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New insights to be gained from a Virtual Ecosystem.

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Title: New insights to be gained from a Virtual Ecosystem.
Authors: Ewers, Robert M.1 (AUTHOR) r.ewers@imperial.ac.uk, Cook, Jacob1 (AUTHOR), Daniel, Olivia Z.1 (AUTHOR), Orme, C.David L.1 (AUTHOR), Groner, Vivienne1 (AUTHOR), Joshi, Jaideep2,3,4,5 (AUTHOR), Rallings, Anna1 (AUTHOR), Rallings, Taran1 (AUTHOR), Amarasekare, Priyanga6 (AUTHOR)
Source: Ecological Modelling. Dec2024, Vol. 498, pN.PAG-N.PAG. 1p.
Subjects: Biotic communities, Abiotic environment, Population ecology, Climatology, Soil science
Abstract: · Holistic models are needed to capture ecosystem complexity and connectivity. · The Virtual Ecosystem connects plant, animal, soil microbial and abiotic domains. · Such models can unify the understanding of ecosystems among disciplines. The myriad interactions among individual plants, animals, microbes and their abiotic environment generate emergent phenomena that will determine the future of life on Earth. Here, we argue that holistic ecosystem models – incorporating key biological domains and feedbacks between biotic and abiotic processes and capable of predicting emergent phenomena – are required if we are to understand the functioning of complex, terrestrial ecosystems in a rapidly changing planet. We argue that holistic ecosystem models will provide a framework for integrating the many approaches used to study ecosystems, including biodiversity science, population and community ecology, soil science, biogeochemistry, hydrology and climate science. Holistic models will provide new insights into the nature and importance of feedbacks that cut across scales of space and time, and that connect ecosystem domains such as microbes with animals or above with below ground. They will allow us to critically examine the origins and maintenance of ecosystem stability, resilience and sustainability through the lens of systems theory, and provide a much-needed boost for conservation and the management of natural environments. We outline our approach to developing a holistic ecosystem model – the Virtual Ecosystem – and argue that while the construction of such complex models is obviously ambitious, it is both feasible and necessary. [ABSTRACT FROM AUTHOR]
Copyright of Ecological Modelling is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 180700100
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: New insights to be gained from a Virtual Ecosystem.
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  Data: <searchLink fieldCode="AR" term="%22Ewers%2C+Robert+M%2E%22">Ewers, Robert M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> r.ewers@imperial.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Cook%2C+Jacob%22">Cook, Jacob</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Daniel%2C+Olivia+Z%2E%22">Daniel, Olivia Z.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Orme%2C+C%2EDavid+L%2E%22">Orme, C.David L.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Groner%2C+Vivienne%22">Groner, Vivienne</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Joshi%2C+Jaideep%22">Joshi, Jaideep</searchLink><relatesTo>2,3,4,5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rallings%2C+Anna%22">Rallings, Anna</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rallings%2C+Taran%22">Rallings, Taran</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Amarasekare%2C+Priyanga%22">Amarasekare, Priyanga</searchLink><relatesTo>6</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Ecological+Modelling%22">Ecological Modelling</searchLink>. Dec2024, Vol. 498, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Biotic+communities%22">Biotic communities</searchLink><br /><searchLink fieldCode="DE" term="%22Abiotic+environment%22">Abiotic environment</searchLink><br /><searchLink fieldCode="DE" term="%22Population+ecology%22">Population ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Climatology%22">Climatology</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+science%22">Soil science</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: · Holistic models are needed to capture ecosystem complexity and connectivity. · The Virtual Ecosystem connects plant, animal, soil microbial and abiotic domains. · Such models can unify the understanding of ecosystems among disciplines. The myriad interactions among individual plants, animals, microbes and their abiotic environment generate emergent phenomena that will determine the future of life on Earth. Here, we argue that holistic ecosystem models – incorporating key biological domains and feedbacks between biotic and abiotic processes and capable of predicting emergent phenomena – are required if we are to understand the functioning of complex, terrestrial ecosystems in a rapidly changing planet. We argue that holistic ecosystem models will provide a framework for integrating the many approaches used to study ecosystems, including biodiversity science, population and community ecology, soil science, biogeochemistry, hydrology and climate science. Holistic models will provide new insights into the nature and importance of feedbacks that cut across scales of space and time, and that connect ecosystem domains such as microbes with animals or above with below ground. They will allow us to critically examine the origins and maintenance of ecosystem stability, resilience and sustainability through the lens of systems theory, and provide a much-needed boost for conservation and the management of natural environments. We outline our approach to developing a holistic ecosystem model – the Virtual Ecosystem – and argue that while the construction of such complex models is obviously ambitious, it is both feasible and necessary. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Ecological Modelling is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=180700100
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.ecolmodel.2024.110866
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Biotic communities
        Type: general
      – SubjectFull: Abiotic environment
        Type: general
      – SubjectFull: Population ecology
        Type: general
      – SubjectFull: Climatology
        Type: general
      – SubjectFull: Soil science
        Type: general
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      – TitleFull: New insights to be gained from a Virtual Ecosystem.
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            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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              Value: 498
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