Course review

C4.1 Populations and communities

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Learning objective

C4.1.1—Populations

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• A population is interacting organisms of the same species in one area • Members have opportunities to interbreed and may be reproductively isolated from others

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Learning objective

C4.1.2—Population size estimation

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• Population size is estimated when full counts are impractical • Random sampling reduces bias; stratified and systematic sampling fit different habitats

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Learning objective

C4.1.3—Random quadrat sampling

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• Quadrats estimate density, frequency, cover, or abundance of sessile organisms • Random coordinates and known quadrat area support representative population estimates

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Learning objective

C4.1.4—Capture-mark-release-recapture

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• Capture-mark-release-recapture estimates motile animal populations • Lincoln index assumes marks persist, mixing occurs, and marking does not affect survival

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Learning objective

C4.1.5—Carrying capacity

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• Carrying capacity is the maximum population an environment can sustain • Limited food, space, mates, and other resources create competition near capacity

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Learning objective

C4.1.6—Negative feedback control

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• Density-dependent factors regulate populations by negative feedback • Competition, predation, waste, and disease intensify as population density rises

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Learning objective

C4.1.7—Population growth curves

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• Exponential growth occurs when resources are abundant and limiting factors are weak • Sigmoid growth slows as resources limit growth near carrying capacity

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Learning objective

C4.1.8—Modelling sigmoid growth

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• Sigmoid curves can be modelled with yeast, duckweed, or other fast-growing organisms • Lag, exponential, transition, and plateau phases show changing growth rate

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Learning objective

C4.1.9—Competition vs. cooperation

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• Intraspecific competition occurs for food, mates, space, or light • Cooperation such as social hunting or parental care can increase survival and reproduction

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Learning objective

C4.1.10—Community

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• A community is all interacting populations in an ecosystem • Species interactions make populations interdependent within the abiotic environment

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Learning objective

C4.1.11—Interspecific relationships

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• Interspecific relationships occur between different species in communities • Categories include herbivory, predation, competition, mutualism, parasitism, and pathogenicity

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Learning objective

C4.1.12—Mutualism as interspecific relationship

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• Mutualism benefits both species through exchanged resources or protection • Examples include legumes and Rhizobium, orchids and mycorrhizae, corals and zooxanthellae

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C4.1.13—Endemic vs. invasive species

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• Endemic species are native to a restricted geographic area • Invasive species can escape controls and compete with endemic species for niche resources

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Learning objective

C4.1.14—Tests for interspecific competition

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• Competition is tested using lab experiments, field observations, or removal studies • Connell's barnacle study links removal experiments to fundamental and realized niches

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Learning objective

C4.1.15—Chi-squared test

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• Chi-squared tests association between two species from quadrat presence/absence data • Compare observed and expected counts, degrees of freedom, and critical values

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Learning objective

C4.1.16—Predator-prey relationships

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• Predator-prey relationships regulate populations through density-dependent feedback • Snowshoe hare and lynx cycles show time-lagged predator and prey changes

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C4.1.17—Top-down vs. bottom-up control

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• Top-down control begins with predators and cascades to lower trophic levels • Bottom-up control begins with producers or resources and affects higher trophic levels

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C4.1.18—Allelopathy and antibiotics

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• Allelopathy releases chemicals that inhibit competitor germination or growth • Antibiotics are microbial allelochemicals, such as penicillin from Penicillium

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