GATE Ecology and Evolution Syllabus (EY) – Download in PDF

By | May 18, 2020
GATE Ecology and Evolution Syllabus (EY)

Ecology is the branch which deals with the interaction of the organisms with their environment. Evolution is the study of the process by which modern organisms have evolved from their ancestors. This article will give you complete information regarding the GATE Ecology and Evolution Syllabus.

GATE Ecology and Evolution Syllabus (EY)

GATE Ecology and Evolution (EY) consists of Four Sections.

  1. Ecology.
  2. Evolution.
  3. Mathematics and Quantitative Ecology.
  4. Behavioural Ecology.

Section 1: Ecology

Population ecology: metapopulation dynamics; growth rates; density-independent growth; density-dependent growth; niche concept;

Species interactions: Plant-animal interactions; mutualism, commensalism, competition and predation; trophic interactions; functional ecology; ecophysiology; behavioural ecology;

Community ecology: Community assembly, organization and evolution; biodiversity: species richness, evenness and diversity indices; endemism; species-area relationships;

Ecosystem structure, function and services; nutrient cycles; biomes; habitat ecology; primary and secondary productivity; invasive species; global and climate change; applied ecology.

Section 2: Evolution

Origin, evolution and diversification of life; natural selection; levels of selection.

Types of selection (stabilizing, directional etc.); sexual selection; genetic drift; gene flow; adaptation; convergence; species concepts;

Life history strategies; adaptive radiation; biogeography and evolutionary ecology;

Origin of genetic variation; Mendelian genetics; polygenic traits, linkage and recombination; epistasis, gene-environment interaction; heritability; population genetics;

Molecular evolution; molecular clocks; systems of classification: cladistics and phenetics; molecular systematics; gene expression and evolution.

Section 3: Mathematics and Quantitative Ecology

Mathematics and statistics in ecology; Simple functions (linear, quadratic, exponential, logarithmic, etc); the concept of derivatives and slope of a function; permutations and combinations; basic probability (probability of random events; sequences of events, etc); frequency distributions and their descriptive statistics (mean, variance, coefficient of
variation, correlation, etc).

Statistical hypothesis testing: Concept of p-value; Type I and Type II error, test statistics like t-test and Chi-square test; basics of linear regression and ANOVA.

Section 4: Behavioural Ecology

Classical ethology; neuroethology; evolutionary ethology; chemical, acoustic and visual signalling

Mating systems; sexual dimorphism; mate choice; parenting behaviour Competition; aggression; foraging behaviour; predator-prey interactions; Sociobiology: kin selection, altruism, costs and benefits of group-living.

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