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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 TypeModel assessment
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2 results

  • The report examines the transition of voluntary carbon markets into the Paris Agreement era, specifically assessing how to prevent 'double counting' where emission reductions are claimed by both voluntary offsets and national targets. It identifies three potentially viable models—contribution claims, NDC crediting, and non-NDC crediting—and recommends focusing on challenging mitigation options and countries with ambitious Nationally Determined Contributions (NDCs) to maximize climate impact.

    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: Report

    Regions: World
  • The Clean Air Task Force (CATF) submitted comments to the California Air Resources Board (ARB) arguing against reducing indirect land use change (ILUC) emissions estimates for biofuels. CATF contends that the GTAP model used by ARB undercounts emissions by ignoring water scarcity constraints, failing to distinguish between commercial and non-commercial forests, and using flawed yield improvement assumptions. Specifically, CATF cites research showing that accounting for irrigation constraints can increase land-based emissions by 27.5%. The document also highlights that climate-driven drought in the US Midwest may decelerate corn yields and that the current framework ignores nitrous oxide emissions from increased fertilizer use required to sustain yield growth.

    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: Statement

    Regions: California
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