National university exit exam — Forestry / Natural Resource Management

Ethiopia · Ministry of Education · professional · unverified source

14practice questions written to this syllabus
3subjects

Format

Unverified.

Over the years

Unverified: only the ministry's exam platform was confirmed. Whether forestry has its own exit-exam blueprint was not checked.

Official source: https://exam.ethernet.edu.et/

Subjects this exam draws on

Introduction to Forestry & the World's Forests4 questionsForest Soils & Soil Conservation5 questionsBiometry, Statistics & Computing for Forestry5 questions

Five practice questions, worked

Original questions written to this exam's published syllabus and pattern. Not past papers.

1. What minimum area and tree height does the FAO definition of forest require?

  1. More than 0.5 ha and trees higher than 5 m
  2. More than 1.0 ha and trees higher than 3 m
  3. More than 0.1 ha and trees higher than 2 m
  4. More than 5.0 ha and trees higher than 10 m
Answer and working

A. More than 0.5 ha and trees higher than 5 m

The FRA thresholds are 0.5 ha, 5 m height and 10% canopy cover; countries may use other thresholds nationally.

Introduction to Forestry & the World's Forests · Definitions of forest, forestry and forest land (FAO Forest Resources Assessment definitions)

2. A 100 cm³ core of soil weighs 120 g after oven-drying. What is its bulk density?

  1. 0.83 g cm⁻³
  2. 2.65 g cm⁻³
  3. 1.20 g cm⁻³
  4. 12.0 g cm⁻³
Answer and working

C. 1.20 g cm⁻³

BD = dry mass / total volume = 120/100 = 1.20 g cm⁻³. 0.83 inverts the ratio; 2.65 is particle density.

Forest Soils & Soil Conservation · Physical properties: texture, structure, bulk density, water holding

3. Tree heights are 12, 15, 18, 15 and 20 m. What is the sample standard deviation?

  1. 3.08 m
  2. 2.76 m
  3. 9.50 m
  4. 38.0 m
Answer and working

A. 3.08 m

Mean 16; squared deviations sum to 38; s² = 38/4 = 9.5; s = 3.08 m. Dividing by n gives 2.76 m; 9.5 is the variance.

Biometry, Statistics & Computing for Forestry · Descriptive statistics, frequency distributions and diameter distributions

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