Carbon Cost Of Urban Gardens And Commercial Farms | Why There's No Superbloom This Year
Some food has a larger carbon footprint when grown in urban settings than on commercial farms, while for other foods the reverse is true. Also, what’s the difference between wildflowers blooming in the desert each spring, and the rare phenomenon of a “superbloom”?
The Carbon Cost Of Urban Gardens And Commercial FarmsIf you have a home garden, you may be expecting that the food you grow has less of an environmental impact than food grown on large commercial farms. But new research throws some cold water on that idea. A study led by scientists at the University of Michigan examined 73 small urban gardening sites across the U.S., the U.K., France, Poland, and Germany, and found that food grown in urban settings produced six times more carbon emissions per serving than commercially grown food. The bulk of these emissions (63%) came from the building materials used for items like raised garden beds.
However, there are some foods that have a smaller carbon footprint when grown at home. They include crops like tomatoes and asparagus, which sometimes need to be flown long distances or require power-hungry greenhouses when grown commercially.
Jason Hawes, PhD candidate in the School for Environment and Sustainability at University of Michigan and lead author of the study which was published in Nature Cities, breaks down the results of the research with Ira. They talk about how urban farmers have responded to the findings, the positive social benefits of community gardens, and what home gardeners can do to lessen their carbon footprint.
Why There Won’t Be A Superbloom This YearIn California, wildflowers are in bloom.
Last year, there was a superbloom. Though there’s no official criteria, a superbloom is when there is an above average number of wildflowers blooming, mostly in desert regions of California and Arizona. It’s an explosion of color in regions that typically have sparse vegetation.
About a month ago, a few news articles hinted that maybe, just maybe, we were in for another superbloom year. Turns out we’re not.
Who decides when there’s a superbloom anyway? And why did this year turn out not to be a superbloom after all?
To answer those questions and provide an update on the state of California’s wildflowers, SciFri producer Kathleen Davis talks with Dr. Naomi Fraga, director of conservation programs at the California Botanic Garden, and research assistant professor at Claremont Graduate University.
Transcripts for each segment will be available after the show airs on sciencefriday.com.
Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that’s keeping you up at night? Call us: 877-472-4374
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.