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Record W4399474264 · doi:10.1016/j.biocon.2024.110671

A framework for ecological restoration cost accounting across context and scale

2024· article· en· W4399474264 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBiological Conservation · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsnot available
FundersAustralian Research Council
KeywordsScale (ratio)Context (archaeology)Environmental resource managementEcologyGeographyAccountingEnvironmental scienceBusinessBiologyCartographyArchaeology

Abstract

fetched live from OpenAlex

Restoration programs that can deliver implementation outcomes across large-scales are critical to achieving global conservation targets such as Target 2 of the Kunming-Montreal Global Biodiversity Framework. Yet, limited funding poses a strong barrier to the achievement of these ambitious goals, suggesting the adoption of emerging technologies capable of delivering cost-effective solutions to restoration at scale may be required. To date, there has been limited reporting of restoration implementation costs at scales that are meaningful for decision making, hindering the capacity for evidence-based comparisons of existing and emerging restoration methods. Here, we demonstrate the application of a detailed framework that addresses the shortcomings of previous frameworks by matching the costs of conservation actions to their outcomes across multiple scales. We estimate the financial costs of two planting methods from the perspective of a restoration practitioner comparing an established method (tubestock planting) to an emerging method (drone seeding: seed pelleting and delivery via drones), across five spatial scales (1, 10, 100, 500, and 1000 ha). Using data from a hypothetical case-study, we show that both methods exhibit economies of scale (decrease in the cost per hectare to action with increase in scale); however, the economies of scale were greater for drone seeding. Our framework allows for transparent cost accounting of project implementation to guide practitioners and policy makers when budgeting and reporting costs for future projects. Users of this framework can also explore if and how context influences the costs of restoration to maximise the delivery of cost-efficient restoration at scale. • Financial costs pose a barrier to the achievement of global targets for restoration. • Uptake of emerging technologies may be required to undertake restoration at scale. • Case-based comparisons of costs across are required though rarely reported. • We exhibit and test a framework to track restoration costs across context and scale. • We use this to compare costs of an existing to emerging method across five scales. • We show that emerging technologies can cost-effectively deliver restoration at scale.

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.

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 score0.369
Threshold uncertainty score0.531

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 head0.060
GPT teacher head0.312
Teacher spread0.252 · 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