Data from: Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models ...
Identifying the spatial scale of population structuring is critical for the conservation of natural populations and for drawing accurate ecological inferences. However, population studies often use spatially aggregated data to draw inferences about population trends and drivers, potentially masking...
| Main Authors: | , , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
Dryad
2018
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.td8nb https://datadryad.org/stash/dataset/doi:10.5061/dryad.td8nb |
| Summary: | Identifying the spatial scale of population structuring is critical for the conservation of natural populations and for drawing accurate ecological inferences. However, population studies often use spatially aggregated data to draw inferences about population trends and drivers, potentially masking ecologically relevant population sub-structure and dynamics. The goals of this study were to investigate how population dynamics models with and without spatial structure affect inferences on population trends and the identification of intrinsic drivers of population dynamics (e.g. density dependence). Specifically, we developed dynamic, age-structured, state-space models to test different hypotheses regarding the spatial structure of a population complex of coastal Atlantic cod (Gadus morhua). Data were from a 93-year survey of juvenile (age 0 and 1) cod sampled along >200 km of the Norwegian Skagerrak coast. We compared two models: one which assumes all sampled cod belong to one larger population, and a ... : Beach seine catches of juvenile codBeach seine catches of juvenile Atlantic cod (Gadus morhua), with ages determined by length-frequency distributions. Columns are 1) Region or Fjord, 2) Station, 3) Year, 4) Catch of age-0 cod, 5) Catch of age-1 cod.Age0_Age1_catches.csv ... |
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