Download Gate Syllabus for Ecology and Evolution (EY) pdf
GATE 2020 Syllabus and Paper Pattern
| GATE Paper (Code) | Ecology and Evolution (EY) |
| Total Number of Questions | 65 |
| Total Marks | 100 |
| Time Duration of Exam | 3 Hours |
| Marks Distribution | 15 marks from General Aptitude 85 Marks from Core Subjects of Paper |
1. General Aptitude
Verbal Ability: English grammar, sentence completion, verbal analogies, word groups, instructions, critical reasoning and verbal deduction.
Numerical Ability: Numerical computation, numerical estimation, numerical reasoning and data interpretation.
2. 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.
3. 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.
4. Mathematics and Quantitative Ecology
Mathematics and statistics in ecology; Simple functions (linear, quadratic, exponential, logarithmic, etc); 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.
5. Behavioural Ecology
Classical ethology; neuroethology; evolutionary ethology; chemical, acoustic and visual signaling
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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