DOI: 10.1016/j.tree.2013.02.013
论文题名: Animal biometrics: Quantifying and detecting phenotypic appearance
作者: Kühl H.S. ; Burghardt T.
刊名: Trends in Ecology and Evolution
ISSN: 1695347
出版年: 2013
卷: 28, 期: 7 起始页码: 432
结束页码: 441
语种: 英语
Scopus关键词: animal
; behavioral ecology
; biogeography
; biometry
; morphology
; phenotype
; population ecology
; research work
; animal
; automated pattern recognition
; biometry
; ecology
; evaluation study
; methodology
; phenotype
; review
; Animals
; Biometry
; Ecology
; Pattern Recognition, Automated
; Phenotype
; Animalia
英文摘要: 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. © 2013 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67399
Appears in Collections: 全球变化的国际研究计划 气候变化与战略
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作者单位: Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany; Department of Computer Science, University of Bristol, Woodland Road, Bristol, BS8 1UB, United Kingdom
Recommended Citation:
Kühl H.S.,Burghardt T.. Animal biometrics: Quantifying and detecting phenotypic appearance[J]. Trends in Ecology and Evolution,2013-01-01,28(7)