Temperature and CO2 concentration in the atmosphere over the past 400,000 years

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This visualization graphically displays temperature and CO2 concentration in the atmosphere as derived from ice core data from 400,000 years ago to 1950. The data originates from UNEP GRID Arendal's graphic library of CO2 levels from Vostok ice core.

Ask questions that arise from careful observation of phenomena, models, or unexpected results, to clarify and/or seek additional information.

Ask questions to determine relationships between independent and dependent variables and relationships in models.

Ask questions that arise from careful observation of phenomena, or unexpected results, to clarify and/or seek additional information.

Ask questions to determine relationships, including quantitative relationships, between independent and dependent variables.

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.

The many dynamic and delicate feedbacks between the biosphere and other Earth systems cause a continual co-evolution of Earth’s surface and the life that exists on it.

Gradual atmospheric changes were due to plants and other organisms that captured carbon dioxide and released oxygen.

Changes in the atmosphere due to human activity have increased carbon dioxide concentrations and thus affect climate.

Empirical evidence is required to differentiate between cause and correlation and make claims about specific causes and effects.

Cause and effect relationships can be suggested and predicted for complex natural and human designed systems by examining what is known about smaller scale mechanisms within the system.

Cause and effect relationships may be used to predict phenomena in natural or designed systems.

Time, space, and energy phenomena can be observed at various scales using models to study systems that are too large or too small.

Empirical evidence is needed to identify patterns.

Using the concept of orders of magnitude allows one to understand how a model at one scale relates to a model at another scale.

Phenomena may have more than one cause, and some cause and effect relationships in systems can only be described using probability.

Graphs, charts, and images can be used to identify patterns in data.

Patterns in rates of change and other numerical relationships can provide information about natural systems.

Patterns can be used to identify cause-and-effect relationships.

Changes in systems may have various causes that may not have equal effects.

Temperature and CO2 concentration in the atmosphere over the past 400,000 years

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