# FOR30410

**Source**: https://hub.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=MODULE&MODULE=FOR30410&TERMCODE=202500&ACYR=2026
**Parent**: https://hub.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=COURSE&MAJR=FOS1&AUDIENCE=

Academic Year 2025/2026

Print

#### Forest Inventory and Sampling (FOR30410)

Subject:
:   Forestry

College:
:   Health & Agricultural Sciences

School:
:   Agriculture & Food Science

Level:
:   3 (Degree)

Credits:
:   5

Module Coordinator:
:   Professor Aine Ni Dhubhain

Trimester:
:   Spring

Mode of Delivery:
:   On Campus

Internship Module:
:   No

How will I be graded?
:   Letter grades

Curricular information is subject to change.

This is a 7 week undergraduate module for Stage 3 BAgrSc Forestry students. This module provides an overview of sampling design approaches that can be used to quantify the composition of forest resources for management and planning purposes, including simple random sampling and stratified random sampling. Volume estimation methods including complete enumeration, full tariff, abbreviated tariff, fixed area plots, and volume/weight ratios will also be covered. A number of practical field sessions will be conducted where forest measurement skills will be developed. Computer-based sessions will also be conducted where you will learn to process, analyse and interpret field data, including determining the precision of the estimates derived from fixed area plots. The integration of sampling designs within a GIS including georeferenced area sampling frames will be covered. \
\

## About this Module

Open All 
 Close All

### What will I learn?

###### Learning Outcomes:

Determine the precision of estimates from fixed area plots.\
Use GIS to undertake simple/stratified random sampling\
Undertake an abbreviated tariff and estimate the volume of a stand using EXCEL\
Estimate the volume weight ratio for a timber sale\

### How will I learn?

###### Student Effort Hours:

| Student Effort Type | Hours |
| --- | --- |
| Computer Aided Lab | 28 |
| Autonomous Student Learning | 82 |
|  |  |
| --- | --- |
| Total | 110 |

\

###### Approaches to Teaching and Learning:

Active /task based learning and lectures.

### Am I eligible to take this module?

###### Requirements, Exclusions and Recommendations

Not applicable to this module.

\

###### Module Requisites and Incompatibles

Not applicable to this module.
\
 \

### How will I be assessed?

###### Assessment Strategy

| Description | Timing | Component Scale | Must Pass Component | % of Final Grade | In Module Component Repeat Offered |
| --- | --- | --- | --- | --- | --- |
| Assignment(Including Essay): Excel Assignment | Week 3 | Standard conversion grade scale 40% | No | 20 | No |
| Assignment(Including Essay): Excel assignment | Week 5 | Standard conversion grade scale 40% | No | 20 | No |
| Exam (In-person): Computer based exam | Week 8 | Standard conversion grade scale 40% | No | 60 | No |

\

###### Carry forward of passed components

No

\

### What happens if I fail?

| Resit In | Terminal Exam |
| --- | --- |
| Autumn | Yes - 2 Hour |

*Please see [Student Jargon Buster](https://www.ucd.ie/students/services/ucdstudentjargonbuster/) for more information about remediation types and timing.* \

### Assessment feedback

###### Feedback Strategy/Strategies

• Feedback individually to students, post-assessment\

###### How will my Feedback be Delivered?

Not yet recorded.

### When is this module offered?

**Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.**

|  |  |  |  |  |
| --- | --- | --- | --- | --- |
| Spring | Computer Aided Lab | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26 | Thurs 14:00 - 15:50 |
| Spring | Computer Aided Lab | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26 | Wed 14:00 - 15:50 |

[Print this page](# "Print this page")