
UNIT 1: Ecosystems & Biodiversity
How does the increase in the size of the human population impact biodiversity and how can we reduce those impacts?
About
Unit 1 Contents
A. Unit Resources
B. Unit Information
C. Standards & Practices
D. Task Sets
1.0 - Introduction
1.1 - Change Over Time
1.2 - Seasonal Rounds and Ecosystems
1.3 - Ecosystem Health
1.4 - Population Growth
1.5 - Community Interactions
1.6 - Human Impact
1.7 - Habitat Corridors
1.8 - Assessment
E. Summative Assessment Summary
F. Science & Engineering Look-fors
G. Other Unit Resources
H. Biodiversity Lab Notes & Suggestion
Unit Outcome
Explain how ecosystems respond to disturbances and interactions.
Anchoring Phenomenon
Urban biodiversity is declining locally and globally.
Essential Question
How does the increase in the size of the human population impact biodiversity and how can we reduce those impacts?
Unit 1 Planner
Unit 1 Planner with links to Spanish Resources
The Unit 1 Planner Google Doc can be accessed using the link above or you can scroll down to see the entire Unit Plan by scrolling down.
How is the Unit Structured?
Unit 1 contains 7 task sets which will take approximately 15 90-minute class periods to complete. Essential Questions and Phenomenon for the seven learning tasks of this unit are found in the Unit 1 Overview
Unit 1 Webinar
Unit 1 Webinar Slide Deck
An Oregon High School Science Tribal History/ Shared History lesson can be found in this unit.
Unit Resources
Open Access Unit 1
This Google folder (English) houses all documents for this unit that have been updated.
This Google folder (Spanish) houses all documents for this unit that have been updated.
Student Interactive Notebook
Document Format: Google Link
Slide Format: Google Link
Career Connected Learning
Vocabulary List
Note: this list may not be in order that the terms will be presented in the tasks below. Teachers may wish to have students build their own vocabulary list in the word wall section of their Interactive Student Notebook.
Rubric
Note: This is a restricted document. You must request access. Restricted-access materials are for teachers only. To request access to the restricted folder, please visit the Restricted Access page and fill out the Google form
Tests, Quizzes and Keys (English)
Tests, Quizzes and Keys (Spanish)
These are restricted documents. Restricted-access materials are for teachers only. You must request access. To request access to the restricted folder, please fill out this linked Google form
Unit Information
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The following are example options to extend parts of the unit to deepen students’ understanding of science ideas:
Task Set 3 - Compare class data to Forest Park data (45 minutes)
Task Set 7 - Supplemental reading for students: Nature in Neighborhoods and Oregon Conservation Strategy.
Optional reading from NYT about human impact
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Task Set 0 - Biodiversity Pre-Assessment
Task Set 1 - Students make observations about maps and data, make comparison statements, and generate questions.
Task Set 2 - Students complete Cornell Notes throughout the lesson (video and presentation) to organize information on biodiversity.
Task Set 3 - Students work to complete the Biodiversity inquiry project and can be assessed on the following::
Individual: Introduction
Group: Methods (can be behavior or summative assessment, teacher’s choice).
Presentation of Data
Individual: Graph, Results, Discussion
Task Set 4 - There are multiple opportunities for assessment in this task set.
Formative: Practice Problems
Summative: Lab Conclusion
Formative: Cornell Notes on demographics article
Optional: Population Growth Summary Paragraph OR Infographic
Summative: Human Population Growth Mini-Test
Optional Summative: Human Population Growth C-E-R
Task Set 5 - Students make claims supported by evidence in case study.
Formative: HW choice CC Case Studies
Students generate graphs and CER from predator-prey simulation
GoFormative covering Yellowstone and Predator-Prey
Summative: Community Interactions / Food Webs Mini-Tests
Task Set 6 - Students reflect on conservation strategies and environmental justice by reading, listening, and doing their own research.
Task Set 7 - Students make a design proposal for a solution to increase the population of a specific animal in a specific urban area.
Summative - Deliver test as mini-tests throughout unit or a single end of unit test.
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HS-LS2-2: Plan and conduct an investigation that uses mathematical representations to support explanations about factors affecting biodiversity and populations in ecosystems of different scales
Biodiversity Mini-Test (TS3)
Biodiversity Inquiry Lab Report (TS3)
Population Growth Mini-Test (TS4) (or unit test AST 1.1 section)
Human Population Growth Lab Report (TS4)
Human Population Growth CER (TS4)
HS-LS2-7: Design, evaluate, and refine a solution for reducing the impacts of human activities on the environment and biodiversity.
Human Population Growth Mini-Test (TS4)
Habitat Corridor Engineering Project (TS6)
Unit Test (AST 1.2 Section)
Standards & Practices
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This unit builds toward the following NGSS performance Expectations (PE’s). Links to evidence statements are provided:
HS-LS2-1: Use mathematical and/or computational representations to support explanations of factors that affect carrying capacity of ecosystems at different scales. [Clarification Statement: Emphasis is on quantitative analysis and comparison of the relationships among interdependent factors including boundaries, resources, climate, and competition. Examples of mathematical comparisons could include graphs, charts, histograms, and population changes gathered from simulations or historical data sets.] [Assessment Boundary: Assessment does not include deriving mathematical equations to make comparisons.]
HS-LS2-2: Use mathematical representations to support and revise explanations based on evidence about factors affecting biodiversity and populations in ecosystems of different scales. [Clarification Statement: Examples of mathematical representations include finding the average, determining trends, and using graphical comparisons of multiple sets of data.] [Assessment Boundary: Assessment is limited to provided data.]
HS-LS2-6: 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. [Clarification Statement: Examples of changes in ecosystem conditions could include modest biological or physical changes, such as moderate hunting or a seasonal flood; and extreme changes, such as volcanic eruption or sea level rise.]
HS-LS2-7: Design, evaluate, and refine a solution for reducing the impacts of human activities on the environment and biodiversity.* [Clarification Statement: Examples of human activities can include urbanization, building dams, and dissemination of invasive species.]
HS-ESS3-3: Create a computational simulation to illustrate the relationships among management of natural resources, the sustainability of human populations, and biodiversity. [Clarification Statement: Examples of factors that affect the management of natural resources include costs of resource extraction and waste management, per-capita consumption, and the development of new technologies. Examples of factors that affect human sustainability include agricultural efficiency, levels of conservation, and urban planning.] [Assessment Boundary: Assessment for computational simulations is limited to using provided multi-parameter programs or constructing simplified spreadsheet calculations.]
HS-ESS3-4: Evaluate or refine a technological solution that reduces impacts of human activities on natural systems.* [Clarification Statement: Examples of data on the impacts of human activities could include the quantities and types of pollutants released, changes to biomass and species diversity, or areal changes in land surface use (such as for urban development, agriculture and livestock, or surface mining). Examples for limiting future impacts could range from local efforts (such as reducing, reusing, and recycling resources) to large-scale geoengineering design solutions (such as altering global temperatures by making large changes to the atmosphere or ocean).]
HS-ETS1-1: Analyze a major global challenge to specify qualitative and quantitative criteria and constraints for solutions that account for societal needs and wants
HS-ETS1-2:Design a solution to a complex real-world problem by breaking it down into smaller, more manageable problems that can be solved through engineering
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This unit contains these Life Science Grade 9-12 DCI elements.
LS2.A: Interdependent Relationships in Ecosystems
Ecosystems have carrying capacities, which are limits to the numbers of organisms and populations they can support. These limits result from such factors as the availability of living and nonliving resources and from such challenges such as predation, competition, and disease. Organisms would have the capacity to produce populations of great size were it not for the fact that environments and resources are finite. This fundamental tension affects the abundance (number of individuals) of species in any given ecosystem.
LS2.C: Ecosystem Dynamics, Functioning, and Resilience
A complex set of interactions within an ecosystem can keep its numbers and types of organisms relatively constant over long periods of time under stable conditions. If a modest biological or physical disturbance to an ecosystem occurs, it may return to its more or less original status (i.e., the ecosystem is resilient), as opposed to becoming a very different ecosystem. Extreme fluctuations in conditions or the size of any population, however, can challenge the functioning of ecosystems in terms of resources and habitat availability.
Moreover, anthropogenic changes (induced by human activity) in the environment — including habitat destruction, pollution, introduction of invasive species, overexploitation, and climate change — can disrupt an ecosystem and threaten the survival of some species.
LS4.D: Biodiversity and Humans
Biodiversity is increased by the formation of new species (speciation) and decreased by the loss of species (extinction). (secondary)
Humans depend on the living world for the resources and other benefits provided by biodiversity. But human activity is also having adverse impacts on biodiversity through overpopulation, overexploitation, habitat destruction, pollution, introduction of invasive species, and climate change. Thus sustaining biodiversity so that ecosystem functioning and productivity are maintained is essential to supporting and enhancing life on Earth. Sustaining biodiversity also aids humanity by preserving landscapes of recreational or inspirational value. (secondary) (Note: This Disciplinary Core Idea is also addressed by HSLS4-6.)
ETS1.B: Developing Possible Solutions
When evaluating solutions it is important to take into account a range of constraints including cost, safety, reliability and aesthetics and to consider social, cultural and environmental impacts. (secondary)
ESS3.C: Human Impacts on Earth Systems
Human Impacts on Earth Systems Scientists and engineers can make major contributions by developing technologies that produce less pollution and waste and that preclude ecosystem degradation.
The sustainability of human societies and the biodiversity that supports them requires responsible management of natural resources.
ETS1.A: Defining and Delimiting Engineering Problems
Criteria and constraints also include satisfying any requirements set by society, such as taking issues of risk mitigation into account, and they should be quantified to the extent possible and stated in such a way that one can tell if a given design meets them.
Humanity faces major global challenges today, such as the need for supplies of clean water and food or for energy sources that minimize pollution, which can be addressed through engineering. These global challenges also may have manifestations in local communities.
ETS1.B: Developing Possible Solutions
When evaluating solutions, it is important to take into account a range of constraints, including cost, safety, reliability, and aesthetics, and to consider social, cultural, and environmental impacts. (secondary)
ETS1.C: Optimizing the Design Solution
Criteria may need to be broken down into simpler ones that can be approached systematically, and decisions about the priority of certain criteria over others (tradeoffs) may be needed.
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This unit contains these Science and Engineering Practices
Planning and Carrying Out Investigations
Planning and carrying out investigations in 9-12 builds on K-8 experiences and progresses to include investigations that provide evidence for and test conceptual, mathematical, physical, and empirical models.
Plan and conduct an investigation individually and collaboratively to produce data to serve as the basis for evidence, and in the design: decide on types, how much, and accuracy of data needed to produce reliable measurements and consider limitations on the precision of the data (e.g., number of trials, cost, risk, time), and refine the design accordingly.
Look fors in this unit:
Work as an individual or a team to produce data as evidence to revise models, support explanations or test solutions to problems. Students should consider confounding variables and evaluate design to ensure controls.
Critically analyze the design of an experiment to decide the accuracy of data needed to produce reliable measurements and limitations of the data ( number of trials, cost, risk, time etc.)
Select appropriate tools to collect, record, analyze and evaluate data.
Make directional hypotheses about dependent and independent variable relationships.
Using Mathematics and Computational Thinking
Mathematical and computational thinking in 9-12 builds on K-8 experiences and progresses to using algebraic thinking and analysis; a range of linear and nonlinear functions including trigonometric functions, exponentials and logarithms; and computational tools for statistical analysis to analyze, represent, and model data. Simple computational simulations are created and used based on mathematical models of basic assumptions.
Use mathematical representations of phenomena or design solutions to support and revise explanations.
Look fors in this unit:
Create and/or revise a computational model or simulation of a phenomenon, designed device, process or system to see if a model “makes sense” by comparing the outcomes with what is known about the real world
Use mathematical, computational, and/or algorithmic representation of phenomena or design solutions to describe and/or support claims and/or explanations.
Apply techniques of algebra and functions to represent and solve scientific and engineering problems. For example, apply ratios, rates, percentages and unit conversions to problems involving quantities with derived or compound units.
Constructing Explanations and Designing Solutions
Constructing explanations and designing solutions in 9–12 builds on K–8 experiences and progresses to explanations and designs that are supported by multiple and independent student-generated sources of evidence consistent with scientific ideas, principles, and theories.
Design, evaluate, and refine a solution to a complex real-world problem, based on scientific knowledge, student-generated sources of evidence, prioritized criteria, and tradeoff considerations.
Look fors in this unit:
Make a claim regarding the relationship between independent and dependent variables.
Construct and revise an explanation based on reliable and varied evidence to describe the natural world and its laws.
Apply scientific ideas, principles and/or evidence to explain phenomena and solve design problems, taking into account possible unanticipated effects.
Apply scientific reasoning to link evidence to claims and assess the extent to which the reasoning and data support the conclusion.
Design, evaluate and/or refine a solution to a complex real-world problem, based on scientific knowledge, evidence, criteria and tradeoff considerations.
Engaging in Argument from Evidence
Engaging in argument from evidence in 9– 12 builds on K–8 experiences and progresses to using appropriate and sufficient evidence and scientific reasoning to defend and critique claims and explanations about the natural and designed world(s). Arguments may also come from current scientific or historical episodes in science.
Evaluate the claims, evidence, and reasoning behind currently accepted explanations or solutions to determine the merits of arguments.
Look fors in this unit:
Compare and evaluate competing arguments or design solutions in light of currently accepted explanations, new evidence, limitations, constraints, and ethical issues to determine the merits of argument
Respectfully provide and/or receive critiques on scientific arguments by probing reasoning and evidence, challenging ideas and conclusions, responding thoughtfully to diverse perspectives, and determining additional information required to resolve contradictions.
Construct, use, and/or present oral and written claims and arguments or counter-arguments based on data and evidence about the natural world or effectiveness of a design solution that reflects scientific knowledge and student-generated evidence.
Evaluate competing design solutions to a real-world problem based on scientific ideas and principles, empirical evidence, and/or logical arguments regarding relevant factors (economic, societal, environmental, ethical considerations).
Asking Questions and Defining Problems Asking questions and defining problems in 9– 12 builds on K–8 experiences and progresses to formulating, refining, and evaluating empirically testable questions and design problems using models and simulations.
Analyze complex real-world problems by specifying criteria and constraints for successful solutions.
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This unit contains these Crosscutting Concepts
Scale, Proportion, and Quantity
Using the concept of orders of magnitude allows one to understand how a model at one scale relates to a model at another scale.
The significance of a phenomenon is dependent on the scale, proportion, and quantity at which it occurs.
Stability and Change
Much of science deals with constructing explanations of how things change and how they remain stable.
Feedback (negative or positive) can stabilize or destabilize a system.
Change and rates of change can be quantified and modeled over very short or very long periods of time. Some system changes are irreversible
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Which elements of NOS are developed in the unit?
Scientific Knowledge is Open to Revision in Light of New Evidence
Most scientific knowledge is quite durable, but is, in principle, subject to change based on new evidence and/or reinterpretation of existing evidence.
Scientific argumentation is a mode of logical discourse used to clarify the strength of relationships between ideas and evidence that may result in revision of an explanation.
Influence of Science, Engineering, and Technology on Society and the Natural World
Engineers continuously modify these technological systems by applying scientific knowledge and engineering design practices to increase benefits while decreasing costs and risks.
Modern civilization depends on major technological systems.
New technologies can have deep impacts on society and the environment, including some that were not anticipated.
Science is a Human Endeavor
Science is a result of human endeavors, imagination, and creativity.
Summative Assessment Summary
Supporting Target & NGSS Performance Expectations & Possible Summative Assessments
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HS-LS2-2 (AST 1.1): Plan and conduct an investigation that uses mathematical representations to support explanations about factors affecting biodiversity and populations in ecosystems of different scales
Possible Summative Assessments:
Biodiversity Mini-Test (TS3)
Biodiversity Inquiry Lab Report (TS3)
Population Growth Mini-Test (TS4) (or unit test AST 1.1 section)
Human Population Growth Lab Report (TS4)
Human Population Growth CER (TS4)
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HS-LS2-7 (AST 1.2): Design, evaluate, and refine a solution for reducing the impacts of human activities on the environment and biodiversity.
Possible Summative Assessments:
Human Population Growth Mini-Test (TS4)
Habitat Corridor Engineering Project (TS6)
Unit Test (AST 1.2 Section)
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HS-LS2-1 (AST 1.4): Use mathematical and/or computational representations to support explanations of factors that affect carrying capacity of ecosystems at different scales
Possible Summative Assessments:
Predator-Prey Simulation Activity (TS5)
Wolves of Yellowstone - Defining the Trophic Cascade (TS5)
Community Interactions Mini-Test (TS5) (or unit test AST 1.4 section)
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HS-LS2-6 (AST 1.5): 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
Possible Summative Assessments:
Food Webs Mini-Test (or unit test AST 1.5 section) (TS5)
Predator-Prey Simulation Activity (TS5)
Wolves of Yellowstone - Defining the Trophic Cascade (TS5)
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Uses the inquiry process as a controlled and data-driven means to investigate scientific questions.
Possible Summative Assessments:
Biodiversity Inquiry Lab Report
Human Population Growth Lab Report
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Uses the engineering design process as an iterative and productive means of problem solving.
Possible Summative Assessments:
Habitat Corridor Engineering Lab
Science and Engineering Practice Look Fors
Practice & Grades 9-12 Science and Engineering Practice “Look Fors”
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Work as an individual or a team to produce data as evidence to revise models, support explanations or test solutions to problems. Students should consider confounding variables and evaluate design to ensure controls.
Critically analyze the design of an experiment to decide the accuracy of data needed to produce reliable measurements and limitations of the data ( number of trials, cost, risk, time etc.)
Select appropriate tools to collect, record, analyze and evaluate data.
Make directional hypotheses about dependent and independent variable relationships.
-
Create and/or revise a computational model or simulation of a phenomenon, designed device, process or system to see if a model “makes sense” by comparing the outcomes with what is known about the real world
Use mathematical, computational, and/or algorithmic representation of phenomena or design solutions to describe and/or support claims and/or explanations.
Apply techniques of algebra and functions to represent and solve scientific and engineering problems. For example, apply ratios, rates, percentages and unit conversions to problems involving quantities with derived or compound units.
-
Make a claim regarding the relationship between independent and dependent variables.
Construct and revise an explanation based on reliable and varied evidence to describe the natural world and its laws.
Apply scientific ideas, principles and/or evidence to explain phenomena and solve design problems, taking into account possible unanticipated effects.
Apply scientific reasoning to link evidence to claims and assess the extent to which the reasoning and data support the conclusion.
Design, evaluate and/or refine a solution to a complex real-world problem, based on scientific knowledge, evidence, criteria and tradeoff considerations.
-
Compare and evaluate competing arguments or design solutions in light of currently accepted explanations, new evidence, limitations, constraints, and ethical issues to determine the merits of arguments.
Respectfully provide and/or receive critiques on scientific arguments by probing reasoning and evidence, challenging ideas and conclusions, responding thoughtfully to diverse perspectives, and determining additional information required to resolve contradictions.
Construct, use, and/or present oral and written claims and arguments or counter-arguments based on data and evidence about the natural world or effectiveness of a design solution that reflects scientific knowledge and student-generated evidence.
Evaluate competing design solutions to a real-world problem based on scientific ideas and principles, empirical evidence, and/or logical arguments regarding relevant factors (economic, societal, environmental, ethical considerations).
Other Unit Resources
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Island biogeography theory: MacArthur and Wilson describe a phenomenon that illustrates that distance from mainland and island size determine number of species that will be present on a given island. Other scientists have validated this in “sky islands” in the desert southwest and urban “habitat islands” in cities. We will be working on this throughout the unit, first by quantifying biodiversity at a park and then by engineering possible solutions to isolation of urban habitat islands.
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Planet Earth II: Cities: This episode does a good job of explaining the challenge increasing urbanization poses to non-human populations and also shows possible engineering solutions for increasing urban biodiversity. Show in chunks (see time stamps above).
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Arthropod Key: Built by Anne McHugh, this hyperdoc allows students to work through a user-friendly dichotomous key to introduce invertebrate identification. Note that the spider key has three parts and goes to family, while the others are identified to class or order.
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Ecosystem Videos by Cal Academy of Sciences: excellent, research based short videos explaining and exploring a variety of ecosystem and biodiversity related topics.
Biodiversity Lab Notes and Suggestions
For the biodiversity lab data collection, you have a few options for the field data collection. You could walk to a close by park or natural area and have each student group collect three samples. This would work by a team of four splitting into pairs (each pair has a sifter, pillowcase, and bucket). Each pair collects a sample from one of the three conditions. Examples being 5m , 10m and 15m from the path or high, medium or low light. Each pair collects samples by sifting for 20 minutes. They then take their samples back to the classroom and store their tied off pillowcase with a large sheet of white paper as a label. The next class day they will sort the macroinvertebrates from their sample and store in ethanol vials. This is followed by identification and data collection and analysis. See videos for more detailed explanations of all procedures involved.