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intitle:
The document title intitle:"climate education"
ispublisher:
The publishing organization ispublisher:CAPE
insummary:
Summary and key findings insummary:"conflict of interest"
hasconcept:
Climate tags, frame/perspective and analysis type hasconcept:"Climate Justice"
geography:
Regions the document covers or discusses geography:Canada
doctype:
Document type doctype:report
lang:
Document language, as an ISO code lang:fr
cidid:
One record, by its directory id cidid:iisd-000297
Analysis TypeIntegrated modelling
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2 results

  • The document examines the food-energy-water nexus in Ethiopia's Lake Tana and Beles River basins, using the SEI nexus toolkit (WEAP-LEAP) to model three development scenarios. It finds that agricultural intensification and energy transitions are interdependent and potentially competitive, noting that Ethiopia has reached a "biomass ceiling" where demand for fuel, food, and fodder equals primary productivity. The analysis highlights trade-offs between hydropower production and maintaining critical water levels in Lake Tana, suggesting that a coordinated nexus approach is essential to meet the targets of the Growth and Transformation Plan (GTP) and the Climate Resilient Green Economy Strategy (CRGE) without compromising environmental sustainability.

    AI-generated

    This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.

    Document type: Policy brief

  • The Augures! project's 2023/2024 results evaluate the accuracy of seasonal weather forecasts and their ability to predict crop yields and economic impacts. Findings indicate that temperature anomalies are most accurately predicted in Southeastern Europe during summer months, while wheat and maize yields in Greece can be forecast 3-4 and 2 months in advance, respectively. The report emphasizes that extreme weather events cannot be predicted months in advance, necessitating investment in disaster preparedness, and calls for better farm management data to improve socio-economic impact predictions regarding poverty and food security.

    AI-generated

    This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.

    Document type: Executive summary

    Regions: EuropeGreece
Showing 1–2 of 2 documents