Menu Planning and Grocery Shopping for People Living with Psychiatric Disabilities

Introduction: •The HowardCenter in Burlington, Vermont is designed to empower and improve the lives of individuals with mental illness throughout Chittenden County. •People living with chronic psychiatric disabilities have higher mortality rates and earlier onset of medical illness. It has been observed that many of the risk factors for chronic conditions revolve around nutrition, implying a chance to intervene. •Understanding the various ways people with psychiatric disabilities eat, buy, cook, and value a healthy diet is fundamental for the Howard Center to address increased mortality in this population. •Our goal is to identify barriers and develop a resource to improve nutrition in this population.https://scholarworks.uvm.edu/comphp_gallery/1054/thumbnail.jp

The Latitudinal Diversity Gradient: Novel Understanding through Mechanistic Eco-evolutionary Models

The latitudinal diversity gradient (LDG) is one of the most widely studied patterns in ecology, yet no consensus has been reached about its underlying causes. We argue that the reasons for this are the verbal nature of existing hypotheses, the failure to mechanistically link interacting ecological and evolutionary processes to the LDG, and the fact that empirical patterns are often consistent with multiple explanations. To address this issue, we synthesize current LDG hypotheses, uncovering their eco-evolutionary mechanisms, hidden assumptions, and commonalities. Furthermore, we propose mechanistic eco-evolutionary modeling and an inferential approach that makes use of geographic, phylogenetic, and trait-based patterns to assess the relative importance of different processes for generating the LDG.Additional co-authors: David Storch, Thorsten Wiegand, Allen H Hurlber

The Latitudinal Diversity Gradient: Novel Understanding through Mechanistic Eco-evolutionary Models

The latitudinal diversity gradient (LDG) is one of the most widely studied patterns in ecology, yet no consensus has been reached about its underlying causes. We argue that the reasons are the verbal nature of existing hypotheses, the failure to mechanistically link interacting ecological and evolutionary processes to the LDG, and the fact that empirical patterns are often consistent with multiple explanations. To address this issue, we synthesize current LDG hypotheses, uncovering their eco-evolutionary mechanisms, hidden assumptions, and commonalities. Furthermore, we propose mechanistic eco-evolutionary modeling and an inferential approach that makes use of geographic, phylogenetic, and trait-based patterns to assess the relative importance of different processes for generating the LDG