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BIOL*2060 - Ecology

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Course Description

Mountain side lake with single tree under blue skies.

This course discusses the ecology of plants, animals, fungi and bacteria as individual organisms, interacting populations, communities and ecosystems. Lectures and discussion groups are used to demonstrate the difficulty of interpreting ecological data derived from field studies. The value of laboratory-based research in ecology will also be discussed. The course will be important for anyone who wishes to understand what we know and need to know about the way ecological systems work.

Note:  This course can be taken individually or as a part of a certificate program.

Learning Outcomes

By the end of the course the successful student will be able to:

  • Explain patterns observed in nature by applying the scientific method and fundamental ecological theories.
  • Communicate clearly about ecological systems and processes by applying appropriate ecological terminology.
  • Appreciate the historical development of the discipline and the contributions of influential scientists to our understanding of contemporary issues.
  • Begin to formulate investigations of conservation and management issues related to the distribution and abundance of species by applying ecological theory.
  • Develop and present a case study research proposal (including a review of literature, statement of hypothesis and predictions, appropriate research methodology) on an ecological topic selected from recent Canadian news articles.
  • Critically evaluate and synthesize a set of selected primary ecological literature, in the context of ecological principles and practices described in this course.

Course Topics

  • Science of Ecology
  • Natural History and Evolutionary Ecology
  • Individual Ecology
  • Population Ecology
  • Community Ecology
  • Ecosystem+ Ecology

Additional Requirements

Course Prerequisite(s) : 4.00 credits including BIOL*1070

Online Unit Quizzes 30%
Tutorials 20%
Case Study Project 20%
Final Exam 30%

Applies Towards the Following Certificates

  • Certificate in Environmental Citizenship : Electives
  • Certificate in Environmental Conservation : Electives

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Welcome to the Microbiology section of the Biology research guide!

This page has been developed specifically for BIOL 2060. It will direct you to a variety of resources that may assist you with your research-based assignments. Choose from one of the options on this page based on the type of information you are seeking. Each option will provide more information and links to recommended resources.

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  • Last Updated: Aug 30, 2024 1:29 PM
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Repackaging legacy software for protein structural domain annotation: an OSSS project

ARC worked with the Orengo group (UCL Structural & Molecular Biology) on a project to make an existing bioinformatics data pipeline more portable, scalable and ready to be applied to huge new datasets

Outline of the CATH classification pipeline.

30 August 2024

Figure 1 (above)   Outline of the  CATH  classification pipeline.

One of the fundamental building blocks in the field of Computational Biology is the identification of evolutionary relationships between proteins. However, proteins can be large and complex; they often consist of multiple independent units known as structural domains (defined as compact, semi-independent folding units). These domains have their own evolutionary story and are often seen recurring in different contexts in different multi-domain proteins. As such, being able to accurately identify the boundaries of these structural domains, i.e. recognising where structural domains start and stop, is a crucial first step in all subsequent analyses such as protein engineering, disease diagnostics and drug design. Providing accurate domain boundaries at scale can be a non-trivial problem though; often requiring expert manual curation, guided by a variety of metrics from automated algorithms.

What we did

The Orengo Group has used an automated data pipeline for many years while creating and maintaining the CATH database of protein structural domains [1]. Part of this data pipeline involved running algorithms responsible for identifying protein structural domains from 3D data. However this pipeline consisted of old code that was difficult to maintain, difficult to extend with more modern algorithms, and also difficult to move over to new compute facilities at UCL. Dr Robert Vickerstaff from ARC worked with Dr Ian Sillitoe from the Orengo group in UCL SMB to isolate existing legacy code into portable modules that could be run as independent units of work in addition to gluing these modules together using a modern, well tested workflow management framework (Nextflow). This would provide the flexibility and portability to allow these data pipelines to be easily adopted both within HPC facilities at UCL and in the wider community as part of larger data workflows.

The main work achieved as part of this Open Source Software Sustainability (OSSS) funded project  was to build Nextflow data pipelines that could be run natively on the HPC facilities both in ARC and Computer Science with minimal changes to configuration. In addition, the existing Nextflow scripts were refactored to take into account patterns of recommended best practices. This helped to make the scripts more maintainable, easier to extend in the future and easier to share with the community. The project is still in active development and is available on GitHub [2].

[1] https://www.cathdb.info

[2] https://github.com/UCLOrengoGroup/cath-alphaflow

Blog The Education Hub

https://educationhub.blog.gov.uk/2024/08/20/gcse-results-day-2024-number-grading-system/

GCSE results day 2024: Everything you need to know including the number grading system

case study project biol 2060

Thousands of students across the country will soon be finding out their GCSE results and thinking about the next steps in their education.   

Here we explain everything you need to know about the big day, from when results day is, to the current 9-1 grading scale, to what your options are if your results aren’t what you’re expecting.  

When is GCSE results day 2024?  

GCSE results day will be taking place on Thursday the 22 August.     

The results will be made available to schools on Wednesday and available to pick up from your school by 8am on Thursday morning.  

Schools will issue their own instructions on how and when to collect your results.   

When did we change to a number grading scale?  

The shift to the numerical grading system was introduced in England in 2017 firstly in English language, English literature, and maths.  

By 2020 all subjects were shifted to number grades. This means anyone with GCSE results from 2017-2020 will have a combination of both letters and numbers.  

The numerical grading system was to signal more challenging GCSEs and to better differentiate between students’ abilities - particularly at higher grades between the A *-C grades. There only used to be 4 grades between A* and C, now with the numerical grading scale there are 6.  

What do the number grades mean?  

The grades are ranked from 1, the lowest, to 9, the highest.  

The grades don’t exactly translate, but the two grading scales meet at three points as illustrated below.  

The image is a comparison chart from the UK Department for Education, showing the new GCSE grades (9 to 1) alongside the old grades (A* to G). Grade 9 aligns with A*, grades 8 and 7 with A, and so on, down to U, which remains unchanged. The "Results 2024" logo is in the bottom-right corner, with colourful stripes at the top and bottom.

The bottom of grade 7 is aligned with the bottom of grade A, while the bottom of grade 4 is aligned to the bottom of grade C.    

Meanwhile, the bottom of grade 1 is aligned to the bottom of grade G.  

What to do if your results weren’t what you were expecting?  

If your results weren’t what you were expecting, firstly don’t panic. You have options.  

First things first, speak to your school or college – they could be flexible on entry requirements if you’ve just missed your grades.   

They’ll also be able to give you the best tailored advice on whether re-sitting while studying for your next qualifications is a possibility.   

If you’re really unhappy with your results you can enter to resit all GCSE subjects in summer 2025. You can also take autumn exams in GCSE English language and maths.  

Speak to your sixth form or college to decide when it’s the best time for you to resit a GCSE exam.  

Look for other courses with different grade requirements     

Entry requirements vary depending on the college and course. Ask your school for advice, and call your college or another one in your area to see if there’s a space on a course you’re interested in.    

Consider an apprenticeship    

Apprenticeships combine a practical training job with study too. They’re open to you if you’re 16 or over, living in England, and not in full time education.  

As an apprentice you’ll be a paid employee, have the opportunity to work alongside experienced staff, gain job-specific skills, and get time set aside for training and study related to your role.   

You can find out more about how to apply here .  

Talk to a National Careers Service (NCS) adviser    

The National Career Service is a free resource that can help you with your career planning. Give them a call to discuss potential routes into higher education, further education, or the workplace.   

Whatever your results, if you want to find out more about all your education and training options, as well as get practical advice about your exam results, visit the  National Careers Service page  and Skills for Careers to explore your study and work choices.   

You may also be interested in:

  • Results day 2024: What's next after picking up your A level, T level and VTQ results?
  • When is results day 2024? GCSEs, A levels, T Levels and VTQs

Tags: GCSE grade equivalent , gcse number grades , GCSE results , gcse results day 2024 , gsce grades old and new , new gcse grades

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JSmol Viewer

Uncertainty assessment of species distribution prediction using multiple global climate models on the tibetan plateau: a case study of gentiana yunnanensis and gentiana siphonantha.

case study project biol 2060

1. Introduction

2. materials and methods, 2.1. study area, 2.2. species data, 2.3. climate and environment data, 2.4. global climate models, 2.5. species distribution modeling, 3.1. model performance, 3.2. current potential distribution, 3.3. future potential distribution simulations, 3.3.1. impacts of gcms on sdm, 3.3.2. range shift under future climate change with mme-4, 4. discussion, 5. conclusions, author contributions, data availability statement, acknowledgments, conflicts of interest.

Click here to enlarge figure

GCMPeriodSSPPercLoss *PercGain **SRC ***
ACCESS-CM22041–2060 SSP2-4.548.04431.524−16.52
2041–2060 SSP5-8.552.97731.693−21.284
2081–2100 SSP2-4.560.38239.043−21.339
2081–2100SSP5-8.582.39579.704−2.691
CMCC-ESM22041–2060 SSP2-4.536.28557.186+20.901
2041–2060 SSP5-8.542.38843.684+1.296
2081–2100 SSP2-4.556.52655.463−1.063
2081–2100SSP5-8.575.51109.853+34.342
MPI-ESM1-2-HR2041–2060 SSP2-4.526.37126.623+0.252
2041–2060 SSP5-8.533.97826.487−7.491
2081–2100 SSP2-4.538.65932.557−6.102
2081–2100SSP5-8.567.04375.848+8.805
UKESM1-0-LL2041–2060 SSP2-4.552.01949.915−2.104
2041–2060 SSP5-8.561.28462.254+0.969
2081–2100 SSP2-4.567.681.549+13.949
2081–2100SSP5-8.590.56487.737−2.827
GCMPeriodSSPPercLoss *PercGain **SRC ***
ACCESS-CM22041–2060 SSP2-4.511.83515.244+3.409
2041–2060 SSP5-8.514.42416.181+1.757
2081–2100 SSP2-4.518.56316.316−2.247
2081–2100SSP5-8.543.15211.929−31.223
CMCC-ESM22041–2060 SSP2-4.59.64512.267+2.622
2041–2060 SSP5-8.510.64313.915+3.272
2081–2100 SSP2-4.519.09616.265−2.831
2081–2100SSP5-8.540.61813.833−26.784
MPI-ESM1-2-HR2041–2060 SSP2-4.55.41412.431+7.016
2041–2060 SSP5-8.57.44714.406+6.959
2081–2100 SSP2-4.58.82613.909+5.083
2081–2100SSP5-8.520.35315.44−4.912
UKESM1-0-LL2041–2060 SSP2-4.513.20918.332+5.122
2041–2060 SSP5-8.518.67219.768+1.097
2081–2100 SSP2-4.525.12918.764−6.365
2081–2100SSP5-8.554.60613.273−41.333
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Bio1 (°C)Bio5 (°C)Bio6 (°C)Bio12 (mm)Bio16 (mm)Bio17 (mm)
G. yunnanensis6.70
(−0.14~15.40)
17.53
(11.00~25.10)
−7.71
(−15.40~1.80)
803.58
(638.00~943.00)
406.55
(311.00~525.00)
33.81
(10~60)
G. siphonantha−0.40
(−5.35~5.63)
15.43
(−16.1~26.30)
−21.04
(−25.20~−16.30)
397.26
(115.00~616.00)
240.93
(70.00~375.00)
6.26
(2.00~13.00)
SpeciesPeriodSSPPercLoss *PercGain **SRC ***
G. yunnanensis2041–2060 SSP2-4.540.86638.871−1.995
2041–2060 SSP5-8.546.85438.671−8.183
2081–2100 SSP2-4.555.21851.176−4.042
2081–2100SSP5-8.578.87299.762+20.89
G. siphonantha2041–2060 SSP2-4.59.04514.733+5.688
2041–2060 SSP5-8.511.46816.391+4.922
2081–2100 SSP2-4.516.65716.572−0.085
2081–2100SSP5-8.539.27613.642−25.634
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Share and Cite

Song, Y.; Xu, X.; Zhang, S.; Chi, X. Uncertainty Assessment of Species Distribution Prediction Using Multiple Global Climate Models on the Tibetan Plateau: A Case Study of Gentiana yunnanensis and Gentiana siphonantha . Land 2024 , 13 , 1376. https://doi.org/10.3390/land13091376

Song Y, Xu X, Zhang S, Chi X. Uncertainty Assessment of Species Distribution Prediction Using Multiple Global Climate Models on the Tibetan Plateau: A Case Study of Gentiana yunnanensis and Gentiana siphonantha . Land . 2024; 13(9):1376. https://doi.org/10.3390/land13091376

Song, Yuxin, Xiaoting Xu, Shuoying Zhang, and Xiulian Chi. 2024. "Uncertainty Assessment of Species Distribution Prediction Using Multiple Global Climate Models on the Tibetan Plateau: A Case Study of Gentiana yunnanensis and Gentiana siphonantha " Land 13, no. 9: 1376. https://doi.org/10.3390/land13091376

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