OpenExamPrep

AP Biology: Seed Dispersal Kernel Corridor Restoration Prioritization Practice Questions

Practice applying landscape ecology to seed dispersal with original AP Biology multiple-choice questions. The set compares restoration scenarios, weighs vulnerable bottlenecks against redundant routes, and emphasizes independent evidence, biologically relevant scale, imperfect detection, source strength, uncertainty, and the limits of causal conclusions.

Free original practice questions for study purposes. Open Exam Prep is an independent study resource and is not affiliated with, endorsed by, or sponsored by the makers of AP Exams.
advertisement
Answer the questions below — you get instant feedback and a full explanation for each.
1. A circuit model identifies a narrow degraded strip that carries most modeled flow between two forest patches. Why might restoring this strip receive high priority?
Explanation. A bottleneck concentrates modeled movement because few alternatives connect the patches. Restoring it may yield a large predicted gain, but field evidence and comparison with other restoration scenarios are still needed before selecting an action.
2. Plan A improves one existing corridor, while Plan B creates a second route of similar resistance. What potential advantage does Plan B provide?
Explanation. Redundant paths can reduce dependence on one vulnerable corridor. The benefit should be evaluated by modeling failure scenarios and testing whether dispersers actually use the added route.
3. Which comparison most directly estimates the modeled benefit of two proposed corridor restorations?
Explanation. Holding model assumptions constant isolates the predicted effect of each scenario on measures such as effective resistance or current flow. Area restored alone does not reveal network-level connectivity gain.
4. After a corridor is restored, which study would provide the strongest independent test of its predicted seed-dispersal benefit?
Explanation. Independent movement evidence from treated and comparison sites tests the model beyond its inputs. Before-after measurements help distinguish restoration effects from preexisting site differences and regional time trends.
5. A narrow hedgerow is the top restoration priority on a 20-meter map but disappears when the landscape is modeled with 1-kilometer cells. What is the best response?
Explanation. Cell size can preserve or erase narrow landscape features. Restoration rankings should be reported with scale sensitivity and evaluated against movement observations collected at a biologically meaningful resolution.
6. Searchers recover fewer marked seeds in dense vegetation than in open habitat, even when equal numbers are placed in both. How should this affect corridor evaluation?
Explanation. Observed seed counts combine movement and detection. Correcting or standardizing detection probability prevents dense restored habitat from appearing ineffective simply because seeds are harder to find there.
7. Corridor X receives twice as many seeds as corridor Y, but the source patch near X produces four times as many fruits. What should researchers do before ranking the corridors?
Explanation. Greater seed supply can increase arrivals without a higher per-seed movement probability. Accounting for source strength separates corridor function from differences in the number of seeds available for dispersal.
8. A restoration scenario improves predicted connectivity for a forest bird but reduces open-habitat movement for another disperser. What is the best planning conclusion?
Explanation. Species perceive and cross the same landscape differently. Multispecies prioritization should state its objectives, compare trade-offs, and avoid treating one species-specific resistance surface as universal.
9. Which proposed action is most likely to improve resilience rather than only the current best route?
Explanation. A second functional route adds redundancy and can maintain movement when fire, development, or another disturbance damages the primary corridor. Scenario analysis can test whether the alternative remains useful under those conditions.
10. Two restoration plans have similar predicted connectivity gains, but one costs half as much and remains preferred across several resistance maps. Which statement is most defensible?
Explanation. Similar gains at lower cost indicate better modeled cost-effectiveness, while agreement across plausible resistance maps indicates robustness. Neither result guarantees demographic success, so monitoring remains necessary.
11. A corridor becomes the top priority only when cropland resistance is assigned an extremely high value. What should planners do?
Explanation. A ranking that changes sharply across plausible inputs is uncertain. Sensitivity analysis exposes this dependence, and independent movement evidence can help identify which resistance assumptions predict real dispersal more accurately.
12. Seed arrivals increase after a corridor planting, but there is no untreated comparison site. What is the strongest conclusion?
Explanation. A before-after change without a comparison site cannot separate restoration from other changes over time. The observation supports follow-up study, while a stronger causal inference requires controls or another credible counterfactual.
📘 Want a full structured course and official-style practice tests? Browse top-rated AP Exams prep books and courses. Some links are affiliate links; we may earn a commission at no cost to you.
advertisement

FAQ

Why are connectivity bottlenecks often restoration priorities?

They are places where movement potential is concentrated because few alternatives connect habitat areas. Improving a true bottleneck may yield a large network benefit, but model assumptions, feasibility, and field validation still matter.

Why can a redundant corridor be valuable?

A second functional route can reduce the network's dependence on one vulnerable path and preserve movement after disturbance. Its value depends on whether the focal dispersers can and do use it.

How should restoration scenarios be compared?

Use consistent assumptions to compare predicted gains, costs, risks, and robustness across plausible maps and future conditions. Then test priority locations with independent movement or seed-arrival evidence.

Score: 0 / 12