Published December 4, 2023 | Version v1

Telemetry data from: Realized thermal niche approach eliminates temperature bias in 3 bioenergetic model estimates

  • 1. ROR icon University of Windsor
  • 2. ROR icon Ministry of Natural Resources and Forestry

Description

Raw data for Ivanova et al paper in Ecology and Evolution

Datafile is an .rds file.

Abstract

Abstract: Bioenergetics models estimate ectotherm growth, production, and prey consumption – all key for effective ecosystem management during changing global temperatures. Based on species-specific allometric and thermodynamic relationships these models typically use the species' lab-derived optimum temperatures (physiological optimum) as opposed to empirical field data (realized thermal niche) that reflect actual thermal experience. Yet, dynamic behavioural thermoregulation mediated by biotic and abiotic interactions may provide substantial divergence between physiological optimum and realized thermal niche temperatures to significantly bias model outcomes. Here, using the Wisconsin bioenergetics model and in-situ year-round temperature data, we tested the two approaches and compared the maximum attainable lifetime weight and lifetime prey consumption estimates for two salmonid species with differing life-histories. We demonstrate that using the realized thermal niche is the better approach because it eliminates significant biases in estimates produced by the physiological optimum. Specifically, using the physiological optimum, slower-growing Salvelinus namaycush maximum attainable lifetime weight was underestimated, and consumption overestimated, while fast-growing Oncorhynchus tshawytscha maximum attainable weight was overestimated. While the physiological optimum approach is useful for theoretical studies, our results demonstrate the critical importance that models used by management utilize up-to-date system- and species-specific field data representing actual in-situ behaviours (i.e., realized thermal niche). 

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Additional details

Funding

Great Lakes Fishery Commission
Ministry of Natural Resources and Forestry
Natural Sciences and Engineering Research Council

Dates

Available
2017-08/2019-04