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Abstract
Estimation of abundance and demographic rates for populations of wild species is a challenging but fundamental issue for both ecological research and wildlife management. One set of approaches that has been used extensively to estimate abundance of wildlife populations is Distance Sampling (DS) for line or point transect survey data. The first implementations of DS models were only available as closed population models, and did not allow for the estimation of changes in abundance through time. The advent of open population formulations based on the DS framework greatly extended the scope of the models, but much untapped potential remains in models that estimate temporal dynamics not only in abundance but also in the underlying demographic rates. Here, we present an integrated distance sampling approach that utilizes age-structured survey data and auxiliary data from marked individuals to jointly estimate population density and the demographic rates (recruitment rate and survival probability) that drive temporal changes in density. The resulting model is equivalent to an integrated population model with a two age classes: juveniles and adults. The integrated framework allows making full use of the available data by effectively combining line transect and telemetry data, and can easily be adapted to include additional and/or different data types. Moreover, as demographic rates often respond to environmental variation, our approach also supports direct estimation of the effects of such environmental covariates on demographic rates. Through a comprehensive simulation study we show that the model is able to adequately recover true population and vital rate dynamics. Subsequent application to data from a study of willow ptarmigan (Lagopus lagopus) in Norway showcases the frameworks ability to recover both fluctuations and trends in population dynamics and highlights its potential applicability to a wide range of species surveyed using distance sampling approaches.
DOI
https://doi.org/10.32942/X2Q899
Subjects
Ecology and Evolutionary Biology, Life Sciences, Population Biology
Keywords
Integrated population model; distance sampling; monitoring; demography; willow ptarmigan
Dates
Published: 2024-01-09 11:14
Last Updated: 2024-09-11 07:38
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License
CC BY Attribution 4.0 International
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Language:
English
Conflict of interest statement:
We decleare that we have no conflict of interest or financial interest to the content in this manuscript
Data and Code Availability Statement:
The raw data from the line transect surveys is deposited on GBIF and can be accessed freely via the Living Norway Data Portal (https://data.livingnorway.no). The work here is based on version 1.7 of the dataset “Tetraonid line transect surveys from Norway: Data from Fjellstyrene” (key b49a2978-0e30-4748-a99f-9301d17ae119). The auxiliary radio-telemetry data and rodent occupancy data, and all code used for wrangling, analysing, and visualizing data and results can be found in the project’s repository on GitHub: https://github.com/ErlendNilsen/OpenPop_Integrated_DistSamp. The results presented in this paper were created using version 1.3 of the code (ChloeRNater et al. 2024). Supplementary figures and posterior samples from the model run on the real data are available as a time-stamped open archived on Open Science Framework (Nilsen and Nater 2024).
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