Module Catalogue 2023/24

NES8010 : Quantitative Ecological Research Methods

NES8010 : Quantitative Ecological Research Methods

  • Offered for Year: 2023/24
  • Module Leader(s): Dr William Reid
  • Lecturer: Professor Aileen Mill, Professor Stephen Rushton, Dr Roy Sanderson, Dr Benjamin Wigham
  • Owning School: Natural and Environmental Sciences
  • Teaching Location: Newcastle City Campus
  • Capacity limit: 60 student places

Your programme is made up of credits, the total differs on programme to programme.

Semester 1 Credit Value: 20
ECTS Credits: 10.0
European Credit Transfer System

Modules you must have done previously to study this module

Pre Requisite Comment



Modules you need to take at the same time

Co Requisite Comment



Understanding approaches and development of skills in academic and ecological research, survey and consultancy, including proposal writing, project planning, sampling design, scientific reporting, statistical analysis and modelling.
A unique module taking students through practical, technical and statistical approaches to survey design and description of ecological change in marine and terrestrial habitats and species.

Outline Of Syllabus

Ecological sampling and survey design: Planning and delivering biological surveys, implementation of ecological sampling methods, interpretation of data on richness, diversity, extent and rarity in relation to spatial scale. Developing research questions and detecting and addressing systematic sampling error. Introduction to R including data manipulation and analysis and tidy data methods. Revision of basic statistical terms and assumptions.

Data analysis and Modelling: Multivariate modelling, Data exploration and analysis of community data in R and PRIMER. Regression and mixed effects models, Structural Equation Modelling using the latest packages in R, Practical modelling approaches for analysing natural systems using the generalised linear model framework.

Option A (numbers capped at 24 – preference given to IMEC students)

Boat based sampling: Planning and delivering boat based surveys, hard and soft substrata. Cost-effectiveness in sampling strategy and methods, interpretation of data as above. Introduction to novel methods (1 day). Group exercise on project design.

Option B

Vertebrate population assessment: Survey design and data analysis of established methods for population assessment and monitoring with both field and exercise based examples (including camera trapping, CMR and analysis of GPS data). Methods include spatial analysis and understanding of detection probability in models.

Policy relevance: Communicating uncertainty for policy makers and decision makers.

Learning Outcomes

Intended Knowledge Outcomes

On successful completion of this course, students will be able to demonstrate knowledge and understanding of:

IKO1: Statistical approaches to synthesising and evaluating environmental data.

IKO2: Contextual understanding of the purpose and implementation of resource evaluation.

IKO3: Collection of natural-resources information and manipulation for the detection of natural and
anthropogenic change.

Intended Skill Outcomes

On successful completion of this course, students will develop the following subject specific and intellectual skills:

ISO1: Advanced statistical techniques in environmental data analysis

ISO2: Survey design, sampling and rapid techniques for resource evaluation marine systems

ISO3: The ability to design and plan cost-effective surveys suitable for change detection

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion115:0015:00Follow up to workshops – Includes background reading and review of lecture notes.
Structured Guided LearningLecture materials81:008:00Online via canvas: short lectures on data analysis and modelling
Guided Independent StudyAssessment preparation and completion130:0030:008 page project design report (12pt Times Roman single space, approx. 2000 words with plots & tables)
Structured Guided LearningAcademic skills activities83:0024:00Non-synchronous - Learn materials on canvas, self taught coding
Guided Independent StudySkills practice103:0030:00Data handling, descriptive statistics, multivariate analysis
Scheduled Learning And Teaching ActivitiesWorkshops53:0015:00Synchronous online data analysis and modelling
Scheduled Learning And Teaching ActivitiesFieldwork84:0032:00Synchronous online - 5 sessions on rocky shore. Three sessions at Gosforth park
Scheduled Learning And Teaching ActivitiesDrop-in/surgery31:003:00Synchronous online sessions with module team (week 4)
Guided Independent StudyIndependent study143:0043:00Data analysis and modelling exercises
Teaching Rationale And Relationship

A series of workshops which will be formed of a mix of seminars, class discussion, computing practicals and fieldwork teaching will be used to introduce several key environmental research techniques. Students will work in small groups for practical and fieldwork and class presentation of results, and participate in group discussion. Use of worked examples on statistical methods and data manipulation, introduced in practical sessions, and followed up on in students' own time will supplement teaching in practicals and workshops. Workshops will cover statistical application, working through problem solving exercises in groups and provide the hands-on training experience to enable students to develop ecological models from first principles. Student-led problem-solving leads to independent study

Practical classes provide the learning environment for students to develop key transferable practical skills in statistics, field and boat based survey methods. These classes allow students to practise their skills as they explore a range of exercises (ISO1-3). Seminars and class discussion provide feedback during development of these skills. The strong emphasis on quantitative and practical skills reflects what is required in the workplace. However, they need to be underpinned by a sound theoretical understanding of principles. The workshops and practicals are integrated so that they mutually reinforce each other.

Reading Lists

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Report1M100Quantitative Methods Report. 8 page, 2000 words, on survey methods and analysis. Both assessments must be passed to pass the module
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Report1MData analysis exercises
Assessment Rationale And Relationship

Students will complete formative data analysis exercises in class individually and in groups to assess the students depth of knowledge and understanding of the statistical approaches taught. The students will work through numerical exercises and provide visualisation and interpretation of the results.

Practical classes provide formative assessment of students’ progress in developing transferable practical skills in numerical methods, field and boat based survey methods, and spatial processing and interpretation by means of seminars and workbook materials which allow students to assess their skills as they explore a range of exercises.

Subsequently, the quantitative methods report provides a summative assessment of the development of their practical computer and numeracy skills in an ecological context.

These transferable skills are most valuable in the job market and thus the primary focus is on developing and assessing these.

An alternative assessment will be set for any Semester 1 Study Abroad student taking this module, who will not be in Newcastle during the January assessment period.


Past Exam Papers

General Notes


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