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Modelling the effects of environmental change on populations is a key challenge for ecologists, particularly as the pace of change increases. Currently, modelling efforts are limited by difficulties in establishing robust relationships between environmental drivers and population responses. We developed an integrated capture-recapture state-space model to estimate the effects of two key environmental drivers (stream flow and temperature) on demographic rates (body growth, movement and survival) using a long-term (11 years), high-resolution (individually tagged, sampled seasonally) data set of brook trout (Salvelinus fontinalis) from four sites in a stream network. Our integrated model provides an effective context...
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This dataset contains records from implanted and not implanted temperature logging tags, body sizes of fish implanted with temperature logging tags, times the fish/tags were transferred from one temperature to another, and the time the temperature recorded by the tag equilibrated with ambient water conditions. Data were collected to compare thermal equilibration rate of temperature recording tags implanted in the coelomic cavity of lab reared brook trout to temperature recording tags not implanted in fish. Tagged fish and not implanted tags were moved rapidly between 8 C and 16 C and also subjected to slow (2 C per hour) thermal ramp.
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Data contain metabolic rates of red-backed salamanders (Plethodon cinereus) exposed to different thermal regimes, and the movements of salamanders marked with PIT tags and exposed to electromagnetic fields.
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