Ecological Evidence & Environmental Design — Chapter review · Life Science & Scientific Inquiry, Grade 7

Five focused units, a three-session investigation, chapter review, and chapter quiz.

Review the key ideas

Interactions & Ecosystem Change

Organisms interact through feeding, competition, and other relationships. Predation involves one organism consuming another; competition concerns overlapping use of limited resources. Some relationships benefit both participants, while others benefit one and harm another. The effect must be explained within a defined context rather than assigned by an organism’s reputation.

Biodiversity, Variation & Ecosystem Resilience

Biodiversity includes variety within species, among species, and across ecosystems. Species richness is the number of species detected within a defined survey; abundance describes individual counts. Two communities can have equal richness yet different abundance patterns. Detection method and survey effort influence both measures.

Human Activities, Habitat & Environmental Evidence

Human activities can change habitat, water movement, resource availability, and ecosystem relationships. Roads can divide habitat, land cover can affect runoff, and restoring vegetation can change conditions. Effects vary with design, place, scale, and time. A serious explanation traces a mechanism and observations rather than treating all activities as identical.

Sampling Ecosystems & Comparing Evidence

Ecologists often sample because counting every organism across a large habitat is impractical. A quadrat defines an area for selected observations; a transect organizes observations along a line. The method must fit the organism and question. A plant-count method does not automatically detect moving animals equally well.

Designing & Evaluating a Habitat Solution

Engineering begins with a defined problem, criteria for success, and constraints such as available space, resources, time, and safety. An ecological proposal should connect a mechanism with measurements. “Help nature” is too broad unless we define which conditions or functions are being improved.

Problem 1

Illustrative records show plant cover falling from 80% to 50% while herbivore count rises from 10 to 20; drought also occurs. Describe the changes, explain two plausible contributions, and propose evidence that separates them.
Answer and explanation

Herbivory could reduce cover, while drought could also limit plant growth. The two recorded changes do not isolate either cause. Compare feeding observations, water conditions, and suitable reference plots across repeated intervals. Plant cover and counts are different measures, and the model should not claim a single cause from their association alone.

Cover falls 30 percentage points.

Herbivore count doubles.

Compare feeding effects with drought and a suitable matched observation.

Response criteria

  • Explain the relevant biological process accurately.
  • Use the supplied evidence and show calculation steps with units where needed.
  • Connect a labeled model or mechanism with the claim.
  • State an assumption, evidence limitation, or useful next observation.

Problem 2

Does sharing a habitat alone prove competition?
Answer and explanation

No. Resource overlap and limitation, or effects on performance, need evidence.

Problem 3

Illustrative equal-effort samples: A has species counts 8,1,1; B has 4,3,3. Both samples include ten individuals and three detected species. Compare richness, total abundance, and distribution without claiming one number proves universal stability.
Answer and explanation

The samples have equal richness and total count but different distributions. B is more even under the stated observations. These facts do not establish every functional relationship, genetic diversity, or response to future disturbances. Comparable repeated surveys and role-specific evidence would improve a resilience argument.

Richness is three in each.

Total abundance is ten in each.

A is more dominated by one species; B is more evenly distributed.

Response criteria

  • Explain the relevant biological process accurately.
  • Use the supplied evidence and show calculation steps with units where needed.
  • Connect a labeled model or mechanism with the claim.
  • State an assumption, evidence limitation, or useful next observation.

Problem 4

Can equal individual totals have different richness?
Answer and explanation

Yes. Individuals may belong to different numbers of species.

Problem 5

Illustrative matched-rain model: Area A sends 18 L to surface runoff and Area B 10 L after a vegetation treatment. Starting conditions are stated comparable, but only one trial is supplied. Calculate the difference, explain a plausible pathway, and qualify a universal water-quality claim.
Answer and explanation

B has 8 L less recorded runoff in this illustrative trial. Vegetation-associated retention or infiltration could contribute under the stated comparison. The record does not establish all causal details, repeated performance, or absence of contaminants. More matched trials and separate water-quality measures are needed for stronger claims.

Difference: 18−10=8 L.

Connect vegetation and soil with possible infiltration or retention.

Separate runoff amount from all water-quality properties and identify the single-trial limit.

Response criteria

  • Explain the relevant biological process accurately.
  • Use the supplied evidence and show calculation steps with units where needed.
  • Connect a labeled model or mechanism with the claim.
  • State an assumption, evidence limitation, or useful next observation.

Problem 6

Why does a mapped barrier not prove an exact population loss?
Answer and explanation

Actual effects depend on movement, species needs, alternative routes, and observations not given by the line alone.

Problem 7

Illustrative four 1 m² plots contain 2, 4, 3, and 3 plants of one species. A habitat area is 20 m². Find sample density, calculate an extrapolated count, and state the assumptions that prevent calling it a complete census.
Answer and explanation

The sample density is 3 plants/m² and the extrapolated count is 60 plants. It is an estimate assuming the plots represent the 20 m² habitat and detection is adequate. Patchiness, omitted zones, or missed plants could change the result. The supplied data do not establish an exact total.

Total count: 12 across 4 m².

Density: 12/4=3 plants/m².

Estimated larger count: 3×20=60.

Response criteria

  • Explain the relevant biological process accurately.
  • Use the supplied evidence and show calculation steps with units where needed.
  • Connect a labeled model or mechanism with the claim.
  • State an assumption, evidence limitation, or useful next observation.

Problem 8

Why specify whether sightings or individuals are counted?
Answer and explanation

Repeated sightings can involve one individual; the quantities answer different questions.

Problem 9

Illustrative plans within a 100-token budget: A costs 80 and reduces runoff from 20 to 8 L; B costs 60 and reduces it from 20 to 10 L. Both satisfy the same stated space requirement; later maintenance is unknown. Calculate reductions, compare reduction per token, and recommend a feasible option under an explicit criterion with a next test.
Answer and explanation

A provides the larger total reduction in the model, while B gives a slightly larger reduction per token. Both fit the initial budget. Either can be supported under an explicit priority, but maintenance, repeated performance, and real-setting transfer remain unknown. Recommend a matched repeated test and a maintenance estimate; fictional tokens are not actual prices.

A reduction: 12 L; B: 10 L.

A ratio: 12/80=0.15 L/token; B: 10/60≈0.167 L/token.

Choose using total reduction or cost efficiency and identify maintenance uncertainty.

Response criteria

  • Explain the relevant biological process accurately.
  • Use the supplied evidence and show calculation steps with units where needed.
  • Connect a labeled model or mechanism with the claim.
  • State an assumption, evidence limitation, or useful next observation.

Problem 10

How is a criterion different from a constraint?
Answer and explanation

A criterion evaluates success; a constraint limits allowable options, such as a maximum budget or available area.

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