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Animal biometrics: quantifying and detecting phenotypic appearance.

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Title: Animal biometrics: quantifying and detecting phenotypic appearance.
Authors: Kühl, Hjalmar S.1 kuehl@eva.mpg.de, Burghardt, Tilo2
Source: Trends in Ecology & Evolution. Jul2013, Vol. 28 Issue 7, p432-441. 10p.
Subjects: Biometry, Phenotypes, Biogeography, Population ecology, Behavioral research, Ecology, Biotic communities
Abstract: Animal biometrics is an emerging field that develops quantified approaches for representing and detecting the phenotypic appearance of species, individuals, behaviors, and morphological traits. It operates at the intersection between pattern recognition, ecology, and information sciences, producing computerized systems for phenotypic measurement and interpretation. Animal biometrics can benefit a wide range of disciplines, including biogeography, population ecology, and behavioral research. Currently, real-world applications are gaining momentum, augmenting the quantity and quality of ecological data collection and processing. However, to advance animal biometrics will require integration of methodologies among the scientific disciplines involved. Such efforts will be worthwhile because the great potential of this approach rests with the formal abstraction of phenomics, to create tractable interfaces between different organizational levels of life. [Copyright &y& Elsevier]
Copyright of Trends in Ecology & Evolution 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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PubType: Academic Journal
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  Data: <searchLink fieldCode="DE" term="%22Biometry%22">Biometry</searchLink><br /><searchLink fieldCode="DE" term="%22Phenotypes%22">Phenotypes</searchLink><br /><searchLink fieldCode="DE" term="%22Biogeography%22">Biogeography</searchLink><br /><searchLink fieldCode="DE" term="%22Population+ecology%22">Population ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Behavioral+research%22">Behavioral research</searchLink><br /><searchLink fieldCode="DE" term="%22Ecology%22">Ecology</searchLink><br /><searchLink fieldCode="DE" term="%22Biotic+communities%22">Biotic communities</searchLink>
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  Data: Animal biometrics is an emerging field that develops quantified approaches for representing and detecting the phenotypic appearance of species, individuals, behaviors, and morphological traits. It operates at the intersection between pattern recognition, ecology, and information sciences, producing computerized systems for phenotypic measurement and interpretation. Animal biometrics can benefit a wide range of disciplines, including biogeography, population ecology, and behavioral research. Currently, real-world applications are gaining momentum, augmenting the quantity and quality of ecological data collection and processing. However, to advance animal biometrics will require integration of methodologies among the scientific disciplines involved. Such efforts will be worthwhile because the great potential of this approach rests with the formal abstraction of phenomics, to create tractable interfaces between different organizational levels of life. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Trends in Ecology & Evolution 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.)
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        Value: 10.1016/j.tree.2013.02.013
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        Text: English
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        PageCount: 10
        StartPage: 432
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      – SubjectFull: Biometry
        Type: general
      – SubjectFull: Phenotypes
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      – SubjectFull: Biogeography
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      – SubjectFull: Population ecology
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      – SubjectFull: Behavioral research
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      – SubjectFull: Ecology
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      – SubjectFull: Biotic communities
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      – TitleFull: Animal biometrics: quantifying and detecting phenotypic appearance.
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              Text: Jul2013
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              Y: 2013
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