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Restoration of Terrestrial Communities

2016· other· en· W2139688520 on OpenAlexaff
Scott D. Wilson

Bibliographic record

VenueEncyclopedia of Life Sciences · 2016
Typeother
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsRestoration ecologyEcosystem servicesVegetation (pathology)BiodiversitySpecies richnessEcosystemEnvironmental resource managementEcologyGeographyEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Abstract Restoration aims to return ecosystems that have been altered by humans to states similar to unaltered systems in terms of dominant vegetation, energy flows, water capture and nutrient cycling. General themes in restoration include the degree of alteration, setting goals for the restoration, incorporating evaluation of progress, and methods for ameliorating soil and returning vegetation. A major challenge in many systems is creating vegetation with desirable species composition and richness, as opposed to low‐diversity stands of exotic species. Socioeconomic factors may have overriding influences on restoration strategies. Opportunities for advancement include replication of restorations among years to incorporate variation in weather, and reporting of more outcomes, including negative results. Restoration is a field ripe for research, both in the synthesis of applied knowledge and as a system for experimentally addressing a broad variety of ecological topics. Key Concepts Restoration aims to return ecosystems that have been altered by humans to states similar to unaltered systems, typically enhancing both biodiversity and ecosystem services. Goals for restoration should be specified during the planning phase. The goal for restoration is primarily a socioeconomic question, dependent on community wishes and available resources. Economic benefits from restoration are tangible but limited, so other benefits must be clear. Restoration using exotic species is common, because of increased demand for ecosystem services and increased ubiquity of exotic species. Exotic species can rapidly produce novel stable communities. Consequently, the endpoint of one restoration (an exotic, economically productive community) may be the starting point of another restoration to eliminate these species and restore native communities and enhance diversity. Mine spoils may require chemical amelioration to reduce acidity or heavy metals. Soil organic matter often needs to be increased on severely altered sites, but in other cases needs to be decreased. Propagules of desired species usually need to be added, as seeds, transplants, turves or hay. Continuing evaluation and management is often required to aid succession in moving towards the goals.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.027
Threshold uncertainty score0.980

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.000

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 head0.024
GPT teacher head0.258
Teacher spread0.234 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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