Cod response to past and current warm phases in the Seas of Iceland, a time series analysis

Climate change, and in particular global warming, is already affecting the Arctic and is expected to continue in the near future. A sustainable use the Arctic resources requires an increased understanding of its functioning that helps us anticipate change and adapt to it. Cod time series in Iceland cover a period of more than 50 years. Three distinct phases can be identified over this span of time: (1) the current warm phase characterised by relatively high cod biomasses, (2) an earlier phase (around the 1950s) with similar conditions separated by (3) some 20 years of cold temperatures and low biomasses. The aim of this study is to identify possible regime-dependent dynamics associated to these warm and cold phases that can help us identify key drivers in the current and future warm regime. To do this we compiled a database of fishing pressure, hydrographical and biological (copepods and euphausiids) variables as well as three cod population descriptors: (i) total spawning stock biomass, (ii) the population growth rate derived from matrix population models and (iii) disaggregated number at age time series. These three cod indices were subsequently regressed (GAM and threshold GAM) against the environmental and anthropogenic variables. Our results point out a probable regime-dependent mechanism where plankton effects would only be important for cod under warm conditions. No threshold-like responses were found in the population growth rate nor in the number at age for the various age classes

Estimating the functional form for the density dependence from life history data

Two contrasting approaches to the analysis of population dynamics are currently popular: demographic approaches where the associations between demographic rates and statistics summarizing the population dynamics are identified; and time series approaches where the associations between population dynamics, population density, and environmental covariates are investigated. In this paper, we develop an approach to combine these methods and apply it to detailed data from Soay sheep (Ovis aries). We examine how density dependence and climate contribute to fluctuations in population size via age- and sex-specific demographic rates, and how fluctuations in demographic structure influence population dynamics. Density dependence contributes most, followed by climatic variation, age structure fluctuations and interactions between density and climate. We then simplify the density-dependent, stochastic, age-structured demographic model and derive a new phenomenological time series which captures the dynamics better than previously selected functions. The simple method we develop has potential to provide substantial insight into the relative contributions of population and individual-level processes to the dynamics of populations in stochastic environments

Development and resilience in three Arctic ecosystems: Baltic, Barents and Iceland Seas

In this GreenMAR project we look into the historical development of the marine ecosystems that surround the Nordic countries in an effort to forecast their future evolution. We pay particular attention to the way their food webs responded to similar stressors (warming) and fishing regimes in the past. We have compiled historical information on environmental and biological components, from plankton to fish, over the last 25 to 45 years, depending on the system. On these four ecosystems we have: (i) carried out multivariate analyses to describe their main trends and (ii) constructed stability landscapes to quantify their resilience. We will show these results and discuss their implications

Supply chains create global benefits from improved vaccine accessibility

Ensuring a more equitable distribution of vaccines worldwide is an effective strategy to control global pandemics and support economic recovery. We analyze the socioeconomic effects - defined as health gains, lockdown-easing effect, and supply-chain rebuilding benefit - of a set of idealized COVID-19 vaccine distribution scenarios. We find that an equitable vaccine distribution across the world would increase global economic benefits by 11.7% ($950 billion per year), compared to a scenario focusing on vaccinating the entire population within vaccine-producing countries first and then distributing vaccines to non-vaccine-producing countries. With limited doses among low-income countries, prioritizing the elderly who are at high risk of dying, together with the key front-line workforce who are at high risk of exposure is projected to be economically beneficial (e.g., 0.9%~3.4% annual GDP in India). Our results reveal how equitable distributions would cascade more protection of vaccines to people and ways to improve vaccine equity and accessibility globally through international collaboration

Assessing the role of live poultry trade in community-structured transmission of avian influenza in China

The live poultry trade is thought to play an important role in the spread and maintenance of highly pathogenic avian influenza A viruses (HP AIVs) in Asia. Despite an abundance of small-scale observational studies, the role of the poultry trade in disseminating AIV over large geographic areas is still unclear, especially for developing countries with complex poultry production systems. Here we combine virus genomes and reconstructed poultry transportation data to measure and compare the spatial spread in China of three key subtypes of AIV: H5N1, H7N9, and H5N6. Although it is difficult to disentangle the contribution of confounding factors, such as bird migration and spatial distance, we find evidence that the dissemination of these subtypes among domestic poultry is geographically continuous and likely associated with the intensity of the live poultry trade in China. Using two independent data sources and network analysis methods, we report a regional-scale community structure in China that might explain the spread of AIV subtypes in the country. The identification of this structure has the potential to inform more targeted strategies for the prevention and control of AIV in China

The shape of ecological networks

We study the statistics of ecosystems with a variable number of co-evolving species. The species interact in two ways: by prey-predator relationships and by direct competition with similar kinds. The interaction coefficients change slowly through successful adaptations and speciations. We treat them as quenched random variables. These interactions determine long-term topological features of the species network, which are found to agree with those of biological systems.Comment: 4 pages, 2 figure

Ecology of the collapse of Rapa Nui society

Collapses of food producer societies are recurrent events in prehistory and have triggered a growing concern for identifying the underlying causes of convergences/divergences across cultures around the world. One of the most studied and used as a paradigmatic case is the population collapse of the Rapa Nui society. Here, we test different hypotheses about it by developing explicit population dynamic models that integrate feedbacks between climatic, demographic and ecological factors that underpinned the sociocultural trajectory of these people. We evaluate our model outputs against a reconstruction of past population size based on archaeological radiocarbon dates from the island. The resulting estimated demographic declines of the Rapa Nui people are linked to the long-term effects of climate change on the island's carrying capacity and, in turn, on the 'per-capita food supply'