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JournalISSN: 0394-1914

Hystrix-italian Journal of Mammalogy 

Associazione Teriologica Italiana
About: Hystrix-italian Journal of Mammalogy is an academic journal. The journal publishes majorly in the area(s): Population & Lutra. It has an ISSN identifier of 0394-1914. Over the lifetime, 751 publications have been published receiving 10117 citations.


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Journal ArticleDOI
TL;DR: The concept of sliding semilandmarks is introduced and the algorithm can be used to estimate missing data in incomplete specimens and applications and limitations of this method are discussed.
Abstract: Quantitative shape analysis using geometric morphometrics is based on the statistical analysis of landmark coordinates. Many structures, however, cannot be quantified using traditional landmarks. Semilandmarks make it possible to quantify two or three-dimensional homologous curves and sur- faces, and analyse them together with traditional landmarks. Here we first introduce the concept of sliding semilandmarks and discuss applications and limitations of this method. In a second part we show how the sliding semilandmark algorithm can be used to estimate missing data in incomplete specimens. Download the complete "Yellow Book" on "Virtual Morphology and Evolutionary Morphometrics in the new millenium".

646 citations

Journal ArticleDOI
TL;DR: The development and the present state of the “tps” series of software for use in geometric morphometrics on Windows-based computers are described and used in hundreds of studies in mammals and other organisms.
Abstract: The development and the present state of the “tps” series of software for use in geometric morphometrics on Windows-based computers are described. These programs have been used in hundreds of studies in mammals and other organisms. Download the complete issue.

617 citations

Journal ArticleDOI
TL;DR: This review describes the Procrustes paradigm and the current methodological toolkit of geometric morphometrics, and highlights some of the theoretical advances that have occurred over the past ten years since the prior review (Adams et al., 2004).
Abstract: Twenty years ago, Rohlf and Marcus proclaimed that a “revolution in morphometrics” was underway, where classic analyses based on sets of linear distances were being supplanted by geometric approaches making use of the coordinates of anatomical landmarks. Since that time the field of geometric morphometrics has matured into a rich and cohesive discipline for the study of shape variation and covariation. The development of the field is identified with the Procrustes paradigm, a methodological approach to shape analysis arising from the intersection of the statistical shape theory and analytical procedures for obtaining shape variables from landmark data. In this review we describe the Procrustes paradigm and the current methodological toolkit of geometric morphometrics. We highlight some of the theoretical advances that have occurred over the past ten years since our prior review (Adams et al., 2004), what types of anatomical structures are amenable to these approaches, and how they extend the reach of geometric morphometrics to more specialized applications for addressing particular biological hypotheses. We end with a discussion of some possible areas that are fertile ground for future development in the field.

588 citations

Journal ArticleDOI
TL;DR: The "ultimate camera trap", as desired by wildlife biologists, and the current technological limitations of camera traps in relation to their potential for a number of emerging applications are summarized.
Abstract: Automatically triggered cameras taking photographs or videos of passing animals (camera traps) have emerged over the last decade as one of the most powerful tool for wildlife research. In parallel, a wealth of camera trap systems and models has become commercially available, a phenomenon mainly driven by the increased use of camera traps by sport hunters. This has raised the need for developing criteria to choose the suitable camera trap model in relation to a range of factors, primarily the study aim, but also target species, habitat, trapping site, climate and any other aspect that affects camera performance. There is also fragmented information on the fundamentals of sampling designs that deploy camera trapping, such as number of sampling sites, spatial arrangement and sampling duration. In this review, we describe the relevant technological features of camera traps and propose a set of the key ones to be evaluated when choosing camera models. These features are camera specifications such as trigger speed, sensor sensitivity, detection zone, flash type and flash intensity, power autonomy, and related specifications. We then outline sampling design and camera features for the implementation of major camera trapping applications, specifically: (1) faunal inventories, (2) occupancy studies, (3) density estimation through Capture-Mark-Recapture and (4) density estimation through the Random Encounter Model. We also review a range of currently available models and stress the need for standardized testing of camera models that should be frequently updated and widely distributed. Finally we summarize the "ultimate camera trap", as desired by wildlife biologists, and the current technological limitations of camera traps in relation to their potential for a number of emerging applications. Download the complete issue.

330 citations

Journal ArticleDOI
TL;DR: Facial allometry might be an important confounding factor in studies of face perception and human mate choice and it is demonstrated how deformation grids and reconstructed shapes or forms can be used as powerful tools to visualize shape and form dierences.
Abstract: We briefly and informally review the concepts of size, shape, and form and how they are estimated in geometric morphometrics using Procrustes analysis. We demonstrate how deformation grids and reconstructed shapes or forms can be used as powerful tools to visualize shape and form dierences. Complexpatternsofindividualor groupdierencescanbestudiedeectiv elybyordinations of shape space or form space. Allometry, the statistical relationship between size and shape, is estimated in geometric morphometrics by regression of the Procrustes shape coordinates on centroid size. We illustrate these methods by an application to human face shape. We reveal shape cues to body size in the adult male face, partly resembling ontogenetic allometry. Facial allometry might thus be an important confounding factor in studies of face perception and human mate choice.

282 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202130
202024
201926
201836
201743
201636