This module is taken by all master's students. This is a piece of research carried out with one-to-one supervision from either a member of LEC staff or one of our research partner organisations or sometimes both. Students can choose their own project (subject to agreement), choose a project from a list published by the department, or can apply for a project in conjunction with an external company.

Students will learn about the planning that goes into, and the ecological principles underlying, habitat management.

There will be a series of excursions to sites of conservation interest, led by external contributors and experts within the Department. Workshops will train students in habitat management techniques and planning, and students will write a conservation management plan for a particular site.

Students will be able to describe how the principles underlying the management of habitats for conservation can be applied in a range of habitat types, and will be able to construct a standard conservation management plan.

They will also develop skills in identifying, abstracting and synthesising information, and report writing.

The module aims to train students to Master's level in guided, but self-determined research planning. Forthe subject area of their research project, they will have: familiarity with the broader and specific literature;researched appropriate methodologies; developed a research plan; presented the findings in poster and written formats.

Students will gain knowledge of identification, sampling and monitoring methods for some key taxa and an understanding of how these methods may be used in a wider context, e.g. local, national and international contexts of different types of survey.

The module will have five sections, each delivered with one or two lectures and including a field component on campus or away. It will also include the analysis of quantitative data.

Those who take this module will be taught to identify some taxonomic groups to appropriate levels (species, genus, etc.) and will devise appropriate sampling regimes to derive population estimates or indices for population monitoring. They will also use other monitoring techniques that may be appropriate for recording behaviour and quantifying biodiversity.

This module focuses on key challenges facing the conservation of biodiversity today. We examine trade-offs between conservation goals and human desires, and wellbeing. The module highlights emerging understanding of the complex relationships between biodiversity, ecosystem services and human life.

Students will be engaged with specific examples of how conservation science is changing to address social-economic-ecological conflicts. They are encouraged to critically analyse literature on topical issues confronting biodiversity conservation. By doing so, they will gain an understanding of the factors that constrain conservation aims, and of the need for interdisciplinary approaches to conserve biodiversity in the real world.

Those who take this module will develop an understanding of how conservation has changed, and be able to define criteria to identify species and ecosystems of high conservation importance. They will also learn how conflicts between social, economic and ecological objectives can be understood and addressed in partnerships.

This module provides a grounding in statistics and data analysis for non-mathematicians, by starting with the basics then developing the skills required to successfully analyse data generated through dissertation projects.

Students will familiarise themselves with the open-source statistical package 'R' for analysis. The materials covered include describing data, producing figures, comparing differences between groups, correlation and associations, regression analysis and experimental design.

The module also provides a brief overview of methods beyond the module to provide awareness and a direction for further progress.

*This is a distance learning module and not taught on Campus*

Students will gain a critical understanding of key concepts, principles, tools and techniques for the management of natural resources and the environment. Particular attention is given to the challenges of dealing with complexity, change, uncertainty and conflict in the environment, and to the different management approaches which can be deployed in ‘turbulent’ conditions.

Contemporary environmental problems will be examined and interpreted from both an academic and policy perspective. In order to do this effectively, students will learn to evaluate and critique arguments and evidence related to environmental problems, and will demonstrate advanced understanding of alternative management concepts through constructive debate.

This module will provide an introduction to Environment Impact Assessments (EIAs), Strategic Environmental Assessments (SEAs) and their legislative context in the United Kingdom and the European Union, placed into the broader context of international policy development. It will cover aspects of Schedule 1 projects that always require an EIA, such as waste incinerators and major road schemes, and Schedule 2 projects which sometimes require an EIA, such as wastewater treatment plants, quarries and dairies.

The syllabus will include essential elements and procedures contained within EIAs including screening, scoping, assessment and evaluation of impacts and development of alternatives, reporting through an Environmental Impact Statement (EIS), review of the EIS, decision making, monitoring, compliance and auditing.

The focus is to understand the component parts and the interdisciplinary basis of the global food system. To this end, students will examine challenges facing global agricultural production as a result of climate change. They will also gain an understanding of the shortage of key resources for food production and the subsequent issues that affect people’s access to food.

In addition to this, the module will demonstrate how basic plant physiology can inform both plant breeding and agronomy to increase the sustainability of agriculture. The factors impacting food safety and food quality (especially nutritive value) will also be explored.

Ultimately, students will develop a familiarity with several current/impending crises in global food security.

This module introduces students to the fundamental principles of GIS and remote sensing and explores how these complimentary technologies may be used to capture, manipulate, analyse and display different forms of spatially-referenced environmental data. This is a highly vocational module with lectures complimented by computer-based practicals (using state-of-the-art software such as ArcGIS Pro and ENVI) on related themes. At the end of the module students are required to complete a project in which a functioning analytical environmental information system is designed and implemented in order to solve a specific problem.

Students will be given an introduction to the foundations of lake ecology, an area with an acknowledged national lack of expertise. The module presents a holistic approach to the drivers and internal interactions that control water quality in lakes.

Those who take this module will be taught basic ecological principles, which will be elucidated using lake ecology. They will also be introduced to the various applications of state-of-the-art techniques and provided with essential background information for dealing with regulation such as the Water Framework Directive.

This module also includes a field trip and practicals that will give students experience of working with the Centre for Ecology & Hydrology in a management/policy context. Modelling to predict impact of management measures is also an important aspect of the module, and an appreciation of its principles and uses when it comes to lakes and catchment will be encouraged.

Students will come to understand the state-of-the-art tools and approaches needed to study and manage lakes as used in industry, government and science.

This module is designed to give students a foundation in the numerical skills required for studying environmental science. It focuses on developing explicit links between mathematical analysis and the physical processes that govern environmental systems. Workshop sessions with members of teaching staff provide an informal atmosphere for you to refresh your mathematical knowledge, to learn how numerical skills can enrich your understanding of the environment, and to develop a scientific approach to solving a range of environmental problems. We employ environmental case studies throughout the module and analyse a number of environmental data sets.

Depending upon degree programme, students who hold an AS-level in maths do not have to take this module and as such will have a further optional module to choose from.

Following the earlier module ‘Numerical Skills I’, students will gain a more complete understanding of the numerical skills required for studying the environment. Environmental case studies will be used in a mixture of lectures and workshops where students will learn to manipulate trigonometric equations, describe the basic principles of calculus and solve simple equations. These concepts will be applied to environmental examples including radioactive decay, atmospheric pressure scale height and chemical kinetics.

Depending upon degree programme, students who hold an AS-level in maths do not have to take this module and as such will have a further optional module to choose from.

Soils are fundamental to our very existence, as a vital medium for food growth and a regulator of water quality and climate. Exploring concepts within three core topics – principles of soil science, soil biology, and soil management and global change – students learn about the importance and functions of a healthy soil system.

They will develop knowledge of soil nutrient cycling, biodiversity, and water and carbon cycling processes. In addition, students will explore the issues and mitigation options related to soil compaction, erosion and water quality, and the challenges and threats faced by soils in the light of global change.

*This is a distance learning module and not taught on Campus*

Students will be given an introduction to the origin, purpose and uses of the National Vegetation Classification (NVC) as a systematic and comprehensive survey of the plant communities of natural, semi-natural and major artificial habitats in Britain.

The module will inform students of the NVC survey’s methodology so that they can learn the basic techniques it uses. Recognising boundaries and homogeneous strands; locating sample quadrats; and recording essential features of the composition and structure of the vegetation and its relationship to the habitat, are all essential skills to acquire. They will also come to understand the potential and limitations of the NVC as a monitoring, management and design tool.

Practical field exercises will be included, and will involve data collection from a range of vegetation types with subsequent analysis, evaluation and interpretation which will provide the students with an appreciation of the complex relationships between vegetation and climate, soils and human impacts.