Relevant bibliographies by topics / Artificial Ecosystem

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Artificial Ecosystem'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 April 2022

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Journal articles on the topic "Artificial Ecosystem"

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Swenson, W., D. S. Wilson, and R. Elias. "Artificial ecosystem selection." Proceedings of the National Academy of Sciences 97, no. 16 (July 11, 2000): 9110–14. http://dx.doi.org/10.1073/pnas.150237597.

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黄, 鸿勇. "Artificial Intelligence Home Ecosystem." Artificial Intelligence and Robotics Research 07, no. 04 (2018): 147–51. http://dx.doi.org/10.12677/airr.2018.74017.

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Fan, Xue, Xingming Hao, Haichao Hao, Jingjing Zhang, and Yuanhang Li. "Comprehensive Assessment Indicator of Ecosystem Resilience in Central Asia." Water 13, no. 2 (January 7, 2021): 124. http://dx.doi.org/10.3390/w13020124.

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The ecosystems in the arid inland areas of Central Asia are fragile and severely degraded. Understanding and assessing ecosystem resilience is a challenge facing ecosystems. Based on the net primary productivity (NPP) data estimated by the CASA model, this study conducted a quantitative analysis of the ecosystem’s resilience and comprehensively reflected its resilience from multiple dimensions. Furthermore, a comprehensive resilience index was constructed. The result showed that plain oasis’s ecosystem resilience is the highest, followed by deserts and mountainous areas. From the perspective of vegetation types, the highest resilience is artificial vegetation and the lowest is forest. In warm deserts, the resilience is higher in shrubs and meadows and lower in grassland vegetation. High coverage and biomass are not the same as the strong adaptability of the ecosystem. Moderate and slightly inelastic areas mainly dominate the ecosystem resilience of the study area. The new method is easy to use. The evaluation result is reliable. It can quantitatively analyze the resilience latitude and recovery rate, a beneficial improvement to the current ecosystem resilience evaluation.
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Fan, Xue, Xingming Hao, Haichao Hao, Jingjing Zhang, and Yuanhang Li. "Comprehensive Assessment Indicator of Ecosystem Resilience in Central Asia." Water 13, no. 2 (January 7, 2021): 124. http://dx.doi.org/10.3390/w13020124.

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The ecosystems in the arid inland areas of Central Asia are fragile and severely degraded. Understanding and assessing ecosystem resilience is a challenge facing ecosystems. Based on the net primary productivity (NPP) data estimated by the CASA model, this study conducted a quantitative analysis of the ecosystem’s resilience and comprehensively reflected its resilience from multiple dimensions. Furthermore, a comprehensive resilience index was constructed. The result showed that plain oasis’s ecosystem resilience is the highest, followed by deserts and mountainous areas. From the perspective of vegetation types, the highest resilience is artificial vegetation and the lowest is forest. In warm deserts, the resilience is higher in shrubs and meadows and lower in grassland vegetation. High coverage and biomass are not the same as the strong adaptability of the ecosystem. Moderate and slightly inelastic areas mainly dominate the ecosystem resilience of the study area. The new method is easy to use. The evaluation result is reliable. It can quantitatively analyze the resilience latitude and recovery rate, a beneficial improvement to the current ecosystem resilience evaluation.
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Fadeikina, N., and S. Malina. "Development of theoretical views on the categories «ecosystem» and «innovation ecosystem»." Siberian Financial School, no. 2 (June 10, 2021): 103–11. http://dx.doi.org/10.34020/1993-4386-2021-2-103-111.

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An ecosystem can be either a biogeocenosis created by nature, or an artificial environment created by man. Strong conceptual analogies can be drawn between the artificial environment, for example, the innovation ecosystem, and the biological ecosystem, which is demonstrated in this article, which shows the development of theoretical views on the categories of «ecosystem» (natural, biological) and «innovation ecosystem».
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Quan, Xiaohong Iris, and Jihong Sanderson. "Understanding the Artificial Intelligence Business Ecosystem." IEEE Engineering Management Review 46, no. 4 (December 2018): 22–25. http://dx.doi.org/10.1109/emr.2018.2882430.

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Caia, Margaux, Olivier Bernard, and Jean-Philippe Steyer. "Modelling an Artificial Microalgae-Cyanobacteria Ecosystem." IFAC-PapersOnLine 51, no. 2 (2018): 655–60. http://dx.doi.org/10.1016/j.ifacol.2018.03.111.

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Rudak, Viktorija. "ARGUMENTATION TEACHING EXPLORING ARTIFICIAL ECOSYSTEM-AQUARIUM." Natural Science Education in a Comprehensive School (NSECS) 24, no. 1 (April 15, 2018): 56–66. http://dx.doi.org/10.48127/gu/18.24.56.

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Argumentation is essential in many sciences. For example, in mathematics it is sought to prove all new statements, theories, tasks, answers. There is also argumentation in biology science to explore ant prove molecular processes in the cell, the process of life evolution. Argumentation has widely explored in logic science, psychology, philosophy, and philology. The ability to argue logically and reasonably is also important in the everyday life of a person. Each of us every day provides some arguments for communicating with family members, colleagues, friends and any other person. Because of that argumentation is one of the essential components of our life. Therefore, it can be said that the ability to argue for a modern person is important because, by being able to provide logical arguments, he will be able to communicate successfully with other people. Looking from the perspective of the natural sciences, the argumentation in this science is no less important than in the sciences mentioned above. It plays an important role in science education. Such argumentation skills are useful in developing a “deep” perception and sound conclusions, especially when dealing with controversial approaches. Moreover, participation in argumentation, direct submission of arguments reinforces conceptual understanding. Scientists claim that ten-year-old child’s thinking has been already fluent, so ten-year-olds can take on more complex cognitive tasks. It means that in carrying out the task in the middle childhood, the child is able to give a logical conclusion, which indicates the ability to argue, to provide evidence, to justify the answer. Therefore, one can conclude that primary school pupils can be successfully trained in argumentation while teaching natural science content. The article presents the results received from analysis of the pupil’s answers which were given while exploring artificial ecosystem-aquarium. The article outlines how students are able to argue during exploration of the artificial ecosystem-aquarium. Keywords: argumentation in primary education, aquarium exploration, argumentation in science education.
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Werner, Christiane, Laura K. Meredith, S. Nemiah Ladd, Johannes Ingrisch, Angelika Kübert, Joost van Haren, Michael Bahn, et al. "Ecosystem fluxes during drought and recovery in an experimental forest." Science 374, no. 6574 (December 17, 2021): 1514–18. http://dx.doi.org/10.1126/science.abj6789.

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An experimental forest ecosystem drought Drought is affecting many of the world’ s forested ecosystems, but it has proved challenging to develop an ecosystem-level mechanistic understanding of the ways that drought affects carbon and water fluxes through forest ecosystems. Werner et al . used an experimental approach by imposing an artificial drought on an entire enclosed ecosystem: the Biosphere 2 Tropical Rainforest in Arizona (see the Perspective by Eisenhauer and Weigelt). The authors show that ecosystem-scale plant responses to drought depend on distinct plant functional groups, differing in their water-use strategies and their position in the forest canopy. The balance of these plant functional groups drives changes in carbon and water fluxes, as well as the release of volatile organic compounds into the atmosphere. —AMS
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Tundisi, JG, T. Matsumura-Tundisi, and JEM Tundisi. "Reservoirs and human well being: new challenges for evaluating impacts and benefits in the neotropics." Brazilian Journal of Biology 68, no. 4 suppl (November 2008): 1133–35. http://dx.doi.org/10.1590/s1519-69842008000500020.

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As in many other continents, neotropical ecosystems are impacted by the construction of reservoirs. These artificial ecosystems change considerably the natural terrestrial and aquatic ecosystems and their biodiversity. The multiple uses of reservoirs promote benefits for the human beings in terms of economic development, income, jobs and employment. Services of reservoirs are important assets for the regional ecosystem. Evaluation of ecosystem services produced by artificial reservoirs, are new challenges to the understanding of the cost/benefit relationships of reservoir construction in the neotropics. Regulating and other services promoted by reservoirs lead to new trends for "green technology" and the implementation of ecohydrological and ecotechnological developments. This approach can be utilized with better success as a substitute for the usual impact/benefit evaluation of the reservoirs. Better and diversified services can be achieved with "green technology" applied to the construction.
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Dissertations / Theses on the topic "Artificial Ecosystem"

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Niraula, Bikram Kumar, and Aregai Tecle. "Ecosystem Impacts of Artificial Snowmaking at Arizona Snowbowl." Arizona-Nevada Academy of Science, 2006. http://hdl.handle.net/10150/296662.

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Parrott, Lael. "The EcoCyborg project : a model of an artificial ecosystem." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23696.

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A model of an artificial ecosystem has been formulated for use as a tool to investigate the dynamics of autonomous biosystems. The model is part of a composite model of an EcoCyborg which consists of an ecosystem and its control system, both of which are contained inside a cylindrical space station. The objectives of this project were to design a model of the ecosystem, and to develop a method for its creation and implementation within the overall framework of the EcoCyborg Project.
The modeling approach that has been adopted for the ecosystem model is individual-based and object-oriented. This enables the inclusion of a description of the abiotic environment, as well as of the organisms that inhabit it. A total of 1000 species representing a range of taxonomic groups may be modeled. Individuals in each species are described by their behaviours and phenotypic traits.
The ecosystem model will be linked with the other components of the EcoCyborg model in a multi-process simulation under OS/2 Warp. The behaviour of the system will be studied to elucidate preliminary guidelines for the design, maintenance and control of complex systems.
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Vulli, Srinivasa Shivakar. "Individual-based artificial ecosystems for design and optimization." Diss., Rolla, Mo. : University of Missouri--Rolla [sic] [Missouri University of Science and Technology], 2008. http://scholarsmine.mst.edu/thesis/pdf/Vulli_09007dcc804c5b3b.pdf.

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Thesis (M.S.)--Missouri University of Science and Technology, 2008.
Vita. The entire thesis text is included in file. Title from title screen of thesis/dissertation PDF file (viewed April 18, 2008) Degree granted by Missouri University of Science and Technology, formerly known as University of Missouri-Rolla. Includes bibliographical references (p. 67-73).
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Gillespie, Benjamin Robert. "Impacts of flow regulation and Artificial Floods in an upland stream ecosystem." Thesis, University of Leeds, 2014. http://etheses.whiterose.ac.uk/8017/.

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Mitigation of ecological impacts associated with stream regulation is now a legislative priority and Artificial Floods have been suggested as a potential tool to achieve this aim. However, understanding of the impacts of stream regulation and Artificial Floods on downstream ecology is currently limited. This thesis provides detailed reviews of both of these topics and identifies key contemporary research priorities. These priorities were subsequently addressed through assessment of the impact of stream regulation and Artificial Floods on downstream hydrology, physical chemistry, coarse sediment transport and benthic macroinvertebrates in an upland subcatchment of the River Humber, UK. Evidence that regulation was associated with significant impacts on hydrology (e.g. flood frequency, rate of change), physical chemistry (particularly flood pH and diurnal stream temperature range) and macroinvertebrates was identified, but impacts were found to vary spatially and temporally, indicating the importance of site specific and temporal factors. Control of hydrological characteristics was demonstrated during Artificial Floods which generally resulted in reductions of electrical conductivity, dissolved oxygen and pH and no change in stream temperature. Evidence for coarse sediment transport in line with overspill events prior to Artificial Floods was identified, but little evidence for change in macroinvertebrate assemblage was found. Evidence for the use of Artificial Floods as a management tool was greatest for coarse sediment transport and pH but overall, limited potential was demonstrated, bringing into question their validity as management techniques in some regulated streams and provoking requirement for further research. The findings of this thesis, methodological developments, conceptual advances and recommendations are therefore considered to have advanced the science and understanding of regulated stream management. Such progress is vital in this rapidly developing research field.
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Billings, Dr Donald G. "Disruptive Innovation Within the Legal Services Ecosystem." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7119.

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Most law firms have done little to address the opportunities and threats related to potentially disruptive technology (DT), such as artificial intelligence (AI) and machine learning (ML). The purpose of this multiple case study was to explore strategies that law firm leaders in the United States used to address the potentially detrimental influences of DT, such as AI and ML, on their organizations. The systems approach to management was employed as the conceptual framework. Data were collected from 6 participants at 2 international law firms with offices in California using semistructured interviews and organizational artifacts. Data were analyzed using Miles, Huberman, and Saldana's data analysis method, resulting in 4 themes: recognizing the legal ecosystem and legal firms are open systems, but organizational subsystems often function as semiclosed systems; acknowledging that while DT represents the most significant potential challenge in the near future, the immediate challenge is improving technology, which requires organizational adjustments; recognizing the need for firms to invest more heavily in innovation generation activities; and realizing the need for increased utilization of augmenting technologies, such as AI or ML, to streamline nonadvisory outputs. The findings of this study might support best practices for addressing DT and contribute to social change by outlining ways in which firms can lower costs to clients while increasing access to legal services for those in underserved communities.
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Asgari, Aliakbar. "Simulation of Collective Intelligence of a Multi-Species Artificial Ecosystem Based on Energy Flow." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31796.

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Collective intelligence (CI) emerges from local coordination, collaboration and competition among the individuals within a social group. CI mainly results in a global intelligent behavior. One of the fundamental interactional channels within a CI system is energy flow. Each agent within an artificial or physical ecosystem must absorb energy in order to survive, evolve, breed, and reshape its local environment. In addition because the energy resources are limited in the environment, each agent has to compete with other agents to reach the required level of energy. Understanding the internal energy flow can potentially provide a deep insight into internal activities and external emergent behaviors of a given complex system. This study proposes a stochastic scheme for modeling a multi-species prey-predator artificial ecosystem with two levels of food chain. This will enable us to investigate the influence of energy flow on the ecosystem’s lifetime. The proposed model consists of a stationary hosting environment with dynamic weather condition and fruit trees. The inhabitants of this ecosystem are herbivore and carnivore birds each consisting of species. In our model, the collective behavior emerges in terms of flocking with more added rules consist of breeding, competing, resting, hunting, escaping, seeking and foraging behaviors. Using multi-species scheme, we define the ecosystem as a combination of prey and predator species with inter-competition among species within same level of food chain and intra-competition among those belonging to different levels of food chain. Furthermore, in order to model the energy within the ecosystem, some energy variables as functions of behaviors are incorporated in to the model. Finally, a simulation and visualization structure for implementing the proposed model is developed in this study. The experimental results of 11,000 simulations analyzed by Cox univariate analysis and hazard function suggest that only five out of eight behaviors can statistically significant influence the ecosystem’s lifetime. Furthermore, the results of survival analysis show that out of all possible interactions among energy factors, only two of them, interaction between flocking and seeking energies, and interaction between flocking and hunting energies, have statistically significant impact on the system’s lifetime. In addition, software implementation of the proposed framework validates the stability of simulation and visualization architecture. At last regression results using Nelson-Aalen cumulative hazard function and Cox-Snell variable and scaled Schoenfeld residuals test strongly validate our experimental results. To the best of our knowledge, there are three contributions in this research: First, the high level of complexity in the structure of the proposed model in comparison with the other systems which mostly contains only one species of prey, one species of predator and a kind of resource. While this study introduces two species of prey, capability of competition among species, dynamic weather condition with two element of wind and rain and dynamic resources, various behavioral rules such as escaping, breeding, hunting, resting, etc. Energy flow analysis within an artificial ecosystem is the second contribution. To the best of author’s knowledge there is no similar comprehensive model in the previous literature that investigates the life span of a stochastic multi-species predator-prey artificial ecosystem based on energy flow using Survival Analysis method. Lastly, the simulation results show that the flocking and seeking energy and flocking and hunting energy interactions are the most significant interactions which match with the Thompson iii et al. [ 65] observations in the real life. Their findings indicate that in the real life, birds use flocking behavior for better movement, more efficient food searching and social learning. Flocking motion also decrease predation risk as much as the flock size increases.
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Rouse, Sally. "Quantifying benthic secondary productivity on artificial structures : maximising the benefit of marine renewable energy devices." Thesis, University of Aberdeen, 2016. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=231790.

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Marine renewable energy developments (MRED) will result in large quantities of infrastructure being deployed in coastal habitats, and the localised exclusion of fishing. The ecological consequences of this scale of deployment are largely unknown, particularly for benthic species. Infrastructure has the capacity to act as artificial reefs (ARs), providing novel habitat, and this may viewed as a benefit of MRED, or a means to mitigate the exclusion of fishing. At present, the functioning of AR ecosystems remains poorly understood. As a measure of ecosystem function, secondary productivity can be used to assess the implications of MRED. The lack of suitable methodology, deployable at relevant scales within time and/or cost constraints, has limited benthic secondary productivity (BSP) quantifications on ARs. Techniques to measure potential BSP and particle flux were developed and applied to the Loch Linnhe Artificial Reef (functionally similar to scour protection material). Variations in BSP and mobile epifaunal densities on, and between, structures in different environments were quantified. Reefs exposed to intermediate current had the highest potential productivity. The BSP on internal areas of structures contributed to the total productive output, but the relative contribution varied according to reef location and design. BSP was primarily determined by particle supply, but the response was not consistent among locations. Mobile epifaunal densities related to reef location, but not reef design, and were highest on reefs in the deepest water and exposed to the fastest currents. The evidence presented in this thesis highlights the need to account for the receiving environment when predicting the ecological consequences of MRED, or when modelling the productive capacity of structures. Such information can be used to suggest modifications to proposed or existing structures in order to maximise their benefit to coastal ecosystems.
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Guigou, Fabio. "The artificial immune ecosystem : a scalable immune-inspired active classifier, an application to streaming time series analysis for network monitoring." Thesis, Strasbourg, 2019. http://www.theses.fr/2019STRAD007/document.

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Introduits au début des années 1990, les systèmes immunitaires artificiels visent à adapter les propriétés du système immunitaire biologique, telles que sa scalabilité et son adaptivité, à des problèmes informatiques : sécurité, mais également optimisation et classification. Cette thèse explore une nouvelle direction en se concentrant non sur les processus biologiques et les cellules elles-mêmes, mais sur les interactions entre les sous-systèmes. Ces modes d’interaction engendrent les propriétés reconnues du système immunitaire : détection d’anomalies, reconnaissance des pathogènes connus, réaction rapide après une exposition secondaire et tolérance à des organismes symbiotiques étrangers. Un ensemble de systèmes en interaction formant un écosystème, cette nouvelle approche porte le nom d’Écosystème Immunitaire Artificiel. Ce modèle est mis à l’épreuve dans un contexte particulièrement sensible à la scalabilité et à la performance : la supervision de réseaux, qui nécessite l’analyse de séries temporelles en temps réel avec un expert dans la boucle, c’est-à-dire en utilisant un apprentissage actif plutôt que supervisé
Since the early 1990s, immune-inspired algorithms have tried to adapt the properties of the biological immune system to various computer science problems, not only in computer security but also in optimization and classification. This work explores a different direction for artificial immune systems, focussing on the interaction between subsystems rather than the biological processes involved in each one. These patterns of interaction in turn create the properties expected from immune systems, namely their ability to detect anomalies, memorize their signature to react quickly upon secondary exposure, and remain tolerant to symbiotic foreign organisms such as the intestinal fauna. We refer to a set of interacting systems as an ecosystem, thus this new approach has called the Artificial Immune Ecosystem. We demonstrate this model in the context of a real-world problem where scalability and performance are essential: network monitoring. This entails time series analysis in real time with an expert in the loop, i.e. active learning instead of supervised learning
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Freitas, Juliana Ribeirão de. "Funcionamento dos ecossistemas e conservação biológica: poluição por luz artificial, oferecimento de serviços ecossistêmicos e diversidade funcional." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/106/106132/tde-11112016-185627/.

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O funcionamento dos ecossistemas é o fluxo de matéria e de energia ao longo dos seus componentes bióticos e abióticos. A manutenção de tal funcionamento é crucial para promover os serviços ecossistêmicos dos quais a humanidade depende. Atividades antrópicas, como a agricultura e a urbanização podem alterá-los significativamente e, por isso, o entendimento dos impactos positivos e negativos de tais alterações bem como o desenvolvimento de ferramentas de avaliação da biodiversidade são importantes para a conservação. A diversidade funcional é um componente da diversidade biológica que leva em conta o papel que cada espécie desempenha no ecossistema e, portanto, deve refletir o funcionamento do ecossistema de forma mais acurada. Esta tese teve por objetivos relacionar o funcionamento do ecossistema e os seus serviços a ações antrópicas, bem como propor a abordagem funcional como indicadora da biodiversidade de áreas naturais. No primeiro capítulo, avalio padrões espaciais e temporais da exposição dos tipos de vegetação que ocorrem no Brasil à luz artificial, um dos principais símbolos da urbanização e da vida moderna. Os resultados mostram que a maioria deles apresenta alguma porcentagem de sua área expostos à luz artificial. Em alguns deles, porém, ainda é possível encontrar o brilho natural do céu noturno, o que nos permite sugerir a elaboração de políticas de desenvolvimento de distribuição de luz com foco no mínimo impacto, ao contrário das políticas de mitigação adotadas por países onde a iluminação é excessivamente difundida. No segundo capítulo mapeio padrões espaciais e temporais da provisão de dois serviços ecossistêmicos (polinização e estoque de carbono) e um serviço ambiental (espaço para viver) e avalio os impactos da agricultura sobre estes serviços, na área coberta pelo cerrado, na região central do Brasil. Os serviços ecossistêmicos avaliados descaíram significativamente ao longo do tempo e a região conhecida como MATOPIBA (entre os estados do Maranhão, Tocantins, Piauí e Bahia) foi identificada como um importante remanescente. Por isso, recomendo a criação de unidades de conservação de proteção integral na área. Identifiquei também sobreposição da disponibilidade destes serviços com áreas indígenas, o que ressalta a importância da manutenção destas áreas para a disponibilidade dos serviços. No terceiro capítulo exploro, por meio de revisão bibliográfica, o status da diversidade funcional na literatura científica no campo da Conservação Biológica. Os resultados permitiram visualizar o paradigma da transferência de conhecimento e identificar o potencial desta abordagem para elaboração de indicadores da biodiversidade. Por fim, no quarto capítulo, estabeleço uma lista de espécies de plantas que podem ser indicadoras da diversidade funcional em áreas cobertas por cerradão no estado de São Paulo. Tais indicadores devem ser usados em conjunto para monitoramento e diagnóstico da biodiversidade quando o objetivo é manter o funcionamento do ecossistema. As conclusões do estudo contribuem para elucidar a interferência das atividades antrópicas nos ecossistemas naturais, para levantar formas de minimizá-los e para aprimorar as formas de avaliação da biodiversidade.
Ecosystem functioning is the flow of energy and matter through the biotic and abiotic ecosystems components. The maintenance of this functioning is essential to the ecosystem services provisioning upon which humans depend. Anthropogenic activities such as agriculture and urbanisation may change it. Thus, conservation strategies rely on the understanding of the positives and negatives impacts from this changes and on the development of measurements of biodiversity. Functional diversity is a biodiversity component which considers the role of each species in the ecosystem, and, as a consequence, may reflect the ecosystem functioning more accurately. This thesis aims the establishment of the relationships between ecosystem functioning, ecosystem services and anthrogenic activities as well as purpose functional approach as biodiversity indicator of natural areas. In the first chapter, I assessed spatial and temporal patterns of exposition of the Brazilian vegetation types to the artificial light which is one of the urbanisation symbols. The results show that most of them are affected by artificial light. However, in some of them it is still possible to find a natural sky background, which allow suggesting the formulation of light distribution policies focused on minimal impact instead of mitigation, as adopted by countries where light is excessively widespread. In the second chapter, I mapped spatial and temporal patterns of two ecosystem services provisioning (pollination and carbon stocks) and one environmental service (living space) and assessed the impacts of agriculture in these services in Cerrado area, in the central region of Brazil. The ecosystem services I assessed declined significatively over time and the MATOPIBA region (around Maranhão, Tocantins, Piaui, and Bahia States) was identified as an important remint. Thus I recommended the creation of strictly protected areas in that region. I also identify overlap of these services with indigenous land, highlighting its importance for the ecosystem services provisioning. In the third chapter I explored through literature survey, the status of functional diversity in the scientific literature related to the Biological Conservation field. The results allow visualise the paradigm of knowledge transfer and identify the potential use of this approach for developing indicators of biodiversity. Finally, in the fourth chapter, we established a list of plant species that are functional diversity indicators in cerradão areas in São Paulo State. These indicators should be use as a set for the monitoring and diagnosis of biodiversity when the goal is to maintaining ecosystem functioning. The conclusions of the study contribute to clarify some lack of knowledge concerned to the impacts of human activities on ecosystem functioning, to raise means to minimise them, and to improve means of ecological integrity assessment.
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Drexler, Michael. "Population Biology, Ecology, and Ecosystem Contributions of the Eastern Oyster (Crassostrea virginica) from Natural and Artificial Habitats in Tampa Bay, Florida." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3081.

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The objective of this project was to document the status of oysters, Crassostrea virginica, from non-reef habitats throughout Tampa Bay, Florida, and assess the ecosystem contributions of those populations relative to reef-dwelling oysters. The aspects of oyster ecology studied here include condition, prevalence and intensity of disease (Perkinsus marinus - dermo), reproductive activity (including stage, fecundity, and juvenile recruitment), adult oyster density, and the faunal community associated with the oysters. The predominant source of variation was seasonal, with lesser contributions among sites, and in most cases, little or no effect of the habitat type. Oysters populations from each habitat recruit juvenile oysters, produce mature individuals, and contribute viable gametes at the same magnitude with similar seasonality. The associated faunal communities were also largely similar between habitats at any given site. Measures of oyster density, combined with estimates of the total available habitat, suggest that natural oyster reefs may represent only a small portion of the total oyster community in Tampa Bay, while oysters associated with mangrove habitats and seawalls are probably the most abundant in the bay. Additional mapping and quantification of these habitats would help to define their bay-wide ecosystem-services value. Restoration projects, though small in size relative to other habitats, do provide alternative and additional habitat with comparable value to other oyster-bearing habitats.
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Books on the topic "Artificial Ecosystem"

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COSPAR. Scientific Commission F. F4.4 Symposia. Life sciences : artificial ecosystems. Oxford: Published for the Committee on Space Research [by] Pergamon, 1999.

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Regional Seminar on Earth Observation for Tropical Ecosystem Management (7th 1998 Dhaka, Bangladesh). Remote sensing for tropical ecosystem management: Proceedings of the Seventh Regional Seminar on Earth Observation for Tropical Ecosystem Management, Dhaka, Bangladesh, 7-11 December 1998. New York: United Nations, 1999.

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Gooding, T. Computer simulation comparisons between an ecosystem management strategy and clear-cutting with artificial regeneration for a forest in northwestern Ontario. Sault Ste. Marie, Ont: Great Lakes Forestry Centre, 1996.

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Regional, Seminar on Earth Observation for Tropical Ecosystem Management (8th 1999 Yangon Myanmar). Remote sensing for tropical ecosystem management: Proceedings of the Eighth Regional Seminar on Earth Observation for Tropical Ecosystem Management, Yangon, Myanmar, 25-29 October 1999. New York: United Nations, 2000.

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Pickering, H. Artificial reefs as a tool to aid rehabilitation of coastal ecosystems: Investigating the potential. Portsmouth: Centre for the Economics and Management of Aquatic Resources, University of Portsmouth, 1998.

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Cushing, C. E. Radionuclide accumulation by aquatic biota exposed to contaminated water in artificial ecosystems before and after its passage through the ground. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1988.

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Cushing, C. E. Radionuclide accumulation by aquatic biota exposed to contaminated water in artificial ecosystems before and after its passage through the ground. Washington, DC: Division of Engineering, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1988.

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Assembly, COSPAR Scientific. Natural and artificial ecosystems: Proceedings of the F4.1, F4.2, F4.5, F4.7, F4.8 and F4.9 meetings of COSPAR Scientifi Assembly, Hamburg, Germany, 11-21 July 1994. Oxford: Elsevier Science, 1995.

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Fujii, Toyonobu, Daniel Joseph Pondella, Andrew James Guerin, and Victoria Louise Georgia Todd, eds. Seafloor Heterogeneity: Artificial Structures and Marine Ecosystem Dynamics. Frontiers Media SA, 2020. http://dx.doi.org/10.3389/978-2-88963-848-2.

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Decision support systems for ecosystem management: An evaluation of existing systems. Fort Collins, Colo: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1997.

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Book chapters on the topic "Artificial Ecosystem"

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Halavati, Ramin, and Saeed Bagheri Shouraki. "Zamin: An Artificial Ecosystem." In Lecture Notes in Computer Science, 1008–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36087-5_116.

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Strannegård, Claes, Niklas Engsner, Pietro Ferrari, Hans Glimmerfors, Marcus Hilding Södergren, Tobias Karlsson, Birger Kleve, and Victor Skoglund. "The Ecosystem Path to AGI." In Artificial General Intelligence, 269–78. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93758-4_28.

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McCormack, Jon. "Eden: An Evolutionary Sonic Ecosystem." In Advances in Artificial Life, 133–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44811-x_13.

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Miozzo, Maurizio, Antonio Sgorbissa, and Renato Zaccaria. "The Artificial Ecosystem: A Multiagent Architecture." In Intelligent Data Engineering and Automated Learning, 52–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45080-1_7.

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Penn, Alexandra. "Modelling Artificial Ecosystem Selection: A Preliminary Investigation." In Advances in Artificial Life, 659–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39432-7_71.

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Kim, Haesik. "Artificial Intelligence Ecosystem, Techniques, and Use Cases." In Artificial Intelligence for 6G, 15–33. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95041-5_2.

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Xia, Zhengyou, and Yichuan Jiang. "A Novel Artificial Life Ecosystem Environment Model." In Lecture Notes in Computer Science, 650–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30479-1_67.

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Klimek, Radosław, and Grzegorz Rogus. "Proposal of a Context-Aware Smart Home Ecosystem." In Artificial Intelligence and Soft Computing, 412–23. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19369-4_37.

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Dyke, James, Jamie McDonald-Gibson, Ezequiel Di Paolo, and Inman Harvey. "Increasing Complexity Can Increase Stability in a Self-Regulating Ecosystem." In Advances in Artificial Life, 133–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74913-4_14.

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Brewster, Jon, and Michael Conrad. "Evolve IV: A metabolically-based artificial ecosystem model." In Lecture Notes in Computer Science, 473–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0040799.

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Conference papers on the topic "Artificial Ecosystem"

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Ilgün, Asya, Kostadin Angelov, Martin Stefanec, Sarah Schönwetter-Fuchs, Valerin Stokanic, Jutta Vollmann, Daniel N. Hofstadler, et al. "Bio-Hybrid Systems for Ecosystem Level Effects." In The 2021 Conference on Artificial Life. Cambridge, MA: MIT Press, 2021. http://dx.doi.org/10.1162/isal_a_00396.

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Ouannes, Nesrine, NourEddine Djedi, Yves Duthen, and Hervé Luga. "A Predator-Prey Scenario in a Virtual Ecosystem." In European Conference on Artificial Life 2015. The MIT Press, 2015. http://dx.doi.org/10.7551/978-0-262-33027-5-ch082.

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Dorin, Alan, Hazel Parry, and James Cook. "Towards Guidelines for Mechatronic Ecosystem Monitoring and Management." In The 2021 Conference on Artificial Life. Cambridge, MA: MIT Press, 2021. http://dx.doi.org/10.1162/isal_a_00393.

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Choviwatana, Palin, Shota Ejima, Mizuki Oka, and Takashi Ikegami. "Web as an Evolutionary Ecosystem: Emergence of Keystone Species." In The 2020 Conference on Artificial Life. Cambridge, MA: MIT Press, 2020. http://dx.doi.org/10.1162/isal_a_00263.

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Punithan, Dharani, and RI McKay. "Collective Dynamics and Homeostatic Emergence in Complex Adaptive Ecosystem." In European Conference on Artificial Life 2013. MIT Press, 2013. http://dx.doi.org/10.7551/978-0-262-31709-2-ch049.

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Sgorbissa, A., and R. Zaccaria. "The artificial ecosystem: a distributed approach to service robotics." In IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004. IEEE, 2004. http://dx.doi.org/10.1109/robot.2004.1308800.

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Adham, Manal T., and Peter J. Bentley. "Artificial Ecosystem Algorithm Applied to Multi-Line Steel Scheduling." In 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2019. http://dx.doi.org/10.1109/cec.2019.8790320.

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Mahayekhi, Morteza, Abbas Golestani, Yasaman Farahani, and Robin Gras. "n Enhanced Artificial Ecosystem: Investigating Emergence of Ecological Niches." In Artificial Life 14: International Conference on the Synthesis and Simulation of Living Systems. The MIT Press, 2014. http://dx.doi.org/10.7551/978-0-262-32621-6-ch111.

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Gronman, J., M. Saarivirta, T. Aaltonen, and T. Kerminen. "Review of Artificial Intelligence Applications in the ROS Ecosystem." In 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO). IEEE, 2021. http://dx.doi.org/10.23919/mipro52101.2021.9596787.

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Vincent, Lena, Kalin Vetsigian, and David Baum. "A Chemical Ecosystem Selection Approach for Generating Evolvable Chemical Systems." In The 2018 Conference on Artificial Life. Cambridge, MA: MIT Press, 2018. http://dx.doi.org/10.1162/isal_a_00118.

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Reports on the topic "Artificial Ecosystem"

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Browne, Josh. Efficient partnership models for energy technology startups enabled by artificial intelligence that hyper-targets ecosystem connectivity. Office of Scientific and Technical Information (OSTI), June 2021. http://dx.doi.org/10.2172/1804464.

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Foster, Dakota, and Zachary Arnold. Antitrust and Artificial Intelligence: How Breaking Up Big Tech Could Affect the Pentagon’s Access to AI. Center for Security and Emerging Technology, May 2020. http://dx.doi.org/10.51593/20190025.

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While AI innovation would presumably continue in some form without Big Tech, the authors find that breaking up the largest technology companies could fundamentally change the broader AI innovation ecosystem, likely affecting the development of AI applications for national security.
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Mehmood, Hamid, Surya Karthik Mukkavilli, Ingmar Weber, Atsushi Koshio, Chinaporn Meechaiya, Thanapon Piman, Kenneth Mubea, Cecilia Tortajada, Kimberly Mahadeo, and Danielle Liao. Strategic Foresight to Applications of Artificial Intelligence to Achieve Water-related Sustainable Development Goals. United Nations University Institute for Water, Environment and Health, April 2020. http://dx.doi.org/10.53328/lotc2968.

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The report recommends that: 1) Policymakers should conduct holistic assessments of social, economic, and cultural factors before AI adoption in the water sector, as prospective applications of AI are case- specific. It is also important to conduct baseline studies to measure the implementation capacity, return on investment, and impact of intervention. 2) To ensure positive development outcomes, policies regarding the use of AI for water-related challenges should be coupled with capacity and infrastructure development policies. Capacity development policies need to address the AI and Information and Communications Technology (ICT) needs for the AI-related skill development of all water-related stakeholders. Infrastructure development policies should address the underlying requirements of computation, energy, data generation, and storage. The sequencing of these policies is critical. 3) To mitigate the predicted job displacement that will accompany AI-led innovation in the water sector, policies should direct investments towards enabling a skilled workforce by developing water sector-related education at all levels. This skilled workforce should be strategically placed to offset dependency on the private sector. 4) Water-related challenges are cross-cutting running from grassroots to the global level and require an understanding of the water ecosystem. It is important for countries connected by major rivers and watersheds to collaborate in developing policies that advance the use of AI to address common water-related challenges. 5) A council or agency with representation from all stakeholders should be constituted at the national level, to allow for the successful adoption of AI by water agencies. This council or agency should be tasked with the development of policies, guidelines, and codes of conduct for the adoption of AI in the water-sector. These key policy recommendations can be used as primary guidelines for the development of strategies and plans to use AI to help achieve water-related SDGs.
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Chahal, Husanjot, Sara Abdulla, Jonathan Murdick, and Ilya Rahkovsky. Mapping India’s AI Potential. Center for Security and Emerging Technology, March 2021. http://dx.doi.org/10.51593/20200096.

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With its massive information technology workforce, thriving research community and a growing technology ecosystem, India has a significant stake in the development of artificial intelligence globally. Drawing from a variety of original CSET datasets, the authors evaluate India’s potential for AI by examining its progress across five categories of indicators pertinent to AI development: talent, research, patents, companies and investments, and compute.
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Langenkamp, Max, and Melissa Flagg. AI Hubs: Europe and CANZUK. Center for Security and Emerging Technology, April 2021. http://dx.doi.org/10.51593/20200061.

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U.S. policymakers need to understand the landscape of artificial intelligence talent and investment as AI becomes increasingly important to national and economic security. This knowledge is critical as leaders develop new alliances and work to curb China’s growing influence. As an initial effort, an earlier CSET report, “AI Hubs in the United States,” examined the domestic AI ecosystem by mapping where U.S. AI talent is produced, where it is concentrated, and where AI private equity funding goes. Given the global nature of the AI ecosystem and the importance of international talent flows, this paper looks for the centers of AI talent and investment in regions and countries that are key U.S. partners: Europe and the CANZUK countries (Canada, Australia, New Zealand, and the United Kingdom).
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Tronstad, Lusha. Aquatic invertebrate monitoring at Agate Fossil Beds National Monument: 2019 data report. National Park Service, April 2022. http://dx.doi.org/10.36967/nrds-2293128.

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Monitoring ecosystems is vital to understanding trends over time and key to detecting change so that managers can address perturbations. Freshwater streams are the lifeblood of the surrounding landscape, and their health is a measure of the overall watershed integrity. Streams are the culmination of upland processes and inputs. Degradation on the landscape as well as changes to the stream itself can be detected using biota living in these ecosystems. Aquatic invertebrates are excellent indicators of ecosystem quality because they are relatively long-lived, sessile, diverse, abundant and their tolerance to perturbation differs. Aquatic invertebrates were monitored at three sites along the Niobrara River at Agate Fossil Beds National Monument in 2019 completing 23 years of data using Hester-Dendy and Hess samplers. Hess samplers are artificial multi-plate samplers suspended in the water column to allow invertebrates to colonize and Hess samples collect invertebrates in a known area on natural substrate and vegetation. We identified 45 invertebrate taxa from four phyla (Annelida, Arthropoda, Mollusca, Nematoda) using both samplers in the Niobrara River (Appendix A and B). Hester-Dendy samplers collected 4 taxa not found in Hess samples and Hess samples collected 17 taxa not collected with Hester-Dendy samplers. Hess samples captured more (91%) than Hester-Dendy samples (62%). Crustacea, Diptera and Ephemeroptera were the most abundant groups of invertebrates collected in the Niobrara River. The proportion of Insecta, Annelida, Trichoptera and Diptera differed between Hester-Dendy and Hess samples (p < 0.05). EPT richness, proportion EPT taxa and Hilsenhoff’s Biotic Index (HBI) (p < 0.0001) differed between sampler types, but taxa richness, taxa diversity and evenness (p > 0.29) did not. We collected the highest density of invertebrates at the Agate Middle site. Agate Spring Ranch had the lowest taxa richness and HBI, and the highest proportion of EPT taxa. HBI at the sites ranged from 4.0 to 6.3 (very good to fair from Hilsenhoff 1987) using the Hester-Dendy and 5.2 to 6.9 (good to fairly poor from Hilsenhoff 1987) using the Hess sampler.
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Veland, Siri, and Christine Merk. Lay person perceptions of marine carbon dioxide removal (CDR) – Working paper. OceanNETs, July 2021. http://dx.doi.org/10.3289/oceannets_d3.3.

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This working paper presents first insights on lay public perceptions of marine carbon dioxide removal (CDR) approaches. In seven focus groups, three in Germany and four in Norway (including one pilot) the researchers asked members of the lay public to share their views of the ocean and the effects of climate change, four CDR approaches, as well as their reflections on responsible research and innovation (RRI) of marine CDR. The four CDR methods were ocean iron fertilization, ocean alkalinity enhancement, artificial upwelling, and blue carbon management through restoration of coastal and marine ecosystems. In addition, respondents were asked to compare the four approaches. Our findings indicate that the public will be very supportive of blue carbon management irrespective of its actual carbon sequestration potential, due in part to the perceived bad state of marine ecosystems worldwide. Participants were skeptical whether any of the CDR approaches could have relevant effect on carbon sequestration and long-term storage; they reasoned about issues such as the ability to scale up treatments in time and space, unforeseen or unforeseeable effects on ecosystems in time and space, and the role of industry in the implementation process. They argued that despite the potential availability of marine CDR, industry and the general public should stop polluting behaviors and practices. Nevertheless, the participants universally agreed that further research on all four CDR methods should be pursued to better understand effects on climate, ecosystems, local communities, and the economy.
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