4,467 research outputs found

    Sustaining Economic Exploitation of Complex Ecosystems in Computational Models of Coupled Human-Natural Networks

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    Understanding ecological complexity has stymied scientists for decades. Recent elucidation of the famously coined "devious strategies for stability in enduring natural systems" has opened up a new field of computational analyses of complex ecological networks where the nonlinear dynamics of many interacting species can be more realistically mod-eled and understood. Here, we describe the first extension of this field to include coupled human-natural systems. This extension elucidates new strategies for sustaining extraction of biomass (e.g., fish, forests, fiber) from ecosystems that account for ecological complexity and can pursue multiple goals such as maximizing economic profit, employment and carbon sequestration by ecosystems. Our more realistic modeling of ecosystems helps explain why simpler "maxi-mum sustainable yield" bioeconomic models underpinning much natural resource extraction policy leads to less profit, biomass, and biodiversity than predicted by those simple models. Current research directions of this integrated natu-ral and social science include applying artificial intelligence, cloud computing, and multiplayer online games

    The Hierarchic treatment of marine ecological information from spatial networks of benthic platforms

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    Measuring biodiversity simultaneously in different locations, at different temporal scales, and over wide spatial scales is of strategic importance for the improvement of our understanding of the functioning of marine ecosystems and for the conservation of their biodiversity. Monitoring networks of cabled observatories, along with other docked autonomous systems (e.g., Remotely Operated Vehicles [ROVs], Autonomous Underwater Vehicles [AUVs], and crawlers), are being conceived and established at a spatial scale capable of tracking energy fluxes across benthic and pelagic compartments, as well as across geographic ecotones. At the same time, optoacoustic imaging is sustaining an unprecedented expansion in marine ecological monitoring, enabling the acquisition of new biological and environmental data at an appropriate spatiotemporal scale. At this stage, one of the main problems for an effective application of these technologies is the processing, storage, and treatment of the acquired complex ecological information. Here, we provide a conceptual overview on the technological developments in the multiparametric generation, storage, and automated hierarchic treatment of biological and environmental information required to capture the spatiotemporal complexity of a marine ecosystem. In doing so, we present a pipeline of ecological data acquisition and processing in different steps and prone to automation. We also give an example of population biomass, community richness and biodiversity data computation (as indicators for ecosystem functionality) with an Internet Operated Vehicle (a mobile crawler). Finally, we discuss the software requirements for that automated data processing at the level of cyber-infrastructures with sensor calibration and control, data banking, and ingestion into large data portals.Peer ReviewedPostprint (published version

    Managing the climate commons at the nexus of ecology, behaviour and economics

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    Sustainably managing coupled ecological–economic systems requires not only an understanding of the environmental factors that affect them, but also knowledge of the interactions and feedback cycles that operate between resource dynamics and activities attributable to human intervention. The socioeconomic dynamics, in turn, call for an investigation of the behavioural drivers behind human action. We argue that a multidisciplinary approach is needed in order to tackle the increasingly pressing and intertwined environmental challenges faced by modern societies. Academic contributions to climate change policy have been constrained by methodological and terminological differences, so we discuss how programmes aimed at cross-disciplinary education and involvement in governance may help to unlock scholars' potential to propose new solutions

    2011 Strategic roadmap for Australian research infrastructure

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    The 2011 Roadmap articulates the priority research infrastructure areas of a national scale (capability areas) to further develop Australia’s research capacity and improve innovation and research outcomes over the next five to ten years. The capability areas have been identified through considered analysis of input provided by stakeholders, in conjunction with specialist advice from Expert Working Groups   It is intended the Strategic Framework will provide a high-level policy framework, which will include principles to guide the development of policy advice and the design of programs related to the funding of research infrastructure by the Australian Government. Roadmapping has been identified in the Strategic Framework Discussion Paper as the most appropriate prioritisation mechanism for national, collaborative research infrastructure. The strategic identification of Capability areas through a consultative roadmapping process was also validated in the report of the 2010 NCRIS Evaluation. The 2011 Roadmap is primarily concerned with medium to large-scale research infrastructure. However, any landmark infrastructure (typically involving an investment in excess of $100 million over five years from the Australian Government) requirements identified in this process will be noted. NRIC has also developed a ‘Process to identify and prioritise Australian Government landmark research infrastructure investments’ which is currently under consideration by the government as part of broader deliberations relating to research infrastructure. NRIC will have strategic oversight of the development of the 2011 Roadmap as part of its overall policy view of research infrastructure

    Human ecodynamics: A perspective for the study of long-term change in socioecological systems

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    Human ecodynamics (H.E.) refers to processes of stability, resilience, and change in socio-ecological relationships or systems. H.E. research involves interdisciplinary study of the human condition as it affects and is affected by the rest of the non-human world. In this paper, we review the intellectual history of the human ecodynamics concept over the past several decades, as it has emerged out of classical ecology, anthropology, behavioral ecology, resilience theory, historical ecology, and related fields, especially with respect to the study of long-term socioecological change. Those who study human ecodynamics reject the notion that humans should be considered external to the environments in which they live and have lived for millennia. Many are interested in the resilience and sustainability of past human-natural configurations, often striving to extract lessons from the past that can benefit society today. H.E. research, involving the study of paleoenvironments and archaeology, has taken shape around a series of methodological advances that facilitate the study of past chronology, paleoecology, paleodemography, mobility, trade, and social networks. It is only through integrated study of \u27coupled human-natural systems\u27—\u27socio-ecosystems\u27—that we can hope to understand dynamic human-environmental interactions and begin to manage them for sustainable goals. Local and traditional or Indigenous knowledge provides another important influence to human ecodynamics research, and we explore how such knowledge can provide both expert witness into the operation of socioecological systems and insight into the human/cultural dimensions of those systems. Ultimately, we conclude that human ecodynamics is more encompassing than a number of related approaches and can provide a nexus for productive research. Through its interdisciplinary breadth, the framework unites scholarship that tends to be more isolated to address complex problems that are best tackled with diverse perspectives

    Socio-ecological drivers of fish biomass on coral reefs: the importance of accessibility, protection and key species

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    Coral reefs have the greatest biodiversity of any ecosystem on the planet and support ecosystem goods and services to million people who depend directly on them for food, economic income, coastal protection and cultural values. There is a clear consensus that accessibility through road networks and infrastructure expansion is a main driver of ecosystem conditions, with the most accessible resources being most at risk. Yet to date measuring the extent to which coral reefs are accessible to humans is strictly limited to examining the linear distance between fishing grounds and markets or ports. However, linear distance ignores ragged coastlines, road networks and other features that can affect the time required to reach fishing grounds from a human settlement. This thesis presents a double challenge: (i) developing new metrics of accessibility that account for seascape heterogeneity to better assess human impacts on coral reefs; and (ii) evaluating the importance of coral reef accessibility, in interactions with their management, to explain variations of fish biomass. First, I estimated the travel time between any given coral reef and human populations and markets based on the friction distance which is related to transport surfaces (paved road, dirt road, water) influencing transportation costs and the effective reach from human settlements. I found that travel time is a strong predictor of fish biomass. Second, using a downscaling of the travel time approach I illustrated how market proximity can affect the behavior of fishermen and, ultimately, trigger changes in marine resource exploitation in North-Western Madagascar. Market access appears as a critical step toward a long-term management of coral reef fisheries. Third, travel time was used to build a human gravity index, defined as human population divided by the squared travel time, to better assess the level of human pressure on any reef of the world. Then, gravity was used to assess the effectiveness of marine reserves given the level of human pressure. The results highlighted critical ecological trade-offs in conservation since reserves with moderate-to-high human impacts provide substantial gains for fish biomass while only reserves located where human impacts are low can support populations of top predators like sharks which are otherwise absent from coral reefs. Fourth, I developed a new Community-Wide Scan (CWS) approach to identify fish species that significantly contribute, beyond the socio-environmental and species richness effects, to fish biomass and coral cover on Indo-Pacific reefs. Among about 400 fishes, I identified only a limited set of species (51), belonging to various functional groups and evolutionary lineages, which promote biomass and coral cover; such key species making tractable conservation targets. Within the context of global changes and biodiversity loss, the thesis challenges the sustainable and efficient management of coral reef socio-ecological systems with accessibility being the cornerstone but also the main danger in a near future where roads will expand and coastal human populations will grow
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