Green Jessica L.

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Jessica L.

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  • Article
    Complexity in ecology and conservation : mathematical, statistical, and computational challenges
    (American Institute of Biological Sciences, 2005-06) Green, Jessica L. ; Hastings, Alan ; Arzberger, Peter ; Ayala, Francisco J. ; Cottingham, Kathryn L. ; Cuddingham, Kim ; Davis, Frank ; Dunne, Jennifer A. ; Fortin, Marie-Josee ; Gerber, Leah ; Neubert, Michael G.
    Creative approaches at the interface of ecology, statistics, mathematics, informatics, and computational science are essential for improving our understanding of complex ecological systems. For example, new information technologies, including powerful computers, spatially embedded sensor networks, and Semantic Web tools, are emerging as potentially revolutionary tools for studying ecological phenomena. These technologies can play an important role in developing and testing detailed models that describe real-world systems at multiple scales. Key challenges include choosing the appropriate level of model complexity necessary for understanding biological patterns across space and time, and applying this understanding to solve problems in conservation biology and resource management. Meeting these challenges requires novel statistical and mathematical techniques for distinguishing among alternative ecological theories and hypotheses. Examples from a wide array of research areas in population biology and community ecology highlight the importance of fostering synergistic ties across disciplines for current and future research and application.
  • Article
    Toward a predictive understanding of Earth’s microbiomes to address 21st century challenges
    (American Society for Microbiology, 2016-05-13) Blaser, Martin J. ; Cardon, Zoe G. ; Cho, Mildred K. ; Dangl, Jeffery ; Donohue, Timothy J. ; Green, Jessica L. ; Knight, Rob ; Maxon, Mary E. ; Northen, Trent R. ; Pollard, Katherine ; Brodie, Eoin L.
    Microorganisms have shaped our planet and its inhabitants for over 3.5 billion years. Humankind has had a profound influence on the biosphere, manifested as global climate and land use changes, and extensive urbanization in response to a growing population. The challenges we face to supply food, energy, and clean water while maintaining and improving the health of our population and ecosystems are significant. Given the extensive influence of microorganisms across our biosphere, we propose that a coordinated, cross-disciplinary effort is required to understand, predict, and harness microbiome function. From the parallelization of gene function testing to precision manipulation of genes, communities, and model ecosystems and development of novel analytical and simulation approaches, we outline strategies to move microbiome research into an era of causality. These efforts will improve prediction of ecosystem response and enable the development of new, responsible, microbiome-based solutions to significant challenges of our time.