Evidence map›Paper›PMID 40658863›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Indigenous critiques and recommendations for reclaiming nature-based solutions.

Melissa K Nelson, Graeme Reed

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Nature-based solutions for urban sustainability.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Melissa K NelsonSchool of Sustainability, Arizona State University, Tempe, AZ 85281.ORCID 0009-0006-4048-2229
Graeme ReedCentre for Indigenous Knowledges and Languages, York University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Indigenous peoples have long histories and diverse contemporary practices of caring for and enhancing biodiversity at different scales, in rural and urban contexts. As has been researched and documented by the Convention on Biological Diversity and others, Indigenous peoples globally only constitute 5% of the world's population and control and care for just 20% of the Earth's surface yet protect nearly 80% of the world's remaining biodiversity. Indigenous peoples have forms of biodiversity conservation that could be characterized as "nature-based solutions" (NbS), or would they be culture-based solutions? Given the extraordinary diversity of Indigenous peoples globally, there will never be a "one size fits all" solution. Yet there are general principles that have been articulated in the United Nations Declaration on the Rights of Indigenous Peoples that articulate global concepts of Indigenous Knowledge Systems (IKS) and Traditional Ecological Knowledge (TEK). IKS, TEK, and Native ways of knowing and caring for biodiversity can find both resonance and conflict with what is currently being called NbS. This article articulates Indigenous concerns and critiques of the conceptual and ontological framework of NbS, demonstrating that Indigenous Peoples' knowledge systems include a similar framework but extend it to include a distinctly

Indexed as

BiodiversityConservation of Natural ResourcesIndigenous PeoplesHumansbiocultural diversityepistemic justiceIndigenous knowledge systemsnature-based solutionssustainable societies

Identifiers

PMID40658863
PMCPMC12304967

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.