Search

Your search keyword '"Dunne, Jennifer A."' showing total 328 results
Start Over Author "Dunne, Jennifer A."
328 results on '"Dunne, Jennifer A."'

2. Food Webs

Author

Crabtree, Stefani A., Dunne, Jennifer A., Brughmans, Tom, book editor, Mills, Barbara J., book editor, Munson, Jessica, book editor, and Peeples, Matthew A., book editor

Published
2023
Full Text
View/download PDF

6. Ecogeographical rules and the macroecology of food webs

Author

Baiser, Benjamin, Gravel, Dominique, Cirtwill, Alyssa R, Dunne, Jennifer A, Fahimipour, Ashkaan K, Gilarranz, Luis J, Grochow, Joshua A, Li, Daijiang, Martinez, Neo D, McGrew, Alicia, Poisot, Timothée, Romanuk, Tamara N, Stouffer, Daniel B, Trotta, Lauren B, Valdovinos, Fernanda S, Williams, Richard J, Wood, Spencer A, and Yeakel, Justin D

Subjects
Bergmann's rule, ecogeographical rules, ecological networks, food webs, island rule, latitudinal diversity gradient, macroecology, Rapoport's rule, Physical Geography and Environmental Geoscience, Ecological Applications, Ecology
Abstract

Aim: How do factors such as space, time, climate and other ecological drivers influence food web structure and dynamics? Collections of well-studied food webs and replicate food webs from the same system that span biogeographical and ecological gradients now enable detailed, quantitative investigation of such questions and help integrate food web ecology and macroecology. Here, we integrate macroecology and food web ecology by focusing on how ecogeographical rules [the latitudinal diversity gradient (LDG), Bergmann's rule, the island rule and Rapoport's rule] are associated with the architecture of food webs. Location: Global. Time period: Current. Major taxa studied: All taxa. Methods: We discuss the implications of each ecogeographical rule for food webs, present predictions for how food web structure will vary with each rule, assess empirical support where available, and discuss how food webs may influence ecogeographical rules. Finally, we recommend systems and approaches for further advancing this research agenda. Results: We derived testable predictions for some ecogeographical rules (e.g. LDG, Rapoport's rule), while for others (e.g., Bergmann's and island rules) it is less clear how we would expect food webs to change over macroecological scales. Based on the LDG, we found weak support for both positive and negative relationships between food chain length and latitude and for increased generality and linkage density at higher latitudes. Based on Rapoport's rule, we found support for the prediction that species turnover in food webs is inversely related to latitude. Main conclusions: The macroecology of food webs goes beyond traditional approaches to biodiversity at macroecological scales by focusing on trophic interactions among species. The collection of food web data for different types of ecosystems across biogeographical gradients is key to advance this research agenda. Further, considering food web interactions as a selection pressure that drives or disrupts ecogeographical rules has the potential to address both mechanisms of and deviations from these macroecological relationships. For these reasons, further integration of macroecology and food webs will help ecologists better understand the assembly, maintenance and change of ecosystems across space and time.

Published
2019

13. Ecological networks and archaeology

Author

Crabtree, Stefani A., Dunne, Jennifer A., and Wood, Spencer A.

Subjects
Food chains (Ecology), Ecosystems, Social networks, Archaeology, Anthropology/archeology/folklore, National Academy of Sciences
Abstract

While environmental reconstruction has been a staple in the study of past societies, underused tools from ecology, such as food webs, can enable a more thorough understanding of the human place within ecosystems. Drawing on two recent studies, this article describes the types of questions that can be addressed using this approach. The authors demonstrate how food webs that include archaeological data can provide insights into the effects of extinctions, invasion and ecosystem change on communities, and can address key questions of the structure and dynamics of past societies. This article highlights examples of best practice for the compilation of archaeo-ecological networks, and suggest ways of developing a synthetic understanding of past environments. Keywords: food webs, ecology, networks, simulation, modelling, Introduction Humans, environments and ecosystems are intimately interconnected. Recognising this, archaeologists increasingly incorporate the environmental and ecological contexts of societies to investigate human relationships with climate, geography and other species. [...]

Published
2021
Full Text
View/download PDF

15. Untangling the roles of parasites in food webs with generative network models

Author

Jacobs, Abigail Z., Dunne, Jennifer A., Moore, Cristopher, and Clauset, Aaron

Subjects
Quantitative Biology - Populations and Evolution, Physics - Data Analysis, Statistics and Probability, Quantitative Biology - Quantitative Methods
Abstract

Food webs represent the set of consumer-resource interactions among a set of species that co-occur in a habitat, but most food web studies have omitted parasites and their interactions. Recent studies have provided conflicting evidence on whether including parasites changes food web structure, with some suggesting that parasitic interactions are structurally distinct from those among free-living species while others claim the opposite. Here, we describe a principled method for understanding food web structure that combines an efficient optimization algorithm from statistical physics called parallel tempering with a probabilistic generalization of the empirically well-supported food web niche model. This generative model approach allows us to rigorously estimate the degree to which interactions that involve parasites are statistically distinguishable from interactions among free-living species, whether parasite niches behave similarly to free-living niches, and the degree to which existing hypotheses about food web structure are naturally recovered. We apply this method to the well-studied Flensburg Fjord food web and show that while predation on parasites, concomitant predation of parasites, and parasitic intraguild trophic interactions are largely indistinguishable from free-living predation interactions, parasite-host interactions are different. These results provide a powerful new tool for evaluating the impact of classes of species and interactions on food web structure to shed new light on the roles of parasites in food webs, Comment: 17 pages, 7 figures

Published
2015

16. Simulating social-ecological systems: the Island Digital Ecosystem Avatars (IDEA) consortium

Author

Davies, Neil, Field, Dawn, Gavaghan, David, Holbrook, Sally J, Planes, Serge, Troyer, Matthias, Bonsall, Michael, Claudet, Joachim, Roderick, George, Schmitt, Russell J, Zettler, Linda Amaral, Berteaux, Veronique, Bossin, Herve C, Cabasse, Charlotte, Collin, Antoine, Deck, John, Dell, Tony, Dunne, Jennifer, Gates, Ruth, Harfoot, Mike, Hench, James L, Hopuare, Marania, Kirch, Patrick, Kotoulas, Georgios, Kosenkov, Alex, Kusenko, Alex, Leichter, James J, Lenihan, Hunter, Magoulas, Antonios, Martinez, Neo, Meyer, Chris, Stoll, Benoit, Swalla, Billie, Tartakovsky, Daniel M, Murphy, Hinano Teavai, Turyshev, Slava, Valdvinos, Fernanda, Williams, Rich, and Wood, Spencer

Subjects
BRII recipient: Davies
Abstract

Systems biology promises to revolutionize medicine, yet human wellbeing is also inherently linked to healthy societies and environments (sustainability). The IDEA Consortium is a systems ecology open science initiative to conduct the basic scientific research needed to build use-oriented simulations (avatars) of entire social-ecological systems. Islands are the most scientifically tractable places for these studies and we begin with one of the best known: Moorea, French Polynesia. The Moorea IDEA will be a sustainability simulator modeling links and feedbacks between climate, environment, biodiversity, and human activities across a coupled marine–terrestrial landscape. As a model system, the resulting knowledge and tools will improve our ability to predict human and natural change on Moorea and elsewhere at scales relevant to management/conservation actions.

Published
2016

17. Preparing interdisciplinary leadership for a sustainable future

Author

Boone, Christopher G., Pickett, Steward T. A., Bammer, Gabriele, Bawa, Kamal, Dunne, Jennifer A., Gordon, Iain J., Hart, David, Hellmann, Jessica, Miller, Alison, New, Mark, Ometto, Jean P., Taylor, Ken, Wendorf, Gabriele, Agrawal, Arun, Bertsch, Paul, Campbell, Colin, Dodd, Paul, Janetos, Anthony, and Mallee, Hein

Published
2020
Full Text
View/download PDF

19. Understanding the Bariatric Patient Perspective in the National Patient-Centered Clinical Research Network (PCORnet) Bariatric Study

Author

Coleman, Karen J., Schlundt, David G., Bonnet, Kemberlee R., Holmquist, Kimberly J., Dunne, Jennifer, Crull, Elizabeth, Hanaoka, Beatrice Y., Lent, Michelle R., Nadglowski, Joe, Sylvia, Louisa, Venkatachalam, Shilpa, Xanthakos, Stavra A., Zeiger, Roni, Arterburn, David, Williams, Neely, Courcoulas, Anita, Anau, Jane, McTigue, Kathleen M., Blalock, Cynthia, Malanga, Elisha, McClay, James, McBride, Corrigan L., Schlundt, David, Emiliano, Ana, Nemr, Rabih, McTigue, Kathleen, Courcoulas, Anita, Xanthakos, Stavra A., Michalsky, Marc, Coleman, Karen J., Murali, Sameer, Tavakkoli, Ali, Desai, Nirav, Apovian, Caroline, Clark, Jeanne, Nauman, Elizabeth, Cirielli, Elizabeth, Nadglowski, Joe, St. Clair, Tammy, Tice, Julie, Vitello, Joseph, Zeiger, Roni, Arterburn, David, Anau, Jane, Janning, Cheri, and Williams, Neely

Published
2020
Full Text
View/download PDF

21. Stochastic ecological network occupancy (SENO) models: a new tool for modeling ecological networks across spatial scales

Author

Lafferty, Kevin D. and Dunne, Jennifer A.

Subjects
Life Sciences, Zoology, Plant Sciences, Theoretical Ecology/Statistics, Food web, Ecological network, Metapopulation, Metacommunity, Spatial scale, Model
Abstract

Stochastic ecological network occupancy (SENO) models predict the probability that species will occur in a sample of an ecological network. In this review, we introduce SENO models as a means to fill a gap in the theoretical toolkit of ecologists. As input, SENO models use a topological interaction network and rates of colonization and extinction (including consumer effects) for each species. A SENO model then simulates the ecological network over time, resulting in a series of sub-networks that can be used to identify commonly encountered community modules. The proportion of time a species is present in a patch gives its expected probability of occurrence, whose sum across species gives expected species richness. To illustrate their utility, we provide simple examples of how SENO models can be used to investigate how topological complexity, species interactions, species traits, and spatial scale affect communities in space and time. They can categorize species as biodiversity facilitators, contributors, or inhibitors, making this approach promising for ecosystem-based management of invasive, threatened, or exploited species.

Published
2010

34. On the Importance of First Principles in Ecological Theory Development

Author

MARQUET, PABLO A., ALLEN, ANDREW P., BROWN, JAMES H., DUNNE, JENNIFER A., ENQUIST, BRIAN J., GILLOOLY, JAMES F., GOWATY, PATRICIA A., HARTE, JOHN, HUBBELL, STEVE P., OKIE, JORDAN G., OSTLING, ANNETTE, RITCHIE, MARK, STORCH, DAVID, and WES, GEOFFREY B.

Published
2015

43. On Theory in Ecology

Author

MARQUET, PABLO A., ALLEN, ANDREW P., BROWN, JAMES H., DUNNE, JENNIFER A., ENQUIST, BRIAN J., GILLOOLY, JAMES F., GOWATY, PATRICIA A., GREEN, JESSICA L., HARTE, JOHN, HUBBELL, STEVE P., O’DWYER, JAMES, OKIE, JORDAN G., OSTLING, ANNETTE, RITCHIE, MARK, STORCH, DAVID, and WEST, GEOFFREY B.

Published
2014

46. Stories at Loggerheads : an analysis of narrative and myth in the development of an environmental simulation game

Author

Dunne, Jennifer M. .

Subjects
ComputingMilieux_COMPUTERSANDEDUCATION, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Uncategorized
Abstract

This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results