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Ch. 49 - An Introduction to Ecology
Freeman - Biological Science 8th Edition
Freeman8th EditionBiological ScienceISBN: 9780138276263Not the one you use?Change textbook
Chapter 49, Problem 4

What is one expected consequence of global climate change?
a. Average rainfall will increase.
b. Average rainfall will decrease.
c. Variability in rainfall will increase.
d. We cannot make predictions about future rainfall.

Verified step by step guidance
1
Understand the context of global climate change: It refers to long-term changes in temperature, precipitation, and other atmospheric conditions on Earth.
Consider the impact of climate change on weather patterns: Climate change can lead to more extreme and unpredictable weather events.
Analyze the options given: Each option suggests a different consequence of climate change on rainfall patterns.
Evaluate the scientific consensus: Research indicates that climate change is likely to increase variability in weather patterns, including rainfall.
Conclude based on evidence: Increased variability in rainfall is a widely expected consequence of global climate change, making option c a plausible answer.

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Global Climate Change

Global climate change refers to long-term alterations in temperature, precipitation, wind patterns, and other elements of the Earth's climate system. It is primarily driven by human activities, such as burning fossil fuels and deforestation, which increase greenhouse gas concentrations in the atmosphere, leading to global warming and associated climatic shifts.
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Rainfall Patterns

Rainfall patterns describe the distribution and variability of precipitation over time and space. Climate change can alter these patterns, leading to changes in the frequency, intensity, and distribution of rainfall. This can result in more extreme weather events, such as droughts and floods, affecting ecosystems, agriculture, and water resources.
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Climate Models and Predictions

Climate models are complex computer simulations that use mathematical formulas to predict future climate conditions based on current data and trends. These models help scientists understand potential changes in climate variables, such as temperature and precipitation, under different scenarios. While they provide valuable insights, predictions can vary due to uncertainties in data and model limitations.
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