SlideShare a Scribd company logo
Populations
Population
• Group of individuals of the same
  species occupying a common
  geographical area (a species is an
  interbreeding group of organisms
  that produces fertile offspring).
  – Same species, same place, same
    time!
Factors affecting Population
• G.1.1 Outline the factors that affect
  the distribution of plant species,
  including temperature, water, light,
  soil pH, salinity and mineral
  nutrients.
• G.1.2 Explain the factors that affect
  the distribution of animal species,
  including temperature, water,
  breeding sites, food supply and
  territory.
Population Dynamics
• Natality – offspring are produced and
  added to the population (birth)
• Mortality – individuals die and are
  lost from the population (death)
• Immigration – individuals move into
  the area from somewhere else and
  add to the population
• Emigration – individuals move out of
  the area and are lost from the
  population
Population Dynamics
∀∆ = N + I – M – E
• In closed populations: ∆ = N – M
• In English: Change = Births +
  Newcomers – Deaths – Exiters
Populations
5.3.2: Draw a graph
  showing the sigmoid
  (S-shaped) population
  growth curve.
5.3.3: Explain reasons
  for the exponential
  growth phase, the
  plateau phase and the
  transitional phase
  between these two
  phases.
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.
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.
Plateau Phase
• Natality and mortality are equal so
  the population size stays constant.
• Limiting Factors (5.3.4):
  – shortage of food or other resources
  – increase in predators
  – more diseases or parasites
• If a population is limited, then it has
  reached its carrying capacity
Other Population Curves
                 Growth curve for
                 bacteria

      bacteria
      #




                     time




• Boom and bust
Factors Limiting the Growth of Natural
                  Populations

• All populations have a limit for exponential
  growth  biotic potential (intrinsic rate of
  increase), r, under perfect conditions
• Dependent on - # offspring/birth, capacity for
  survival, procreation rate, maturity
• Since population is mainly affected by B-D, the
  factors that limit growth either  birth rate or 
  death rate
• Abiotic factors – blizzards, hurricanes, floods
  (weather) – density independent regulation
  (death rate is independent of the population)
• Biotic factors – predators, competitors, parasites
  – density dependent regulation (the proportion of
  individuals that die will depend on the size of the
  population – the birth rate and death rate are
  affected by the size of the population)
Survivorship Patterns (r-
          and K-)
• r- (small
  letter, small
  creatures)
• K- (large
  letter, large
  creatures)
r- selected
• r-selected populations (small letter – small creatures)
• variable, unpredictable climate  ability to adapt
• density independent factors  mortality
• lots of offspring
• high juvenile mortality
• population below carrying capacity
• low level of competition
• early development, reproduction, small body size, high
  reproductive capacity, reproduce only one, many offspring
• short life-span (less than one year)
• little/no parental care
K- selected
• K-selected populations (capital letter – large creatures)
• offspring’s survival depends on ability to obtain limited
  resources – produce a few highly competitive offspring
  (many young die if climate changes drastically)
• fairly constant/predictable offspring
• density-dependent mortality
• low juvenile mortality
• fairly constant population – at/near carrying capacity
• high levels of competition
• slow development, greater competitive ability, large body
  size, delayed & repeated reproduction, fewer, larger
  offspring
• life-span longer

More Related Content

What's hot

Population dynamics
Population dynamicsPopulation dynamics
Population dynamicsjjcorrea121
 
Population Ecology
Population EcologyPopulation Ecology
Population Ecology
tnewberry
 
Population ecology 2014
Population ecology 2014Population ecology 2014
Population ecology 2014
martyynyyte
 
Minimum viable population and Effective population number
Minimum viable population and Effective population numberMinimum viable population and Effective population number
Minimum viable population and Effective population number
RafiaAli3
 
Population ecology
Population ecologyPopulation ecology
Population ecology
life sciences
 
Lecture 9: Population Ecology
Lecture 9: Population EcologyLecture 9: Population Ecology
Lecture 9: Population Ecology
Erik D. Davenport
 
Population Ecology PPT
Population Ecology PPTPopulation Ecology PPT
Population Ecology PPT
Kamlakar More
 
Population ecology
Population ecologyPopulation ecology
Population ecology
manpreetento
 
Population ecology
Population ecologyPopulation ecology
Population ecology
SomyaShukla6
 
Population ecology
Population ecologyPopulation ecology
Population ecology
Surjya Kumar Saikia
 
Population Dynamics Q And A
Population Dynamics Q And APopulation Dynamics Q And A
Population Dynamics Q And Adeawscience
 
C5 population ecology
C5 population ecologyC5 population ecology
C5 population ecology
lucascw
 
Population ecologyy
Population ecologyyPopulation ecologyy
Population ecologyy
megha gupta
 
Population ecology for epidemiologists
Population ecology for epidemiologistsPopulation ecology for epidemiologists
Population ecology for epidemiologistsBhoj Raj Singh
 
Population Ecology
Population EcologyPopulation Ecology
Population Ecology
rowell bombon
 
Population ecology
Population ecologyPopulation ecology
Population ecologyCrystal Wood
 

What's hot (20)

Population dynamics
Population dynamicsPopulation dynamics
Population dynamics
 
Population Ecology
Population EcologyPopulation Ecology
Population Ecology
 
Population ecology 2014
Population ecology 2014Population ecology 2014
Population ecology 2014
 
Minimum viable population and Effective population number
Minimum viable population and Effective population numberMinimum viable population and Effective population number
Minimum viable population and Effective population number
 
Population ecology
Population ecologyPopulation ecology
Population ecology
 
Lecture 9: Population Ecology
Lecture 9: Population EcologyLecture 9: Population Ecology
Lecture 9: Population Ecology
 
Populations
PopulationsPopulations
Populations
 
Population Ecology PPT
Population Ecology PPTPopulation Ecology PPT
Population Ecology PPT
 
Population ecology
Population ecologyPopulation ecology
Population ecology
 
Population ecology
Population ecologyPopulation ecology
Population ecology
 
Population ecology
Population ecologyPopulation ecology
Population ecology
 
Population Dynamics Q And A
Population Dynamics Q And APopulation Dynamics Q And A
Population Dynamics Q And A
 
C5 population ecology
C5 population ecologyC5 population ecology
C5 population ecology
 
Chapter 4.2
Chapter 4.2Chapter 4.2
Chapter 4.2
 
Population ecologyy
Population ecologyyPopulation ecologyy
Population ecologyy
 
Population ecology for epidemiologists
Population ecology for epidemiologistsPopulation ecology for epidemiologists
Population ecology for epidemiologists
 
Population Ecology
Population EcologyPopulation Ecology
Population Ecology
 
Population ecology
Population ecologyPopulation ecology
Population ecology
 
Ch 6 ed
Ch 6 edCh 6 ed
Ch 6 ed
 
Population ecology
Population ecologyPopulation ecology
Population ecology
 

Viewers also liked

Succession
SuccessionSuccession
Successionsikojp
 
Meiosis Lecture
Meiosis LectureMeiosis Lecture
Meiosis Lecture
sikojp
 
Symbiosis
SymbiosisSymbiosis
Symbiosis
Keith Peterson
 
Simbiosis cristian eugenio.com
Simbiosis cristian eugenio.comSimbiosis cristian eugenio.com
Simbiosis cristian eugenio.comcristianeugenio
 
Symbiosis Presentation
Symbiosis PresentationSymbiosis Presentation
Symbiosis Presentation
Heather Jordan
 
Punnett squares
Punnett squaresPunnett squares
Punnett squares
sikojp
 
Population of pakistan
Population of pakistanPopulation of pakistan
Population of pakistanArfan Afzal
 
Predation, mutualism, commensalism, or parasitism
Predation, mutualism, commensalism, or parasitismPredation, mutualism, commensalism, or parasitism
Predation, mutualism, commensalism, or parasitismRick Turner
 
Symbiosis Powerpoint Presentation
Symbiosis Powerpoint PresentationSymbiosis Powerpoint Presentation
Symbiosis Powerpoint Presentation
clauclau17
 
Ecology: Symbiotic Relationships
Ecology: Symbiotic RelationshipsEcology: Symbiotic Relationships
Ecology: Symbiotic Relationships
Emily Neistadt
 
Concepts on Population
Concepts on PopulationConcepts on Population
Concepts on Population
Liwayway Memije-Cruz
 

Viewers also liked (16)

Succession
SuccessionSuccession
Succession
 
Meiosis Lecture
Meiosis LectureMeiosis Lecture
Meiosis Lecture
 
2 Populations
2   Populations2   Populations
2 Populations
 
Symbiosis
SymbiosisSymbiosis
Symbiosis
 
Simbiosis
SimbiosisSimbiosis
Simbiosis
 
Simbiosis cristian eugenio.com
Simbiosis cristian eugenio.comSimbiosis cristian eugenio.com
Simbiosis cristian eugenio.com
 
Symbiosis Presentation
Symbiosis PresentationSymbiosis Presentation
Symbiosis Presentation
 
Punnett squares
Punnett squaresPunnett squares
Punnett squares
 
Symbiotic Relationships
Symbiotic RelationshipsSymbiotic Relationships
Symbiotic Relationships
 
Simbiosis quinto
Simbiosis quintoSimbiosis quinto
Simbiosis quinto
 
Population of pakistan
Population of pakistanPopulation of pakistan
Population of pakistan
 
Predation, mutualism, commensalism, or parasitism
Predation, mutualism, commensalism, or parasitismPredation, mutualism, commensalism, or parasitism
Predation, mutualism, commensalism, or parasitism
 
Symbiosis
SymbiosisSymbiosis
Symbiosis
 
Symbiosis Powerpoint Presentation
Symbiosis Powerpoint PresentationSymbiosis Powerpoint Presentation
Symbiosis Powerpoint Presentation
 
Ecology: Symbiotic Relationships
Ecology: Symbiotic RelationshipsEcology: Symbiotic Relationships
Ecology: Symbiotic Relationships
 
Concepts on Population
Concepts on PopulationConcepts on Population
Concepts on Population
 

Similar to Populations

Population ecologyy
Population ecologyyPopulation ecologyy
Population ecologyy
megha gupta
 
2.1 Population Dynamics new revision slides
2.1  Population Dynamics new revision slides2.1  Population Dynamics new revision slides
2.1 Population Dynamics new revision slides
EvanChristopherMurph
 
Population ecology and human impact
Population ecology and human impact Population ecology and human impact
Population ecology and human impact Mmatsela Kobe
 
POPULATION AND BASIC POPULATION CHARACTERS.pptx
POPULATION AND BASIC POPULATION CHARACTERS.pptxPOPULATION AND BASIC POPULATION CHARACTERS.pptx
POPULATION AND BASIC POPULATION CHARACTERS.pptx
SherazSwati1
 
Concept of Carrying capacity, Population growth and Regulation, Population Fl...
Concept of Carrying capacity, Population growth and Regulation, Population Fl...Concept of Carrying capacity, Population growth and Regulation, Population Fl...
Concept of Carrying capacity, Population growth and Regulation, Population Fl...
drupad malik
 
Unit 3 population ecology
Unit 3 population ecologyUnit 3 population ecology
Unit 3 population ecologyRaymond Ngobeni
 
Population ecology
Population ecologyPopulation ecology
Population ecology
Kamlakar More
 
Lesson 28 changes in the ecosystems
Lesson 28 changes in the ecosystemsLesson 28 changes in the ecosystems
Lesson 28 changes in the ecosystems
beaduro
 
Unit 3_Population Ecology_Complete.pptx
Unit 3_Population Ecology_Complete.pptxUnit 3_Population Ecology_Complete.pptx
Unit 3_Population Ecology_Complete.pptx
Nkosenhle Dube
 
ENVI 5 population FINAL
ENVI 5  population FINALENVI 5  population FINAL
ENVI 5 population FINAL
Yhan Marianne
 
Human Population Dynamics
Human Population DynamicsHuman Population Dynamics
Human Population DynamicsElisa
 
Population dynamics presentation
Population dynamics presentationPopulation dynamics presentation
Population dynamics presentationJackieAndrews
 
Population Ecology.pptx
Population Ecology.pptxPopulation Ecology.pptx
Population Ecology.pptx
YaminiPurohit1
 
Population Ecology Notes
Population Ecology NotesPopulation Ecology Notes
Population Ecology Notes
jlehmkuhler
 
Principles of Ecology
Principles of EcologyPrinciples of Ecology
Principles of Ecology
H Janardan Prabhu
 
Population ecology
Population ecologyPopulation ecology
Population ecology
SankritaShankarGaonk
 
Population ecology intro
Population ecology introPopulation ecology intro
Population ecology introMaria Donohue
 

Similar to Populations (20)

Population ecologyy
Population ecologyyPopulation ecologyy
Population ecologyy
 
Lecture 7 populations
Lecture 7 populationsLecture 7 populations
Lecture 7 populations
 
2.1 Population Dynamics new revision slides
2.1  Population Dynamics new revision slides2.1  Population Dynamics new revision slides
2.1 Population Dynamics new revision slides
 
Population ecology and human impact
Population ecology and human impact Population ecology and human impact
Population ecology and human impact
 
POPULATION AND BASIC POPULATION CHARACTERS.pptx
POPULATION AND BASIC POPULATION CHARACTERS.pptxPOPULATION AND BASIC POPULATION CHARACTERS.pptx
POPULATION AND BASIC POPULATION CHARACTERS.pptx
 
Concept of Carrying capacity, Population growth and Regulation, Population Fl...
Concept of Carrying capacity, Population growth and Regulation, Population Fl...Concept of Carrying capacity, Population growth and Regulation, Population Fl...
Concept of Carrying capacity, Population growth and Regulation, Population Fl...
 
Unit 3 population ecology
Unit 3 population ecologyUnit 3 population ecology
Unit 3 population ecology
 
Population ecology
Population ecologyPopulation ecology
Population ecology
 
Lesson 28 changes in the ecosystems
Lesson 28 changes in the ecosystemsLesson 28 changes in the ecosystems
Lesson 28 changes in the ecosystems
 
Unit 3_Population Ecology_Complete.pptx
Unit 3_Population Ecology_Complete.pptxUnit 3_Population Ecology_Complete.pptx
Unit 3_Population Ecology_Complete.pptx
 
ENVI 5 population FINAL
ENVI 5  population FINALENVI 5  population FINAL
ENVI 5 population FINAL
 
Human Population Dynamics
Human Population DynamicsHuman Population Dynamics
Human Population Dynamics
 
Population ecology
Population ecologyPopulation ecology
Population ecology
 
Population dynamics presentation
Population dynamics presentationPopulation dynamics presentation
Population dynamics presentation
 
Population Ecology.pptx
Population Ecology.pptxPopulation Ecology.pptx
Population Ecology.pptx
 
Population Ecology Notes
Population Ecology NotesPopulation Ecology Notes
Population Ecology Notes
 
Principles of Ecology
Principles of EcologyPrinciples of Ecology
Principles of Ecology
 
Popeco
PopecoPopeco
Popeco
 
Population ecology
Population ecologyPopulation ecology
Population ecology
 
Population ecology intro
Population ecology introPopulation ecology intro
Population ecology intro
 

More from sikojp

Aligning Goals and Evaluations MEMSPA2014
Aligning Goals and Evaluations MEMSPA2014Aligning Goals and Evaluations MEMSPA2014
Aligning Goals and Evaluations MEMSPA2014
sikojp
 
CCS-CMU PD
CCS-CMU PDCCS-CMU PD
CCS-CMU PD
sikojp
 
IB Biology Blended
IB Biology BlendedIB Biology Blended
IB Biology Blended
sikojp
 
PowerPoint for Formative Assessment and Game Design
PowerPoint for Formative Assessment and Game DesignPowerPoint for Formative Assessment and Game Design
PowerPoint for Formative Assessment and Game Design
sikojp
 
Technology for Feedback and Formative Assessment
Technology for Feedback and Formative AssessmentTechnology for Feedback and Formative Assessment
Technology for Feedback and Formative Assessment
sikojp
 
AECT2012-Design-based research on the use of homemade PowerPoint games
AECT2012-Design-based research on the use of homemade PowerPoint gamesAECT2012-Design-based research on the use of homemade PowerPoint games
AECT2012-Design-based research on the use of homemade PowerPoint games
sikojp
 
AERA2013-Refining the use of homemade PowerPoint Games in a secondary science...
AERA2013-Refining the use of homemade PowerPoint Games in a secondary science...AERA2013-Refining the use of homemade PowerPoint Games in a secondary science...
AERA2013-Refining the use of homemade PowerPoint Games in a secondary science...
sikojp
 
SITE2014-Blended Learning from the Perspective of Parents and Students
SITE2014-Blended Learning from the Perspective of Parents and StudentsSITE2014-Blended Learning from the Perspective of Parents and Students
SITE2014-Blended Learning from the Perspective of Parents and Students
sikojp
 
AERA2014-Parent and Student Perceptions of a Blended Learning Experience
AERA2014-Parent and Student Perceptions of a Blended Learning ExperienceAERA2014-Parent and Student Perceptions of a Blended Learning Experience
AERA2014-Parent and Student Perceptions of a Blended Learning Experience
sikojp
 
Site2013-"Badgering" Preservice Teacher into Learning Issues and Trends in Te...
Site2013-"Badgering" Preservice Teacher into Learning Issues and Trends in Te...Site2013-"Badgering" Preservice Teacher into Learning Issues and Trends in Te...
Site2013-"Badgering" Preservice Teacher into Learning Issues and Trends in Te...sikojp
 
SITE 2014 - Applying the ESPRI to K-12 Blended Learning
SITE 2014 - Applying the ESPRI to K-12 Blended LearningSITE 2014 - Applying the ESPRI to K-12 Blended Learning
SITE 2014 - Applying the ESPRI to K-12 Blended Learning
sikojp
 
IT6230 - Generation Unit Summary
IT6230 - Generation Unit SummaryIT6230 - Generation Unit Summary
IT6230 - Generation Unit Summary
sikojp
 
IT6230 - Generation Unit Intro
IT6230 - Generation Unit IntroIT6230 - Generation Unit Intro
IT6230 - Generation Unit Intro
sikojp
 
Using PowerPoint as a game design tool in science education.
Using PowerPoint as a game design tool in science education. Using PowerPoint as a game design tool in science education.
Using PowerPoint as a game design tool in science education.
sikojp
 
Evolution
EvolutionEvolution
Evolutionsikojp
 
Energy flow
Energy flowEnergy flow
Energy flowsikojp
 
Classification
ClassificationClassification
Classificationsikojp
 
Biomes
BiomesBiomes
Biomessikojp
 
Sampling
SamplingSampling
Samplingsikojp
 
Dna replication Lecture
Dna replication LectureDna replication Lecture
Dna replication Lecturesikojp
 

More from sikojp (20)

Aligning Goals and Evaluations MEMSPA2014
Aligning Goals and Evaluations MEMSPA2014Aligning Goals and Evaluations MEMSPA2014
Aligning Goals and Evaluations MEMSPA2014
 
CCS-CMU PD
CCS-CMU PDCCS-CMU PD
CCS-CMU PD
 
IB Biology Blended
IB Biology BlendedIB Biology Blended
IB Biology Blended
 
PowerPoint for Formative Assessment and Game Design
PowerPoint for Formative Assessment and Game DesignPowerPoint for Formative Assessment and Game Design
PowerPoint for Formative Assessment and Game Design
 
Technology for Feedback and Formative Assessment
Technology for Feedback and Formative AssessmentTechnology for Feedback and Formative Assessment
Technology for Feedback and Formative Assessment
 
AECT2012-Design-based research on the use of homemade PowerPoint games
AECT2012-Design-based research on the use of homemade PowerPoint gamesAECT2012-Design-based research on the use of homemade PowerPoint games
AECT2012-Design-based research on the use of homemade PowerPoint games
 
AERA2013-Refining the use of homemade PowerPoint Games in a secondary science...
AERA2013-Refining the use of homemade PowerPoint Games in a secondary science...AERA2013-Refining the use of homemade PowerPoint Games in a secondary science...
AERA2013-Refining the use of homemade PowerPoint Games in a secondary science...
 
SITE2014-Blended Learning from the Perspective of Parents and Students
SITE2014-Blended Learning from the Perspective of Parents and StudentsSITE2014-Blended Learning from the Perspective of Parents and Students
SITE2014-Blended Learning from the Perspective of Parents and Students
 
AERA2014-Parent and Student Perceptions of a Blended Learning Experience
AERA2014-Parent and Student Perceptions of a Blended Learning ExperienceAERA2014-Parent and Student Perceptions of a Blended Learning Experience
AERA2014-Parent and Student Perceptions of a Blended Learning Experience
 
Site2013-"Badgering" Preservice Teacher into Learning Issues and Trends in Te...
Site2013-"Badgering" Preservice Teacher into Learning Issues and Trends in Te...Site2013-"Badgering" Preservice Teacher into Learning Issues and Trends in Te...
Site2013-"Badgering" Preservice Teacher into Learning Issues and Trends in Te...
 
SITE 2014 - Applying the ESPRI to K-12 Blended Learning
SITE 2014 - Applying the ESPRI to K-12 Blended LearningSITE 2014 - Applying the ESPRI to K-12 Blended Learning
SITE 2014 - Applying the ESPRI to K-12 Blended Learning
 
IT6230 - Generation Unit Summary
IT6230 - Generation Unit SummaryIT6230 - Generation Unit Summary
IT6230 - Generation Unit Summary
 
IT6230 - Generation Unit Intro
IT6230 - Generation Unit IntroIT6230 - Generation Unit Intro
IT6230 - Generation Unit Intro
 
Using PowerPoint as a game design tool in science education.
Using PowerPoint as a game design tool in science education. Using PowerPoint as a game design tool in science education.
Using PowerPoint as a game design tool in science education.
 
Evolution
EvolutionEvolution
Evolution
 
Energy flow
Energy flowEnergy flow
Energy flow
 
Classification
ClassificationClassification
Classification
 
Biomes
BiomesBiomes
Biomes
 
Sampling
SamplingSampling
Sampling
 
Dna replication Lecture
Dna replication LectureDna replication Lecture
Dna replication Lecture
 

Recently uploaded

Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..
UiPathCommunity
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
UiPathCommunity
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
ControlCase
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
Sri Ambati
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
UiPathCommunity
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
Peter Spielvogel
 
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Nexer Digital
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
The Metaverse and AI: how can decision-makers harness the Metaverse for their...
The Metaverse and AI: how can decision-makers harness the Metaverse for their...The Metaverse and AI: how can decision-makers harness the Metaverse for their...
The Metaverse and AI: how can decision-makers harness the Metaverse for their...
Jen Stirrup
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Kari Kakkonen
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
Alan Dix
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
Alex Pruden
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 

Recently uploaded (20)

Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..UiPath Community Day Dubai: AI at Work..
UiPath Community Day Dubai: AI at Work..
 
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...
 
PCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase TeamPCI PIN Basics Webinar from the Controlcase Team
PCI PIN Basics Webinar from the Controlcase Team
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
GenAISummit 2024 May 28 Sri Ambati Keynote: AGI Belongs to The Community in O...
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
 
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
The Metaverse and AI: how can decision-makers harness the Metaverse for their...
The Metaverse and AI: how can decision-makers harness the Metaverse for their...The Metaverse and AI: how can decision-makers harness the Metaverse for their...
The Metaverse and AI: how can decision-makers harness the Metaverse for their...
 
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdfFIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing DaysClimate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
 
Epistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI supportEpistemic Interaction - tuning interfaces to provide information for AI support
Epistemic Interaction - tuning interfaces to provide information for AI support
 
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofszkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 

Populations

  • 2. Population • Group of individuals of the same species occupying a common geographical area (a species is an interbreeding group of organisms that produces fertile offspring). – Same species, same place, same time!
  • 3. Factors affecting Population • G.1.1 Outline the factors that affect the distribution of plant species, including temperature, water, light, soil pH, salinity and mineral nutrients. • G.1.2 Explain the factors that affect the distribution of animal species, including temperature, water, breeding sites, food supply and territory.
  • 4. Population Dynamics • Natality – offspring are produced and added to the population (birth) • Mortality – individuals die and are lost from the population (death) • Immigration – individuals move into the area from somewhere else and add to the population • Emigration – individuals move out of the area and are lost from the population
  • 5. Population Dynamics ∀∆ = N + I – M – E • In closed populations: ∆ = N – M • In English: Change = Births + Newcomers – Deaths – Exiters
  • 6. Populations 5.3.2: Draw a graph showing the sigmoid (S-shaped) population growth curve. 5.3.3: Explain reasons for the exponential growth phase, the plateau phase and the transitional phase between these two phases.
  • 7. 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.
  • 8. 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.
  • 9. Plateau Phase • Natality and mortality are equal so the population size stays constant. • Limiting Factors (5.3.4): – shortage of food or other resources – increase in predators – more diseases or parasites • If a population is limited, then it has reached its carrying capacity
  • 10.
  • 11. Other Population Curves Growth curve for bacteria bacteria # time • Boom and bust
  • 12. Factors Limiting the Growth of Natural Populations • All populations have a limit for exponential growth  biotic potential (intrinsic rate of increase), r, under perfect conditions • Dependent on - # offspring/birth, capacity for survival, procreation rate, maturity • Since population is mainly affected by B-D, the factors that limit growth either  birth rate or  death rate • Abiotic factors – blizzards, hurricanes, floods (weather) – density independent regulation (death rate is independent of the population) • Biotic factors – predators, competitors, parasites – density dependent regulation (the proportion of individuals that die will depend on the size of the population – the birth rate and death rate are affected by the size of the population)
  • 13. Survivorship Patterns (r- and K-) • r- (small letter, small creatures) • K- (large letter, large creatures)
  • 14. r- selected • r-selected populations (small letter – small creatures) • variable, unpredictable climate  ability to adapt • density independent factors  mortality • lots of offspring • high juvenile mortality • population below carrying capacity • low level of competition • early development, reproduction, small body size, high reproductive capacity, reproduce only one, many offspring • short life-span (less than one year) • little/no parental care
  • 15. K- selected • K-selected populations (capital letter – large creatures) • offspring’s survival depends on ability to obtain limited resources – produce a few highly competitive offspring (many young die if climate changes drastically) • fairly constant/predictable offspring • density-dependent mortality • low juvenile mortality • fairly constant population – at/near carrying capacity • high levels of competition • slow development, greater competitive ability, large body size, delayed & repeated reproduction, fewer, larger offspring • life-span longer