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  1. AU="Roberts, Jessica A"
  2. AU=Arutyunov G P
  3. AU="Strautmanis, Jurgis"
  4. AU="Klein, Friederike"
  5. AU=Richards JoAnne S.
  6. AU="Nair, Venugopalan D"
  7. AU="Anne Fåne"
  8. AU=Liang John W
  9. AU="Segura-Martínez, Patricia"
  10. AU="Cao, Xi-Ming"
  11. AU="Labaronne, Emmanuel"
  12. AU="Shimpukade, Bharat"
  13. AU="Claude, Pierre-Abel"
  14. AU="Rocha Vogel, Angus"
  15. AU="Larkin, J"
  16. AU="Gilbert, A."
  17. AU="Jérémie Bruno"
  18. AU="Barg, Alexej"
  19. AU="Niranjan, M"
  20. AU="Solomon, Hilla"
  21. AU="de Aguiar Junior, Francisco Carlos Amanajás"
  22. AU=Carley David W
  23. AU="Solvig Ekblad"
  24. AU=Gibertoni Dino
  25. AU="Sein, Maung Kyaw"
  26. AU="Yun-Fei Xia"

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  1. Artikel ; Online: Mechanistic forecasts of species responses to climate change: The promise of biophysical ecology

    Briscoe, Natalie J. / Morris, Shane D. / Mathewson, Paul D. / Buckley, Lauren B. / Jusup, Marko / Levy, Ofir / Maclean, Ilya / Pincebourde, Sylvain / Riddell, Eric A. / Roberts, Jessica A. / Schouten, Rafael / Sears, Michael W. / Kearney, Michael Ray

    Global Change Biology. 2023 Mar., v. 29, no. 6 p.1451-1470

    2023  

    Abstract: A core challenge in global change biology is to predict how species will respond to future environmental change and to manage these responses. To make such predictions and management actions robust to novel futures, we need to accurately characterize how ...

    Abstract A core challenge in global change biology is to predict how species will respond to future environmental change and to manage these responses. To make such predictions and management actions robust to novel futures, we need to accurately characterize how organisms experience their environments and the biological mechanisms by which they respond. All organisms are thermodynamically connected to their environments through the exchange of heat and water at fine spatial and temporal scales and this exchange can be captured with biophysical models. Although mechanistic models based on biophysical ecology have a long history of development and application, their use in global change biology remains limited despite their enormous promise and increasingly accessible software. We contend that greater understanding and training in the theory and methods of biophysical ecology is vital to expand their application. Our review shows how biophysical models can be implemented to understand and predict climate change impacts on species' behavior, phenology, survival, distribution, and abundance. It also illustrates the types of outputs that can be generated, and the data inputs required for different implementations. Examples range from simple calculations of body temperature at a particular site and time, to more complex analyses of species' distribution limits based on projected energy and water balances, accounting for behavior and phenology. We outline challenges that currently limit the widespread application of biophysical models relating to data availability, training, and the lack of common software ecosystems. We also discuss progress and future developments that could allow these models to be applied to many species across large spatial extents and timeframes. Finally, we highlight how biophysical models are uniquely suited to solve global change biology problems that involve predicting and interpreting responses to environmental variability and extremes, multiple or shifting constraints, and novel abiotic or biotic environments.
    Schlagwörter body temperature ; climate change ; computer software ; energy ; heat ; phenology
    Sprache Englisch
    Erscheinungsverlauf 2023-03
    Umfang p. 1451-1470.
    Erscheinungsort John Wiley & Sons, Ltd
    Dokumenttyp Artikel ; Online
    Anmerkung REVIEW
    ZDB-ID 1281439-8
    ISSN 1365-2486 ; 1354-1013
    ISSN (online) 1365-2486
    ISSN 1354-1013
    DOI 10.1111/gcb.16557
    Datenquelle NAL Katalog (AGRICOLA)

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    Verfügbar in ZB MED Bonn

    Z 6338: Hefte anzeigen

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  2. Artikel ; Online: Mechanistic forecasts of species responses to climate change: The promise of biophysical ecology.

    Briscoe, Natalie J / Morris, Shane D / Mathewson, Paul D / Buckley, Lauren B / Jusup, Marko / Levy, Ofir / Maclean, Ilya M D / Pincebourde, Sylvain / Riddell, Eric A / Roberts, Jessica A / Schouten, Rafael / Sears, Michael W / Kearney, Michael Ray

    Global change biology

    2022  Band 29, Heft 6, Seite(n) 1451–1470

    Abstract: A core challenge in global change biology is to predict how species will respond to future environmental change and to manage these responses. To make such predictions and management actions robust to novel futures, we need to accurately characterize how ...

    Abstract A core challenge in global change biology is to predict how species will respond to future environmental change and to manage these responses. To make such predictions and management actions robust to novel futures, we need to accurately characterize how organisms experience their environments and the biological mechanisms by which they respond. All organisms are thermodynamically connected to their environments through the exchange of heat and water at fine spatial and temporal scales and this exchange can be captured with biophysical models. Although mechanistic models based on biophysical ecology have a long history of development and application, their use in global change biology remains limited despite their enormous promise and increasingly accessible software. We contend that greater understanding and training in the theory and methods of biophysical ecology is vital to expand their application. Our review shows how biophysical models can be implemented to understand and predict climate change impacts on species' behavior, phenology, survival, distribution, and abundance. It also illustrates the types of outputs that can be generated, and the data inputs required for different implementations. Examples range from simple calculations of body temperature at a particular site and time, to more complex analyses of species' distribution limits based on projected energy and water balances, accounting for behavior and phenology. We outline challenges that currently limit the widespread application of biophysical models relating to data availability, training, and the lack of common software ecosystems. We also discuss progress and future developments that could allow these models to be applied to many species across large spatial extents and timeframes. Finally, we highlight how biophysical models are uniquely suited to solve global change biology problems that involve predicting and interpreting responses to environmental variability and extremes, multiple or shifting constraints, and novel abiotic or biotic environments.
    Mesh-Begriff(e) Ecosystem ; Climate Change ; Ecology ; Forecasting ; Hot Temperature
    Sprache Englisch
    Erscheinungsdatum 2022-12-30
    Erscheinungsland England
    Dokumenttyp Journal Article ; Review
    ZDB-ID 1281439-8
    ISSN 1365-2486 ; 1354-1013
    ISSN (online) 1365-2486
    ISSN 1354-1013
    DOI 10.1111/gcb.16557
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

    Volltext online

    Zusatzmaterialien

    Kategorien

    Verfügbar in ZB MED Bonn

    Z 6338: Hefte anzeigen

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

    Fernleihe an ZB MED

    Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

  3. Buch ; Online: Mechanistic forecasts of species responses to climate change

    Briscoe, Natalie J. / Morris, Shane D. / Mathewson, Paul D. / Buckley, Lauren B. / Jusup, Marko / Levy, Ofir / Maclean, Ilya M. D. / Pincebourde, Sylvain / Riddell, Eric A. / Roberts, Jessica A. / Schouten, Rafael / Sears, Michael W. / Kearney, Michael R.

    the promise of biophysical ecology

    2022  

    Abstract: A challenge in global change biology is to predict how species will respond to future environmental change and to manage these responses. To make such predictions and management actions robust to novel futures, we need to accurately characterize how ... ...

    Abstract A challenge in global change biology is to predict how species will respond to future environmental change and to manage these responses. To make such predictions and management actions robust to novel futures, we need to accurately characterize how organisms experience their environments and the biological mechanisms by which they respond. All organisms are thermodynamically connected to their environments through the exchange of heat and water at fine spatial and temporal scales and this exchange can be captured with biophysical models. Although mechanistic models based on biophysical ecology have a long history of development and application, their use in global change biology remains limited despite their enormous promise and increasingly accessible software. We contend that greater understanding and training in the theory and methods of biophysical models is vital to expand their application. Our review shows how biophysical models can be implemented to understand and predict climate change impacts on species' behavior, phenology, survival, distribution, and abundance. We illustrate the types of outputs that can be generated, and the data inputs required for different implementations. Examples range from simple calculations of body temperature to more complex analyses of species' distribution limits based on projected energy and water balances, accounting for behavior and phenology. We outline challenges that currently limit the widespread application of biophysical models. We discuss progress and future developments that could allow these models to be applied to many species across large spatial extents and timeframes. We highlight how biophysical models are uniquely suited to solve global change biology problems that involve predicting and interpreting responses to environmental variability and extremes, multiple or shifting constraints, and novel abiotic or biotic environments.
    Schlagwörter Quantitative Biology - Populations and Evolution
    Thema/Rubrik (Code) 333
    Erscheinungsdatum 2022-10-29
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Volltext online

    Zusatzmaterialien

    Kategorien

    Fernleihe an ZB MED

    Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

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