Evidence map›Paper›PMID 37207120›Full record

ArticleEnvironmental politics2023

Digitalizing forest landscape restoration: a social and political analysis of emerging technological practices.

Danilo Urzedo, Michelle Westerlaken, Jennifer Gabrys

Abstract read
In one paragraph

Article in Environmental politics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
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

3 authors.

Danilo UrzedoDepartment of Sociology, University of Cambridge, UK.ORCID https://orcid.org/0000-0003-4256-515X
Michelle WesterlakenDepartment of Sociology, University of Cambridge, UK.ORCID https://orcid.org/0000-0001-8352-3736
Jennifer GabrysDepartment of Sociology, University of Cambridge, UK.ORCID https://orcid.org/0000-0001-5545-2459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital technologies are increasingly influencing forest landscape restoration practices worldwide. We investigate how digital platforms specifically reconfigure restoration practices, resources, and policy across scales. By analyzing digital restoration platforms, we identify four drivers of technological developments, including: scientific expertise to optimize decisions; capacity building through digital networks; digital tree-planting markets to operate supply chains; and community participation to foster co-creation. Our analysis shows how digital developments transform restoration practices by producing techniques, remaking networks, creating markets, and reorganizing participation. These transformations often involve power imbalances regarding expertise, finance, and politics across the Global North and Global South. However, the distributed qualities of digital systems can also create alternative ways of undertaking restoration actions. We propose that digital developments for restoration should not be understood as neutral tools but rather as power-laden processes that can create, perpetuate, or counteract social and environmental inequalities.

Indexed as

digital technologiesForest landscape restorationforestsparticipationsocial inequality

Identifiers

PMID37207120
PMCPMC10191160

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.