North American Environmental Outlook to 2030

This report summarizes recent research concerning the major forces and underlying trends that are likely to shape the environment of North America in 2030.

(Generated with the help of GPT-4)

Quick Facts
Report location: source
Language: English
Publisher: Commission for Environmental Cooperation
Authors: Stratos Inc., Dsr Sustainability Research
Time Horizon 2030
Geographic focus: North America
Page count: 84 pages

Methods

The research method used in the report involves reviewing and summarizing recent studies on environmental forces and trends, developing scenarios based on different assumptions about societal choices, and using quantitative modeling where possible. The report employs a Driver-Pressure-State-Impact-Response model to structure the presentation of information and relies on projections from studies such as the OECD Environmental Outlook to 2030 and UNEP's GEO4. It also considers population projections from the United Nations and energy outlooks from the International Energy Agency and the US Energy Information Administration.

(Generated with the help of GPT-4)

Key Insights

The North American Environmental Outlook to 2030 report examines the potential environmental changes in North America by 2030, considering socio-political developments, global environmental changes, and various drivers such as demographic patterns, economic activity, and technology. It uses a Driver-Pressure-State-Impact-Response model to analyze the effects of human activities on the environment and projects changes in energy use, water stress, agricultural production, forest products, marine fisheries, greenhouse gas emissions, air quality, and biodiversity. The report does not predict the future but explores possibilities based on current trends and stresses, highlighting areas for cooperative action and policy development. It acknowledges the uncertainties in predicting environmental futures and identifies gaps in knowledge that require further attention.

(Generated with the help of GPT-4)

Additional Viewpoints

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