Evaluating Cut Flower Sustainability: An Environmental and Social Life Cycle Framework for Rose Production in North America
Notice bibliographique
Résumé
The global floriculture industry has expanded significantly, driven by increasing consumer demand and facilitated by international trade agreements. This growth, particularly in the cut flower sector, has shifted production from North America to equatorial regions like Colombia and Ecuador, where favorable climatic conditions and lower production costs prevail. This transition has raised concerns about environmental sustainability and social justice within the industry. This research project explored some of these issues by calculating the carbon footprint of roses grown in North America and comparing the results with case study data from Ecuador. The primary research questions were: 1) What are the environmental and social impacts of rose production in North America? 2) Will the carbon footprint of greenhouse grown roses in California be less than those grown in more northerly climates in North America? 3) Will the carbon footprint of greenhouse grown roses in North America be higher than those grown in Ecuador, based on case study data from South America? 4) Will the environmental and social life cycle data collected for North American farms, when compared with information gathered on South American rose operations, support the commonly held notion that local is more sustainable? 5) Is it possible to create a set of principles that can incorporate environmental and social metrics in a way that offers industry representatives and consumers a means of choosing a sustainable rose? To calculate the carbon footprint of roses grown in North America, I distributed questionnaires to four rose farms that agreed to participate in this study: two from California, one from Minnesota, and one from Ontario, Canada. Data were analyzed according to the recent product footprint category rules for cut flowers established by researchers in the EU. Similar calculations were made based on a data set of a rose farm in Ecuador. The North American results were compared with the calculations from the Ecuadorian data set. Social metrics obtained for the North American farms were also compared with data on minimum and living wages for Ecuador, providing a simple means of examining potential social sustainability for rose workers. The results from this study represent the first known carbon footprint calculations for cut flowers grown in North America. The primary data obtained from North American farms substantiates previous research in other countries that heat and electricity in temperate climates is a significant contributor to CO2e emissions. Heat and electricity accounted for between 68%-99% of kgCO2e emissions per stem across all four North American farms for the cultivation phase of production. By comparison, only 22% of the overall kgCO2e emissions per stem were associate with cultivation for roses grown in Ecuador. Based on environmental and social analyses, this study concludes by advocating for a simple approach to estimating carbon footprint and basic social sustainability by gathering data on environmental and social ‘hotspots’ that can provide meaningful insights into sustainability that should be achievable by flower farmers.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».