Biology AS AQA
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1-1-biological-molecules-carbohydrates11 主题
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1-1-1-biological-molecules-key-terms
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1-1-2-biological-molecules-reactions
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1-1-3-monosaccharides
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1-1-4-glucose
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1-1-5-the-glycosidic-bond
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1-1-6-chromatography-monosaccharides
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1-1-7-disaccharides
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1-1-8-starch-and-glycogen
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1-1-9-cellulose
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1-1-10-biochemical-tests-sugars-and-starch
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1-1-11-finding-the-concentration-of-glucose
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1-1-1-biological-molecules-key-terms
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1-2-biological-molecules-lipids3 主题
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1-3-biological-molecules-proteins5 主题
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1-4-proteins-enzymes12 主题
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1-4-1-many-proteins-are-enzymes
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1-4-2-enzyme-specificity
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1-4-3-how-enzymes-work
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1-4-4-required-practical-measuring-enzyme-activity
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1-4-5-drawing-a-graph-for-enzyme-rate-experiments
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1-4-6-using-a-tangent-to-find-initial-rate-of-reaction
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1-4-7-limiting-factors-affecting-enzymes-temperature
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1-4-8-limiting-factors-affecting-enzymes-ph
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1-4-10-limiting-factors-affecting-enzymes-enzyme-concentration
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1-4-11-limiting-factors-affecting-enzymes-substrate-concentration
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1-4-12-limiting-factors-affecting-enzymes-inhibitors
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1-4-14-control-of-variables-and-uncertainty
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1-4-1-many-proteins-are-enzymes
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1-5-nucleic-acids-structure-and-dna-replication8 主题
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1-5-2-nucleotide-structure-and-the-phosphodiester-bond
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1-5-3-dna-structure-and-function
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1-5-4-rna-structure-and-function
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1-5-5-ribosomes
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1-5-6-the-origins-of-research-on-the-genetic-code
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1-5-8-the-process-of-semi-conservative-replication
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1-5-9-calculating-the-frequency-of-nucleotide-bases
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1-5-10-the-watson-crick-model
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1-5-2-nucleotide-structure-and-the-phosphodiester-bond
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1-6-atp-water-and-inorganic-ions4 主题
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2-1-cell-structure7 主题
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2-2-the-microscope-in-cell-studies4 主题
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2-3-cell-division-in-eukaryotic-and-prokaryotic-cells8 主题
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2-4-cell-membranes-and-transport9 主题
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2-4-1-the-structure-of-cell-membranes
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2-4-3-the-cell-surface-membrane
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2-4-4-diffusion
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2-4-5-osmosis
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2-4-7-osmosis-in-animal-cells
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2-4-9-required-practical-investigating-water-potential
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2-4-10-active-transport-and-co-transport
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2-4-11-adaptations-for-rapid-transport
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2-4-13-required-practical-factors-affecting-membrane-permeability
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2-4-1-the-structure-of-cell-membranes
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2-5-cell-recognition-and-the-immune-system7 主题
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2-6-vaccines-disease-and-monoclonal-antibodies6 主题
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3-1-adaptations-for-gas-exchange6 主题
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3-2-human-gas-exchange14 主题
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3-2-5-the-alveolar-epithelium
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3-2-1-the-human-gas-exchange-system
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3-2-2-dissecting-the-gas-exchange-system
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3-2-3-microscopy-and-gas-exchange-surfaces
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3-2-4-investigating-gas-exchange
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3-5-5-investigating-heart-rate
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3-5-6-blood-vessels
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3-5-7-capillaries-and-tissue-fluid
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3-5-8-cardiovascular-disease-data
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3-2-10-risk-factor-data
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3-2-11-correlations-and-causal-relationships
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3-2-6-ventilation-and-gas-exchange
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3-2-8-the-effects-of-lung-disease
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3-2-9-pollution-and-smoking-data
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3-2-5-the-alveolar-epithelium
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3-3-digestion-and-absorption5 主题
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3-4-mass-transport-in-animals6 主题
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3-5-the-circulatory-system-in-animals4 主题
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3-6-mass-transport-in-plants6 主题
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4-1-dna-genes-and-chromosomes10 主题
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4-2-dna-and-protein-synthesis3 主题
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4-3-genetic-diversity-mutations-and-meiosis7 主题
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4-4-genetic-diversity-and-adaptation6 主题
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4-5-species-and-taxonomy4 主题
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4-6-biodiversity9 主题
4-6-6-random-sampling
Exam code:7401
Random sampling
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Biodiversity can be hard to measure in large or complex ecosystems (e.g. rainforests)
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Accurate species lists require identifying and counting all organisms present which is only realistic in small or simple habitats (e.g. woodland plots, tree species)
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Sampling is used to estimate the abundance and distribution of species in a representative way
Types of sampling
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Random sampling
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Samples taken at random positions, often using random number generators
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Reduces sampling bias from human choice
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Best for uniform habitats or when species distribution lacks a clear pattern
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Systematic sampling
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Samples taken at set intervals (e.g. along a transect)
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Can introduce bias if the sampler favours easier areas (e.g. fewer species)
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May be unrepresentative of the overall biodiversity
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Frame quadrats
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Some ecosystems are very complex, with large numbers of different species of different sizes
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For the sake of logistics, sampling is often used to estimate the distribution and abundance of species
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The distribution of a species describes how it is spread throughout the ecosystem
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The abundance of a species is the number of individuals of that species
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When carrying out sampling, square frames called quadrats can be used to mark off the area being sampled
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Quadrats of different sizes can be used depending on what is being measured and what is most suitable in the space where the samples are being made.
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Quadrats must be laid randomly in the area to avoid bias
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This random sampling can be done by converting the sampling area into a grid format and labelling each square on the grid with a number
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A random number generator is used to pick the sample points
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Once the quadrat has been laid on the chosen sample point, the abundance of all the different species present can be recorded
Apparatus
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Quadrat
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Random number generator
Method
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Mark up a grid on a map or a scale drawing of the area being studied, and label the grid with coordinates
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The area must be big enough to get a representative estimate for the specific habitat/ecosystem
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Calculating population density
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Use a random number generator to choose a set of coordinates
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Place the quadrat at each generated coordinate.
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Count the number of individuals within each quadrat.
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Population density is expressed as the number of individuals per square metre (m²).
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Use a running mean to determine how many quadrats are needed for a reliable estimate:
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Calculate the mean number of individuals after 2 quadrats, then after 3, then after 4, and so on.
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Stop when the mean stabilises (shows little or no change with additional quadrats).
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To estimate the total population size:
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Multiply the mean number of individuals per quadrat by the total area of the habitat.
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Calculating the abundance of a species using percentage cover
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This method is typically used for plants
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Place a grid quadrat at the selected coordinate
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Each square in the grid represents 1% cover
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Count the number of squares where the species covers more than half of the square
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The percentage cover equals the number of occupied squares
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E.g., if 30 squares are occupied, percentage cover = 30%
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This method is subjective, so the same person should assess all quadrats to maintain consistency
Calculating the abundance of a species using frequency
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Place a frame quadrat at several randomly generated coordinates
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Record whether the species is present or absent in each quadrat
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Calculate frequency as:
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(Number of quadrats where the species is present ÷ Total number of quadrats) × 100
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E.g., if the species is found in 3 out of 10 quadrats, the frequency is 30%.
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Results
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The results from the quadrats can be used to calculate the predicted frequency and density of a species within an area
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Species frequency
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The probability that the species will be found within any quadrat in the sample area
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(Number of quadrats where species is present ÷ Total number of quadrats) × 100
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E.g., if bluebells are found in 18 out of 50 quadrants:
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Frequency = (18 ÷ 50) × 100 = 36%
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Species density
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indicates how many individuals of that species there are per unit area
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Total number of individuals counted ÷ Total area of quadrats
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E.g., 107 bluebells in 50 quadrats (1 m² each)
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Density = 107 ÷ 50 = 2.14 individuals per m²
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Percentage Cover
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This is used when it’s difficult to count individual organisms (e.g. grass or moss)
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The quadrat is divided into 100 smaller squares
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Count the squares where the species occupies over half
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Percentage cover = number of occupied squares
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Using percentage cover and frequency together provides a more complete picture of a species’ distribution within a habitat
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A species with a high percentage cover but low frequency is likely found in dense patches in specific areas rather than spread evenly
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This pattern suggests the species may have a preference for certain environmental conditions, such as:
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light vs. shade
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wet vs. dry
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high vs. low pH
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crowded vs. open areas
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exposed vs. sheltered locations
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This type of data helps identify habitat preferences and ecological patterns.
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Limitations
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Quadrats and transects can only be used for sessile and slow-moving species
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Some species can be counted to find their abundance, but others that are very small or in high numbers require abundance to be calculated using percentage cover or frequency techniques
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The frequency technique shows how common a species is, but it does not give information on the estimated number of individuals or the size of the population
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Examiner Tips and Tricks
In the exam, you may be asked to design an experiment to study species distribution or how organism characteristics vary across a habitat. For example:
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Investigating whether leaf size differs between shaded and exposed areas
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Using random sampling to determine if a species grows in groups or is evenly spread
Your method should include:
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Sampling technique (e.g. random or systematic)
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Data collection (e.g. quadrats, transects)
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What will be measured (e.g. frequency, percentage cover, physical traits)
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Consideration of reliability and validity (e.g. repeats, controlling variables)
Responses