Improving diet quality while simultaneously maintaining planetary health is of critical interest globally. Despite the shared motivation, advancement remains slow, and the research community continues to operate in silos, focusing on certain pairings (diet–climate), or with a discipline-specific lens of a sustainable diet, rather than examining their totality. This review aims to summarize the literature on adherence to a priori defined dietary patterns in consideration of diet quality, metabolic risk factors for noncommunicable diseases (NCDs), environmental impacts, and affordability.
The environmental burden of food consumption is high in affluent countries like Sweden, and the global food system is accountable for between 21 and 37% of the total anthropogenic global greenhouse gas emissions (GHGE). This paper claims that interventions to improve dietary intake and reduce dietary greenhouse gas emissions (dGHGE) are urgently needed and that adolescence presents a unique time in life to promote sustainable diets. Conclucsion are that food choices and dGHGE per calorie differ by sex in adolescents. Thus, intervention strategies to improve dietary sustainability need to be tailored differently to females and males. Diet quality should also be considered when promoting reduced GHGE diets.
This chapter aligns with Goals 2 and 11 by focusing on the potential for improved food production when agroforestry practices are exploited. Further, the use of Agroforestry enhances sustainability within food production systems by providing environmental protections and balances.

Patterns, Volume 4, 10 November 2023

Contextualizes discussions about future rights for AI agents in the context of the women rights and other civil rights movements. Brandeis Marshall, a leading voice in ethical and equitable AI, argues that we must focus first on building a social framework for AI that protects humans and their rights.
This chapter aligns with SDG Goal 5: Gender equality and Goal 9: Industry, innovation and infrastructure by exploring how to impactfully develop industries like sea cucumber aquaculture to empower women's growth within the industry.

Mafi-Gholami, Jaafari, Drought mapping, modeling, and remote sensing, Editor(s): Salim Lamine, Prashant K. Srivastava, Ahmed Kayad, Francisco Muñoz-Arriola, Prem Chandra Pandey; Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling, Elsevier, 2023, ISBN 9780323910682,

This chapter aligns with SDG 6 by showing applications of mapping various data sources such as rainfall, temperature, soil moisture, and vegetation cover, based on several drought indices. The utilization of these maps can aid in the identification of drought-affected regions and, subsequently, prioritize the allocation of water resources accordingly.
This Personal View supports SDGs 3 and 13 by calling for more research into the contribution that physical activity can have in adapting to rising global temperatures and, more broadly, to climate change.
The paper presented a comprehensive analysis of the research/publications landscape on the application of Machine Learning in Climate Change Research based on data.
This study focused on the HJRB, the location of the world's largest inter-basin water transfer project, as the study area.
The annual UN Climate Change Conference advances climate talks, mobilizes action, and can provide a significant opportunity to look at the impacts of climate change as well as innovation and solutions globally. Elsevier is pleased to highlight a large number of freely accessible journal articles and book chapters to help advance research and action against climate change, in support of COP28.