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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 TypeValue transfer
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2 results

  • The report argues that expanding global networks of no-take marine protected areas (MPAs) is economically advisable, with benefits significantly outweighing costs across all analyzed scenarios. Using a cost-benefit analysis for the period 2015-2050, the study finds that expanding coverage to 30% can generate net benefits between US$490 billion and US$920 billion. The highest returns are associated with 'Protect to Preserve' scenarios that target high-biodiversity areas with low human impact. While MPAs enhance biodiversity, fisheries productivity through spillover, and carbon sequestration in mangroves, the report notes significant data gaps regarding the quantification of various ecosystem services and the specific impacts on high-seas and polar regions.

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    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 research evaluates the economic impact of forest area changes from 2000 to 2050, focusing on provisioning, regulating, and cultural services. Using a combination of market data, meta-analysis, and value transfer, the study finds that while managed forests may increase provisioning revenues, the loss of natural forests—particularly in tropical and boreal biomes—leads to significant welfare losses, primarily driven by the loss of carbon sequestration capacity. Brazil is projected to suffer the highest economic loss, potentially reaching 6% of its 2050 GDP.

    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: Research paper

    Regions: World
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