MétaCan
Menu
Back to cohort
Record W7070444781

Performance standards and biodiversity no net loss commitments: An assessment of status and implementation gaps in Norway

2024· report· en· W7070444781 on OpenAlexaboutno aff

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2024
Typereport
Languageen
FieldMaterials Science
TopicClay minerals and soil interactions
Canadian institutionsnot available
Fundersnot available
KeywordsBiodiversityAgency (philosophy)Renewable energyNorwegianWhite paperHierarchyWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Rusch, G. M., Tingstad, L., Sutcliffe, T. E. & Lein, U. 2024. Performance standards and biodiversity no net loss commitments: An assessment of status and implementation gaps in Norway. NINA Report 2390. Norwegian Institute for Nature Research. \nThe importance of protecting biodiversity has been repeatedly highlighted in recent assessments and new international obligations related to the Kunming-Montreal Agreement, of which Norway is signatory. At the same time, new infrastructure development, including from the energy sector, increasingly puts pressure on Norwegian nature. An allocation of areas to renewable energy infrastructure implies a trade-off with other land-uses, hereunder nature conservation. These conflicting objectives places great demands on the processes for renewable energy development projects, and the private sector has an important role in making effective protection of nature an integral part of all planning and development of renewable energy. \nRecently, considerable emphasis has been placed on goals of no net loss (NNL) of biodiversity, with the aim to revert trends of biodiversity and ecosystem functions loss. Norway’s commitment to biodiversity conservation is anchored e.g., in the Global Biodiversity Framework (the Kunming-Montreal Agreement) (GBF), the white paper “Nature for life” (“Natur for livet”) and the Nature Diversity Act. In addition, the Norwegian Environment Agency have recently reviewed the national guidelines of impact assessments (M-1941). \nFor the goals of NNL to be credible, the implementation should follow a systematic approach to quantify and manage impact. For this, the mitigation hierarchy is a widely applied tool to guide decisions about biodiversity in line with a goal of NNL. Hydro is one of many companies whose goal is to mitigate biodiversity loss through a NNL policy. To this aim, standards to help the private sector manage biodiversity impacts have been developed, among others, the IFC performance standard on “Biodiversity Conservation and Sustainable Management of Living Natural Resources” (PS 6), which have been specifically tailored toward the private sector operating in infrastructure development projects. \nIn this report, we first present an overview of concepts embedded in the mitigation hierarchy. In this context we review the concepts used to assess impacts on biodiversity, and mitigation and compensation measures, including the concepts of biodiversity no net loss and net gains. The principles of the mitigation hierarchy involve taking nature into account in all stages of a development process, from strategic and detailed planning to actual project implementation. At all stages of the project plan, it must first be assessed whether – and how – negative impacts on nature can be avoided, for example through alternative locations or by making changes in the project design This refers especially to biodiversity features of high conservation value in need of special protection. The next step is to minimize the negative impact by limiting the damage and repairing where possible within the project area. Finally, ecological compensation must be considered for remaining negative impacts, if NNL objectives are to be met. Ecological compensation means compensating for irreversible damage to nature caused by development projects by restoring, creating new habitats, or designating protected areas elsewhere than where the impact on nature takes place.\nWe then present how the mitigation hierarchy and NNL concepts have been operationalized in the IFC PS6 standard, and compare the criteria used with those in the recently updated guidelines for impact assessment on biodiversity produced by the Norwegian Environmental Agency (web-based report M-1914 2023). We also present an overview of the authorities with responsibility for nature management in Norway and the legislation that supports their areas of action. Specifically, we describe the roles of the national and local authorities making decisions on nature and the energy sector. \nWe further present an overview of methods and data sets that can be used to evaluate impacts, and which could support the implementation of no net loss policies in Norway. We highlight both the status of development, availability, as well as NNL policy implementation gaps. \nIt is critical that the knowledge base is up-to-date, and that high-quality ecological data are available for the particular area of interest for renewable energy development projects. Although Norwegian management authorities are working towards improving habitat mapping and indicators of ecological condition at project relevant scales, data at this level of resolution with national coverage will be in most cases incomplete. We refer to the guidelines in the M-1941 which indicate data sources and the methods to be used to collect missing data.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.286
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.396
Teacher spread0.345 · 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 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

Explore more

Same venueDuo Research Archive (University of Oslo)Same topicClay minerals and soil interactionsFrench-language works237,207