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Operation Rewild: Modeling Apex Predator Restoration

Grade 9ScienceBiology15 days

"Operation Rewild" challenges 9th-grade biology students to act as ecological consultants designing a comprehensive reintroduction plan for a local apex predator. Using computational modeling and mathematical representations, students analyze carrying capacity, trophic cascades, and the impact of group behaviors on species survival. The experience culminates in a professional pitch that synthesizes biological data with the complex social and economic trade-offs inherent in modern wildlife conservation.

RewildingTrophic CascadesComputational ModelingCarrying CapacityApex PredatorsSocio-environmentalBiodiversity

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Inquiry Framework

Question Framework

Driving Question

The overarching question that guides the entire project.How can we use data-driven modeling to design a reintroduction plan for a local apex predator that restores ecological balance while navigating the complex social and environmental trade-offs of our modern world?

Essential Questions

Supporting questions that break down major concepts.

How does the presence of an apex predator alter the flow of energy and the cycling of matter within a food web?
What mathematical and computational factors determine the carrying capacity of a local ecosystem for a specific predator?
In what ways does the reintroduction of a keystone species promote biodiversity and long-term ecosystem stability?
How can data modeling help us predict how a changing environment might lead to a new ecosystem state?
How do the group behaviors and social structures of an apex predator influence its survival and its impact on the surrounding population?
How can we use evidence-based reasoning to address the social and ecological trade-offs of reintroducing a predator to a human-populated area?

Standards & Learning Goals

Learning Goals

By the end of this project, students will be able to:

Students will use computational or mathematical models to predict how the reintroduction of an apex predator affects the carrying capacity of a specific local ecosystem.
Students will construct a complex food web diagram to demonstrate how an apex predator influences the flow of energy and the cycling of matter across multiple trophic levels.
Students will evaluate and communicate how the presence of a keystone species contributes to biodiversity and the long-term stability of an ecosystem under changing environmental conditions.
Students will analyze the role of group behaviors (e.g., social structures, pack dynamics) in the survival of a species and its impact on the surrounding community.
Students will design a formal reintroduction plan that utilizes evidence-based reasoning to balance ecological restoration with social, economic, and human-safety trade-offs.

Next Generation Science Standards

HS-LS2-1

Primary

Use mathematical and/or computational representations to support explanations of factors that affect carrying capacity of ecosystems at different scales.Reason: This standard is central to the project as students will be using data modeling to determine the carrying capacity for both the predator and the prey within their plan.

HS-LS2-2

Primary

Use mathematical representations to support and revise explanations based on evidence about factors affecting biodiversity and populations in ecosystems of different scales.Reason: Students will use data to explain how the reintroduction of a predator affects population sizes across the food web and contributes to overall biodiversity.

HS-LS2-3

Supporting

Construct and revise an explanation based on evidence for the cycling of matter and flow of energy in aerobic and anaerobic conditions.Reason: While focused on cellular processes, in this project context, it supports the understanding of how energy transfers from the predator down through the ecosystem to the decomposers.

HS-LS2-6

Primary

Evaluate the claims, evidence, and reasoning that the complex interactions in ecosystems maintain relatively consistent numbers and types of organisms in stable conditions, but changing conditions may result in a new ecosystem.Reason: This aligns with the essential question regarding ecosystem stability and predicting how a changing environment leads to a new state after rewilding.

HS-LS2-8

Secondary

Evaluate the evidence for the role of group behavior on individual and species’ chances to survive and reproduce.Reason: This standard directly addresses the inquiry into how the social structures of apex predators influence their survival and ecological impact.

HS-ETS1-3

Supporting

Evaluate a solution to a complex real-world problem based on prioritized criteria and trade-offs that account for a range of constraints, including cost, safety, reliability, and aesthetics as well as possible social, cultural, and environmental impacts.Reason: This engineering standard perfectly supports the DQ's focus on navigating social and environmental trade-offs and human-populated area concerns.

Entry Events

Events that will be used to introduce the project to students

The Rewilding Grant: High-Stakes Consulting Competition

Students receive a formal 'Request for Proposal' from a fictional Global Rewilding Initiative, offering a multimillion-dollar grant to the team that can design the most stable reintroduction plan. They must compete as rival consulting firms, using historical data and population models to prove their predator won’t just survive, but will thrive without destroying the local economy.

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Portfolio Activities

These activities progressively build towards your learning goals, with each submission contributing to the student's final portfolio.

Activity 1

The Energy Architect's Blueprint

Before students can reintroduce a predator, they must understand the current 'blueprint' of their chosen ecosystem. In this activity, students act as ecological architects to map out the current flow of energy and the cycling of matter. They will identify the specific trophic levels of their local ecosystem and predict how the addition of an apex predator will create a 'top-down' cascade, affecting everything from primary producers to decomposers.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Identify a specific local ecosystem (e.g., temperate forest, local wetlands) and research the existing flora and fauna.

2. Construct a food web that includes at least 15 organisms, labeling producers, primary consumers, secondary consumers, and decomposers.

3. Apply the 10% rule of energy transfer to calculate the energy available at each level, starting with 1,000,000 kcal of sunlight.

4. Annotate the map to show the cycling of matter, specifically illustrating how the apex predator’s presence will eventually feed the soil through decomposition.

5. Write a 250-word 'Impact Hypothesis' explaining how the predator will influence the flow of energy in this specific web.

Final Product

What students will submit as the final product of the activityA detailed, color-coded Ecosystem Energy & Matter Map (digital or physical) featuring a pre- and post-predator reintroduction comparison.

Alignment

How this activity aligns with the learning objectives & standardsThis activity aligns with HS-LS2-3 by requiring students to construct an explanation based on evidence for the cycling of matter and the flow of energy. It specifically focuses on how energy is lost at each trophic level and how carbon/matter is recycled through decomposers after the apex predator's kill.

Activity 2

The Carrying Capacity Calculator

Consultants must prove the land can support the predator. In this activity, students use historical data and population growth formulas (like the logistic growth model) to determine the carrying capacity (K) of their ecosystem for both the apex predator and its primary prey. They will identify limiting factors such as territory size, water access, and prey density to ensure the reintroduction is scientifically feasible.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Gather historical population data for the primary prey species in the target area over the last 10 years.

2. Identify at least three limiting factors (e.g., nitrogen availability in soil for producers, square mileage for predator territory, annual rainfall).

3. Use a spreadsheet tool or graphing calculator to model the population growth of the prey if the predator is NOT introduced.

4. Calculate the maximum number of predators the territory can support based on 'kill rate' data and available prey biomass.

5. Generate a comparative graph showing the 'S-curve' (logistic growth) of the ecosystem with and without the predator.

Final Product

What students will submit as the final product of the activityA 'Carrying Capacity Technical Memo' including population growth graphs and a data table of limiting factors.

Alignment

How this activity aligns with the learning objectives & standardsThis activity aligns with HS-LS2-1. Students use mathematical representations (population growth equations and carrying capacity formulas) to support explanations of factors (limiting factors, resource availability) that affect carrying capacity at the scale of their chosen region.

Activity 3

The Resilience Report Card

Ecosystems are dynamic, not static. In this activity, students analyze how the reintroduction of a keystone predator promotes biodiversity and creates a more resilient system. They will simulate environmental 'perturbations' (like a drought or a disease outbreak) to see if their redesigned ecosystem can return to equilibrium or if it shifts to a 'new state.'

Steps

Here is some basic scaffolding to help students complete the activity.

1. Research the concept of a 'Trophic Cascade' (e.g., the wolves in Yellowstone) and identify three specific species that will benefit indirectly from the predator's return.

2. Calculate a 'Biodiversity Score' for the current ecosystem vs. the projected rewilded ecosystem.

3. Select a 'Perturbation Event' (e.g., a 2-year drought) and use their model to predict how the ecosystem will react.

4. Evaluate the claim: 'The introduction of this predator will prevent ecosystem collapse during climate shifts.' Support or refute this with evidence from your model.

5. Create a visual 'Resilience Timeline' showing the transition from the current state to a stable 'New Rewilded State.'

Final Product

What students will submit as the final product of the activityAn 'Ecosystem Resilience Report Card' that evaluates the system’s health using a biodiversity index (like Simpson’s or Shannon’s).

Alignment

How this activity aligns with the learning objectives & standardsAligns with HS-LS2-2 and HS-LS2-6. Students use data to explain how biodiversity changes with the introduction of a keystone species and evaluate how these complex interactions maintain stability or result in a new ecosystem state.

Activity 4

Pack Dynamics & Survival Strategy

Predators don't survive in a vacuum; their social structures are key to their success. Students will investigate the group behaviors of their chosen apex predator—whether it’s a wolf pack, a pride of lions, or a pod of orcas. They will analyze how these social dynamics increase the probability of survival for individuals and the species as a whole.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Research the social structure of your chosen predator (e.g., solitary vs. pack, matriarchal vs. patriarchal).

2. Identify two specific group behaviors (e.g., cooperative hunting, altruistic feeding, or group defense) used by the species.

3. Analyze data comparing the hunting success rate of individuals vs. the group.

4. Explain how these behaviors protect the most vulnerable members (the young or injured), thereby ensuring the survival of the gene pool.

5. Create an infographic that links these social behaviors to the overall carrying capacity calculated in Activity 2.

Final Product

What students will submit as the final product of the activityA 'Social Strategy Infographic' detailing how group dynamics directly impact the predator's reproductive success and survival rates.

Alignment

How this activity aligns with the learning objectives & standardsAligns with HS-LS2-8. Students evaluate evidence for the role of group behavior (e.g., pack hunting, social hierarchy, communal care) on the individual and species’ chances to survive and reproduce.

Activity 5

The Rewilding Master Plan: Final Pitch

In the final phase, students move beyond pure science to address the human element. They must synthesize their biological data with social and economic constraints. How will local farmers react? What are the safety concerns? Students will design a mitigation plan that balances the needs of the predator with the needs of the human community, proving their 'firm' can handle the complexity of the real world.

Steps

Here is some basic scaffolding to help students complete the activity.

1. Identify three major stakeholders (e.g., local ranchers, tourism boards, indigenous communities) and list their likely concerns.

2. Develop a 'Mitigation Strategy' for each concern (e.g., government compensation for livestock loss, eco-tourism revenue sharing).

3. Conduct a cost-benefit analysis comparing the price of reintroduction and management vs. the economic value of a healthy ecosystem.

4. Assemble all previous portfolio pieces (Energy Map, Population Graphs, Resilience Reports) into one cohesive, professional document.

5. Prepare a 5-minute 'Elevator Pitch' that justifies why your predator reintroduction is the most stable and socially responsible choice.

Final Product

What students will submit as the final product of the activityA 'Master Rewilding Proposal & Pitch Deck' presented to the 'Global Rewilding Initiative' grant committee.

Alignment

How this activity aligns with the learning objectives & standardsAligns with HS-ETS1-3. Students evaluate their reintroduction solution based on prioritized criteria and trade-offs, accounting for social, cultural, and environmental impacts alongside scientific data.

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Rubric & Reflection

Portfolio Rubric

Grading criteria for assessing the overall project portfolio

Operation: Rewilding - Master Performance Rubric

Category 1

Ecosystem Dynamics & Energy Flow

Assesses the student's ability to visualize and calculate the movement of energy and nutrients through a specific ecosystem before and after predator reintroduction.

Criterion 1

Energy and Matter Mapping (HS-LS2-3)

The ability to construct a complex food web and accurately model the flow of energy and the cycling of matter using the 10% rule and decomposition pathways.

Exemplary

4 Points

Constructs a highly sophisticated food web exceeding 15 organisms with intricate, accurate connections. Calculations for the 10% rule are flawless and applied innovatively. Annotations for matter cycling (specifically decomposition) provide a comprehensive, expert-level explanation of top-down effects. Impact Hypothesis offers profound insights into energy transformations.

Proficient

3 Points

Constructs a thorough food web with at least 15 organisms and accurate energy flow. 10% rule calculations are correct across all levels. Annotations clearly show matter cycling through decomposition. Impact Hypothesis explains how the predator influences energy flow with clear evidence.

Developing

2 Points

Constructs a food web with some missing links or fewer than 15 organisms. 10% rule calculations contain minor errors or are applied inconsistently. Annotations for matter cycling are present but lack detail. Impact Hypothesis is basic or partially aligned with the map.

Beginning

1 Points

Food web is incomplete or contains significant errors in energy flow. 10% rule calculations are missing or incorrect. Matter cycling is not addressed or is misunderstood. Impact Hypothesis is missing or lacks scientific reasoning.

Category 2

Quantitative Population Analysis

Assesses the student's proficiency in applying mathematical formulas and data analysis to determine the ecological feasibility of the reintroduction plan.

Criterion 1

Computational Modeling of Carrying Capacity (HS-LS2-1)

The use of mathematical and computational tools to calculate carrying capacity (K) and predict population growth based on limiting factors and resource availability.

Exemplary

4 Points

Demonstrates advanced mastery of computational modeling using sophisticated spreadsheet functions. Identifies nuanced limiting factors beyond the required scope. Graphs provide a highly accurate, comparative visualization of logistic growth with deep predictive analysis of 'kill rates' and biomass. Technical memo is of professional quality.

Proficient

3 Points

Effectively uses mathematical representations to calculate carrying capacity. Identifies at least three relevant limiting factors. Generates clear, accurate comparative graphs showing logistic growth (S-curves) with and without the predator. Technical memo provides a clear explanation of data.

Developing

2 Points

Uses basic math to calculate carrying capacity but may struggle with complex formulas. Identifies fewer than three limiting factors or selects factors with limited relevance. Comparative graphs are present but contain minor labeling or scaling errors. Technical memo is partially complete.

Beginning

1 Points

Fails to provide accurate mathematical representations of population growth. Limiting factors are not identified or are misunderstood. Graphs are missing, inaccurate, or fail to show comparative states. Technical memo lacks data-driven evidence.

Category 3

Ecosystem Stability & Biodiversity

Assesses the student's understanding of complex interactions that maintain ecosystem stability and the role of biodiversity in resilience.

Criterion 1

Biodiversity and Resilience Evaluation (HS-LS2-2, HS-LS2-6)

The ability to evaluate how a keystone species affects biodiversity and how an ecosystem responds to environmental perturbations (disturbances).

Exemplary

4 Points

Provides a sophisticated analysis of trophic cascades using complex biodiversity indices (e.g., Shannon). Resilience Timeline shows a profound understanding of ecosystem shifts. Evaluation of claims regarding climate shifts is supported by robust, model-based evidence and exceptional critical thinking.

Proficient

3 Points

Accurately calculates a Biodiversity Score and identifies indirect benefits of a keystone species. Predicts the ecosystem's reaction to a perturbation event using model evidence. Evaluates claims about ecosystem stability and state changes with clear, logical reasoning.

Developing

2 Points

Calculates a basic biodiversity score but lacks depth in explaining the 'Trophic Cascade.' Prediction of perturbation effects is vague or only partially supported by the model. Evaluation of ecosystem stability lacks specific evidence.

Beginning

1 Points

Fails to calculate biodiversity or explain the role of a keystone species. Perturbation simulation is missing or shows a misunderstanding of equilibrium. Evaluation of stability claims is unsupported or incorrect.

Category 4

Behavioral Ecology

Assesses the student's ability to analyze the evolutionary and ecological advantages of social structures in apex predators.

Criterion 1

Group Behavior and Survival Analysis (HS-LS2-8)

Evaluation of evidence regarding how social structures and group behaviors (e.g., pack dynamics) influence individual and species survival rates.

Exemplary

4 Points

Evaluates social structures with exceptional depth, linking behavioral data (e.g., hunting success rates) to specific reproductive advantages and gene pool survival. Infographic provides a sophisticated synthesis of social behavior and its direct impact on the previously calculated carrying capacity.

Proficient

3 Points

Thoroughly identifies and explains two or more group behaviors. Analyzes data to show how these behaviors increase survival and reproduction chances. Infographic clearly links social dynamics to the predator's ecological success.

Developing

2 Points

Identifies group behaviors but the link to survival or reproduction is superficial. Analysis of hunting success or individual vs. group data is incomplete. Infographic is present but lacks a clear connection to the larger ecosystem data.

Beginning

1 Points

Fails to identify specific group behaviors or provides inaccurate information. No evidence-based link is made between behavior and survival. Infographic is missing or irrelevant.

Category 5

Socio-Environmental Synthesis

Assesses the student's ability to solve a complex real-world problem by balancing ecological goals with human constraints and ethical trade-offs.

Criterion 1

Stakeholder Integration and Strategic Design (HS-ETS1-3)

Synthesis of scientific data with social, cultural, and economic constraints to design a viable, ethical reintroduction plan.

Exemplary

4 Points

Designs an innovative Master Plan that anticipates complex stakeholder needs with nuanced mitigation strategies. Cost-benefit analysis is comprehensive and professionally presented. Pitch is highly persuasive, demonstrating mastery of both biological science and social diplomacy. Proposal is a flawless synthesis of all project components.

Proficient

3 Points

Designs a comprehensive plan that identifies three stakeholders and provides realistic mitigation strategies. Conducts a logical cost-benefit analysis. Final proposal and pitch deck are professional and successfully integrate all previous scientific data with social considerations.

Developing

2 Points

Identifies stakeholders but mitigation strategies are simplistic or impractical. Cost-benefit analysis lacks detail or ignores major economic/social factors. Final proposal is missing components or lacks a cohesive narrative connecting science to society.

Beginning

1 Points

Fails to identify stakeholder concerns or provide mitigation strategies. Plan focuses only on science while ignoring social/economic trade-offs. Pitch is unorganized or lacks supporting evidence from previous activities.

Reflection Prompts

End-of-project reflection questions to get students to think about their learning

Question 1

How has your perspective on the role of apex predators in an ecosystem shifted from the start of "Operation: Rewilding" to your final pitch?

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Question 2

On a scale of 1-5, how confident do you feel using mathematical and computational models to justify environmental or scientific policy decisions?

Scale

Required

Question 3

Which trade-off was the most difficult to navigate when designing your final 'Rewilding Master Plan'?

Multiple choice

Required

Options

Ecological stability vs. livestock safety and rancher livelihoods

The high economic cost of management vs. the long-term biodiversity gain

Predator survival/territory needs vs. local human recreation and safety

Scientific data-driven decisions vs. public perception and fear of predators

Question 4

How did your data modeling demonstrate that the presence of a keystone predator helps an ecosystem maintain stability during a 'perturbation event' (like a drought or disease)?

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Required

Question 5

In what ways did your analysis of your predator's group behaviors (e.g., pack dynamics or cooperative hunting) change your understanding of its chances for a successful reintroduction?

Text

Required