Scientific Paper

Assessment and good practices identification among NAPs of developing countries

Diana Reckien; Stelios Grafakos; Marija Bockarjova; Indriany Lionggo; Filomena Pietrapertosa; Monica Salvia; Giulia Viero; Shivenes Shammugam; Ella Nelly Benoit; Attila Buzási; Lorenzo Chelleri; Alexandros Flamos; Nikos Kleanthis; Minal Pathak; Ayyoob Sharifi; Vassilis Stavrakas; Nicola Tollin · 2026-09-02

What it covers

A review of 60 national adaptation plans submitted by developing countries evaluates plan coverage and consistency and identifies gaps in monitoring, participation and financing.

Who it helps

Intended audience has not been documented.

Limitations

Source-specific limitations have not been reviewed. Inclusion and topic labels do not establish effectiveness or reliability.

Show citation

Diana Reckien; Stelios Grafakos; Marija Bockarjova; Indriany Lionggo; Filomena Pietrapertosa; Monica Salvia; Giulia Viero; Shivenes Shammugam; Ella Nelly Benoit; Attila Buzási; Lorenzo Chelleri; Alexandros Flamos; Nikos Kleanthis; Minal Pathak; Ayyoob Sharifi; Vassilis Stavrakas; Nicola Tollin. 2026-09-02. Assessment and good practices identification among NAPs of developing countries. https://www.nature.com/articles/s44168-026-00419-6 (AI & Environment Resource Hub; record atlas-ca1875363694; collection snapshot 2026-10-04).

Classification and context

Included in the original Scientific Paper collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.

pathway

topic

lifecycle

orientation

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Available source metadata

Author or creator
Diana Reckien; Stelios Grafakos; Marija Bockarjova; Indriany Lionggo; Filomena Pietrapertosa; Monica Salvia; Giulia Viero; Shivenes Shammugam; Ella Nelly Benoit; Attila Buzási; Lorenzo Chelleri; Alexandros Flamos; Nikos Kleanthis; Minal Pathak; Ayyoob Sharifi; Vassilis Stavrakas; Nicola Tollin
Publisher
npj Climate Action
Publication date
2026-09-02
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source access
Reachable at last check
Metadata confidence
Metadata unconfirmed
Last verified
Not yet verified
Snapshot import
2026-09-23
Legacy domain
Climate & Weather
Legacy subdomain
National Adaptation Plans
journal
npj Climate Action
source evidence
https://www.nature.com/articles/s44168-026-00419-6
metadata reviewed at
2026-09-22

Provenance and review

Source access
Reachable at last check
Metadata confidence
Metadata unconfirmed
Editorial relevance
Relevance has not been separately reviewed.
Evidence quality
Evidence quality has not been separately assessed.

Source sheet: Scientific Paper · Row 526 · Original ID: paper-522.

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A paper listing is not a quality assessment. Peer review and findings require source-level confirmation. Source link reachable · checked 2026-09-28. Metadata not yet corroborated. The import date is not the original date added.

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Related through shared environmental topics

Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.

Shared topics: Governance and society; Climate and greenhouse gases

Scientific Paper · 2026-09-15

A Strategic Roadmap for Sustainable Data Center Deployment

This article proposes a five-step state policy roadmap for data center development: conduct environmental and community impact studies, use the findings in siting decisions, reassess incentives, require large facilities to pair with off-grid clean energy and storage, and mandate community-benefit sharing. It focuses on protecting grid reliability, electricity affordability, environmental integrity, and host communities.

Source: SSRNAutomated access restricted · Metadata unconfirmed

Shared topics: Research tools and geospatial methods; Climate and greenhouse gases

Tool

CLEER Dashboard

Sustainable AI Group's public dashboard compares modeled AI inference energy and CO₂-eq by model, provider and session, including data center overhead assumptions. Water estimates and API are marked coming soon.

Source: ToolNot checked · Metadata unconfirmed

Shared topics: Research tools and geospatial methods; Climate and greenhouse gases

Organization · North America

Coolant Climate

Founded at Harvard and MIT, Coolant is building forestry MRV that is as accurate as LiDAR at the price of hand measurement. We use only aerial drone footage to model reforestation sites with cutting edge computer vision techniques and calculate individual tree carbon stock. In recent studies with the Ocean Foundation, we've reached over 95% accuracy of LiDAR for their mangrove restoration sites.

Source: OrganizationExcluded from automated checks · Metadata unconfirmed

Shared topics: Research tools and geospatial methods; Climate and greenhouse gases