Cross-species extrapolation of chemical sensitivity

Ecosystems are usually populated by many species. Each of these species carries the potential to show a different sensitivity towards all of the numerous chemical compounds that can be present in their environment. Since experimentally testing all possible species-chemical combinations is impossible, the ecological risk assessment of chemicals largely depends on cross-species extrapolation approaches. This review overviews currently existing cross-species extrapolation methodologies, and discusses i) how species sensitivity could be described, ii) which predictors might be useful for explaining differences in species sensitivity, and iii) which statistical considerations are important. We argue that risk assessment can benefit most from modelling approaches when sensitivity is described based on ecologically relevant and robust effects. Additionally, specific attention should be paid to heterogeneity of the training data (e.g. exposure duration, pH, temperature), since this strongly influences the reliability of the resulting models. Regarding which predictors are useful for explaining differences in species sensitivity, we review interspecies-correlation, relatedness-based, traits-based, and genomic-based extrapolation methods, describing the amount of mechanistic information the predictors contain, the amount of input data the models require, and the extent to which the different methods provide protection for ecological entities. We develop a conceptual framework, incorporating the strengths of each of the methods described. Finally, the discussion of statistical considerations reveals that regardless of the method used, statistically significant models can be found, although the usefulness, applicability, and understanding of these models varies considerably. We therefore recommend publication of scientific code along with scientific studies to simultaneously clarify modelling choices and enable elaboration on existing work. In general, this review specifies the data requirements of different cross-species extrapolation methods, aiming to make regulators and publishers more aware that access to raw- and meta-data needs to be improved to make future cross-species extrapolation efforts successful, enabling their integration into the regulatory environment

Towards Genetic Identification with Male-specific Mutations

The identification and application of new genetic variants for differentiation patrilineally related male relatives using Y chromosomal short tandem repeats (Y-STRs)

CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences

This report documents the results of a study to address the long range, strategic planning required by NASA's Revolutionary Computational Aerosciences (RCA) program in the area of computational fluid dynamics (CFD), including future software and hardware requirements for High Performance Computing (HPC). Specifically, the "Vision 2030" CFD study is to provide a knowledge-based forecast of the future computational capabilities required for turbulent, transitional, and reacting flow simulations across a broad Mach number regime, and to lay the foundation for the development of a future framework and/or environment where physics-based, accurate predictions of complex turbulent flows, including flow separation, can be accomplished routinely and efficiently in cooperation with other physics-based simulations to enable multi-physics analysis and design. Specific technical requirements from the aerospace industrial and scientific communities were obtained to determine critical capability gaps, anticipated technical challenges, and impediments to achieving the target CFD capability in 2030. A preliminary development plan and roadmap were created to help focus investments in technology development to help achieve the CFD vision in 2030

Ecological Niches and Geographic Distributions of Lanternfishes

Lanternfishes (Myctophidae) dominate fish diversity and biomass within the mesopelagic ocean between 200-1000m deep. In the face of exploitation and climate change there is a need to predict their current and future biogeography as well as the ecological and evolutionary mechanisms responsible for these patterns. This thesis aimed to fill this gap by using Ecological Niche Models (ENMs) to estimate species’ fundamental niches and associated distributions. With a focus on Southern Ocean species, uncertainties were investigated regarding (i) the application of ENMs to a 3-dimensional environment by comparing ‘3D’ and ‘2D’ approaches, and (ii) the use of climate data when projecting ecological responses to climate change by undertaking a literature review and using Electrona antarctica to reveal the variability in projections that can result from multiple levels of climate uncertainty. These results were then used to predict the current and future distribution of ten lanternfish species using a ‘2D’ ENM and an ensemble of climate change simulations. Species showed high affiliation to water masses and contrasting future responses. Antarctic species with restricted thermal niches and available habitat in which to disperse were most vulnerable to climate change which has implications for the size structure of the myctophid community and wider consequences for predators and prey. The global phylogeography of lanternfishes was investigated to elucidate the mode and mechanisms of speciation. Species grouped in to broad biogeographic clusters with recently diverged species displaying highest spatial overlap. The niche, depth, and photophore patterns analysed gave no clear indication of the mechanisms facilitating speciation, but there is strong evidence that sympatric or parapatric speciation is a dominant mode of divergence. Overall, these findings demonstrate that the unique physical and environmental setting of the vast pelagic ocean has played, and will continue to play, an important role in the biogeography and diversification of lanternfishes

The effects of ecology and climate change on the conservation of eastern Himalayan avifauna

The existence of biodiversity is central to all biological sciences, and especially ecology. Without it, an entire branch of knowledge would cease to exist. Despite this centrality, there is considerable debate on the mechanisms that create and maintain diversity. This is especially true of high-diversity areas. There is also considerable debate on how we can best protect biodiversity, in order to allow the science of biology to flourish into the future. Here, I present an investigation of the processes that allow biodiversity to be maintained in the Eastern Himalayas, a critically understudied high-diversity region, as well as a systematic analysis of the conservation priorities there. I focus on birds as a charismatic, speciose and conspicuous set of taxa. I spent several months gathering fine-scale occurrence data for the breeding bird community in Arunachal Pradesh, a state in Northeast India that is at the heart of the Eastern Himalayan ecoregion. Using this data, I first show that bird species on the steep elevational gradient present in the region segregate into narrow elevational bands. I also show that this segregation can best be explained by evolutionary processes resulting from interspecies competition in the long term, and by continued interspecies competition in the short term. I then go on to demonstrate that these narrow ranges of climate tolerance will be greatly affected by climate change, with species’ ranges shifting and contracting over the next 50 years. Moreover, when interspecies competition is taken to account, these extent of these predicted changes is intensified. Finally, I use these predicted distributions to create a spatially explicit map of conservation priorities. I present alternatives based on different conservation goals, as well as different projections of the extent of global climate change. I also present an idealized map of areas most in need of protection, and compare that to the existing set of formally protected areas. Taken in their entirety, these studies present a cogent explanation for the existence of high biodiversity in one of the most special regions of the planet, as well as a roadmap toward protecting that diversity for future generations.Ecology, Evolution and Behavio

Modeling of Species Distribution and Biodiversity in Forests

Understanding the patterns of biodiversity and their relationship with environmental gradients is a key issue in ecological research and conservation in forests. Several environmental factors can influence species distributions in these complex ecosystems. It is therefore important to distinguish the effects of natural factors from the anthropogenic ones (e.g., environmental pollution, climate change, and forest management) by adopting reliable models able to predict future scenarios of species distribution. In the last 20 years, the use of statistical tools, such as Species Distribution Models (SDM) or Ecological Niche Models (ENM), allowed researchers to make great strides in the subject, with hundreds of scientific research works in this field. This book collects several research articles where these methodological approaches are the starting point to deepen the knowledge in many timely and emerging topics in forest ecosystems around the world, from Eurasia to America