Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers.
| Title: | Analysis of movement recursions to detect reproductive events and estimate their fate in central place foragers. |
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| Authors: | Picardi S; Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, University of Florida, 3205 College Ave, Davie, FL 33314 USA.; Smith BJ; Deparmtent of Wildland Resources, Ecology Center, Utah State University, Logan, UT 84322 USA.; Boone ME; Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, University of Florida, 3205 College Ave, Davie, FL 33314 USA.; Frederick PC; Department of Wildlife Ecology and Conservation, University of Florida, 368 Newins-Ziegler Hall, Gainesville, FL 32611 USA.; Cecere JG; Area Avifauna Migratrice, Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), via Cà Fornacetta 9, I-40064 Ozzano Emilia, BO Italy.; Rubolini D; Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, via Celoria 26, I'20133 Milan, Italy.; Serra L; Area Avifauna Migratrice, Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), via Cà Fornacetta 9, I-40064 Ozzano Emilia, BO Italy.; Pirrello S; Area Avifauna Migratrice, Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), via Cà Fornacetta 9, I-40064 Ozzano Emilia, BO Italy.; Borkhataria RR; Department of Wildlife Ecology and Conservation, Everglades Research and Education Center, University of Florida, 3200 E Palm Beach Rd, Belle Glade, FL 33430 USA.; Basille M; Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, University of Florida, 3205 College Ave, Davie, FL 33314 USA. |
| Source: | Movement ecology [Mov Ecol] 2020 Jun 03; Vol. 8, pp. 24. Date of Electronic Publication: 2020 Jun 03 (Print Publication: 2020). |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101635009 Publication Model: eCollection Cited Medium: Print ISSN: 2051-3933 (Print) Linking ISSN: 20513933 NLM ISO Abbreviation: Mov Ecol Subsets: PubMed not MEDLINE |
| Imprint Name(s): | Original Publication: London : BioMed Central, 2013- |
| Abstract: | Background: Recursive movement patterns have been used to detect behavioral structure within individual movement trajectories in the context of foraging ecology, home-ranging behavior, and predator avoidance. Some animals exhibit movement recursions to locations that are tied to reproductive functions, including nests and dens; while existing literature recognizes that, no method is currently available to explicitly target different types of revisited locations. Moreover, the temporal persistence of recursive movements to a breeding location can carry information regarding the fate of breeding attempts, but it has never been used as a metric to quantify recursive movement patterns. Here, we introduce a method to locate breeding attempts and estimate their fate from GPS-tracking data of central place foragers. We tested the performance of our method in three bird species differing in breeding ecology (wood stork (Mycteria americana), lesser kestrel (Falco naumanni), Mediterranean gull (Ichthyaetus melanocephalus)) and implemented it in the R package 'nestR'.; Methods: We identified breeding sites based on the analysis of recursive movements within individual tracks. Using trajectories with known breeding attempts, we estimated a set of species-specific criteria for the identification of nest sites, which we further validated using non-reproductive individuals as controls. We then estimated individual nest survival as a binary measure of reproductive fate (success, corresponding to fledging of at least one chick, or failure) from nest-site revisitation histories during breeding attempts, using a Bayesian hierarchical modeling approach that accounted for temporally variable revisitation patterns, probability of visit detection, and missing data.; Results: Across the three species, positive predictive value of the nest-site detection algorithm varied between 87 and 100% and sensitivity between 88 and 92%, and we correctly estimated the fate of 86-100% breeding attempts.; Conclusions: By providing a method to formally distinguish among revisited locations that serve different ecological functions and introducing a probabilistic framework to quantify temporal persistence of movement recursions, we demonstrated how the analysis of recursive movement patterns can be applied to estimate reproduction in central place foragers. Beyond avian species, the principles of our method can be applied to other central place foraging breeders such as denning mammals. Our method estimates a component of individual fitness from movement data and will help bridge the gap between movement behavior, environmental factors, and their fitness consequences.; (© The Author(s) 2020.) |
| Competing Interests: | Competing interestsThe authors declare that they have no competing interests. |
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| Contributed Indexing: | Keywords: Bayesian hierarchical models; Breeding-site detection; Fitness; GPS telemetry; Nest survival; R package; Recursive movement patterns; nestR |
| Entry Date(s): | Date Created: 20200611 Latest Revision: 20220414 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC7268620 |
| DOI: | 10.1186/s40462-020-00201-1 |
| PMID: | 32518652 |
| Database: | MEDLINE |
Journal Article