LAISHA
Open Laisha

ICAR AIEEA-PG Forestry Research Methods & Experimental Design: practice questions

ICAR AIEEA-PG — Forestry/Agroforestry & Silviculture (Major Subject Group 09) · India · National Testing Agency for ICAR

Original practice questions written to the published syllabus · not past papers
10worked here, free
21written to this exam in this subject
9syllabus units

What this subject covers

Designing and analysing forestry research: field experiments with long-lived trees, advanced designs, mixed models, long-term plots and scientific writing.

In the exams: ICAR AICE-JRF 59 (PhD level across units); ICAR AICE-JRF Part A; ASRB NET and ARS recruitment

Where the 21 questions fall

How our questions for ICAR AIEEA-PG spread across the units of Forestry Research Methods & Experimental Design. Difficulty: 19 easy, 2 medium, 0 hard.

Scientific method and research problem formulation3
Field experiments with trees: plot size, borders, replication3
Research ethics, data management and reproducible analysis3
Scientific writing, peer review and research proposals3
Factorial, split-plot and incomplete block designs2
Mixed-effects models and repeated measures2
Multivariate methods: PCA, cluster analysis, ordination2
Meta-analysis and systematic reviews2
Long-term experiments and permanent sample plots1

10 practice questions, worked

Choose an answer, then open the working. Each explanation says why the right answer is right and why the others are not.

1 · Field experiments with trees: plot size, borders, replication · easy

Border rows around a measured plot in a spacing or fertiliser trial are used to:

  1. Increase the number of trees measured in each plot
  2. Absorb competition from neighbouring treatments
  3. Mark the plot so that it can be found later
  4. Provide spare trees for destructive sampling only
Answer and working

B. Absorb competition from neighbouring treatments

Edge trees are influenced by neighbouring treatments, so they receive the plot's treatment but are not measured.

Further reading: Gomez K; Montgomery D; Hurlbert S; Williams E

2 · Field experiments with trees: plot size, borders, replication · medium

In a long-term trial, dead seedlings in the first season are replaced. Good practice requires:

  1. Replacements of any vigorous seedlot that happens to be available
  2. Replacing dead trees only in the control plots
  3. Replacements of the same seedlot, with the replacement recorded
  4. Removing the plot from the analysis
Answer and working

C. Replacements of the same seedlot, with the replacement recorded

Using the same seedlot keeps the treatment unchanged; recording replacements allows later analysis to account for them.

Further reading: Gomez K; Montgomery D; Hurlbert S; Williams E

3 · Field experiments with trees: plot size, borders, replication · easy

Uniformity trials, in which one treatment is applied to a whole field and small units are harvested separately, are used to:

  1. Compare the yields of several new clones
  2. Study variability and choose plot size and shape
  3. Measure the effect of fertiliser rates on tree growth
  4. Estimate the cost of field operations
Answer and working

B. Study variability and choose plot size and shape

Uniformity trials show how variance changes with plot size and orientation, guiding design.

Further reading: Gomez K; Montgomery D; Hurlbert S; Williams E

4 · Mixed-effects models and repeated measures · easy

In a provenance trial replicated in blocks, blocks are usually treated as:

  1. Fixed effects of interest
  2. Random effects
  3. Response variables
  4. Covariance structures
Answer and working

B. Random effects

Blocks are a sample of possible blocks and are of interest only through their variance; provenances chosen for comparison are often fixed.

Further reading: Gomez K; Montgomery D; Hurlbert S; Williams E

5 · Mixed-effects models and repeated measures · easy

A model in which each tree has its own intercept and growth rate, varying around the population average, uses:

  1. Fixed intercepts only
  2. Random intercepts and random slopes
  3. A completely randomised design with subsampling
  4. Principal component scores
Answer and working

B. Random intercepts and random slopes

Random intercepts and slopes allow tree-to-tree variation in starting size and growth rate.

Further reading: Gomez K; Montgomery D; Hurlbert S; Williams E

6 · Multivariate methods: PCA, cluster analysis, ordination · easy

PERMANOVA is used to test:

  1. Whether a single response variable is normally distributed
  2. Differences in multivariate composition among groups
  3. The number of principal components to keep
  4. The correlation between two tree heights
Answer and working

B. Differences in multivariate composition among groups

PERMANOVA compares groups on a dissimilarity matrix using permutations, without assuming multivariate normality.

Further reading: Gomez K; Montgomery D; Hurlbert S; Williams E

7 · Long-term experiments and permanent sample plots · easy

Why are permanent sample plots preferred to temporary plots for estimating forest growth?

  1. Permanent plots are cheaper to establish than temporary ones
  2. Temporary plots cannot measure tree diameter
  3. Permanent plots never need to be remeasured
  4. Remeasuring the same trees estimates change precisely
Answer and working

D. Remeasuring the same trees estimates change precisely

Measuring the same trees removes between-plot variation from the estimate of change; independent samples estimate change with much larger error.

Further reading: Gomez K; Montgomery D; Hurlbert S; Williams E

8 · Meta-analysis and systematic reviews · easy

A systematic review differs from a narrative review mainly in that it:

  1. Includes only studies with significant results
  2. Is written by a single expert, without any protocol at all
  3. Covers only one study in great detail
  4. Uses explicit, reproducible search and selection methods
Answer and working

D. Uses explicit, reproducible search and selection methods

Systematic reviews follow a protocol with stated search and inclusion criteria; including only significant studies would bias the review.

Further reading: Gomez K; Montgomery D; Hurlbert S; Williams E

9 · Research ethics, data management and reproducible analysis · easy

Preregistering an analysis plan before collecting data mainly protects against:

  1. Equipment failure in the field
  2. Loss of data from a hard drive
  3. p-hacking and HARKing
  4. Mortality of trees in the experiment
Answer and working

C. p-hacking and HARKing

A plan fixed in advance distinguishes confirmatory from exploratory analyses.

Further reading: Gomez K; Montgomery D; Hurlbert S; Williams E

10 · Scientific writing, peer review and research proposals · easy

Objectives in a research proposal are best written to be:

  1. Broad enough to cover any result
  2. Specific, measurable and time-bound
  3. Identical to the title of the proposal
  4. Free of any reference to methods
Answer and working

B. Specific, measurable and time-bound

SMART objectives can be checked; vague objectives cannot be evaluated.

Further reading: Gomez K; Montgomery D; Hurlbert S; Williams E

Ten here, 21 in the app. The Laisha app has every practice question we have written to ICAR AIEEA-PG in this subject, marked as you go, with timed papers, a jump-to-unanswered list and a certificate when you pass at 70 per cent.

Free for ten days, then one subscription of US$10 a month. We would rather say so here than have you find it later.

Practise the full set in Laisha →

Read the subject

Forestry Research Methods & Experimental DesignThe full study manual, free ICAR AIEEA-PGFormat, sections and how it has changed

More ICAR AIEEA-PG practice

Forest Soils & Soil ConservationTree PhysiologyBiometry, Statistics & Computing for ForestryIntroduction to Forestry & the World's ForestsForest Meteorology & ClimatologyAgroforestry Systems & DesignForestry Extension & CommunicationRangeland & Grazing ManagementRemote Sensing & Photogrammetry for ForestryForest Restoration & Afforestation of Difficult SitesForest Genetics & Tree ImprovementNon-Timber Forest Products, Bamboo & Medicinal PlantsCommunity & Social Forestry, Joint Forest Management & Forest PeoplesDendrology & Tree IdentificationForest Ecology & Ecosystem ProcessesSilviculture of Important Tree SpeciesAgroforestry Management, Interactions & EconomicsForest Botany & Plant Systematics

Forestry Research Methods & Experimental Design for other exams

ICAR AICE-JRF/SRF · IndiaFRI Deemed University · India

Ask Laisha about this

Opens Laisha's chat with your question ready to send. Sign in or start free.