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Population Ecology
This chapter provides a comprehensive overview of population ecology, offering valuable insights into the dynamics and interactions that shape the...
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Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling
BackgroundMixed models are used to correct for confounding due to population stratification and hidden relatedness in genome-wide association...
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Population Genomics of Soybean
Soybean (Glycine max (L.) Merr) is a major oilseed crop globally with major production in the USA, Brazil, Argentina, China, and India. Significant...
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Population Genomic Analysis of Diploid-Autopolyploid Species
This chapter outlines an empirical analysis of genome-wide single-nucleotide polymorphism (SNP) variation and its underlying drivers among multiple...
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A mixed-methods, population-based study of a syndemic in Soweto, South Africa
A syndemic has been theorized as a cluster of epidemics driven by harmful social and structural conditions wherein the interactions between the...
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Population Dynamics
In this chapter we present how ecologists and biological pest control researchers can assess the role of natural enemies in pest insect population...
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Population Ecology
Populations of species are foundational building blocks in communities and ecosystems throughout the biosphere. How do these populations achieve...
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Introduction to Generalized Linear Mixed Models
Chapter 15 investigated linear mixed-effects models (LMMs). This chapter introduces generalized linear mixed...
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Monitoring and Population Density Estimation
Effective Integrated Pest Management (IPM) programs rely heavily on accurate knowledge of pest and beneficial organism populations. Within the...
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Population Structure and Speciation
Population genetic analysis enables us to understand genetic differences within and across populations or species, and provides a basis for...
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Population Mobility and Urban Development
Development is the primary issue facing cities in the world today. Urban development is inseparable from the support of labor. The population...
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Bird population changes in urban green spaces explained by regional population trends
Urban bird species represent a subset of the regional species pool, consisting of species that have been able to survive in, or colonise, urban...
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Modeling the Dynamics of Avian Populations in Europe (1980–2019) through Generalized Additive Mixed Models
AbstractThe population abundance of birds is an important way to gauge the sustainability and health of the environment. However, several factors...
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Mycobacterium tuberculosis strain lineage in mixed tribal population across India and Andaman Nicobar Island
In India, the tribal population constitutes almost 8.6% of the nation’s total population. Despite their large presence, there are only a few reports...
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Linear Mixed Models
The linear mixed model framework is explained in detail in this chapter. We explore three methods of parameter estimation (maximum likelihood, EM...
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Visual perceptual learning of feature conjunctions leverages non-linear mixed selectivity
Visual objects are often defined by multiple features. Therefore, learning novel objects entails learning feature conjunctions. Visual cortex is...
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Establishment and characterization of DPC-X4: a novel mixed-type ampullary cancer cell line
Mixed-type ampullary cancer is a distinct subtype of ampullary cancer that manifests a merging of the biological characteristics of both intestinal...
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Higher frequency of legitimate pollinators and fruit set of autotetraploid trees of Libidibia ferrea (Leguminosae) compared to diploids in a mixed tropical urban population
In mixed-ploidy populations, newly formed polyploids initially occur at low frequencies when compared to diploids. However, polyploidy may lead to...
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Linear Mixed-Effects Models for Longitudinal Microbiome Data
Longitudinal microbiome data analysis can be categorized into two approaches: univariate longitudinal analysis and multivariate longitudinal...
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Generalized Linear Mixed Models for Non-normal Responses
Generalized linear mixed models (GLMMs) have been recognized as one of the major methodological developments in recent years, which is evidenced by...