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Record W4416734196

Land- use histories of planted tree cover caution international agenda promoting reforestation

2024· article· en· W4416734196 on OpenAlexaff
Sean Sloan, Bruno Locatelli, Matthew E. Fagan, Adia Bey, Patrick Meyfroidt

Bibliographic record

VenueAgritrop (Cirad) · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsReforestationVegetation (pathology)Cover (algebra)AfforestationTree (set theory)Land coverSatellite imageryDeforestation (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Multiple national and multi-national schemes promote extensive tropical reforestation under the auspices of climate-change mitigation and environmental remediation. The necessity of economic incentive and public participation in such schemes has meant that such reforestation has generally taken the form of commercial tree plantations as well as agroforestry. The history of such tropical planted tree cover does not bode well for the desired environmental outcomes of such schemes in the absence of strict oversight. Here, the land-use histories of 5000 1-ha plots of planted tree cover were reviewed via visual interpretations of satellite imagery over 1990-2015. Plots were sampled pantropically within the extent of current (2015) planted tree cover and represent all major tropical plantation regions. Visual interpretations allowed for unprecedented scrutiny of the frequency by which planted tree cover – including sparely-treed lands or temporarily-cleared lands otherwise dedicated to planted tree cover – replaced natural forest cover versus managed scrublands or similar, as well as the timing and nature of land-use transitions culminating in planted tree cover. A very small proportion of plots had planted tree cover continually since 1990. Most plots were initially natural forest. Land-use transitions from natural forest to planted tree cover rarely featured intermediate stages of managed lands (e.g., agriculture) and, where they did, managed land uses were typically fleeting. Overwhelmingly, therefore, planted tree cover has replaced forests of greater environmental value, and done so relatively directly. Landsat vegetation indices of the plots, observed at roughly monthly intervals over 1985-2020, affirm consequently how vegetation coverage declines, and soil exposure increases, for years or decades following transitions to planted tree cover. The logical policy response to prevent such historical trends from repeating is to strictly limit incentivized reforestation to verifiably long-cleared lands, invariably being grazing lands on the spatial and economic peripheries. The recent and arguably successfully implementation of such a scheme in Panama will be outlined. The practicality of such an administrative approach to incentivized 'forest' production, given ambitious reforestation targets, remains uncertain and ultimately recalls debates over the relative merit and simplicity of 'doing nothing' to allow natural reforestation instead.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.211
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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