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Enregistrement W7161766697 · doi:10.82308/9452

Local environmental stewardship and social-ecological bright spots in New York City

2020· dissertation· en· W7161766697 sur OpenAlexaboutno aff
Jacob Garrah

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineEnvironmental Science
ThématiqueUrban Green Space and Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésStewardship (theology)Urban ecosystemEnvironmental stewardshipSustainabilityCorporate governanceUrban planningVegetation (pathology)Urban forestry

Résumé

récupéré en direct d'OpenAlex

Due to a wide range of benefits, some of which are highly visible, urban vegetation, including tree canopy, lawns, gardens, vacant lots, and urban agriculture, has become an important focus for urban sustainability planning. As many major cities invest large amounts of public funds into programs to increase urban vegetation cover, city planners require scientific understanding to help them determine effective and equitable greening strategies. Because cities are complex social-ecological systems, with a range of ecological, socioeconomic, and technological factors driving vegetation dynamics, developing this understanding will require new, multi-disciplinary thinking to understand the many drivers of urban greening and the emergent interactions between them. In particular, in human dominated ecosystems such as cities, human visions, values, and the social relations that shape urban forests need to be incorporated into assessments of urban vegetation.In this thesis, I examine the impacts of local environmental stewardship groups, an important part of environmental governance in many major US cities, on vegetation change and management in New York City.In Chapter 1, I review the development of the field of urban ecology, outline the body of literature on environmental governance with a specific focus on local environmental stewardship, and discuss applications for urban vegetation modelling and management. In this review, I develop a framework that can be used to empirically assess the multiple drivers of urban vegetation change; integrate metrics of stewardship into urban vegetation modelling; and learn from examples of stewardship success to identify best practices for stewardship group organizing.In Chapter 2, I examine the relationship between the presence of neighborhood stewardship groups and vegetative change in New York City between 2008-2016. Using a combination of remote sensing methods and linear mixed effects models, I estimate the statistical effect of stewardship presence on neighborhood-scale ecological change across the entire city. I found that the number of stewardship groups present in a neighborhood has a significant, positive relationship with decade-scale vegetative change in New York City.In Chapter 3, I investigate bright spots of stewardship practice, neighborhoods with much better ecological outcomes than expected, by examining the enablers and barriers to capacity building that shape effective stewardship action. To amplify the impact of effective stewardship actions, we must first understand the capacities that enable them and how capacity building can be best supported. Using a mixed methods approach combining modelling, interviews, and qualitative analysis, I examine three assets that contribute to stewardship group capacity. I show that stewards believe that their most effective actions are nurtured through the human-to-human relationships built with volunteers, policymakers, and communities, and that they are hindered through lack of access to knowledge, agency, and funding.In Chapter 4, I investigate which characteristics of stewardship are generalizable and which are tied to specific local contexts through a comparison of the capacity building processes of stewardship groups in urban New York City and suburban Greater Montreal. Using qualitative content analysis, comparing results from interviews in both systems, I found that stewardship groups in each context resemble each other, but work within vastly different contexts and ultimately, via vastly different processes. I hypothesize that key differences between stewardship communities can be further understood by the mediation of demographic contexts present.Overall, I show that local environmental stewardship groups play an important role in urban vegetation change in New York City and highlight the importance of incorporating the many ways of understanding stewardship in managing complex social-ecological systems

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,607
Score d'incertitude au seuil0,790

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0020,001
Communication savante0,0020,001
Science ouverte0,0000,002
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,026
Tête enseignante GPT0,247
Écart entre enseignants0,222 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
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
Publié2020
Routes d'admission1
Résumé présentoui

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