Tiny forests, huge claims: The evidence gap behind the Miyawaki method for forest restoration

Abstract Evidence‐based methods for restoring ecosystems are essential for successful restoration practices, yet many approaches are adopted without rigorous evaluation. The Miyawaki method, originally developed in the early 1970s, has gained popularity for its purported ability to accelerate biodiversity recovery and ecosystem functioning compared to conventional methods. However, the empirical evidence supporting these claims remains unclear. We conducted a systematic review of scientific literature on the Miyawaki method. Of 51 documents examined, only 41% ( n = 21) provided quantitative assessments, and among these, just 33.3% ( n = 7) included a control and 14.3% ( n = 3) included replication. Reported outcomes offered weak to null evidence for most claimed benefits, including rapid growth, accelerated succession, self‐sustainability, cost efficiency, enhanced biodiversity, higher carbon sequestration and increased tree density. Synthesis and applications . To scale up restoration effectively, practitioners and policymakers should prioritize methods supported by robust empirical evidence rather than relying on untested claims. Our findings highlight the urgent need for rigorous experimental designs and transparent reporting to guide evidence‐based restoration strategies.

Authors

Institutions

Publication Details

Journal
Journal of Applied Ecology
Published
2025-12-07
DOI
https://doi.org/10.1111/1365-2664.70242
Citations
1
Primary Topic
Forest Ecology and Biodiversity Studies
Type
article
Field-Weighted Citation Impact
1.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Tiny forests, huge claims: The evidence gap behind the Miyawaki method for forest restoration

Dylan Craven, Leonardo Durán-Garate, Narkis S. Morales, Ignacio C. Fernández
1 citations
Journal of Applied Ecology
Forest Ecology and Biodiversity Studies
1.67
article

Tiny forests, huge claims: The evidence gap behind the Miyawaki method for forest restoration

Dylan Craven, Leonardo Durán-Garate, Narkis S. Morales, Ignacio C. Fernández
article en
1 citations

Abstract

Abstract Evidence‐based methods for restoring ecosystems are essential for successful restoration practices, yet many approaches are adopted without rigorous evaluation. The Miyawaki method, originally developed in the early 1970s, has gained popularity for its purported ability to accelerate biodiversity recovery and ecosystem functioning compared to conventional methods. However, the empirical evidence supporting these claims remains unclear. We conducted a systematic review of scientific literature on the Miyawaki method. Of 51 documents examined, only 41% ( n = 21) provided quantitative assessments, and among these, just 33.3% ( n = 7) included a control and 14.3% ( n = 3) included replication. Reported outcomes offered weak to null evidence for most claimed benefits, including rapid growth, accelerated succession, self‐sustainability, cost efficiency, enhanced biodiversity, higher carbon sequestration and increased tree density. Synthesis and applications . To scale up restoration effectively, practitioners and policymakers should prioritize methods supported by robust empirical evidence rather than relying on untested claims. Our findings highlight the urgent need for rigorous experimental designs and transparent reporting to guide evidence‐based restoration strategies.

Journal of Applied EcologyVol. 63(1)
Universidad Mayor (CL), Lincoln University (NZ), Adolfo Ibáñez University (CL), Data Observatory Foundation
Openalex Percentile: Top 12%
Forest Ecology and Biodiversity Studies
1.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Tiny forests, huge claims: The evidence gap behind the Miyawaki method for forest restoration — Dylan Craven, Leonardo Durán-Garate, et al. · Journal of Applied Ecology (2025) | TGRS Research Map | TGRS