scholarly journals Geography of artiodactyl locomotor morphology as an environmental predictor

2021 ◽  
Author(s):  
Rachel A. Short ◽  
A. Michelle Lawing
Keyword(s):  
Environmental Predictor

scholarly journals Toward an environmental predictor of tuna recruitment

2020 ◽  
Vol 29 (5) ◽  
pp. 436-441 ◽  
Author(s):  
Phoebe A. Woodworth‐Jefcoats ◽  
Johanna L. K. Wren
Keyword(s):  
Environmental Predictor

Resposta do Controle Postural em Superfície Inclinada: uma Revisão de Literatura

2019 ◽  
Vol 23 (1) ◽  
pp. 61
Author(s):  
Silvana Rocha Silveira
Keyword(s):  
Horizontal Plane ◽  
Human Mobility ◽  
Clinical Intervention ◽  
The Elderly ◽  
Force Platform ◽  
Pressure Center ◽  
Inclined Surfaces ◽  
Contrôle Postural ◽  
Urban Accessibility ◽  
Environmental Predictor

ResumoO controle postural é um requisito imprescindível para a execução das habilidades motoras durante as atividades de vida diária, logo, há a necessidade constante de ajuste dos segmentos corporais para garantir a autonomia e a independência da mobilidade humana. Os ajustes posturais são resultantes da interação do sistema sensório-motor e da sua correlação com o meio ambiente, produzindo orientação e estabilidade postural esperada durante a execução das atividades, sendo essa estática ou dinâmica. Deste modo, o objetivo do estudo foi apresentar os impactos funcionais ocorridos durante a posição de pé parada ou em movimento em superfície de inclinada, principalmente, entre os idosos. O estudo se fundamentou na revisão bibliográfica, no período temporal de 2006 a 2016, por meio da análise das bases de dados em Pubmed, Ebsco, SciELO, Medline e Lilacs, com a utilização dos termos: Plataforma de força, plano inclinado, plano horizontal e comportamento do centro de pressão. Os resultados apontaram que as situações rotineiras do dia a dia, realizadas em superfícies inclinadas, como um mero ato de subir ou até ficar parado em uma ladeira, pode ser um preditor ambiental para instabilidade postural, tornando-se necessário a reavaliação do olhar da intervenção terapêutica meramente clínica, passando a ampliar para as circunstâncias vinculadas com as questões da acessibilidade urbana. Palavras chaves: Plataforma de Força. Plano Horizontal. Comportamento do Centro de Pressão. Abstract Postural control is an essential requirement for the performance of motor skills during  daily living activities, so there is a constant need to adjust body segments to guarantee the autonomy and independence of human mobility. Postural adjustments result from the interaction of the sensorimotor system and their  correlation with the environment, producing orientation and postural stability expected during the execution of the activities, being static or dynamic. Thus, the objective of the study was to present the functional impacts occurred during standing or moving position on inclined surface, mainly among the elderly. The study was based on the bibliographic review, in the period from 2006 to 2016, through the analysis of databases in Pubmed, Ebsco, SciELO, Medline and Lilacs, using the terms Force platform, inclined plane, horizontal plane and pressure center behavior. The results showed that routine everyday situations on inclined surfaces, such as a mere act of climbing or even standing on a slope, may be an environmental predictor for postural instability, making it necessary to re-evaluate the clinical intervention, starting to extend the issues of urban accessibility to the related circumstances. Keywords: Force Platform. Horizontal Plane. Pressure Center Behavior.

Environmental Predictor of Allergen in Dust Samples and Its Relation to Total IgE Levels in Cord Blood in Cuernavaca, Morelos Mexico

Epidemiology ◽  
2009 ◽  
Vol 20 ◽  
pp. S220
Author(s):  
Leticia Hernandez-Cadena ◽  
Albino Barraza-Villarreal ◽  
Michel Sever ◽  
Darryl Zeldin ◽  
María Consuelo Escamilla-Nuñez ◽  
...  
Keyword(s):  
Cord Blood ◽  
Total Ige ◽  
Environmental Predictor

Analysis of the Habitat Associations of a Hypothetical Beetle Species

2021 ◽  
pp. 117-134
Author(s):  
Joseph A. Veech
Keyword(s):  
Woody Debris ◽  
Canopy Cover ◽  
Habitat Associations ◽  
Beetle Species ◽  
Habitat Analysis ◽  
Oak Trees ◽  
Environmental Predictor ◽  
Components Analysis ◽  
Classification And Regression ◽  
Study Sites

A dataset for a hypothetical ground-dwelling beetle species is used to illustrate five methods of habitat analysis: (1) comparison of group means, (2) multiple linear regression, (3) multiple logistic regression, (4) classification and regression trees, and (5) principal components analysis. The dataset consists of abundance (counts of individuals) recorded in each of 100 small survey plots located throughout forested study sites. The following environmental predictor variables were measured in each plot: percentage canopy cover, depth of leaf litter, volume of woody debris, ratio of oak to non-oak trees, and soil type. Techniques for assessing normality of each variable and multicollinearity among variables are discussed and recommended prior to conducting the habitat analysis. Assumptions, strengths, and weaknesses of each method are discussed.

scholarly journals Environmental Drivers of Variation in Labial Teeth Number in Ascaphus Tadpoles

2020 ◽  
Author(s):  
Christina M. Martinez ◽  
Amanda S. Cicchino ◽  
W. Chris Funk ◽  
Brenna R. Forester
Keyword(s):  
Environmental Conditions ◽  
Canopy Cover ◽  
Rocky Mountain ◽  
Experimental Tests ◽  
Strong Relationship ◽  
Environmental Drivers ◽  
Environmental Predictors ◽  
Functional Relationships ◽  
Ascaphus Truei ◽  
Environmental Predictor

ABSTRACTAnuran tadpoles exhibit extraordinary diversity in mouthpart morphology, reflecting phylogenetic relationships, life history specializations, and ecological adaptations. In this study, we investigate patterns and potential environmental drivers of variation in labial teeth counts across and within the coastal tailed frog (Ascaphus truei) and the Rocky Mountain tailed frog (A. montanus), which together constitute the basal frog family Ascaphidae. Tailed frogs occupy cold, fast-flowing, high gradient streams in mesic forests of western North America, with differences in environmental conditions that reflect their coastal and continental distributions. Despite a very strong relationship between the number of labial teeth and developmental (Gosner) stage, we found significant relationships between tooth counts and site-specific environmental predictors after controlling for stage. The most important environmental predictor varied between the species, with percent canopy cover for A. truei and average benthic substrate size for A. montanus. There were also differences in the overall tooth counts between species, with A. truei having more teeth in all rows compared to A. montanus. These findings demonstrate that differences in oral morphology in response to local environmental conditions can override the homogenizing effects of gene flow in both Ascaphus species, likely through a combination of local adaptation and phenotypic plasticity. Follow-up investigations should include the assessment of community level variability across sites, and experimental tests to confirm functional relationships between environmental variation and oral morphology, in addition to partitioning genetic from plastic mechanisms.

scholarly journals Urban Multi-scale Environmental Predictor (UMEP): An integrated tool for city-based climate services

2018 ◽  
Vol 99 ◽  
pp. 70-87 ◽  
Author(s):  
Fredrik Lindberg ◽  
C.S.B. Grimmond ◽  
Andrew Gabey ◽  
Bei Huang ◽  
Christoph W. Kent ◽  
...  
Keyword(s):  
Climate Services ◽  
Multi Scale ◽  
Environmental Predictor

Types of Data and the General Framework of Analysis

2021 ◽  
pp. 83-88
Author(s):  
Joseph A. Veech
Keyword(s):  
Statistical Tests ◽  
Spatial Scales ◽  
Activity Level ◽  
Environmental Data ◽  
Habitat Characteristics ◽  
Predictor Variables ◽  
Response Variable ◽  
Habitat Analysis ◽  
Environmental Predictor ◽  
Study Sites

For most habitat analyses, researchers typically collect and examine environmental data from the landscape scale (a few square kilometers to hundreds of square kilometers) all the way down to the scale of a microhabitat (tens of square meters). At the larger spatial extents, the data may be GIS-based such as spatially referenced land cover data. At smaller spatial scales, the data may be collected (variables measured) in the field at the study sites. Data for a habitat analysis are often based on randomly located and spatially delineated sampling or survey plots. The environmental data compose a set of a few to tens of predictor variables that are used in statistical tests for a relationship with the response variable that is typically species presence–absence, abundance (counts of individuals), or activity level. Depending on the spatial scale of analysis, predictor variables could represent different environmental variables such as vegetation structure, soil properties, and other characteristics of the substrate. Climate and weather variables are environmental, but they are not considered to be characteristics of the habitat. The formal habitat analysis consists of testing for a statistical relationship between the response variable and one or more environmental predictor variables so as to identify those variables that truly are habitat characteristics. A study of the habitat of the brown-throated sloth in Costa Rica is used to further explain the type of data used in characterizing the habitat of a species.

Using Digital Elevation Models as an Environmental Predictor for Soil Clay Contents

2012 ◽  
Vol 76 (6) ◽  
pp. 2116-2127 ◽  
Author(s):  
Mogens H. Greve ◽  
Rania Bou Kheir ◽  
Mette B. Greve ◽  
Peder K. Bøcher
Keyword(s):  
Digital Elevation Models ◽  
Digital Elevation ◽  
Environmental Predictor ◽  
Soil Clay

Ecological niche modelling

2019 ◽  
pp. 60-73 ◽  
Author(s):  
Damaris Zurell ◽  
Jan O. Engler
Keyword(s):  
Ecological Niche ◽  
Potential Distribution ◽  
Species Distributions ◽  
Learning Approaches ◽  
Future Perspectives ◽  
Ecological Niche Models ◽  
Niche Modelling ◽  
Environmental Predictor ◽  
Change Context ◽  
Niche Models

Impact assessments increasingly rely on models to project the potential impacts of climate change on species distributions. Ecological niche models have become established as an efficient and widely used method for interpolating (and sometimes extrapolating) species’ distributions. They use statistical and machine-learning approaches to relate species’ observations to environmental predictor variables and identify the main environmental determinants of species’ ranges. Based on this estimated species–environment relationship, the species’ potential distribution can be mapped in space (and time). In this chapter, we explain the concept and underlying assumptions of ecological niche models, describe the basic modelling steps using the silvereye (Zosterops lateralis) as a simple real-world example, identify potential sources of uncertainty in underlying data and in the model, and discuss potential limitations as well as latest developments and future perspectives of ecological niche models in a global change context.

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