Integrating the landscape epidemiology and genetics of RNA viruses: rabies in domestic dogs as a model

Landscape epidemiology and landscape genetics combine advances in molecular techniques, spatial analyses and epidemiological models to generate a more real-world understanding of infectious disease dynamics and provide powerful new tools for the study of RNA viruses. Using dog rabies as a model we have identified how key questions regarding viral spread and persistence can be addressed using a combination of these techniques. In contrast to wildlife rabies, investigations into the landscape epidemiology of domestic dog rabies requires more detailed assessment of the role of humans in disease spread, including the incorporation of anthropogenic landscape features, human movements and socio-cultural factors into spatial models. In particular, identifying and quantifying the influence of anthropogenic features on pathogen spread and measuring the permeability of dispersal barriers are important considerations for planning control strategies, and may differ according to cultural, social and geographical variation across countries or continents. Challenges for dog rabies research include the development of metapopulation models and transmission networks using genetic information to uncover potential source/sink dynamics and identify the main routes of viral dissemination. Information generated from a landscape genetics approach will facilitate spatially strategic control programmes that accommodate for heterogeneities in the landscape and therefore utilise resources in the most cost-effective way. This can include the efficient placement of vaccine barriers, surveillance points and adaptive management for large-scale control programmes

Vectors with autonomy: what distinguishes animal-mediated nutrient transport from abiotic vectors?

Animal movements are important drivers of nutrient redistribution that can affect primary productivity and biodiversity across various spatial scales. Recent work indicates that incorporating these movements into ecosystem models can enhance our ability to predict the spatio-temporal distribution of nutrients. However, the role of animal behaviour in animal-mediated nutrient transport (i.e. active subsidies) remains under-explored. Here we review the current literature on active subsidies to show how the behaviour of active subsidy agents makes them both ecologically important and qualitatively distinct from abiotic processes (i.e. passive subsidies). We first propose that animal movement patterns can create similar ecological effects (i.e. press and pulse disturbances) in recipient ecosystems, which can be equal in magnitude to or greater than those of passive subsidies. We then highlight three key behavioural features distinguishing active subsidies. First, organisms can transport nutrients counter-directionally to abiotic forces and potential energy gradients (e.g. upstream). Second, unlike passive subsidies, organisms respond to the patterns of nutrients that they generate. Third, animal agents interact with each other. The latter two features can form positive- or negative-feedback loops, creating patterns in space or time that can reinforce nutrient hotspots in places of mass aggregations and/or create lasting impacts within ecosystems. Because human-driven changes can affect both the space-use of active subsidy species and their composition at both population (i.e. individual variation) and community levels (i.e. species interactions), predicting patterns in nutrient flows under future modified environmental conditions depends on understanding the behavioural mechanisms that underlie active subsidies and variation among agents' contributions. We conclude by advocating for the integration of animal behaviour, animal movement data, and individual variation into future conservation efforts in order to provide more accurate and realistic assessments of changing ecosystem function

Habitats hold an evolutionary signal of past climatic refugia

Climatic refugia have often been associated with hotspots of richness and endemism, and identified on the basis of molecular or paleobotanical information. Here, we apply a phylogenetic analysis to 18,000 plant communities distributed across the Pyrenees, a south European mountain range, to identify climatic refugia from imprints of relictuality inferred from species' evolutionary distinctiveness (ED). We produced a genus-level phylogenetic tree to calculate the standardized mean ED value of plant communities (cED). Then, we explored which habitats concentrate the plant communities with the highest cED and the interrelated effect of past (long-term climatic stability) and present (topographic and spatial position) factors. Results show strong differences of cED among habitats: forests ranked first, followed by some open habitats like high altitude wetlands. Climate stability and roughness positively influenced cED. A weak negative association resulted between the two diversity measurements (richness and endemism rate) and also with cED. We propose that forests acted as 'mobile refugia' during the glacial-interglacial periods, supported by paleoenvironmental reconstructions revealing continuous presence at regional scale of key broadleaved trees at that time. Azonal habitats like the endemic-poor humid communities at high elevation would have also played an important role as more permanent microrefugia. Our approach identifies a variety of habitats and plant assemblages that have successfully withstood past climate change in different ways, and therefore would hold an important evolutionary potential to cope with current climate change. Given their potential role in preserving biodiversity, they should be integrated in future conservation agendas

Fish Distributions And Nutrient Cycling In Streams: Can Fish Create Biogeochemical Hotspots

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/117137/1/ecy20088982335.pd

Innovation Hot Spots: the Case of the Computer Services Sector in the Region of Attica, Greece

Elaborating on the notion innovation hot spots, we examine the case of the computer services sector in the Region of Attica, Greece. Fast-growing, geographically and industrially clustered firms are becoming an increasingly important factor for innovation and regional development. As a result, innovation hot spots enjoy rapid growth, leading to job creation, knowledge expansion and, in the best cases, sustainable development. The most recent European Trend Chart Reports (2004 and 2005) present Greece as innovation leader in the computer services sector. Computer services are characterized by a high knowledge creation and knowledge diffusion intensity meaning that the hot spots exploiting such services position high on an innovation intensity scale. Consulting, implementation, operations management and support services enjoy similar growth since they are complementary industries forming the Attica IT innovation hot spot. The purpose of our research within this field is twofold. First, we present the conditions under which this innovation leadership has emerged and come to flourish. We argue that growth in the Region of Attica has been boosted by the Information Society Program, the Olympic Games and the necessity for modernizing Greek firms, which leads them to favor investments in new technologies. Moreover, the region presents a favorable macroeconomic environment, characterized by high rates of development, increase of consumption and investments. Second, we analyze and propose a framework for maintaining the dynamics in the region -and in innovation hot spots in general- as there is a significant risk of rise-and-fall patterns occurring, leading to former hot spots transforming into “blind spotsâ€, and core competencies developed turning into core rigidities and cultural lock-in.

Fish Distributions and Nutrient Cycling in Streams: Can Fish Create Biogeochemical Hotspots?

Rates of biogeochemical processes often vary widely in space and time, and characterizing this variation is critical for understanding ecosystem functioning. In streams, spatial hotspots of nutrient transformations are generally attributed to physical and microbial processes. Here we examine the potential for heterogeneous distributions of fish to generate hotspots of nutrient recycling. We measured nitrogen (N) and phosphorus (P) excretion rates of 47 species of fish in an N-limited Neotropical stream, and we combined these data with population densities in each of 49 stream channel units to estimate unit- and reach-scale nutrient recycling. Species varied widely in rates of N and P excretion as well as excreted N:P ratios (6–176 molar). At the reach scale, fish excretion could meet \u3e75% of ecosystem demand for dissolved inorganic N and turn over the ambient NH4 pool i

Effects of a fire response trait on diversification in replicated radiations.

Fire has been proposed as a factor explaining the exceptional plant species richness found in Mediterranean regions. A fire response trait that allows plants to cope with frequent fire by either reseeding or resprouting could differentially affect rates of species diversification. However, little is known about the generality of the effects of differing fire response on species evolution. We study this question in the Restionaceae, a family that radiated in Southern Africa and Australia. These radiations occurred independently and represent evolutionary replicates. We apply Bayesian approaches to estimate trait-specific diversification rates and patterns of climatic niche evolution. We also compare the climatic heterogeneity of South Africa and Australia. Reseeders diversify faster than resprouters in South Africa, but not in Australia. We show that climatic preferences evolve more rapidly in reseeder lineages than in resprouters and that the optima of these climatic preferences differ between the two strategies. We find that South Africa is more climatically heterogeneous than Australia, independent of the spatial scale we consider. We propose that rapid shifts between states of the fire response trait promote speciation by separating species ecologically, but this only happens when the landscape is sufficiently heterogeneous

Ecological Impacts of Metallic Starling Colonies in Tropical Queensland, Australia

Animal aggregations – whereby large numbers of animals come together at one place at one time – can have dramatic impacts on individuals, populations and ecosystems. In many cases, they are also unique forms of animal interaction, and include some of the world’s most recognised wildlife spectacles. But despite these traits, the causes and consequences of animal aggregations are often poorly understood. One such case involves large colonies of metallic starlings (Aplonis metallica) that nest together in emergent rainforest trees in northern Queensland, Australia. Starling colonies attract a diverse assemblage of wildlife, which utilise resources dropped by the starlings. Remarkably, these animal aggregations have never been described, and thus broader questions about their influence on ecosystems in tropical Australia remain unanswered. My thesis aims to describe this system, begin to answer some of these questions, and elucidate broad patterns common to other aggregations of animals worldwide. It focuses on the starlings themselves and the reasons for their choice of colonial nest sites. It also explores the lives of the animals using the starling colonies, with specific chapters on native birds and feral pigs, invasive cane toads, and the ways these species mediate the influence of starling colonies on the surrounding ecosystem