Species' traits predict phenological responses to climate change in butterflies

How do species' traits help identify which species will respond most strongly to future climate change? We examine the relationship between species' traits and phenology in a well-established model system for climate change, the U.K. Butterfly Monitoring Scheme (UKBMS). Most resident U.K. butterfly species have significantly advanced their dates of first appearance during the past 30 years. We show that species with narrower larval diet breadth and more advanced overwintering stages have experienced relatively greater advances in their date of first appearance. In addition, species with smaller range sizes have experienced greater phenological advancement. Our results demonstrate that species' traits can be important predictors of responses to climate change, and they suggest that further investigation of the mechanisms by which these traits influence phenology may aid in understanding species' responses to current and future climate change

Contingent Care: Obstetricians' Lived Experience and Interpretations of Decision-Making in Childbirth

Thesis advisor: Sharlene N. Hesse-BiberThis dissertation seeks to understand obstetricians’ lived experience of decision-making in childbirth and investigate how the organizational context within which obstetricians work influences how they make treatment decisions. Understanding how obstetricians make decisions in childbirth is important because maternity care in the United States is in crisis. Our system is failing women on multiple accounts: between 1990 and 2013, maternal mortality more than doubled in the United States, and is higher than most other high-income countries. Furthermore, women continue to suffer from abusive practices by maternity care providers who dismiss their concerns and sometimes outright refuse to honor their self-determination in childbirth. Today multiple stakeholders acknowledge a need for maternity care reform; this creates new challenges for health care policy and opportunities for social science research. Obstetrician-gynecologists provide the majority of maternity care to American women, and this dissertation examines their lived experience of decision-making in birth and analyzes how a range of social forces affect this process. To investigate this phenomenon I performed 50 in-depth interviews with obstetricians from Massachusetts, Louisiana and Vermont about how they make patient care decisions in birth. The specific research questions and analysis for each chapter evolved through an iterative process that combined analytical grounded theory and template analysis. I present this in a three-article format. In article one I show how shift-work models of labor and delivery pose challenges to using a patient-centered approach to decision-making. Obstetricians either work shifts in labor and delivery or they work on-call for their patients’ births. The current thinking is that shifts are good because they allow work-life balance for doctors, reduce fatigue, and reduce convenience-based decisions. Shift work models assume that doctors and patients are interchangeable because doctors will follow protocols and standards of care produced by medical professional organizations. I argue shift work does not work in practice the way it does in theory. I explain how there are not standards for many decisions in birth, instead these decisions are characterized by medical uncertainty. In these cases, doctors rely on patient-centered approaches to make decisions. But shift work limits doctors’ ability to use patient-centered approaches. I found that shift-work models of hospital care do not provide doctors the opportunity to get to know their patients and understand their preferences. In practices that do not depend on shift work, the doctor patient relationship is far less fragmented and doctors tend to experience less conflict with their patients and are less likely to rely on stereotypes that reproduce social inequality. In article two I examine obstetricians’ understandings of convenience as a motivation in decision-making. Anecdotal evidence suggests that obstetricians sometimes make clinical care decisions less out of concern for their patients and more out of concern for their own time and schedule. This may be a particular problem in on-call models. In this paper I show doctors’ stories match anecdotal evidence: Some obstetricians make clinical decisions in birth based partially on their own convenience. Yet others actively resist the temptation of convenience, even in on-call care. A key dimension of this difference lies in doctors’ understandings of the nature of time in labor and the safety of interventions. Some doctors have a faster-the-better approach to birth and believe the routine use of interventions is the best way to practice in labor and delivery. These doctors frame their own convenience as legitimate because it overlaps with the idea that speeding up the labor is inherently good. Alternatively, other doctors believe time in labor is productive, and that interventions should be used judiciously because they increase risk of harm. These doctors cannot easily legitimize convenience because it conflicts with the reduction of interventions as a key dimension of this philosophy. I argue that because shift work poses serious challenges to patient-centered care, cultural change is a better avenue for reducing births of convenience. Article three addresses an ongoing question in medical sociology about whether physicians maintain control over their clinical work amidst challenges to their authority. Patient empowerment and standardization are two movements that sociologists have theorized in terms of weakening of doctors’ clinical discretion. I uncover how obstetricians draw on the conflicting nature of these approaches strategically to maintain their power in the face of a threat. Standards and patient empowerment act as countervailing powers; they drew on one to off set the challenge to their authority posed by the other.Thesis (PhD) — Boston College, 2017.Submitted to: Boston College. Graduate School of Arts and Sciences.Discipline: Sociology

Heads Up: Using Your Brain When Tackling Concussions

Introduction: A concussion is a type of traumatic brain injury (TBI) typically caused by bio-mechanical forces inflicted on the head that change the way the brain works. Concussions can also result from a blow elsewhere in the body causing an impulsive force transmitted to the head. These types of injuries often involve a sudden onset of neurologic function impairment such as confusion, amnesia, or loss of consciousness that quickly dissipates and is generally not life-threatening. Unfortunately, these seemingly “mild” symptoms have led numerous primary care providers to undermine its potential risks, often leading to inadequate evaluation, premature return to play, and poor psychological management. Complications of severe or repeated concussions include migraines, depression & mood changes, sleep disorders, convulsions, coma, and in some instances even death. The goals of our study were to evaluate public awareness and knowledge of concussion, identify common misconceptions, assess barriers to proper management, and propose uniform guidelines for education, prevention, diagnosis, and treatment to be used in the Vermont school system.https://scholarworks.uvm.edu/comphp_gallery/1051/thumbnail.jp

A Physiological Trait-Based Approach To Predicting The Responses Of Species To Experimental Climatic Warming

Physiological tolerance of environmental conditions can influence species-level responses to climatic change. Here, we used species-specific thermal tolerances to predict the community responses of ant species to experimental forest-floor warming at the northern and southern boundaries of temperate hardwood forests in eastern North America. We then compared the predictive ability of thermal tolerance versus correlative species distribution models (SDMs) which are popular forecasting tools for modeling the effects of climatic change. Thermal tolerances predicted the responses of 19 ant species to experimental climatic warming at the southern site, where environmental conditions are relatively close to the ants' upper thermal limits. In contrast, thermal tolerances did not predict the responses of the 6 species in the northern site, where environmental conditions are relatively far from the ants' upper thermal limits. Correlative SDMs were not predictive at either site. Our results suggest that, in environments close to a species' physiological limits, physiological trait-based measurements can successfully forecast the responses of species to future conditions. Although correlative SDMs may predict large-scale responses, such models may not be accurate for predicting site-level responses.Organismic and Evolutionary Biolog

A physiological trait-based approach to predicting the responses of species to experimental climate warming

Physiological tolerance of environmental conditions can influence species-level responses to climate change. Here, we used species-specific thermal tolerances to predict the community responses of ant species to experimental forest-floor warming at the northern and southern boundaries of temperate hardwood forests in eastern North America. We then compared the predictive ability of thermal tolerance vs. correlative species distribution models (SDMs) which are popular forecasting tools for modeling the effects of climate change. Thermal tolerances predicted the responses of 19 ant species to experimental climate warming at the southern site, where environmental conditions are relatively close to the ants\u27 upper thermal limits. In contrast, thermal tolerances did not predict the responses of the six species in the northern site, where environmental conditions are relatively far from the ants\u27 upper thermal limits. Correlative SDMs were not predictive at either site. Our results suggest that, in environments close to a species\u27 physiological limits, physiological trait-based measurements can successfully forecast the responses of species to future conditions. Although correlative SDMs may predict large-scale responses, such models may not be accurate for predicting sitelevel responses. © 2012 by the Ecological Society of America

Heat tolerance predicts the importance of species interaction effects as the climate changes

Few studies have quantified the relative importance of direct effects of climate change on communities versus indirect effects that are mediated thorough species interactions, and the limited evidence is conflicting. Trait-based approaches have been popular in studies of climate change, but can they be used to estimate direct versus indirect effects? At the species level, thermal tolerance is a trait that is often used to predict winners and losers under scenarios of climate change. But thermal tolerance might also inform when species interactions are likely to be important because only subsets of species will be able to exploit the available warmer climatic niche space, and competition may intensify in the remaining, compressed cooler climatic niche space. Here, we explore the relative roles of the direct effects of temperature change and indirect effects of species interactions on forest ant communities that were heated as part of a large-scale climate manipulation at high-A nd low-latitude sites in eastern North America. Overall, we found mixed support for the importance of negative species interactions (competition), but found that the magnitude of these interaction effects was predictable based on the heat tolerance of the focal species. Forager abundance and nest site occupancy of heat-intolerant species were more often influenced by negative interactions with other species than by direct effects of temperature. Our findings suggest that measures of species-specific heat tolerance may roughly predict when species interactions will influence responses to global climate change

Climatic warming destabilizes forest ant communities

How will ecological communities change in response to climate warming? Direct effects of temperature and indirect cascading effects of species interactions are already altering the structure of local communities, but the dynamics of community change are still poorly understood. We explore the cumulative effects of warming on the dynamics and turnover of forest ant communities that were warmed as part of a 5-year climate manipulation experiment at two sites in eastern North America. At the community level, warming consistently increased occupancy of nests and decreased extinction and nest abandonment. This consistency was largely driven by strong responses of a subset of thermophilic species at each site. As colonies of thermophilic species persisted in nests for longer periods of time under warmer temperatures, turnover was diminished, and species interactions were likely altered. We found that dynamical (Lyapunov) community stability decreased with warming both within and between sites. These results refute null expectations of simple temperature-driven increases in the activity and movement of thermophilic ectotherms. The reduction in stability under warming contrasts with the findings of previous studies that suggest resilience of species interactions to experimental and natural warming. In the face of warmer, no-analog climates, communities of the future May become increasingly fragile and unstable

Understanding the circumgalactic medium is critical for understanding galaxy evolution

The circumgalactic medium is a major reservoir of baryons and metals, playing a key role in the long cycles of accretion, feedback, and recycling of gas driving galaxy evolution. Fundamental progress on major issues in galaxy evolution depends critically on improved empirical characterization and theoretical understanding of circumgalactic gas

Development of a Comprehensive Measure of Organizational Readiness (Motivation × Capacity) For Implementation: A Study Protocol

BACKGROUND: Organizational readiness is important for the implementation of evidence-based interventions. Currently, there is a critical need for a comprehensive, valid, reliable, and pragmatic measure of organizational readiness that can be used throughout the implementation process. This study aims to develop a readiness measure that can be used to support implementation in two critical public health settings: federally qualified health centers (FQHCs) and schools. The measure is informed by the Interactive Systems Framework for Dissemination and Implementation and R = MC heuristic (readiness = motivation × innovation-specific capacity × general capacity). The study aims are to adapt and further develop the readiness measure in FQHCs implementing evidence-based interventions for colorectal cancer screening, to test the validity and reliability of the developed readiness measure in FQHCs, and to adapt and assess the usability and validity of the readiness measure in schools implementing a nutrition-based program. METHODS: For aim 1, we will conduct a series of qualitative interviews to adapt the readiness measure for use in FQHCs. We will then distribute the readiness measure to a developmental sample of 100 health center sites (up to 10 staff members per site). We will use a multilevel factor analysis approach to refine the readiness measure. For aim 2, we will distribute the measure to a different sample of 100 health center sites. We will use multilevel confirmatory factor analysis models to examine the structural validity. We will also conduct tests for scale reliability, test-retest reliability, and inter-rater reliability. For aim 3, we will use a qualitative approach to adapt the measure for use in schools and conduct reliability and validity tests similar to what is described in aim 2. DISCUSSION: This study will rigorously develop a readiness measure that will be applicable across two settings: FQHCs and schools. Information gained from the readiness measure can inform planning and implementation efforts by identifying priority areas. These priority areas can inform the selection and tailoring of support strategies that can be used throughout the implementation process to further improve implementation efforts and, in turn, program effectiveness