable for this kind of data, for which an overdispersion parameter can be introduced at the second level of the hierarchy. Maximum Likelihood and Bayesian solutions are computed for the different models: the Bayesian framework, in particular under an individual modeling of over-dispersion, exhibits the best ®t in terms of Bayesian p-value. The results show that the modi®cation in the length of the hunting seasons does not produce equal bene®ts for the three species considered.

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Value of ringing information for bird conservation in Europe

Cited by 13 publications

References 21 publications

Integrating demographic data: towards a framework for monitoring wildlife populations at large spatial scales

Integrating demographic data: towards a framework for monitoring wildlife populations at large spatial scales

Using ring‐recovery and within‐season recapture data to estimate fecundity and population growth

Bayesian hierarchical generalized linear models for a geographical subset of recovery data

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