Physiology-based modelling approaches to characterize fish habitat suitability

their usefulness and limitations

L.R. Teal, Stefano Marras, M.A. Peck, Paolo Domenici

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)

Abstract

Models are useful tools for predicting the impact of global change on species distribution and abundance. As ectotherms, fish are being challenged to adapt or track changes in their environment, either in time through a phenological shift or in space by a biogeographic shift. Past modelling efforts have largely been based on correlative Species Distribution Models, which use known occurrences of species across landscapes of interest to define sets of conditions under which species are likely to maintain populations. The practical advantages of this correlative approach are its simplicity and the flexibility in terms of data
requirements. However, effective conservation management requires models that make projections beyond the range of available data. One way to deal with such an extrapolation is to use a mechanistic approach based on physiological processes underlying climate change effects on organisms. Here we illustrate two approaches for developing physiology-based models to characterize fish habitat suitability. (i) Aerobic Scope Models (ASM) are based on the relationship between environmental factors and aerobic scope (defined as the difference between maximum and standard (basal) metabolism). This approach is based on experimental data collected by using a number of treatments that allow a function to be derived to predict aerobic metabolic scope from the stressor/environmental factor(s). This function is then integrated with environmental (oceanographic) data of current and future scenarios. For any given species, this approach allows habitat suitability maps to be generated at various spatiotemporal scales. The strength of the ASM approach relies on the estimate of relative performance when comparing, for example, different locations or different species. (ii) Dynamic Energy Budget (DEB) models are based on first principles including the idea that metabolism is organised in the same way within all animals. The (standard) DEB model aims to describe empirical relationships which can be found consistently within physiological data across the animal kingdom. The advantages of the DEB models are that they make use
of the generalities found in terms of animal physiology and can therefore be applied to species for which little data or empirical observations are available. In addition, the limitations as well as useful potential refinements of these and other physiology-based modelling approaches are discussed. Inclusion of the
physiological response of various life stages and modelling the patterns of extreme events observed in nature are suggested for future work
Original languageEnglish
Pages (from-to)56-63
JournalEstuarine Coastal and Shelf Science
Volume201
Early online date2015
DOIs
Publication statusPublished - 5 Feb 2018

Fingerprint

physiology
habitat
fish
habitats
modeling
energy budget
environmental factor
metabolism
energy
biogeography
animal
conservation management
extreme event
basal metabolism
animal physiology
global change
environmental factors
animals
climate change
organisms

Keywords

  • physiology-based models
  • dynamic energy budget
  • aerobic scope
  • species distribution
  • fish
  • conservation biology

Cite this

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abstract = "Models are useful tools for predicting the impact of global change on species distribution and abundance. As ectotherms, fish are being challenged to adapt or track changes in their environment, either in time through a phenological shift or in space by a biogeographic shift. Past modelling efforts have largely been based on correlative Species Distribution Models, which use known occurrences of species across landscapes of interest to define sets of conditions under which species are likely to maintain populations. The practical advantages of this correlative approach are its simplicity and the flexibility in terms of datarequirements. However, effective conservation management requires models that make projections beyond the range of available data. One way to deal with such an extrapolation is to use a mechanistic approach based on physiological processes underlying climate change effects on organisms. Here we illustrate two approaches for developing physiology-based models to characterize fish habitat suitability. (i) Aerobic Scope Models (ASM) are based on the relationship between environmental factors and aerobic scope (defined as the difference between maximum and standard (basal) metabolism). This approach is based on experimental data collected by using a number of treatments that allow a function to be derived to predict aerobic metabolic scope from the stressor/environmental factor(s). This function is then integrated with environmental (oceanographic) data of current and future scenarios. For any given species, this approach allows habitat suitability maps to be generated at various spatiotemporal scales. The strength of the ASM approach relies on the estimate of relative performance when comparing, for example, different locations or different species. (ii) Dynamic Energy Budget (DEB) models are based on first principles including the idea that metabolism is organised in the same way within all animals. The (standard) DEB model aims to describe empirical relationships which can be found consistently within physiological data across the animal kingdom. The advantages of the DEB models are that they make useof the generalities found in terms of animal physiology and can therefore be applied to species for which little data or empirical observations are available. In addition, the limitations as well as useful potential refinements of these and other physiology-based modelling approaches are discussed. Inclusion of thephysiological response of various life stages and modelling the patterns of extreme events observed in nature are suggested for future work",
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Physiology-based modelling approaches to characterize fish habitat suitability : their usefulness and limitations. / Teal, L.R.; Marras, Stefano; Peck, M.A.; Domenici, Paolo.

In: Estuarine Coastal and Shelf Science, Vol. 201, 05.02.2018, p. 56-63.

Research output: Contribution to journalArticleAcademicpeer-review

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T2 - their usefulness and limitations

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AU - Marras, Stefano

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