This document provides information on topics related to ecology and evolution. It begins by defining key terms in ecology such as ecology, ecosystem, population, community, species, and habitat. It then describes autotrophs and heterotrophs, including consumers, detritivores, and saprotrophs. Food chains and food webs are explained. The document also covers trophic levels, energy flow through ecosystems, and shapes of pyramids of energy. Other topics include nutrient cycling, the enhanced greenhouse effect, population growth curves, limiting factors to population growth, and evidence for evolution such as the fossil record, selective breeding, and homologous structures.
Two species when occupy in same habitat accumulating same resource in same manner then competition is inevitable. The normal logistic growth is not expected. Lotka and Volterra proposed equation to describe the interspecific competition among the species. Either one of the species wins other is excluded or they co-exist in unstable or stable manner.
presentation contain different type of interactions, competition-intra and inter-specific, mechanism of competition-Exploitation and Interference, Mathematical models of Competition i.e. Hutchinson Ratio, Exponential Growth, Logistic Model, Lotka-Volterra Competition Model, Tilman's Resource Model, Results of Competition i.e. Range restriction, Competitive Displacement, Competitive Exclusion , Competitive Displacement Hypothesis, Ecological Niche, Evolution of new species, Factors Affecting Competition, Case studies
Two species when occupy in same habitat accumulating same resource in same manner then competition is inevitable. The normal logistic growth is not expected. Lotka and Volterra proposed equation to describe the interspecific competition among the species. Either one of the species wins other is excluded or they co-exist in unstable or stable manner.
presentation contain different type of interactions, competition-intra and inter-specific, mechanism of competition-Exploitation and Interference, Mathematical models of Competition i.e. Hutchinson Ratio, Exponential Growth, Logistic Model, Lotka-Volterra Competition Model, Tilman's Resource Model, Results of Competition i.e. Range restriction, Competitive Displacement, Competitive Exclusion , Competitive Displacement Hypothesis, Ecological Niche, Evolution of new species, Factors Affecting Competition, Case studies
This slideshow was created for the VCE Environmental Science Online Course, Unit 3: Biodiversity. It explains different methods of assessing biodiversity and discusses several indices for measurement.
Exponential growth: Resource (food and space) availability is
obviously essential for the unimpeded growth of a population.
Ideally, when resources in the habitat are unlimited, each species
has the ability to realise fully its innate potential to grow in number,
as Darwin observed while developing his theory of natural
selection.
Impact of Environment on Loss of Genetic Diversity and Speciation
Genetic variation describes naturally occurring genetic differences among individuals of the same species. This variation permits flexibility and survival of a population in the face of changing environmental circumstances. Consequently, genetic variation is often considered an advantage, as it is a form of preparation for the unexpected. But how does genetic variation increase or decrease? And what effect do fluctuations in genetic variation have on populations over time?
I didn't make this powerpoint, this is from my IB Biology teacher but it's one of the only topics I actually really enjoyed sooo I'm putting it up, ^_^
This slideshow was created for the VCE Environmental Science Online Course, Unit 3: Biodiversity. It explains different methods of assessing biodiversity and discusses several indices for measurement.
Exponential growth: Resource (food and space) availability is
obviously essential for the unimpeded growth of a population.
Ideally, when resources in the habitat are unlimited, each species
has the ability to realise fully its innate potential to grow in number,
as Darwin observed while developing his theory of natural
selection.
Impact of Environment on Loss of Genetic Diversity and Speciation
Genetic variation describes naturally occurring genetic differences among individuals of the same species. This variation permits flexibility and survival of a population in the face of changing environmental circumstances. Consequently, genetic variation is often considered an advantage, as it is a form of preparation for the unexpected. But how does genetic variation increase or decrease? And what effect do fluctuations in genetic variation have on populations over time?
I didn't make this powerpoint, this is from my IB Biology teacher but it's one of the only topics I actually really enjoyed sooo I'm putting it up, ^_^
2,3 Greenhouse gases, global scenario, green house effectt and global warming...Neeraj Ojha
Ā
As far as Nepalese people are concerned, they are very bad in their food habits. Disease like ulcer and diabetes are rampant along Nepalese people. Moreover, there are areas in the country where there is a severe malnutrition.
Factors influencing food habits
ā¢Individual Preferences
Every individual has unique likes and dislikes concerning foods.
ā¢Cultural Influences
A cultural group provides guidelines regarding acceptable foods, food combinations, eating patterns, and eating behaviors.
ā¢Social Influences
Members of asocial group depend on each other, share a common culture, and influence each other's behaviors and values.
Yes hii88vhiirruuijhhh hiiiidttyhjhvv authentication uiiittghujh hui hai na ki mera pehela diya tha kyaa baat kr rahe ho jayega kya haal hai Bhai ka mahashivratri ka ab daily khata hu ki washroom me know if you are free please call me when you are free please call me when you are back ā¤ļøā¤ļø
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Ā
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
Ā
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
š Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Ā
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navyās DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATOās (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Ā
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Ā
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
DevOps and Testing slides at DASA ConnectKari Kakkonen
Ā
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
Ā
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties ā USA
Expansion of bot farms ā how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks ā Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Ā
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
2. 5.1 Communities and Ecosystems
Define:
Ecologyāthe study of relationships between living organisms and
between organisms and their environment.
Ecosystemāa community and its abiotic environment.
Populationāa group of organisms of the same species who live in the
same area at the same time.
Communityāa group of populations living and interacting with each
other in an area.
Speciesāa group of organisms which can interbreed and produce
fertile offspring.
Habitatāthe environment in which a species normally lives or the
location of a living organism.
3. 5.1 Communities and Ecosystems
5.1.2
autotroph (producer) ā organisms that use
an external energy source to produce
organic matter from inorganic raw
materials
Examples: trees, plants, algae, blue-green
bacteria
4. 5.1 Communities and Ecosystems
heterotroph (consumer) ā organisms that
use the energy in organic matter,
obtained from other organisms
Three Types:
1. consumers
2. detritivores
3. saprotrophs
5. 5.1 Communities and Ecosystems
1. Consumers ā feed on other living things
2. Detritivores ā feed on dead organic
matter by ingesting it
3. Saprotrophs (decomposers) ā feed on
dead organic material by secreting
digestive enzymes into it and absorbing
the products
6. 5.1 Communities and Ecosystems
5.1.4
Describe what is meant by a food chain
giving three examples, each with at least
three linkages (four organisms).
A food chain is a sequence of relationships
between trophic levels where each
member feeds on the previous one.
7. 5.1 Communities and Ecosystems
5.1.5
Describe what is meant by a food web.
A food web is a a diagram that shows the
feeding relationships in a community. The
arrows indicate the direction of energy
flow.
8. 5.1 Communities and Ecosystems
5.1.6
Define trophic level.
A trophic level is where an organism is
positioned on a food web.
Producer
Primary consumer
Secondary consumer
Tertiary consumer
9. 5.1 Communities and Ecosystems
5.1.7
Deduce the trophic level of organisms in a
food chain and a food web. (3)
ā¢ The student should be able to place an
organism at the level of producer, primary
consumer, secondary consumer etc, as
the terms herbivore and carnivore are not
always applicable.
10. 5.1 Communities and Ecosystems
5.1.8
Construct a food web containing up to 10
organisms, using appropriate information.
11. 5.1 Communities and Ecosystems
5.1.9
State that light is the initial energy source for
almost all communities.
ā¢ xref- Photosynthesis
12. 5.1 Communities and Ecosystems
5.1.10
Explain the energy flow in a food chain.
ā¢ Energy losses between trophic levels
include material not consumed or material
not assimilated, and heat loss through cell
respiration.
13. 5.1 Communities and Ecosystems
5.1.11
State that when energy transformations take
place, the process is never 100% efficient
14. 5.1 Communities and Ecosystems
5.1.12
Explain reasons for the shape of pyramids
of energy.
ā¢ A pyramid of energy shows the flow of
energy from one trophic level to the next in
a community. The units of pyramids of
energy are therefore energy per unit area
per unit time, e.g. KJ m-2 yr-1
17. 5.1 Communities and Ecosystems
5.1.13
Explain that energy enters and leaves ecosystems,
but nutrients must be recycled.
Energy enters as light and usually leaves as heat.
Nutrients do not usually enter an ecosystem and
must be used again and again (nutrient cycles).
Nutrients can be substances such as Carbon
dioxide, Nitrogen, and Phosphorus
18.
19. Key processes in the Carbon cycle
ā¢
ā¢
ā¢
ā¢
ā¢
Combustion
Cell respiration
Photosynthesis
Fossilisation
Interaction between living organisms
21. The Greenhouse Effect
ā¢ Earth has a natural greenhouse effect
ā¢ This is important to prevent large
fluctuations in temperature
ā¢ Without a greenhouse effect on Earth, we
would not have life as we know it.
22.
23. Greenhouse Effect
Light from the sun has short wavelengths
and can pass through most of the
atmosphere.
This sunlight warms the Earth which in turn
emits long wave radiation.
This long wave radiation is bounced back by
the greenhouse gases, such as carbon
dioxide, methane, CFCs, water vapour,
and sulphur dioxide
34. Since the Industrial
Revolution
Concentration of Carbon Dioxide from trapped air measurements for the DE08 ice core near the summit
of Law Dome, Antarctica. (Data measured by CSIRO Division of Atmospheric Research from ice cores supplied by
Australian Antarctic Division)
37. 5.2
Enhancing the greenhouse
Effect
Human Activities
ā¢ Increased burning of fossil fuels releasing greenhouse
gases (CO2, oxides of Nitrogen)
ā¢ Deforestation ā less trees to convert CO2 back to O2
ā¢ Raising cattle and paddy fields release methane
ā¢ CFCs were used as a propellant in aerosols and as a
coolant in refrigerators, freezers and air conditioning
units. Old cooling machinery can still leak CFCs and
need to be disposed of carefully ā CFCs are persistent
ā¢ Other industrial activities that release other
greenhouse gases
38. The Precautionary Principle
ā¢ The precautionary principle holds that, if the
effects of a human-induced change would be
very large, perhaps catastrophic, those
responsible for the change must prove that it
will not do harm before proceeding.
ā¢ This is the reverse of the normal situation where
those who are concerned about the change
would have to prove that it will do harm in order
to prevent such changes going ahead.
39. Evaluate the precautionary
principleā¦
ā¢ ā¦..as a justification for strong action in response to the
threats posed by the enhanced greenhouse effect
ā¢ Economic harm Vs harm to environment for future
generations
ā¢ Should the health and wealth of future generations be
jeapardised?
ā¢ Is it right to knowingly damage the habitat of species
other than humans? Cause extinction?
ā¢ Need for international cooperation
ā¢ Inequality between those contributing most to the harm,
and those who will be most harmed
53. 5.3 Populations
ā¢ Natality ā offspring are produced and
added to the population
ā¢ Mortality ā individuals die and are lost
from the population
ā¢ Immigration ā individuals move into the
area from somewhere else and add to the
population
ā¢ Emigration ā individuals move out of the
area and are lost from the population
58. 5.3 Populations
Exponential Phase
Population increases exponentially because
the natality rate is higher than the mortality
rate. This is because there is an
abundance of food, and disease and
predators are rare.
59. 5.3 Populations
Transitional Phase
Difference between natality and mortality
rates are not as great, but natality is still
higher so population continues to grow,
but at a slower rate.
Food is no longer as abundant due to the
increase in the population size. May also
be increase predation and disease.
60. 5.3 Populations
Plateau Phase
Natality and mortality are equal so the population
size stays constant.
Limiting Factors:
ā¢ shortage of food or other resources
ā¢ increase in predators
ā¢ more diseases or parasites
If a population is limited, then it has reached its
carrying capacity
63. 5.3 Populations
5.3.4
List three factors which set limits to
population increase.
Limiting Factors:
1. shortage of food or other resources
2. Increase in predators
3. More diseases or parasites
64. 5.4 Evolution
5.4.1
Define Evolutionāthe process of cumulative
change in the heritable characteristics of a
population.
Macroevolution ā the change from one species to
another. i.e. ā reptiles to birds
Microevolution ā the change from one variation
within a species to another. i.e. ā a Chihuahua
and a Great Dane
65. 5.4 Evolution
Evidence for evolutionā¦.
ā¢ Fossil record
ā¢ Selective breeding of domesticated
animals
ā¢ Homologous structures
66. The Fossil Record
ā¢ Darwin first collected convincing evidence for biological
evolution
ā¢ Earlier scholars had recognised that organisms on Earth had
changed systematically over long periods of time.
ā¢ Because bottom layers of rock logically were laid down earlier
and thus are older than top layers, the sequence of fossils also
could be given a chronology from oldest to youngest.
ā¢ Today, many thousands of ancient rock deposits have been
identified that show corresponding successions of fossil
organisms.
ā¢ Hundreds of thousands of fossil organisms, found in well-dated
rock sequences, represent successions of forms through time
and manifest many evolutionary transitions.
67. Life Form
ā¢
ā¢
ā¢
ā¢
ā¢
ā¢
ā¢
ā¢
ā¢
ā¢
ā¢
ā¢
Microbial (procaryotic cells)
Complex (eucaryotic cells)
First multicellular animals
Shell-bearing animals
Vertebrates (simple fishes)
Amphibians
Reptiles
Mammals
Nonhuman primates
Earliest apes
Ancestors of humans
Modern humans
Millions of Years
Since First Known
Appearance
3,500
2,000
670
540
490
350
310
200
60
25
4
150,000 years
70. Homologous structures
ā¢
Inferences about common descent are reinforced by
comparative anatomy. For example, the skeletons of
humans, mice, and bats are strikingly similar, despite the
different ways of life of these animals and the diversity of
environments in which they flourish.
ā¢ The correspondence of these animals, bone by bone, can
be observed in every part of the body, including the limbs;
yet a person writes, a mouse runs, and a bat flies with
structures built of bones that are different in detail but
similar in general structure and relation to each other.
ā¢
Scientists call such structures homologous structures
and have concluded that they are best explained by
common descent.
73. 5.4 Evolution
5.4.4
ā¢ The consequence of the potential
overproduction of offspring is a struggle
for survival.
ā¢ More offspring are produced than can be
supported, therefore there is a struggle to
survive, where some live and some die.
75. 5.4 Evolution
5.4
Explain how sexual reproduction promotes
variation in a species.
ā¢ Independent assortment
ā¢ Crossing over
ā¢ Random fertilisation
ā¢ Mate selection
76. Natural selection ā the mechanism
of evolution
ā¢ Since organismās traits vary, some
organisms are more adapted to survival
than others.
ā¢ When there is a struggle to survive those
with favorable traits tend to survive long
enough to pass them on.
ā¢ Those that have less favorable traits die
before being able to pass the traits on.
77. 5.4 Evolution
5.4.7
Explain how natural
selection leads to
evolution
ā¢ The DarwināWallace
theory is accepted by
most as the origin of
ideas about evolution
by means of natural
selection
78. ā¢
1854 - Wallace left Britain on a collecting expedition to the Malay
Archipelago (now Malaysia and Indonesia). He spent nearly eight years
in the region collecting almost 110,000 insects, 7500 shells, 8050 bird
skins, and 410 mammal and reptile specimens, including over a
thousand species new to science; some of his specimens can be seen
in the Sarawak museum.
ā¢
His best known discoveries are probably Wallace's Golden Birdwing
Butterfly Ornithoptera croesus
ā¢
The book he wrote describing his work and experiences, The Malay
Archipelago, is the most celebrated of all travel writings on this region,
and ranks with a few other works as one of the best scientific travel
books of the nineteenth century.
79. ā¢ In February 1855, whilst staying in Sarawak,
Wallace wrote what was to become one of the
most important papers on evolution.
ā¢ Wallace's "Sarawak Law" paper made a big
impression on the famous geologist Charles
Lyell.
ā¢ Soon after Darwin had explained his theory of
natural selection to Lyell (during a visit he
made to Down House in April 1856) Lyell sent
a letter to Darwin urging him to publish the
theory lest someone beat him to it.
ā¢ Darwin began to write On the Origin of
Species.
80. ā¢
ā¢
ā¢
ā¢
ā¢
ā¢
1858 - the idea of natural selection as the
mechanism of evolutionary change
occurred to Wallace .
He wrote out his ideas in full and sent them
off to Charles Darwin, who he thought
might be interested.
Unknown to Wallace, Darwin had in fact
discovered natural selection about 20 years
earlier, and was part way through writing
his "big book" on the subject.
Darwin was therefore horrified when he
received Wallace's letter, and appealed to
his influential friends Charles Lyell and
Joseph Hooker for advice on what to do.
Lyell and Hooker presented Wallace's
essay, along with two excerpts from
Darwin's writings on the subject, to a
meeting of the Linnean Society of London
in July 1858.
These documents were published together
in the Society's journal on 20 August of the
same year as the paper
81. 5.4 Evolution
5.4.8
Explain two examples of evolution in
response to environmental change; one
must be multiple antibiotic resistance in
bacteriaā¦..
Evolution in bacteria
and the peppered moth (Biston betularia) is
another good example!.....
87. Example 2:Resistance to
antibiotics in bacteria.
ā¢ If a culture of bacteria (eg.within a sick patient) is treated
with antibiotics, Most of the bacteria are killed. A small
number that naturally have genes resistant to antibiotics
will survive.
ā¢ It is important to note that these bacteria did not "learn" to
resist antibiotics. These bacteria have mutated genes that
somehow allowed them to resist antibiotics.
ā¢ These surviving bacteria will reproduce and pass on their
resistant genes. Natural Selection āchoseā the antibiotic
resistant ones because the rest of bacterial population is
killed by the antibiotic.
ā¢ These surviving Mutant bacteria can become a problem
when trying to kill a bacterial infection in a patient, because
if the bacterium is resistant to the antibiotics given, then it
can't be killed.
ā¢ Someone has to come up with a new antibiotic that it is not
resistant to, which can be a difficult expensive process
88. 5.5 Classification
5.5.1
Outline the binomial system of nomenclature
(also referred to as a scientific name)
Swedish botanist, Carolus Linnaeus (17071778)
Internationally recognised name for each
species
89. 5.5 Classification
Rules for binomial nomenclature:
1. The first name is the Genus name
2. The Genus name is CAPITALISED
3. The second name is the species name
4. The species name is not capitalised
5. Italics are used if the name is printed
6. The name is underlined if handwritten
Homo sapiens, Panthera leo, etc.
90. 5.5 Classification
5.5.2
List the seven levels in the hierarchy of taxa
- use an example from two different
kingdoms for each level.
92. Bryophyta ā mosses and liverworts
(0.5m)
ā¢ No roots, just rhizoids
ā¢ Small
ā¢ Spores produced in capsules
Mosses have simple
leaves and stems
Liverworts have
a flattened āthallusā
93. Filicinophyta ā ferns (<15m)
ā¢
ā¢
Roots, leaves and short (non-woody)stems
Pinnate leaves
ā¢
Curled up in buds
ā¢
Spores in sporangia (underside of leaves)
shallow roots
94. Coniferophyta ā conifers (100m)
ā¢ Shrubs or trees with roots, leaves and woody
stems
ā¢ Produce seeds in female cones
(Male cones ļ pollen)
95. Angiospermatophyta ā flowering
plants (100m)
ā¢ Roots, stems and leaves
ā¢ If shrubs or trees, woody stems
ā¢ Produce seeds inside ovaries.
Fruits develop from
ovaries, to disperse
seeds
96. Porifera (sponges)
ā¢ Poriferans don't have mouths;
instead, they have tiny pores in
their outer walls through which
water is drawn.
97. Cnidaria (corals, anemones and jellyfish)
ā¢ Single opening to stomach, that functions as both
mouth and anus
ā¢ It has radial symmetry
ā¢ Armed with stinging cells called nematocysts.
100. Mollusca
ā¢ The body has a head, a
foot and a visceral mass,
covered with a mantle
that typically secretes the
shell.
ā¢ The buccal cavity, at the
anterior of the mollusc,
contains a radula ā a
ribbon of teeth
ā¢ The ventral foot is used in
locomotion.
ā¢ Molluscs are coelomate.