The Tree That Hires Bodyguards: Ants, Thorns and Nectar
I can observe an interaction between two species, describe what each partner gives and gets, and write a first explanation that I could test.
Chapter 21 · Unit 7: Resources in Ecosystems · Segment 3
Why do the same kinds of relationships between species appear in ecosystems that share no species at all, and how can knowing those patterns let us predict what happens when one population changes?
Students figure out that every meeting between two species in an ecosystem can be sorted by what each partner gains or loses: predation and parasitism help one and harm the other, competition harms both, mutualism helps both, and commensalism helps one while leaving the other with no measurable change. They use these plus-minus-zero patterns to read predator-prey graphs, to explain why the same five relationships show up in a kelp forest, a desert, a rainforest and a city park, and to predict what happens to a population when one of its partners changes. The lesson's engineering strand, which asks what criteria and constraints a wildlife-monitoring tool must meet, becomes a design challenge to shield a frog-call sensor from highway noise.
Estimated class time: presentation about 132 minutes · worksheets about 420 minutes in total · labs 4 sessions. Six to seven 50-minute periods: one for the phenomenon and predation vocabulary; two for predator-prey dynamics and the bead simulation; one for mutualism, commensalism and parasitism with the card mystery; two for the sound-shield design challenge; one for synthesis and mastery.
In the dry forests of Central America, a bullhorn acacia grows pairs of fat, hollow thorns and leaks sugary nectar from glands on its leaf stalks. The tree gets no food from that nectar, and the hollow thorns do not help it stand or grow. Yet a colony of small, fierce ants moves into the thorns, drinks the nectar, and patrols the branches day and night. Touch a branch and dozens of ants pour out stinging. The ants also bite off any vine or seedling that leans against the trunk. If a tree spends energy on sugar it cannot use and thorns it cannot use, why is it still standing while its neighbors are stripped by goats and deer?
Notice and wonder prompts
California NGSS, Grade 7 Preferred Integrated Course Model. Each entry says whether this chapter's work assesses the performance expectation, gives practice toward it, or supports it as background; the resource lists below repeat this for every worksheet and lab.
Construct an explanation that predicts patterns of interactions among organisms across multiple ecosystems.
The lesson's core claim is that predation, competition, mutualism, commensalism and parasitism recur in every ecosystem even though the species change. Lab 2, the slide task, W6 and W9 ask students to classify interactions from evidence, state the pattern, and use it to predict an interaction or a population change in an ecosystem they have not studied, which is evidence toward this PE as written.
Analyze and interpret data to provide evidence for the effects of resource availability on organisms and populations of organisms in an ecosystem.
Predator-prey cycles and competition only make sense if students already see food, space and nest sites as limited resources. Lab 1 builds that in with a meadow that can only feed sixty voles, and the chapter refers back to Lesson 20 rather than reteaching it.
Define the criteria and constraints of a design problem with sufficient precision to ensure a successful solution, taking into account relevant scientific principles and potential impacts on people and the natural environment that may limit possible solutions.
The textbook's engineering spread shows conservation scientists stating what a wolf-tracking tool must do and what limits it. In Lab 3 students write their own measurable criteria and constraints for a shield that protects a frog-call sensor from highway noise, including effects on the animals being monitored, before they build anything.
Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem.
In Lab 3 and W9 students score two or more shield designs against the same criteria in a decision matrix and defend the choice with test data. The role is practice rather than assesses in both places: the criteria and the scoring steps are supplied (fully in W9, partly in Lab 3), and only a few designs are compared.
Develop and use a model to describe that waves are reflected, absorbed, or transmitted through various materials.
Lab 3 and W9 use the idea that materials reflect, absorb or transmit sound to plan and explain noise shields. MS-PS4-2 is a Grade 8 performance expectation in the California integrated sequence; here it is used qualitatively as background and is not assessed.
Assessment boundary: Assessment is limited to qualitative applications pertaining to light and mechanical waves.
Interactions Among Organisms: five patterns that show up everywhere. Original, editable slides with speaker notes: a phenomenon opener, learning targets, the chapter's concepts with diagrams, vocabulary in context, 3 checks for understanding, 2 discussion prompts, an application task, a misconception check, a synthesis and an exit ticket.

Ten different tasks, one per instructional blueprint. Each has a student PDF (low ink, US Letter), an editable DOCX, an HTML preview, and a separate teacher answer key with reasoning.
I can observe an interaction between two species, describe what each partner gives and gets, and write a first explanation that I could test.
I can use the terms predation, competition, mutualism, commensalism and parasitism to classify new interactions by their effect on each partner, and explain how the terms relate to one another.
I can explain, with evidence from a passage, why predator and prey populations rise and fall in a lagged pattern and why that pattern is a useful tool rather than a fixed law.
I can read a predator-prey graph to find peaks, lows and the lag between them, explain each stage of the cycle as cause and effect, and build a model that predicts the same pattern for a new pair of species.
I can graph predator and prey counts, calculate lags, percent changes and prey-per-predator ratios, and use the results to explain a repeating pattern and the factors that bend it.
I can use population data to decide which kind of interaction explains a decline, support the claim with specific evidence, and use the pattern of that interaction to predict what will happen next and what a manager should do.
I can find the errors in another student's graph and claims about species interactions, explain which idea went wrong, and rewrite each claim so it is scientifically accurate.
I can work with a team to classify real interactions from evidence, write rules that predict what happens to one partner when the other partner's population changes, and apply those rules to an ecosystem none of us has studied.
I can turn vague goals into precise criteria and constraints, evaluate competing designs against them with test data, choose and justify a design, and explain how accurate monitoring lets scientists test a prediction about how two species interact.
I can classify interactions with plus, minus and zero codes, read and predict predator-prey patterns, predict ripple effects in an ecosystem I have not studied, and tell a criterion from a constraint.
Three different investigation approaches. Each has a teacher guide (purpose, materials with quantities, estimated cost, prep, safety, procedure, expected observations, debrief, answer key, assessment criteria, accessibility adaptations, low-cost alternative) and a student recording sheet.
If foxes can only survive by catching voles, and voles can only breed if they are not caught, what pattern do the two populations make over twenty rounds, and which one changes first?
Field notes from four ecosystems that share no species describe sixteen pairs of organisms but never name the relationship. Can your group decode who gains and who loses from the evidence, find the pattern the four ecosystems share, and predict the four missing interactions before they are revealed?
Can your team build a shield that cuts the highway noise reaching a frog-call sensor by at least 5 decibels, while keeping the pond side open and staying within the kit budget, and which of your two designs best meets the criteria when they are compared systematically?
Materials overview: No chemicals, no flames, no live animals. Lab 1 uses dried lima beans or pony beads, 10 cm cardstock squares, a 30 cm square 'meadow' and graph paper. Lab 2 uses a printed and cut card set. Lab 3 uses two phones or tablets per test station, with two or three stations per class (one device plays a traffic-noise clip and a frog-pitch tone, the other runs a free sound-level app as the 'sensor'; a listener test replaces the app if none is available), plus per-group kits of cardboard, a shoebox, a towel, felt, an egg carton, foil, bubble wrap, bagged cotton balls, two old paperbacks, masking tape and scissors. Playback stays at a posted setting that reads about 65 to 75 dB at the sensor, a little louder than conversation.
Review status: reviewed · 2026-10-19 · W4 is the predator-prey graph worksheet, not a classification grid: period 2 of the sequence now places W4 after slide 10, period 4 keeps W8 only, slides 3, 15 and 17 now point to W2 and W8 for the plus-minus-zero grid, and the sourceReferences slide numbers and worksheet lists were corrected (the grid is slide 17, mutualism slide 14, commensalism and parasitism slides 15, 16, 19 and 20). MS-ETS1-2 roles aligned: W9 changed from assesses to practice to match chapter.json and Lab 3, because the criteria, pass marks and cell-by-cell steps are supplied and only one design survives; the chapter note now says so. MS-PS4-2 (Grade 8) added to the chapter standards as supports, matching Lab 3. Lab 1 bead model re-run independently (4,000 spatial runs of the stated rules: 30 cm meadow, 10 cm cards that must land fully on it, beads 0.9 to 2.4 cm). The arithmetic keys (q3: 26 voles, 3 foxes; q9: 52 voles, 8 foxes) are correct, but the expected observations were optimistic: falls begin at about 7 to 9 foxes between rounds 8 and 14, lows of about 10 to 35, and about one group in five with small beads has no full cycle by round 20. Expected observations, the q1 key, debrief, low-cost note, model limitations and teacher notes were adjusted; lima beans are now listed first, and the scatter step drops beads over the middle (it said the X corner, contradicting likely difficulties). Decibel arithmetic checked: 3 dB per halving of sound energy (10 log10 2 = 3.01), 12 dB = 1/16 (about 6 percent), 6 dB = 1/4, 9 dB = 1/8, Design C passes 4 times Design A's energy; W9 matrix (A keep; B fails K2 at 75 kg; C fails all criteria; D fails K3) and Lab 3 q4 (71.0, 64.7, 6.3 dB) recomputed. Lab 3 q7 key now states the 3 dB net gain in signal over noise. Lab 2's sixteen cards and four reveal cards re-rated independently with the one-tenth rule; every rating, the one-gap-per-row grid (kelp parasitism, desert commensalism, park mutualism, rainforest competition) and the q5 tests (starlings 14 > 8.6, trees 0.5 < 1.25) match the key. Facts verified: bullhorn acacia nectaries, Beltian bodies and vine clearing, and the Kenyan fencing result (Palmer et al. 2008); yucca moths as sole pollinators whose larvae eat only yucca seeds, and unpollinated garden yuccas; Smyrna figs and the 1899 fig wasp; winter ticks as one-host ticks that kill many calves in bad years (slide 15 example changed from 'rarely kill outright'); oak and desert mistletoe as partial parasites; barred owl removal nearly halting spotted owl declines (reported 2021); Kluane food x3, predator exclusion x2, both x11. Softened two claims stated as findings: the gray whale barnacle card (W8 card 8 and its keys) now says no harm or benefit has been measured rather than citing a health comparison, and the starling-bluebird vocabulary sentence no longer claims both species raise fewer chicks. All numeric, multiple-choice, true/false, fill and table items in the ten worksheets and three labs were re-solved; no other key errors found. Six-word overlap with the lesson text: one quoted phrase inside an accuracy note, which is a citation of the book's claim. Text limits, diagram fields, caGrade values and pacing (132 minutes) check out.
Verified against the student edition of Bring Science Alive! 7th Grade Integrated (Student Edition). Printed page numbers appear in the book; PDF pages are the physical pages of the 524-page scan (printed + 36). The textbook is not reproduced on this site.
| Section | Printed pages | PDF pages | Used for |
|---|---|---|---|
| Introduction: clown fish and anemone, the lesson question | 272, 273 | 308, 309 | Lesson question, the vocabulary list and the publisher's standards box; the acacia phenomenon is the chapter's own version of the textbook's opening image. |
| 1. Predators: carnivores, herbivores, omnivores, predators in ecosystems | 274, 275 | 310, 311 | The broad meaning of predator, the three predator types, the claim that predator types occur in nearly every ecosystem; slides 5-7, W2, W10. |
| 2. Interacting Populations Affect One Another: predators and prey, Isle Royale, Figure 2 | 276, 277 | 312, 313 | Predator-prey cause and effect, the lag and cycle pattern, the Isle Royale case; slides 8-12, Lab 1, W3, W4, W5, W7. |
| 3. Using Predators to Manage Ecosystems: Yellowstone wolves, criteria, constraints, radio tracking | 278, 279 | 314, 315 | The engineering story of monitoring a predator population; slides 24-25, Lab 3's criteria and constraints, W9. |
| 4. Mutually Beneficial Interactions: sea turtles and cleaner fish, lichens | 280 | 316 | Mutualism and linked population sizes; slides 14, 16 and 17, Lab 2 cards, accuracy note on lichens. |
| 5. Other Kinds of Interactions: commensalism, parasitism | 281 | 317 | Commensalism and parasitism definitions, parasite and host; slides 15, 16, 19 and 20 and the Lab 2 cards. |
| Key Science Concept: Interactions in Ecosystems (the plus-minus-zero spread) | 282 | 318 | The rating system for interactions; the grid diagram on slide 17, Lab 2's classification table, W2 and W8. |
| 6. Scientists Predict Interactions and the Lesson Summary | 283 | 319 | Using patterns of interaction to manage a population; the ripple-effect task, W6, W9 and the synthesis slide. |