Evidence map›Paper›PMID 34784008›Full record

ReviewAmbio2022

Community-based responses for tackling environmental and socio-economic change and impacts in mountain social-ecological systems.

Himangana Gupta, Maiko Nishi, Alexandros Gasparatos

Abstract readReview
In one paragraph

Review in Ambio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

Himangana GuptaThe University of Tokyo and United Nations University Institute for the Advanced Study of Sustainability, 5 Chome-53-70 Jingumae, Tokyo, 150-8925, Japan. himangana@gmail.com.ORCID http://orcid.org/0000-0002-3802-5639
Maiko NishiUnited Nations University Institute for the Advanced Study of Sustainability, 5 Chome-53-70 Jingumae, Tokyo, 150-8925, Japan.
Alexandros GasparatosInstitute for Future Initiatives (IFI), The University of Tokyo, Administration Bureau Building 2, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8654, Japan.

Funding

Japan Society for the Promotion of Science JP 19F19795
6 · The paper itself

Abstract

Mountain social-ecological systems (SES) are often rich in biological and cultural diversity with sustained human-nature interactions. Many mountain SES are experiencing rapid environmental and socio-economic change, demanding viable action for conservation to sustain ecosystem services for the benefit of their communities. This paper is a synthesis of 71 case studies of mountain-specific SES, submitted to the International Partnership for the Satoyama Initiative (IPSI) that identifies major drivers of change, associated impacts, and response strategies. We find that overexploitation, land use change, demographic change, and the regional economy are the most prevalent drivers of change in the IPSI mountain SES, leading to negative consequences for biodiversity, livelihoods, indigenous knowledge, and culture. To counter these challenges in the study SES, stakeholders from the public, private, and civil society sectors have been implementing diverse legal, behavioral, cognitive, technological, and economic response strategies, often with strong community participation. We outline the lessons learned from the IPSI case studies to show how community-based approaches can contribute meaningfully to the sustainable management of mountain landscapes.

Indexed as

Conservation of Natural ResourcesEcosystemBiodiversityCommunity ParticipationHumansSocioeconomic FactorsBiodiversity conservationCommunity engagementSocial–ecological systemsSustainabilityTraditional and local knowledge (TLK)

Identifiers

PMID34784008
PMCPMC8931162

What OpenQuestion holds

Textmetadata
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.