Evidence map›Paper›PMID 36373913›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2023

A systems approach framework for evaluating tree restoration interventions for social and ecological outcomes in rural tropical landscapes.

Marion Pfeifer, Susannah M Sallu, Andrew R Marshall, Stephen Rushton, Eleanor Moore, Deo D Shirima, Josephine Smit, Esther Kioko, Lauren Barnes, Catherine Waite and 6 more

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2023. 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. A systems approach framework for evaluating tree restoration interventions for social and ecological outcomes in rural tropical landscapes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  3. Fifteen essential science advances needed for effective restoration of the world's forest landscapes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  4. Realizing the potential of restoration science.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    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

16 authors.

Marion PfeiferModelling, Evidence and Policy RG, SNES, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.ORCID 0000-0002-6775-3141
Susannah M SalluSchool of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK.
Andrew R MarshallDepartment of Environment and Geography, University of York, York YO10 5NG, UK.ORCID 0000-0002-3261-7326
Stephen RushtonModelling, Evidence and Policy RG, SNES, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Eleanor MooreModelling, Evidence and Policy RG, SNES, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Deo D ShirimaDepartment of Ecosystem and Conservation, Sokoine University of Agriculture, PO Box 3010, Morogoro, Tanzania.
Josephine SmitFaculty of Natural Sciences, University of Stirling, Stirling FK9 4LA, UK.
Esther KiokoEntomology, National Museums Kenya, PO Box 40658-00100, Nairobi, Kenya.
Lauren BarnesModelling, Evidence and Policy RG, SNES, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Catherine WaiteForest Research Institute, University of the Sunshine Coast, Sunshine Coast, QLD 4556, Australia.
Leander RaesIUCN Centre for Economy and Finance, Washington DC, USA.
Laura BraunholtzModelling, Evidence and Policy RG, SNES, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.
Pieter I OlivierDepartment of Zoology and Entomology, University of Pretoria, Pretoria 0028, South Africa.
Evodius IshengomaDepartment of Ecosystem and Conservation, Sokoine University of Agriculture, PO Box 3010, Morogoro, Tanzania.
Sam BowersCollege of Science and Engineering, University of Edinburgh, Edinburgh EH8 9YL, UK.
Sergio Guerreiro-MilheirasModelling, Evidence and Policy RG, SNES, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/S014586/1
6 · The paper itself

Abstract

The science guiding design and evaluation of restoration interventions in tropical landscapes is dominated by ecological processes and outcomes and lacks indicators and methods that integrate human wellbeing into the restoration process. We apply a new systems approach framework for tree restoration in forest-agricultural landscapes to show how this shortcoming can be addressed. Demonstrating 'proof of concept', we tested statistical models underlying the framework pathways with data collected from a case study in Tanzania. Local community perceptions of nature's values were not affected by levels of self-reported wildlife-induced crop damage. But mapped predictions from the systems approach under a tree restoration scenario suggested differential outcomes for biodiversity indicators and altered spatial patterns of crop damage risk, expected to jeopardize human wellbeing. The predictions map anticipated trade-offs in costs and benefits of restoration scenarios, which we have started to explore with stakeholders to identify restoration opportunities that consider local knowledge, value systems and human wellbeing. We suggest that the framework be applied to other landscapes to identify commonalities and differences in forest landscape restoration outcomes under varying governance and land use systems. This should form a foundation for evidence-based implementation of the global drive for forest landscape restoration, at local scales. This article is part of the theme issue 'Understanding forest landscape restoration: reinforcing scientific foundations for the UN Decade on Ecosystem Restoration'.

Indexed as

EcosystemTreesBiodiversityConservation of Natural ResourcesForestsHumansSystems Analysiscoupled human and natural systemsecosystem disservicesecosystem servicesforest landscape restorationpredictive modellingsystems modelling

Identifiers

PMID36373913
PMCPMC9661959

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.