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The purpose of this study is to explore the genocidal impacts of uranium mining for Native Americans in the Northwest and Northern Plains, as well as their resistance to historical and contemporary acts of colonialism.

Using a case study approach, this study gathered qualitative data from various government, tribal and news sources to investigate the extent of ecological violence experienced by Native Americans specific to uranium mining processes on Spokane Indian Reservation, Pine Ridge Reservation and Wind River Reservation.

Native Americans in the Northwest and Northern Plains are victimized by the capitalism-genocide involved in uranium production. The consequences of the uranium industry boom in the 1950s–1980s has left Native Americans with degraded lands, polluted water sources and a legacy of adverse health effects, including some of the highest rates of cancer.

The work discussed in this paper offers possibilities for collaborating with Native Americans to develop more sustainable energy options for the USA to make the necessary shift away from fossil fuels and nuclear energy.

Prior research has addressed the genocidal impacts of uranium mining for Native Americans in the Southwest USA and claimed these actions were direct consequences of toxic colonialism, capitalistic agendas and the treadmill of production (Fegadel, 2023). Most uranium was recovered from ore deposits within the Colorado Plateau, and most abandoned uranium mines (AUMs) are located within the same region. Tribes residing in the Northwest and Northern Plains have, however, experienced similar plights as those in the Southwest, but these issues have not been widely examined.

Inflation and federal monetary efforts to control it with interest rate hikes have very real and overwhelmingly negative consequences on US local governments following the onset of COVID-19. This study explores the post-pandemic inflationary environment of US local governments; examines the impacts of inflation and high interest rates on local government revenue, operating costs, capital costs, and debt service; reviews local government inflation management strategies, including the use of intergovernmental revenue; and assesses ongoing threats to local government financial health and financial resilience.

This study uses trend and literature analysis to comment on current issues local governments face.

The study finds that the growth of property values and resulting stability of property tax revenue has been important to local government revenues; that local governments bear very real burdens as operating and capital costs increase; and that the combination of high inflation and interest rates affects local government debt issuance by negatively affecting credit quality and interest costs, leading to municipal market contraction. Local governments have benefitted tremendously from intergovernmental revenue, but would be ill-advised to rely on it.

Vulnerabilities owing from revenue mismatch with the economy; inadequate affordable housing, inequality, and social issues; a changing workforce and tight labor market; climate change; and federal fiscal contraction—all of which are exacerbated by high inflation and interest rates—require local governments to act strategically, boldly and collaboratively to achieve fiscal health and financial resilience, and to realize positive returns of investments in people and capital.

This work is unique in addressing the post-pandemic impact of inflation and interest rates on local governments.

Turkey hosts the largest number of refugees of any nation globally, and the influx of Syrian refugees has placed massive strain on the Turkish education system. In response, the Promoting Integration of Syrian Children to the Turkish Education System (PICTES) program was implemented to help strengthen the Turkish public-school system and increase education access for Syrian refugee students. This chapter uses Bacchi’s (2009) method of policy analysis to look deeply at the underlying assumptions in the PICTES program. This analysis reveals that while the PICTES program has made great strides toward helping refugee students gain more long-term and sustainable access to education, it reflects cultural deficit thinking and focuses more on what refugees’ lack and need than on what they already have. The author argues that the PICTES program needs to be revised to change the current deficit approach and emphasize recognizing and leveraging refugees’ cultural wealth.

Almost five years after legalization, the unlicensed cannabis market is still thriving in Canada, and legacy cannabis retailers continue to face barriers to legal market entry. This study aims to shed light on these challenges and offer policy recommendations supporting legacy retailers and the government’s goals of enhancing public safety and displacing the unlicensed market.

This study reviewed online sources, including the media, gray literature, government, and other policy and legal websites, to identify legacy retailers’ challenges to entering the Canadian ecosystem since legalization and policy approaches of legalized jurisdictions with similar issues.

Legacy retailers face financial, legal and social barriers to entering the legal market. The Canadian government should focus on lowering and eliminating these barriers by developing programs that reduce financial risks and required capital, facilitate partnership programs and accelerators, provide innovative options that reduce overhead expenses, encourage pooled ownership to support small businesses, prioritize market entry for equity-deserving individuals and enable automatic expungement. A description of programs that have been implemented in other jurisdictions to address similar barriers is provided.

The policy recommendations in this paper would enable increased entrepreneurship and employment in a growing sector. While the tax revenue earned from the new market entrants may not be enough to support all the recommended policy initiatives, it could be reinvested to fund some of them creating sustainable growth opportunities.

The paper provides practical, timely policy recommendations on expanding the legal cannabis market in Canada and addressing unintended negative consequences of current policies.

Fires have the potential to destroy, resulting in the loss of property and livelihoods, as well as injury, death and repeated trauma for those who are already vulnerable. However, fire as a hazard has been treated rigidly and un-critically, a model that has influenced how it is perceived by policy makers, first responders, engineers and academics and subsequently approaches to implementing and better understanding fire prevention, mitigation, response and recovery from the impacts of fire.

This article deals with fire, arguing that its case can help imagine what liberation might mean within and for disaster studies. The study argues against dogmatic, outdated, technological and solution-focused perspectives that have constrained how fire and its effects are understood and discuss what disciplinary liberation could mean for the study of fire and its integration within DRR. The study’s approach is based on the DRR Assemblage Theory, which points to fire as an issue at a societal level.

The study explores the themes of fire and liberation through contributions and insights that have emerged through the authors' professional experience in research and practice. It offers an original and timely engagement with disaster studies through the lens of fire, an increasingly pertinent phenomenon for disaster scholars and practitioners alike.

By drawing on the example of fire as a socio-technical-environmental phenomenon, this paper contributes a novel perspective on the intellectual and practical possibilities that can emerge from disciplinary liberation.

In a context where the promotion of a more sustainable agriculture is clearly aimed at, the paradoxical combination of sustainable agricultural practices (SAP) with chemical pesticides use instead of biological pest management techniques is recurrent in Sub-Saharan African (SSA) countries like Burkina Faso. Chemical pesticides are harmful to the environment and health. This paper aims to analyze the role of farmer education on the mode of adoption of SAP.

An endogenous treatment effect model is used with survey data on 1,898 rural households in Burkina Faso.

The results show a positive causal effect of farmer education on sustainable and chemical pesticide-free agriculture adoption.

Formal education appears to be general. This research could be extended to consider the role of training or extension services. More detailed results, focusing on spatial effects, could reinforce those of the present research.

Unlike previous studies, this paper addresses for the first time the paradoxical behavior of combining SAP with chemical pesticides use. It shows that farmer education contributes to explain it and is therefore a determining factor for a more sustainable agriculture.

The purpose of this study is rangeland biomass estimation and its spatial–temporal dynamics. Remote sensing has been a significant method for estimating biomass in recent years. The connection between vegetation index and field biomass will be used to assign probabilities, but in some cases, it does not provide acceptable results because of soil background and geographical and temporal variability.

In this study, the normalized difference red-edge (NDRE) index was used to calculate the rangeland biomass in comparison to five vegetation indices. Field measurements of biomass of natural rangeland in the West of Iran were taken in 2015, 2018 and 2021, and SENTINEL-2 data were used for analysis.

The results indicated that the overall advantage of NDRE stems from the fact that it adjusts for changes in leaf water content while overcoming the detrimental effects of soil substrate heterogeneity, both of these factors have a significant impact on pasture biomass. These results suggest that an NDRE-based biomass estimation model might be useful for estimating and monitoring biomass in large rangelands with significant geographical and temporal variability.

Identifying the best vegetation index to establish a vegetation-based biomass regression model for rangelands in large areas with different climatic conditions, plant compositions and soil types is the overall aim of this study.