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Dive into the research topics where Nicolas Chaumont is active.

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Featured researches published by Nicolas Chaumont.


Ecology Letters | 2013

Forest bolsters bird abundance, pest control and coffee yield

Daniel S. Karp; Chase D. Mendenhall; Randi F. Sandi; Nicolas Chaumont; Paul R. Ehrlich; Elizabeth A. Hadly; Gretchen C. Daily

Efforts to maximise crop yields are fuelling agricultural intensification, exacerbating the biodiversity crisis. Low-intensity agricultural practices, however, may not sacrifice yields if they support biodiversity-driven ecosystem services. We quantified the value native predators provide to farmers by consuming coffees most damaging insect pest, the coffee berry borer beetle (Hypothenemus hampei). Our experiments in Costa Rica showed birds reduced infestation by ~ 50%, bats played a marginal role, and farmland forest cover increased pest removal. We identified borer-consuming bird species by assaying faeces for borer DNA and found higher borer-predator abundances on more forested plantations. Our coarse estimate is that forest patches doubled pest control over 230 km2 by providing habitat for ~ 55 000 borer-consuming birds. These pest-control services prevented US


PLOS Computational Biology | 2011

Integrated Information Increases with Fitness in the Evolution of Animats

Jeffrey A. Edlund; Nicolas Chaumont; Arend Hintze; Christof Koch; Giulio Tononi; Christoph Adami

75-US


Proceedings of the National Academy of Sciences of the United States of America | 2015

Comanaging fresh produce for nature conservation and food safety

Daniel S. Karp; Sasha Gennet; Christopher Kilonzo; Melissa L. Partyka; Nicolas Chaumont; Edward R. Atwill; Claire Kremen

310 ha-year(-1) in damage, a benefit per plantation on par with the average annual income of a Costa Rican citizen. Retaining forest and accounting for pest control demonstrates a win-win for biodiversity and coffee farmers.


Artificial Life | 2007

Evolving Virtual Creatures and Catapults

Nicolas Chaumont; Richard Egli; Christoph Adami

One of the hallmarks of biological organisms is their ability to integrate disparate information sources to optimize their behavior in complex environments. How this capability can be quantified and related to the functional complexity of an organism remains a challenging problem, in particular since organismal functional complexity is not well-defined. We present here several candidate measures that quantify information and integration, and study their dependence on fitness as an artificial agent (“animat”) evolves over thousands of generations to solve a navigation task in a simple, simulated environment. We compare the ability of these measures to predict high fitness with more conventional information-theoretic processing measures. As the animat adapts by increasing its “fit” to the world, information integration and processing increase commensurately along the evolutionary line of descent. We suggest that the correlation of fitness with information integration and with processing measures implies that high fitness requires both information processing as well as integration, but that information integration may be a better measure when the task requires memory. A correlation of measures of information integration (but also information processing) and fitness strongly suggests that these measures reflect the functional complexity of the animat, and that such measures can be used to quantify functional complexity even in the absence of fitness data.


Marine Policy | 2015

Incorporating the visibility of coastal energy infrastructure into multi-criteria siting decisions

Robert J. Griffin; Nicolas Chaumont; Douglas Denu; Anne D. Guerry; Choong-Ki Kim; Mary Ruckelshaus

Significance Fresh produce has become the primary cause of foodborne illness in the United States. A widespread concern that wildlife vector foodborne pathogens onto fresh produce fields has led to strong pressure on farmers to clear noncrop vegetation surrounding their farm fields. We combined three large datasets to demonstrate that pathogen prevalence in fresh produce is rapidly increasing, that pathogens are more common on farms closer to land suitable for livestock grazing, and that vegetation clearing is associated with increased pathogen prevalence over time. These findings contradict widespread food safety reforms that champion vegetation clearing as a pathogen mitigation strategy. More generally, our work indicates that achieving food safety and nature conservation goals in produce-growing landscapes is possible. In 2006, a deadly Escherichia coli O157:H7 outbreak in bagged spinach was traced to California’s Central Coast region, where >70% of the salad vegetables sold in the United States are produced. Although no definitive cause for the outbreak could be determined, wildlife was implicated as a disease vector. Growers were subsequently pressured to minimize the intrusion of wildlife onto their farm fields by removing surrounding noncrop vegetation. How vegetation removal actually affects foodborne pathogens remains unknown, however. We combined a fine-scale land use map with three datasets comprising ∼250,000 enterohemorrhagic E. coli (EHEC), generic E. coli, and Salmonella tests in produce, irrigation water, and rodents to quantify whether seminatural vegetation surrounding farmland is associated with foodborne pathogen prevalence in California’s Central Coast region. We found that EHEC in fresh produce increased by more than an order of magnitude from 2007 to 2013, despite extensive vegetation clearing at farm field margins. Furthermore, although EHEC prevalence in produce was highest on farms near areas suitable for livestock grazing, we found no evidence of increased EHEC, generic E. coli, or Salmonella near nongrazed, seminatural areas. Rather, pathogen prevalence increased the most on farms where noncrop vegetation was removed, calling into question reforms that promote vegetation removal to improve food safety. These results suggest a path forward for comanaging fresh produce farms for food safety and environmental quality, as federal food safety reforms spread across ∼4.5 M acres of US farmland.


Archive | 2011

Integrated information increases with fitness in the simulated evolution of autonomous agents

Jeffrey A. Edlund; Nicolas Chaumont; Arend Hintze; Christof Koch; Giulio Tononi; Christoph Adami


Archive | 2006

Evolution of Virtual Catapults

Nicolas Chaumont; Richard Egli; Christoph Adami


arXiv: Neural and Evolutionary Computing | 2011

Evolution of sustained foraging in 3D environments with physics

Nicolas Chaumont; Christoph Adami


Genetic Programming and Evolvable Machines | 2016

Evolution of sustained foraging in three-dimensional environments with physics

Nicolas Chaumont; Christoph Adami


Artificial Life | 2010

Potential and Promise of Open-Ended Evolution in Artificial Life.

Nicolas Chaumont; Christoph Adami

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Christoph Adami

Michigan State University

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Arend Hintze

Michigan State University

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Jeffrey A. Edlund

California Institute of Technology

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Christof Koch

Allen Institute for Brain Science

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Daniel S. Karp

University of California

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Giulio Tononi

University of Wisconsin-Madison

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Richard Egli

Université de Sherbrooke

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