Integrating dynamic plant growth models and microclimates for species distribution modelling

Schouten, Rafael; Vesk, Peter A.; Kearney, Michael R.

doi:10.1016/j.ecolmodel.2020.109262

Cited by 22 publications

(18 citation statements)

References 59 publications

(115 reference statements)

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“…Advances in modelling finescale spatial and temporal variation in microclimate can increasingly reveal when climatic conditions acting on individuals or biotic interactions regulate such range expansions [40,63,64]. Such approaches may permit a mechanistic understanding of range shifts, and higher resolution models of species distributions [48,65,66]. Incorporating robust evidence of the effects of microclimate and biotic interactions on range dynamics may thus improve understanding and prediction of ecological responses to climate change.…”

Section: Discussionmentioning

confidence: 99%

Microclimate and resource quality determine resource use in a range-expanding herbivore

et al. 2021

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The consequences of climate change for biogeographic range dynamics depend on the spatial scales at which climate influences focal species directly and indirectly via biotic interactions. An overlooked question concerns the extent to which microclimates modify specialist biotic interactions, with emergent properties for communities and range dynamics. Here, we use an in-field experiment to assess egg-laying behaviour of a range-expanding herbivore across a range of natural microclimatic conditions. We show that variation in microclimate, resource condition and individual fecundity can generate differences in egg-laying rates of almost two orders of magnitude in an exemplar species, the brown argus butterfly ( Aricia agestis ). This within-site variation in fecundity dwarfs variation resulting from differences in average ambient temperatures among populations. Although higher temperatures did not reduce female selection for host plants in good condition, the thermal sensitivities of egg-laying behaviours have the potential to accelerate climate-driven range expansion by increasing egg-laying encounters with novel hosts in increasingly suitable microclimates. Understanding the sensitivity of specialist biotic interactions to microclimatic variation is, therefore, critical to predict the outcomes of climate change across species' geographical ranges, and the resilience of ecological communities.

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Section: Discussionmentioning

confidence: 99%

Microclimate and resource quality determine resource use in a range-expanding herbivore

et al. 2021

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“…Energy and mass budget models of organism are emerging for both animals and plants (Higgins et al, 2012;Kearney & Porter, 2020;Levy et al, 2016;Schouten, 2020). We argue that they can provide a fundamental basis for making the link (via parameter, threshold, model or estimation functional traits) between traits and performance.…”

Section: Con Clud Ing Remark S: Le T the Con Cep T Of Tr Ait B E Theore Ti C Al!mentioning

confidence: 97%

Where do functional traits come from? The role of theory and models

et al. 2021

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The use of traits is growing in ecology and biodiversity informatics, with initiatives to collate trait data and integrate it into biodiversity databases. A need to develop better predictive capacity for how species respond to environmental change has in part motivated this focus. Functional traits are of most interest—those with a defined link to individual survival, development, growth and reproduction. Non‐trivial challenges arise immediately in deciding which functional traits to prioritise and how to characterise them. Here we discuss the advantages of a theoretical perspective for defining functional traits in the context of dynamical systems models of energy and mass exchange that link organisms to their environments. We argue that the theoretical frameworks upon which such models are built (biophysical ecology, metabolic theory) provide clear criteria to decide upon functional trait definitions, measurement requirements and associated metadata, via their mathematical connection to model parameters and state variables, and thus to system performance (survival, development, growth and reproduction). We distinguish ‘descriptive’ traits from ‘functional’ traits by dividing the latter into four classes—parameter, model, threshold and estimation—according to whether they are model parameters, define model structure, are threshold state variables or can be used to estimate model parameters. We develop a decision tree for this classification and illustrate it in the context of mammalian heat exchange but emphasise the scheme's generality to any kind of organism. We show how a theoretical perspective may change how we prioritise traits for collection and databasing in ways that are not necessarily more difficult to achieve, especially with new technologies, and provide clear guidance for requisite metadata. The use of theoretically driven criteria for prioritising the collection of functional trait data will maximise the generality, quality and consistency of trait databases for comparative analyses. Such databases will simultaneously facilitate the development of integrated predictive modelling frameworks across multiple organisational scales from individuals to ecosystems. A free Plain Language Summary can be found within the Supporting Information of this article.

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“…In DEB theory, the reserve concept allows explicit consideration of fluctuating food (the 'dynamic' part of DEB theory) and its effect on body condition if the elemental compositions of reserve and structure differ and their relative amounts change. The introduction of multiple reserves in DEB theory together with the innovation of the 'synthesizing unit' dynamics (Kooijman, 1998) can also permit the consideration of multiple limiting nutrients (Schouten, Vesk, & Kearney, 2020) and ultimately link to food chains and ecosystem dynamics (Nisbet et al, 2000;Kuijper et al, 2004;Kearney et al, 2010;Sperfeld et al, 2017). These features of current metabolic theory are not widely appreciated in mainstream research on ecological stoichiometry but have great potential to unify ecological studies of nutrition, stoichiometry and energetics (Sperfeld et al, 2017).…”

Section: (4) Mass Balance and Stoichiometrymentioning

confidence: 99%

“…Life histories are the outcome of natural selection acting to optimise reproductive success within the constraints imposed by energy, mass and time budgets (Stearns, 1992;Roff, 2002). These constraints involve trade-offs necessitated by the laws of thermodynamics and the specific architecture of metabolism.…”

Section: (7) Life History and Evolutionmentioning

confidence: 99%

“…Most life-history analyses have been done on the basis of optimisation arguments without an underlying metabolic framework (Stearns, 1992;e.g. Kozłowski, 1992;Charnov, 1993;Roff, 2002). However, the physical and chemical constraints on growth, maintenance, development and reproduction assumed in a metabolic theory should capture those life-history patterns that are driven primarily by constraints.…”

Section: (7) Life History and Evolutionmentioning

confidence: 99%

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What is the status of metabolic theory one century afterPütter invented the vonBertalanffy growth curve?

Kearney

2020

Biological Reviews

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Metabolic theory aims to tackle ecological and evolutionary problems by explicitly including physical principles of energy and mass exchange, thereby increasing generality and deductive power. Individual growth models (IGMs) are the fundamental basis of metabolic theory because they represent the organisational level at which energy and mass exchange processes are most tightly integrated and from which scaling patterns emerge. Unfortunately, IGMs remain a topic of great confusion and controversy about the origins of the ideas, their domain and breadth of application, their logical consistency and whether they can sufficiently capture reality. It is now 100 years since the first theoretical model of individual growth was put forward by Pütter. His insights were deep, but his model ended up being attributed to von Bertalanffy and his ideas largely forgotten. Here I review Pütter's ideas and trace their influence on existing theoretical models for growth and other aspects of metabolism, including those of von Bertalanffy, the Dynamic Energy Budget (DEB) theory, the Gill‐Oxygen Limitation Theory (GOLT) and the Ontogenetic Growth Model (OGM). I show that the von Bertalanffy and GOLT models are minor modifications of Pütter's original model. I then synthesise, compare and critique the ideas of the two most‐developed theories, DEB theory and the OGM, in relation to Pütter's original ideas. I formulate the Pütter, DEB and OGM models in the same structure and with the same notation to illustrate the major similarities and differences among them. I trace the confusion and controversy regarding these theories to the notions of anabolism, catabolism, assimilation and maintenance, the connections to respiration rate, and the number of parameters and state variables their models require. The OGM model has significant inconsistencies that stem from the interpretation of growth as the difference between anabolism and maintenance, and these issues seriously challenge its ability to incorporate development, reproduction and assimilation. The DEB theory is a direct extension of Pütter's ideas but with growth being the difference between assimilation and maintenance rather than anabolism and catabolism. The DEB theory makes the dynamics of Pütter's ‘nutritive material’ explicit as well as extending the scheme to include reproduction and development. I discuss how these three major theories for individual growth have been used to explain ‘macrometabolic’ patterns including the scaling of respiration, the temperature–size rule (first modelled by Pütter), and the connection to life history. Future research on the connections between theory and data in these macrometabolic topics have the greatest potential to advance the status of metabolic theory and its value for pure and applied problems in ecology and evolution.

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Integrating dynamic plant growth models and microclimates for species distribution modelling

Cited by 22 publications

References 59 publications

Microclimate and resource quality determine resource use in a range-expanding herbivore

Microclimate and resource quality determine resource use in a range-expanding herbivore

Where do functional traits come from? The role of theory and models

What is the status of metabolic theory one century afterPütter invented the vonBertalanffy growth curve?

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