All questions
Question 1
In a grassland ecosystem, a model tracked a rabbit population with and without foxes (predators). Interactions between organisms can affect survival and reproduction. Use the evidence in the table to answer: Which explanation best links the predator-prey interaction to the survival and reproduction outcomes?
Data (same rainfall and plant growth in both areas):
- Area 1 (no foxes): Rabbits at start of spring = 40; rabbit kits born = 60; rabbits alive at end of summer = 85
- Area 2 (foxes present): Rabbits at start of spring = 40; rabbit kits born = 58; rabbits alive at end of summer = 45
- Rabbits survived better in Area 1 because larger animals always survive longer, and foxes are larger than rabbits.
- The presence of foxes lowered rabbit survival, so fewer rabbits were alive at the end of summer even though a similar number of kits were born. (correct answer)
- Rabbit survival changed only because rainfall must have been different, not because of interactions with foxes.
- Rabbits survived less in Area 2 because foxes wanted rabbits to disappear from the ecosystem.
Explanation: Understanding how interactions between organisms in an ecosystem affect their survival and reproduction is a key concept in life science. In predator-prey interactions, the presence of predators like foxes can reduce the survival rates of prey such as rabbits, even if reproduction rates remain similar. Evidence from the model shows that in Area 1 without foxes, rabbit numbers increased from 40 to 85 with 60 kits born, while in Area 2 with foxes, numbers only rose to 45 despite 58 kits born, illustrating lower survival due to predation. To check this, compare the net change in population after accounting for births, which reveals higher mortality in the presence of predators. A common misconception is that environmental factors like rainfall alone determine survival, but the data controls for these, highlighting the role of biotic interactions. Overall, such interactions shape ecosystem dynamics by limiting prey populations through reduced survival. This ensures a balance where predators prevent overpopulation, influencing long-term reproduction success across species.
Question 2
In a coastal tide pool ecosystem, crabs eat snails. A model tracked snail survival over 4 weeks. Interactions between organisms can affect survival and reproduction. Use the evidence in the table to answer: Which prediction about survival is supported if the crab population increases?
Data (same algae available and same temperature):
- Tide pool 1: 2 crabs present; snails at start = 80; snails after 4 weeks = 62
- Tide pool 2: 8 crabs present; snails at start = 80; snails after 4 weeks = 25
- If crab numbers increase, snail survival will likely increase because interactions between organisms always create balance.
- If crab numbers increase, snail survival is impossible to predict because survival is completely random.
- If crab numbers increase, snail survival will not change because only algae amount controls snail survival.
- If crab numbers increase, snail survival will likely decrease because more crabs are associated with fewer snails remaining after 4 weeks. (correct answer)
Explanation: Understanding how interactions between organisms in an ecosystem affect their survival and reproduction is a key concept in life science. Predation interactions, where crabs consume snails, can decrease prey survival as predator numbers rise, altering population dynamics. The table evidence supports this, showing snails dropping from 80 to 62 with 2 crabs but to 25 with 8 crabs, predicting further declines with more crabs. To check predictions, extrapolate survival rates based on crab density trends in the data. A misconception is that survival changes are random, but controlled data links them directly to interaction intensity. Such interactions generally sculpt ecosystems by controlling prey abundance and distribution. This, in turn, influences reproduction opportunities for surviving individuals.
Question 3
In a lake, an invasive fish (Fish I) eats the same insects as a native fish (Fish N), creating competition for food. A survey measured average body condition (higher = better survival chances) and number of eggs per female.
Data (same lake zone, same month):
- Where Fish I is common: Fish N body condition = 0.82; Fish N eggs/female = 1,200
- Where Fish I is rare: Fish N body condition = 1.05; Fish N eggs/female = 1,900
Which explanation best links the interaction to survival and reproduction outcomes using evidence? (Interactions can affect survival and reproduction.)
- Fish N has lower body condition and produces fewer eggs where Fish I is common, supporting that competition for insects reduces Fish N access to food, which can lower survival and reproduction. (correct answer)
- Fish N is weaker in those areas because it is smaller there, and size alone determines survival and reproduction.
- The interaction must be predation, because any negative outcome means one species is eating the other.
- Egg number does not matter for reproduction, so the evidence cannot be used to connect interactions to reproduction.
Explanation: The core skill is evaluating how competitive interactions for food, like between invasive and native fish, impact survival and reproduction in lake ecosystems. These interactions influence outcomes by reducing resource access for one species, leading to poorer body condition and fewer offspring. Evidence from survey data illustrates this effect, showing lower body condition and egg counts for native fish where competitors are common. To check this, compare health and reproductive indicators in areas with varying competitor densities. A common misconception is that negative outcomes always indicate predation rather than competition, but resource sharing can cause similar harms without direct consumption. In general, such interactions shape survival by constraining energy for growth and reproduction. Ultimately, in ecosystems like lakes, these competitions can alter species dominance and reproductive dynamics over time.
Question 4
A coastal marsh has crabs that eat young snails. In a field study, scientists compared two marsh plots with similar plant cover and water salinity.
Data:
- Plot 1 (many crabs): 25% of young snails survived 30 days; average snail egg masses per adult = 2
- Plot 2 (few crabs): 70% of young snails survived 30 days; average snail egg masses per adult = 5
Which statement about survival and reproduction is supported by the evidence? (Interactions can affect survival and reproduction.)
- Snails survived less in Plot 1 because they were not strong enough, so survival depends only on strength, not interactions.
- Higher crab numbers are associated with lower snail survival and fewer egg masses, supporting that predation can reduce survival and also lower reproduction in the snail population. (correct answer)
- Because adult snails were present in both plots, predation cannot affect reproduction; reproduction is determined only by the environment.
- Since the survival was measured for 30 days, the interaction cannot affect reproduction at all.
Explanation: The core skill is recognizing how predatory interactions, such as crabs eating young snails, impact survival and reproduction in marsh ecosystems. These interactions influence outcomes by decreasing juvenile survival rates, which in turn reduces overall population growth and adult reproductive output. Evidence from plot comparisons shows this effect, with lower survival and fewer egg masses in areas with many predators. To check this, compare survival and reproduction data across varying predator densities in similar habitats. A common misconception is that adult presence means predation does not affect reproduction, but reduced young survival limits future breeders. In general, such interactions shape survival by targeting vulnerable life stages, affecting long-term reproduction. Ultimately, in ecosystems like marshes, these predator-prey relationships maintain balance and influence species' reproductive strategies.
Question 5
In a mountain ecosystem, a plant species grows either under shrubs (shade) or in open sun. The shrubs also reduce wind near the ground. A model measured plant survival and flower production (reproduction) in both conditions. Interactions between organisms can affect survival and reproduction. Use the evidence to answer: Which statement about outcomes is supported by the evidence?
Data (same elevation and same rainfall):
- Under shrubs: 100 seedlings planted; 70 survived; average flowers per surviving plant = 8
- Open sun: 100 seedlings planted; 40 survived; average flowers per surviving plant = 9
- The shrub-plant interaction is associated with higher survival (70 vs 40), even though flower production per surviving plant is similar (8 vs 9). (correct answer)
- Open-sun plants have higher reproduction, so they must also have higher survival because survival and reproduction are always the same outcome.
- The interaction always harms the smaller organism, so plants under shrubs should have lower survival than plants in open sun.
- The evidence cannot support any conclusion because only the environment determines survival and reproduction, not interactions.
Explanation: Understanding how interactions between organisms in an ecosystem affect their survival and reproduction is a key concept in life science. Facilitative interactions, like shrubs providing shade and wind protection, can boost survival while having minimal impact on reproduction per individual. Evidence shows 70/100 plants survived under shrubs with 8 flowers average, versus 40/100 in open sun with 9 flowers, highlighting survival benefits despite similar reproduction. To check, contrast survival and reproduction metrics across conditions with controlled variables. A misconception is that survival and reproduction always correlate identically, but here survival improves without proportional reproduction changes. In general, these interactions adapt ecosystems to harsh conditions, aiding species persistence. They influence overall reproduction by increasing the number of surviving reproducers.
Question 6
Two greenhouse setups were identical except for the presence of caterpillars that eat leaves. Setup 1 had caterpillars; Setup 2 had no caterpillars. After 5 weeks: Setup 1—plant survival: 18 of 30; average seeds per plant: 40. Setup 2—plant survival: 27 of 30; average seeds per plant: 70. Interactions can affect survival and reproduction. Which statement about survival and reproduction is supported by the evidence?
- Plants produced fewer seeds in Setup 1 because the plants chose to stop reproducing when caterpillars were present.
- Caterpillar feeding is associated with lower plant survival and lower seed production, because both survival (18/30 vs 27/30) and seeds (40 vs 70) were lower with caterpillars. (correct answer)
- The seed data should be ignored because only survival matters; interactions cannot affect reproduction.
- Plant survival was lower in Setup 1 because the smallest plants always die first, and size alone determines survival.
Explanation: The core skill in middle school life science is understanding how interactions among organisms affect their survival and reproduction in ecosystems. Interactions such as herbivory influence these outcomes by damaging plants, leading to lower survival rates and reduced seed production. Evidence from data, showing plant survival at 18/30 with caterpillars versus 27/30 without, and seeds at 40 versus 70, demonstrates this dual effect on survival and reproduction. To check understanding, compare metrics like survival and offspring counts across setups differing only in the interaction's presence. A common misconception is that plants can 'choose' to stop reproducing, but outcomes result from physical damage, not intent. In general, such interactions can cascade through food webs, affecting multiple levels. Overall, they determine which species persist and reproduce successfully in shared environments.
Question 7
In a grassland ecosystem, hawks prey on field mice. A biologist tracked both populations over 4 years.
Data (same grassland conditions each year):
- Year 1: 120 mice, 8 hawks
- Year 2: 180 mice, 12 hawks
- Year 3: 90 mice, 16 hawks
- Year 4: 140 mice, 10 hawks
Which explanation best links the interaction to survival and reproduction outcomes using evidence from the data? (Interactions can affect survival and reproduction.)
- As hawk numbers increased from Year 2 to Year 3 (12 to 16), mouse numbers decreased (180 to 90), supporting that predation lowered mouse survival; when mice later increased (Year 3 to Year 4), hawk numbers decreased (16 to 10), consistent with fewer prey reducing hawk survival or reproduction. (correct answer)
- The mice survived better because they were smaller, and smaller animals always avoid predators more successfully.
- The changes happened randomly, so the hawk–mouse interaction does not affect survival or reproduction.
- Only the weather controls survival and reproduction in grasslands, so the predator-prey interaction is not relevant to the outcomes shown.
Explanation: The core skill is understanding how interactions between organisms, such as predation between hawks and mice, can affect their survival and reproduction in ecosystems. These interactions influence outcomes by altering access to resources or directly impacting population sizes through consumption or starvation. Evidence from population tracking data demonstrates this effect, showing that as hawk numbers rise, mouse numbers fall due to increased predation, and vice versa, linking to reduced survival or reproduction. To check this, examine data trends for inverse patterns and rule out unrelated factors like weather changes. A common misconception is that smaller animals always evade predators better due to size alone, but survival depends on interaction dynamics rather than size inherently. In general, such interactions shape survival by determining which individuals live long enough to reproduce, thereby affecting population stability. Ultimately, in ecosystems like grasslands, these predator-prey relationships drive cycles that influence overall biodiversity and reproduction success.
Question 8
In a desert ecosystem, a cactus provides nectar for bats, and bats pollinate the cactus (mutualism). Researchers compared two similar cactus patches.
Data (same rainfall and temperature range):
- Patch X (bats present): 70% of cactus flowers became fruit; average 35 seeds per fruit
- Patch Y (bats excluded): 20% of cactus flowers became fruit; average 34 seeds per fruit
Which statement about survival and reproduction is supported by the evidence? (Interactions can affect survival and reproduction.)
- Because seeds per fruit are similar, bat pollination has no effect on cactus reproduction.
- Bat pollination is supported as increasing cactus reproductive success because a higher percent of flowers became fruit when bats were present (70% vs 20), even though seeds per fruit stayed similar. (correct answer)
- The cactus produced more fruit in Patch X because organisms choose to help each other, which improves reproduction for everyone.
- Only soil type can affect fruit set, so the interaction with bats cannot explain the difference in fruit production.
Explanation: The core skill is recognizing how mutualistic interactions, such as pollination between bats and cacti, enhance survival and reproduction in desert ecosystems. These interactions influence outcomes by facilitating processes like fruit set, where pollinators increase the conversion of flowers to seeds, boosting reproductive success. Evidence from patch comparisons shows this effect, with higher fruit production in areas with bats present, despite similar seed counts per fruit. To check this, compare reproductive metrics in presence versus absence of the mutualist under controlled conditions. A common misconception is that mutualisms always involve deliberate choices to help, but they result from coevolved benefits without intention. In general, such interactions shape survival by providing advantages that improve health and reproductive output. Ultimately, in ecosystems like deserts, these mutualisms promote biodiversity and sustain reproduction across interdependent species.
Question 9
A meadow has rabbits and foxes. A fence is built around half the meadow that blocks foxes but still allows rabbits to move and feed normally. After one breeding season, scientists counted rabbits.
Data (same meadow plants and weather):
- Area with foxes: 60 rabbits; 18 rabbit nests
- Area without foxes (fenced): 140 rabbits; 45 rabbit nests
Which prediction about survival and reproduction is supported by the evidence if fox predation increases in an area? (Interactions can affect survival and reproduction.)
- If fox predation increases, rabbit survival and reproduction will likely decrease, because the area with foxes had fewer rabbits and fewer nests than the area without foxes. (correct answer)
- If fox predation increases, rabbit survival will increase because predators make prey stronger over time within one season.
- If fox predation increases, rabbit numbers will stay the same because survival changes are random and not linked to interactions.
- If fox predation increases, rabbit reproduction will increase because all interactions between species always help both species.
Explanation: The core skill is predicting how interactions like predation between foxes and rabbits affect survival and reproduction in meadow ecosystems. These interactions influence outcomes by increasing mortality rates and reducing breeding success in prey populations exposed to predators. Evidence from fenced area comparisons shows this effect, with higher rabbit numbers and nests in predator-free zones, supporting lower survival and reproduction where foxes are present. To check this, use experimental exclusions to isolate interaction impacts and compare population metrics. A common misconception is that predators improve prey survival by making them stronger within a single season, but short-term effects typically decrease prey numbers. In general, such interactions shape survival by selecting for adaptive traits while limiting immediate reproduction. Ultimately, in ecosystems like meadows, these predator-prey dynamics regulate population sizes and influence reproductive strategies.
Question 10
Two bird species (Species A and Species B) use the same nesting sites on a shoreline (competition). A wildlife team counted nests and fledglings in two similar shoreline sections.
Data:
- Section 1: 40 A-nests, 10 B-nests; A fledglings = 120; B fledglings = 15
- Section 2: 15 A-nests, 35 B-nests; A fledglings = 30; B fledglings = 105
Which explanation best links the interaction to survival and reproduction outcomes using evidence? (Interactions can affect survival and reproduction.)
- Species A produced more fledglings only because it is larger, and larger animals always have higher reproduction.
- The data support that when one species has more nests in a section, that species has more fledglings there (A in Section 1; B in Section 2), consistent with competition for nesting sites affecting reproductive success. (correct answer)
- Competition always harms both species equally, so both species should have the same number of fledglings in each section regardless of nest counts.
- Reproduction is not part of survival, so nest-site competition cannot affect reproduction; only predators can.
Explanation: The core skill is understanding how competitive interactions for resources, like nesting sites between bird species, affect survival and reproduction in shoreline ecosystems. These interactions influence outcomes by limiting access to essential spaces, where dominant competitors secure more sites, leading to higher fledgling production. Evidence from nest and fledgling counts demonstrates this effect, showing that sections with more nests for one species correlate with higher reproduction for that species and lower for the other. To check this, correlate resource allocation data with reproductive metrics across similar areas to confirm competition's role. A common misconception is that competition harms both species equally regardless of resource distribution, but outcomes vary based on competitive success. In general, such interactions shape survival by determining resource availability, which directly impacts reproductive fitness. Ultimately, in ecosystems like shorelines, these competitions drive adaptations and influence population distributions and reproduction rates.
Question 11
A coral reef includes cleaner fish that remove parasites from larger reef fish (a cleaning mutualism). Researchers compared fish health and reproduction in two similar reef sites.
Data:
- Site 1 (cleaner fish present): average parasites per fish = 3; average eggs per spawning event = 2,500
- Site 2 (cleaner fish removed): average parasites per fish = 12; average eggs per spawning event = 1,600
Which statement about survival and reproduction is supported by the evidence? (Interactions can affect survival and reproduction.)
- Parasites do not affect survival, so the difference in parasite numbers cannot be linked to any survival outcome.
- Cleaner fish presence is associated with fewer parasites and higher egg production, supporting that the interaction can increase survival chances and reproduction of the larger fish. (correct answer)
- The larger fish produced fewer eggs at Site 2 because they chose not to reproduce when cleaner fish were gone.
- Because eggs per event changed, the interaction must be competition rather than mutualism.
Explanation: The core skill is understanding how mutualistic interactions, such as cleaning between fish species, improve survival and reproduction in coral reef ecosystems. These interactions influence outcomes by reducing parasite loads, which enhances host health and increases energy available for spawning. Evidence from site comparisons demonstrates this effect, with fewer parasites and higher egg production where cleaners are present. To check this, measure health indicators and reproductive outputs with and without the mutualist. A common misconception is that parasites do not impact survival, but high loads can weaken hosts and reduce fitness. In general, such interactions shape survival by alleviating stresses that otherwise hinder longevity and reproduction. Ultimately, in ecosystems like reefs, these mutualisms foster healthier populations and sustained reproductive success.
Question 12
In a grassland ecosystem, ecologists compared two areas for 6 months: Area 1 had many hawks (predators of mice), and Area 2 had very few hawks. Evidence collected: In Area 1, 35% of mice survived to the end of 6 months and the average number of pups per female was 2. In Area 2, 70% of mice survived and the average number of pups per female was 5. Interactions can affect survival and reproduction. Which explanation best links the predator–prey interaction to the survival and reproduction outcomes using evidence?
- Mice survived more in Area 2 because survival is random and not connected to interactions.
- Mice survived less in Area 1 because hawks intended to remove weaker mice, which always improves mouse reproduction.
- More hawks in Area 1 likely increased predation on mice, lowering mouse survival and reducing reproduction compared with Area 2. (correct answer)
- Mice survived less in Area 1 because the environment alone determines survival, not interactions with other organisms.
Explanation: This question tests understanding how interactions between organisms affect survival and reproduction. Predator-prey interactions directly influence both survival rates and reproductive success of prey populations. The evidence shows mice in Area 1 (with many hawks) had only 35% survival and 2 pups per female, while mice in Area 2 (with few hawks) had 70% survival and 5 pups per female. To analyze this, compare outcomes between areas with different predator densities. A common misconception is that survival is random or determined only by the environment, but the data clearly shows predation pressure affects both survival and reproduction. Interactions like predation shape population dynamics by influencing which individuals survive to reproduce and how many offspring they produce.
Question 13
In a forest ecosystem, scientists studied a plant that is pollinated by bees. They covered flowers with mesh bags in one plot (bees could not reach the flowers) and left flowers uncovered in a second plot (bees could visit). Evidence: Bagged flowers produced an average of 3 seeds per flower; uncovered flowers produced an average of 18 seeds per flower. Interactions can affect survival and reproduction. Which prediction about reproduction is supported by the evidence if bee visits decrease across the forest?
- Seed production will likely decrease because fewer bee–flower interactions would reduce pollination. (correct answer)
- Seed production will increase because interactions always harm organisms, so fewer interactions means more reproduction.
- Seed production will stay the same because reproduction depends only on soil quality, not interactions with other organisms.
- Seed production will increase because the strongest flowers will reproduce no matter what, so bee visits do not matter.
Explanation: This question focuses on how mutualistic interactions affect reproduction in plants. Interactions between species can significantly influence reproductive success through processes like pollination. The evidence shows flowers accessible to bees produced 18 seeds on average, while flowers blocked from bees produced only 3 seeds. To evaluate such scenarios, compare reproductive output with and without the interaction. A common misconception is that interactions always harm organisms, but many interactions like pollination are beneficial and essential. If bee visits decrease across the forest, seed production would likely decrease because the mutualistic interaction that enables effective pollination would be reduced. These positive interactions are crucial for maintaining ecosystem function and species reproduction.
Question 14
In a rocky shore ecosystem, barnacles and mussels both attach to rocks and use similar space. Two sites were observed for 1 year. Site X had high mussel density; Site Y had low mussel density. Evidence: At Site X, barnacle coverage of rocks averaged 10% and barnacle juveniles surviving to adulthood was 15%. At Site Y, barnacle coverage averaged 35% and juvenile survival was 45%. Interactions can affect survival and reproduction. Which explanation best links the interaction to the outcomes using evidence?
- Barnacles did worse at Site X because mussels likely competed for space, lowering barnacle survival and adult coverage. (correct answer)
- Barnacles did worse at Site X because mussels are larger, and survival always equals size.
- Barnacles did worse at Site X because all interactions are competition, so predation must have increased.
- Barnacles did worse at Site X because the outcome is random and cannot be linked to interactions.
Explanation: This question tests understanding of competitive interactions between species sharing similar resources. Competition for limited resources like space directly affects survival and reproduction of organisms. The evidence shows barnacles at Site X (high mussel density) had only 10% rock coverage and 15% juvenile survival, while barnacles at Site Y (low mussel density) had 35% coverage and 45% survival. When analyzing competition, look for inverse relationships between competitor density and success metrics. A misconception is that outcomes are random, but the pattern clearly links mussel presence to reduced barnacle success. Competition for space between mussels and barnacles demonstrates how interactions shape community structure by affecting which species can successfully establish and reproduce in a given area.
Question 15
In a lake ecosystem, two groups of the same fish species were studied. Group 1 lived in an area with many parasites that attach to fish gills; Group 2 lived in an area with few parasites. Evidence over one breeding season: Group 1 had 50% adult survival and averaged 200 eggs per female; Group 2 had 80% adult survival and averaged 350 eggs per female. Interactions can affect survival and reproduction. Which statement about the outcomes is supported by the evidence?
- Parasites likely lowered fish survival and reproduction compared with fish in the low-parasite area. (correct answer)
- Fish in Group 1 produced fewer eggs because they chose not to reproduce when parasites were present.
- Fish in Group 1 produced fewer eggs because reproduction is unrelated to interactions and depends only on water temperature.
- The results show that interactions always increase reproduction because parasites are part of the ecosystem.
Explanation: This question focuses on how parasitic interactions affect host survival and reproduction. Parasitism is an interaction where one organism benefits at the expense of another, typically reducing host fitness. The evidence shows fish in the high-parasite area (Group 1) had 50% survival and 200 eggs per female, while fish in the low-parasite area (Group 2) had 80% survival and 350 eggs per female. When analyzing parasitism effects, look for reduced survival and reproductive output in heavily parasitized populations. A misconception is that reproduction depends only on abiotic factors like temperature, but the data shows parasites significantly impact both survival and egg production. Parasitic interactions demonstrate how organisms that exploit hosts can reduce host population growth by decreasing both survival rates and reproductive success.
Question 16
In a coral reef ecosystem, cleaner fish remove parasites from larger fish. Scientists recorded outcomes for similar-sized reef fish in two zones for 3 months. Zone C had many cleaner fish; Zone D had few cleaner fish. Evidence: In Zone C, 75% of reef fish survived and 40% were observed spawning; in Zone D, 55% survived and 25% were observed spawning. Interactions can affect survival and reproduction. Which statement about survival and reproduction is supported by the evidence?
- Zone C fish survived more because the cleaner fish intended to help them, and intention is the main cause of survival.
- More cleaner fish interactions in Zone C are consistent with higher survival and higher spawning compared with Zone D. (correct answer)
- Zone C fish survived more because survival depends only on the environment, not on interactions like cleaning.
- The data show that interactions always reduce survival, so Zone C should have had lower survival than Zone D.
Explanation: This question examines mutualistic interactions where cleaner fish remove parasites from larger fish. Mutualistic interactions benefit both species and can significantly improve survival and reproduction. The evidence shows reef fish in Zone C (many cleaner fish) had 75% survival and 40% spawning, while those in Zone D (few cleaner fish) had 55% survival and 25% spawning. When analyzing mutualism, look for positive correlations between interaction frequency and fitness measures. A misconception is that survival depends only on the environment, but the data shows cleaning interactions improve both survival and reproduction. Cleaning symbiosis demonstrates how positive interactions enhance fitness by reducing parasite loads, allowing hosts to allocate more energy to survival and reproduction. The evidence clearly links more cleaning interactions to better outcomes.
Question 17
In a grassland ecosystem model, researchers compared two fenced plots for 8 weeks. Plot 1 allowed rabbits and foxes (predators) to interact normally. Plot 2 excluded foxes but had the same grass and water. Data: Plot 1—rabbit survival to week 8: 40 of 100; average rabbit litters per female: 1.1. Plot 2—rabbit survival to week 8: 75 of 100; average rabbit litters per female: 1.0. Interactions can affect survival and reproduction. Which explanation best links the interaction to the survival outcome using evidence from the data?
- Rabbit survival was higher in Plot 2 because fox predation was removed, and the data show 75/100 survived without foxes compared with 40/100 with foxes. (correct answer)
- Rabbit survival was lower in Plot 1 because the environment alone determines survival, not interactions, so the survival difference must be random.
- Rabbit survival was lower in Plot 1 because foxes are larger and the larger organism always survives in an interaction.
- Rabbit survival was lower in Plot 1 because rabbits intended to avoid foxes but failed, so fewer survived.
Explanation: The core skill in middle school life science is understanding how interactions among organisms affect their survival and reproduction in ecosystems. Interactions such as predation influence these outcomes by altering the chances of individuals living long enough to reproduce or successfully producing offspring. Evidence from data, like higher rabbit survival in the absence of foxes (75/100 versus 40/100), shows this effect by comparing outcomes in controlled plots with and without the predator. To check understanding, compare survival rates between scenarios and link differences to the specific interaction, ensuring the evidence directly supports the claim. A common misconception is that larger organisms always dominate interactions, but outcomes depend on the type of interaction, not just size. In general, interactions like predation can reduce prey survival, shaping population dynamics in ecosystems. Overall, these interactions play a key role in determining which organisms thrive and reproduce, maintaining balance in natural environments.
Question 18
In a meadow ecosystem model, aphids feed on plant sap, and ladybugs eat aphids. Two plots had the same plant species and watering. Plot M had ladybugs present; Plot N had ladybugs removed. After 4 weeks: Plot M—aphids per plant: 12; plant survival: 28 of 30. Plot N—aphids per plant: 55; plant survival: 21 of 30. Interactions can affect survival and reproduction. Which explanation best links the interactions to the survival outcome using evidence?
- Plant survival was higher in Plot M because ladybugs reduced aphid numbers (12 vs 55), and fewer aphids feeding on plants is associated with more plants surviving (28/30 vs 21/30). (correct answer)
- Plant survival was higher in Plot M because ladybugs are larger than aphids, and larger organisms always cause higher survival for plants.
- Plant survival was lower in Plot N because survival depends only on watering, so the difference must be due to an unmeasured environment factor, not interactions.
- Because aphids increased in Plot N, plant survival must also increase, since more organisms always means a healthier ecosystem.
Explanation: The core skill in middle school life science is understanding how interactions among organisms affect their survival and reproduction in ecosystems. Interactions such as predation within food chains influence these outcomes indirectly, like ladybugs reducing aphids to improve plant survival. Evidence from data, showing plant survival at 28/30 with ladybugs and fewer aphids (12) versus 21/30 with more aphids (55), demonstrates this cascading effect. To check understanding, trace interaction chains and link population numbers to survival outcomes. A common misconception is that more organisms always indicate health, but high pest numbers can harm hosts. In general, these multi-level interactions stabilize ecosystems by controlling pest populations. Overall, they determine survival rates and reproductive potential across trophic levels.
Question 19
A wetland model tracked frogs and a fish species that eats frog tadpoles. Pond A had the fish; Pond B did not. After 3 months: Pond A—tadpoles surviving to become young frogs: 15 of 200; Pond B—tadpoles surviving: 90 of 200. Adult frog breeding pairs were similar at the start in both ponds. Interactions can affect survival and reproduction. What evidence shows the effect of the interaction on survival?
- Tadpole survival was much lower in Pond A (15/200) than in Pond B (90/200), consistent with fish predation reducing tadpole survival. (correct answer)
- Fish must have wanted to help the pond balance, so fewer tadpoles survived in Pond A.
- Because adult breeding pairs started similarly, the survival difference cannot be related to the fish interaction.
- The pond with fish had fewer survivors because interactions are always competition, not predation.
Explanation: The core skill in middle school life science is understanding how interactions among organisms affect their survival and reproduction in ecosystems. Interactions such as predation influence these outcomes by decreasing prey survival, even when initial breeding populations are similar. Evidence from data, like tadpole survival at 15/200 with fish versus 90/200 without, shows this effect through stark differences attributable to the predator. To check understanding, identify survival metrics that directly correlate with the presence of the interacting species. A common misconception is that interactions must be competition, but predation distinctly reduces numbers through consumption. In general, predatory interactions control prey populations and maintain ecological balance. Overall, they ensure that survival and reproduction are dynamically linked in food webs.
Question 20
A lake model shows two fish species (Species A and Species B) that eat similar insect larvae (competition). In Lake 1 both species are present; in Lake 2 Species B is absent. After one breeding season: Lake 1—Species A average offspring per adult: 12; adult survival: 60%. Lake 2—Species A average offspring per adult: 20; adult survival: 75%. Interactions can affect survival and reproduction. Which explanation best links the interaction to the outcomes using evidence?
- Species A had higher survival and reproduction in Lake 2 because competition for insect larvae was reduced when Species B was absent, matching the increases in survival (75% vs 60%) and offspring (20 vs 12). (correct answer)
- Species A had higher survival in Lake 2 because Species A is stronger than Species B, and the strongest organism always survives regardless of evidence.
- Species A had higher reproduction in Lake 2 because interactions are always competition, so predators must have been removed.
- The difference between lakes must be random because survival changes cannot be linked to interactions.
Explanation: The core skill in middle school life science is understanding how interactions among organisms affect their survival and reproduction in ecosystems. Interactions such as competition influence these outcomes by limiting resource access, resulting in lower survival and fewer offspring when competitors are present. Evidence from data, like Species A having 75% survival and 20 offspring without Species B versus 60% and 12 with it, shows this effect through improved metrics in the competitor's absence. To check understanding, analyze differences in survival and reproduction rates and link them to resource competition evidence. A common misconception is that the 'strongest' species always wins regardless, but outcomes depend on specific conditions and interactions. In general, competitive interactions promote adaptation and niche differentiation among species. Overall, they shape ecosystem composition by influencing population growth and persistence.