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Metoder för att beskriva kumulativa effekter med avseende på biologisk mångfald och vägar

2004· article· sv· W2165730957 sur OpenAlexaboutno aff
Johan Rodéhn

Notice bibliographique

RevueEpsilon Archive for Student Projects (University of Southampton) · 2004
Typearticle
Languesv
DomaineEnvironmental Science
ThématiqueScience and Climate Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCumulative effects
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Cumulative effects are seldom treated in Swedish Environmental Impact Assessments (EIA). This report treats these questions and which procedures and methods that can be used when assessing cumulative effects in EIA. 
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\nThis report is a literature study where also a case study is a part. The case study shows how existing methods for cumulative effects can be used in practice. The report is concentrated on biology and treats cumulative effects on premises of biodiversity and roads.
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\nCumulative effects include both direct and indirect effects. Beyond the planned project also past, present and foreseeable future action shall be included. All impacts contributing to the effects on the environment shall be included, no matter who causes them. Besides cumulative effects from many different actions they can also be caused of many different environmental effects from one single project. One common procedure to describe cumulative effects is to make scoping, describe the affected environment and to establish the environmental consequences from cumulative effects. Methods that can be used in the procedure are questionnaires, interviews, panels, expert opinions, consultations, checklists, network- and system diagrams, modeling and trend analysis. These are often used in traditional EIA too. Methods that are more directly adapted to cumulative effects are overlay maps, carrying capacity, threshold analysis and ecosystem analysis. Which methods that should be used in the different steps of the procedure is better to decide during the process depending on the nature of the project, the natural resources and the effects. 
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\nIn the two Swedish road EIAs, that have been examined, cumulative effects are not described even if it is most probable that they will occur. This is in conflict with the EU-directive 97/11/EC. The EIA:s could also have contained one part with cumulative effects where natural paths and reduced biotop are concerned. The two Canadian cumulative EIAs, that have been examined, handle cumulative effects very detailed. They show that good routines about describing cumulative effects exist in Canada. 
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\nA case study has been made to test, in practice, the procedure and the methods that exist. It is located in an area east of the community Björklinge in Uppland. Five scenarios have been developed for the area. 1: A new E4 and a new road 700 are built. The other scenarios as 1 but: 2: the wildlife tunnel does not work, 3: one additional highway is built, 4: the moose population is wanted to increase, 5: moose hunting stopped. Methods that where used in the first step were expert opinion, interview (with hunter) and trend analysis. In the middle part trendanalysis and in the last part network diagram, carrying capacity and expert opinion (wildlife researcher) was used. Cumulative effects could be identified in scenario 3, 4 and 5. Scenario 1 is the most realistic one. 
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\nIn Sweden there are political goals saying that both traffic and environment should be promoted. To reach these goals it is important to describe effects in an entirety perspective. In other countries there are experiences of how to describe cumulative effects. This means that it is not necessary to develop new procedures or methods, the same can be used in Sweden too. 
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\nTo ensure good quality in the process of road planning, cumulative effects should be treated in both pilot study, road investigation and working plan. Only significant cumulative effects should be estimated. In such cases the county administration board should decide the project as a project that might give significant environmental effects, even if the project itself does not give significant effects.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,277
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,002
Communication savante0,0000,001
Science ouverte0,0020,002
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,033
Tête enseignante GPT0,274
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2004
Routes d'admission1
Résumé présentoui

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