Evidence map›Paper›PMID 28223529›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Social-ecological network analysis of scale mismatches in estuary watershed restoration.

Jesse S Sayles, Jacopo A Baggio

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Methods to estimate marine functional connectivity: A primer.Ecological applications : a publication of the Ecological Society of America · 2026
    Review
  2. Article
  3. Article
  4. Landscape Ecological Risk Assessment Based on Land Use Change in the Yellow River Basin of Shaanxi, China.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Article
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  10. Mapping legal authority for terrestrial conservation corridors along streams.Conservation biology : the journal of the Society for Conservation Biology · 2020
    Article
  11. Article
  12. Using Socioenvironmental Report Cards as a Tool for Transdisciplinary Collaboration.Integrated environmental assessment and management · 2020
    Article
  13. Article
  14. Article
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  16. Article
  17. An approach to incorporating inferred connectivity of adult movement into marine protected area design with limited data.Ecological applications : a publication of the Ecological Society of America · 2019
    Article
  18. Article
  19. The Environmental Performance of Participatory and Collaborative Governance: A Framework of Causal Mechanisms.Policy studies journal: the journal of the Policy Studies Organization · 2018
    Article
  20. 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

2 authors.

Jesse S SaylesDepartment of Geography, McGill University, Montreal, QC, Canada H3A 0B9; jesse.sayles@mail.mcgill.ca.
Jacopo A BaggioDepartment of Environment and Society, Utah State University, Logan, UT 84322.ORCID 0000-0002-9616-4143

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resource management boundaries seldom align with environmental systems, which can lead to social and ecological problems. Mapping and analyzing how resource management organizations in different areas collaborate can provide vital information to help overcome such misalignment. Few quantitative approaches exist, however, to analyze social collaborations alongside environmental patterns, especially among local and regional organizations (i.e., in multilevel governance settings). This paper develops and applies such an approach using social-ecological network analysis (SENA), which considers relationships among and between social and ecological units. The framework and methods are shown using an estuary restoration case from Puget Sound, United States. Collaboration patterns and quality are analyzed among local and regional organizations working in hydrologically connected areas. These patterns are correlated with restoration practitioners' assessments of the productivity of their collaborations to inform network theories for natural resource governance. The SENA is also combined with existing ecological data to jointly consider social and ecological restoration concerns. Results show potentially problematic areas in nearshore environments, where collaboration networks measured by density (percentage of possible network connections) and productivity are weakest. Many areas also have high centralization (a few nodes hold the network together), making network cohesion dependent on key organizations. Although centralization and productivity are inversely related, no clear relationship between density and productivity is observed. This research can help practitioners to identify where governance capacity needs strengthening and jointly consider social and ecological concerns. It advances SENA by developing a multilevel approach to assess social-ecological (or social-environmental) misalignments, also known as scale mismatches.

Indexed as

Environmental MonitoringEstuariesSocial EnvironmentConservation of Natural ResourcesGovernmentHumansNatural ResourcesUnited Statesenvironmental governanceenvironmental restoration planningmultilevel governancesocial–ecological fitsocial–ecological networks

Identifiers

PMID28223529
PMCPMC5347588

What OpenQuestion holds

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Registered trials

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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.