Abstract: “[Daniel Pauly] is an iconoclastic fisheries scientist ... who is so decidedly global in his life and outlook that he is nearly a man without a country.”—NEW YORK TIMES “Daniel Pauly is a friend whose work has inspired me for years.”—TED DANSONDaniel Pauly is a living legend in the world of marine biology. He coined the influential term “shifting baselines,” in which knowledge of environmental disaster fades over time, leading to a misguided understanding of our world. He blew the whistle on the global fishing industry, alerting the public to the devastation of overfishing. And he developed data-driven research methods that led to groundbreaking discoveries. Daniel Pauly is also a man whose life was shaped by struggle. Born after the Second World War to a white French woman and Black American GI in Paris, Pauly’s childhood has been described as Dickensian. His father left before he was born and his mother, whose family did not accept her and her mixed-race son, fell prey to a manipulative Swiss couple who abducted Pauly under murky circumstances. He was taken to Switzerland, where he was treated cruelly as the couple’s servant.  Pauly escaped to Germany to attend university and, as a young man, travelled to the United States during the 1969 civil rights movement, where he met his father’s family and experienced a political and racial reawakening. From there, he went on to have one of the most decorated careers in the field of marine biology. The Ocean’s Whistleblower “weaves together the challenges of marine research with an astonishing coming-of-age story” (Andrew Sharpless, Oceana) and is told through interviews with colleagues, friends, and Pauly himself. A brilliant book about a brilliant man, The Ocean’s Whistleblower finally profiles one of the most influential scientists of our time.

Abstract: An ecological community includes all individuals of all species that interact within a single patch or local area of habitat. Understanding the outcome of host–parasite interactions and predicting disease dynamics is particularly challenging at this biological scale because the different component species interact both directly and indirectly in complex ways. Current shifts in biodiversity due to global change, and its associated modifications to biological communities, will alter these interactions, including the probability of disease emergence, its dynamics over time, and its community-level consequences. Birds are integral component species of almost all natural communities. Due to their ubiquity and specific life history traits, they are defining actors in the ecology, evolution, and epidemiology of parasitic species. To better understand this role, this chapter examines the relative importance of birds and parasites in natural communities, revisiting basic notions in community ecology. The impact of changes in diversity for disease dynamics, including the debate surrounding dilution and amplification effects are specifically addressed. By considering the intrinsic complexities of natural communities, the importance of combining data from host and parasite communities to better understand how natural systems function over time and space is highlighted. The different elements in each section of the chapter are illustrated with brief, concrete examples from avian species, with a detailed example from marine bird communities in which Lyme disease bacteria circulate.

Abstract: The IRAP Plasmasphere Ionosphere Model (IPIM) is an ionospheric model which describes the transport equations of ionospheric plasma species along magnetic closed field lines. As input, the previous iteration of IPIM used basic models to provide estimations of the solar wind conditions, convection, and precipitation within the ionosphere. In this presentation, we discuss the development of a new operational version of IPIM as part of the EUHFORIA project to monitor and forecast space weather conditions and hazards. The developments of the model include using in-situ solar wind observations from the OMNI data set, ionospheric radar data of plasma motions from the Super Dual Auroral Radar Network (SuperDARN), and precipitation data from the Ovation model, as inputs to the model. A new conductivity module for low latitudes has also been developed for help in the simulation of geomagnetically induced currents. We present the first results from the latest IPIM version which explore the ionosphere's response to different solar wind conditions, before focussing on an extreme coronal mass ejection on 14th July 2012 with clear magnetic cloud and southward magnetic field. For this event, we explore simulations of important plasma properties of the ionosphere and compare with previous model iterations and all available observations and hence describe the skill of using IPIM as a space weather forecasting tool.