Search for: All records

Alaska, with its unique geographical and ecological characteristics, is experiencing the detrimental eects of climate change at an alarming rate. The Alaska Native (AN) population, deeply connected to the land and its resources, faces disproportionate vulnerability to these impacts. We call attention to climate change impacts on AN food sovereignty, mental and behavioral health, cultural and spiritual practices, resiliency and adaptation, and how local Alaskan organizations are addressing climate change impacts. This article also highlights the urgent need for environmental public health professionals to engage with AN and Native American communities, address health inequities, and participate in mitigation and adaptation efforts to address the environmental public health threats and consequences of climate change. Increasing awareness of climate related health impacts on these communities is crucial and immediate actions are needed to support safer, healthier, and more sustainable and climate-resilient communities. Government agencies at all levels should also seek to integrate perspectives from Indigenous Peoples, engage in co-management strategies, and provide equitable funding and support for Indigenous communities. Unity, resilience, and adaptation become attainable goals by joining communities in caring for the environment. This message resonates not only in Alaska but also globally, highlighting the need for collective action in the face of climate change. 

Abstract We present the state-of-the-art single-zone nuclear reaction networkWinNet, which is capable of calculating the nucleosynthetic yields of a large variety of astrophysical environments and conditions. This ranges from the calculation of the primordial nucleosynthesis, where only a few nuclei are considered, to the ejecta of neutron star mergers with several thousands of involved nuclei. Here we describe the underlying physics and implementation details of the reaction network. We additionally present the numerical implementation of two different integration methods, the implicit Euler method and Gears method, along with their advantages and disadvantages. We furthermore describe basic example cases of thermodynamic conditions that we provide together with the network and demonstrate the reliability of the code by using simple test cases. With this publication,WinNetwill be publicly available and open source at GitHub and Zenodo. 

Neutrino-driven winds following core collapse supernovae have been proposed as a suitable site where the so-called light heavy elements (between Sr to Ag) can be synthetized. For moderately neutron-rich winds, ( α,n ) reactions play a critical role in the weak r process, becoming the main mechanism to drive nuclear matter towards heavier elements. In this paper we summarize the sensitivity of network-calculated abundances to the astrophysical conditions, and to uncertainties in the ( α,n ) reaction rates. A list of few ( α,n ) reactions were identified to dominate the uncertainty in the calculated elemental abundances. Measurements of these reactions will allow to identify the astrophysical conditions of the weak r process by comparing calculated/observed abundances in r-limited stars.