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  • 1
    Online Resource
    Online Resource
    Ecological Networks : Linking Structure to Dynamics in Food Webs. (2005)
    Cary :Oxford University Press, Incorporated,
    Details
    Keywords: Food chains (Ecology). ; Electronic books.
    Description / Table of Contents: Food webs are one of the most useful, and challenging, objects of study in ecology. These networks of predator-prey interactions, conjured in Darwin's image of a "tangled bank," provide a paradigmatic example of complex adaptive systems. This book is based on a February 2004 Santa Fe Institute workshop. Its authors treat the ecology of predator-prey interactions, food web theory, structure and dynamics. The book explores the boundaries of what is known of the relationship between structure and dynamics in ecological networks and will define directions for future developments in this field.
    Type of Medium: Online Resource
    Pages: 1 online resource (405 pages)
    Edition: 1st ed.
    ISBN: 9780199775057
    Series Statement: Santa Fe Institute Studies on the Sciences of Complexity Series
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=693954
    DDC: 577/.16
    Language: English
    Note: Cover -- Contents -- Preface -- A. INTRODUCTION -- 1. From Small to Large Ecological Networks in a Dynamic World -- B. STRUCTURE OF COMPLEX ECOLOGICAL NETWORKS -- 2. The Network Structure of Food Webs -- Box A. Additional Model Complexity Reduces Fit to Complex Food-Web Structure -- Box B. Reply to Martinez and Cushing -- 3. Graph Theory and Food Webs -- 4. Parasites and Food Webs -- Box C. Sea Lampreys in Great Lakes Food Webs -- 5. The Structure of Plant-Animal Mutualistic Networks -- C. INTEGRATING ECOLOGICAL STRUCTURE AND DYNAMICS -- 6. Diversity, Complexity, and Persistence in Large Model Ecosystems -- 7. Exploring Network Space with Genetic Algorithms Modularity, Resilience, and Reactivity -- 8. Food-Web Structure and Dynamics: Reconciling Alternative Ecological Currencies -- D. ECOLOGICAL NETWORKS AS EVOLVING, ADAPTIVE SYSTEMS -- 9. Models of Food-Web Evolution -- 10. Phenotypic Plasticity and Species Coexistence: Modeling Food Webs as Complex Adaptive Systems -- 11. Exploring the Evolution of Ecosystems with Digital Organisms -- 12. Network Evolution: Exploring the Change and Adaptation of Complex Ecological Systems over Deep Time -- E. STABILITY AND ROBUSTNESS OF ECOLOGICAL NETWORKS -- 13. Ecological Network Meltdown from Habitat Loss and Fragmentation -- 14. Biodiversity Loss and Ecological Network Structure -- F. CONCLUSIONS -- 15. Challenges for the Future: Integrating Ecological Structure and Dynamics -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Y.
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  • 2
    Book
    Book
    Ecological networks : linking structure to dynamics in food webs; [Workshop "From Structure to Complex Ecological Networks", 2004] (2006)
    Oxford : Oxford University Press
    Details Availability
    Keywords: Food chains (Ecology) Congresses ; Food chains (Ecology) ; Food Chain ; Konferenzschrift ; Aufsatzsammlung ; Ökologie ; Nahrungskette ; Nahrungskette ; Ökologie
    Type of Medium: Book
    Pages: XVIII, 386 S. , Ill., graph. Darst.
    ISBN: 0195188160 , 9780195188165
    Series Statement: The Santa Fe Institute studies in the sciences of complexity
    URL: https://zbmath.org/?q=an:1170.92029
    URL: http://www.loc.gov/catdir/enhancements/fy0640/2005047788-d.html
    URL: http://www.loc.gov/catdir/enhancements/fy0726/2005047788-t.html
    URL: https://external.dandelon.com/download/attachments/dandelon/ids/DE00447E9DAD20DA5A217C1257A540033ED98.pdf
    Language: English
    Note: Includes bibliographical references
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  • 3
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    (Table A1) Species list of the high Antarctic Weddell Sea food web (2011)
    PANGAEA
    In:  Supplement to: Jacob, Ute; Thierry, Aaron; Brose, Ulrich; Arntz, Wolf E; Berg, Sofia; Brey, Thomas; Fetzer, Ingo; Jonsson, Tomas; Mintenbeck, Katja; Möllmann, Christian; Petchey, Owen L; Riede, Jens O; Dunne, Jennifer A (2011): The role of body size in complex food webs: A cold case. Advances in Ecological Research, 45, 181-223, https://doi.org/10.1016/B978-0-12-386475-8.00005-8
    Details
    Publication Date: 2023-10-28
    Description: Human-induced habitat destruction, overexploitation, introduction of alien species and climate change are causing species to go extinct at unprecedented rates, from local to global scales. There are growing concerns that these kinds of disturbances alter important functions of ecosystems. Our current understanding is that key parameters of a community (e.g. its functional diversity, species composition, and presence/absence of vulnerable species) reflect an ecological network's ability to resist or rebound from change in response to pressures and disturbances, such as species loss. If the food web structure is relatively simple, we can analyse the roles of different species interactions in determining how environmental impacts translate into species loss. However, when ecosystems harbour species-rich communities, as is the case in most natural systems, then the complex network of ecological interactions makes it a far more challenging task to perceive how species' functional roles influence the consequences of species loss. One approach to deal with such complexity is to focus on the functional traits of species in order to identify their respective roles: for instance, large species seem to be more susceptible to extinction than smaller species. Here, we introduce and analyse the marine food web from the high Antarctic Weddell Sea Shelf to illustrate the role of species traits in relation to network robustness of this complex food web. Our approach was threefold: firstly, we applied a new classification system to all species, grouping them by traits other than body size; secondly, we tested the relationship between body size and food web parameters within and across these groups and finally, we calculated food web robustness. We addressed questions regarding (i) patterns of species functional/trophic roles, (ii) relationships between species functional roles and body size and (iii) the role of species body size in terms of network robustness. Our results show that when analyzing relationships between trophic structure, body size and network structure, the diversity of predatory species types needs to be considered in future studies.
    Keywords: Environment; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; Species; Species code; SPP1158; Weddell_Sea_Shelf; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 1464 data points
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  • 4
    Electronic Resource
    Electronic Resource
    Species-mediated soil moisture availability and patchy establishment of Pseudotsuga menziesii in chaparral (1999)
    Springer
    Oecologia 119 (1999), S. 36-45 
    Details
    ISSN: 1432-1939
    Keywords: Key words California chaparral ; Pseudotsuga menziesii ; Soil moisture ; Seedling establishment ; Facilitation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The occurrence of mature individuals of Pseudotsuga menziesii in stands of Arctostaphylos species mark the initial stages of mixed evergreen forest invasion into chaparral in central coastal California. We planted two cohorts of P. menziesii seeds at three sites under stands of two Arctostaphylos species and Adenostoma fasciculatum in order to determine whether first-year seedling emergence and survival, particularly during the regular summer drought, underlie the spatial distribution of mature trees observed in chaparral. Regardless of the chaparral species they were planted under, P. menziesii seeds that were not protected from vertebrate predation displayed very little emergence and no survival. In contrast, emergence of P. menziesii that were protected from vertebrate predators was much higher but still did not significantly differ among the three chaparral species. However, survival of protected seedlings under Arctostaphylos glandulosa was much greater than under A. fasciculatum, with intermediate survival under Arctostaphylos montana. While mortality of protected seedlings due to insect herbivory, fungal infection, and disturbance displayed no consistent patterns, summer drought mortality appeared to drive the patterns of survival of P. menziesii under the different chaparral species. These emergence, mortality, and survival data suggest that spatial patterns of P. menziesii recruitment in chaparral are driven by first-year summer drought seedling mortality, but only in years when seeds and seedlings are released from vertebrate predation pressure. Because the first-year drought mortality and survival patterns of P. menziesii seedlings differed strongly depending on the chaparral species, we examined the additional hypothesis that these patterns are associated with differences in the availability of soil moisture under different chaparral species. Both higher survival and lower drought mortality of P. menziesii seedlings were associated with higher soil water potential under Arctostaphylos stands during the summer drought, especially in the subsurface soil. The data suggest that Arctostaphylos stands, particularly stands of A. glandulosa, ameliorate xeric summer conditions to a degree that facilitates first-year establishment of P. menziesii and strongly influences spatial distribution of mature trees.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s004420050758
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    Paper (German National Licenses)
    Fulltext
  • 5
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    Sustaining Economic Exploitation of Complex Ecosystems in Computational Models of Coupled Human-Natural Networks (2012)
    AAAI Press
    In:  In: Proceedings of The Association for the Advancement of Artificial Intelligence. AAAI Press, Palo Alto, Calif., USA, pp. 326-334.
    Details
    Publication Date: 2012-11-29
    Description: 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.
    Type: Book chapter , PeerReviewed
    Format: text
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  • 6
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    The Role of Body Size in Complex Food Webs: A Cold Case (2011)
    ELSEVIER ACADEMIC PRESS INC
    In:  EPIC3The Role of Body Size in Multispecies Systems, Advances in Ecological Research, ELSEVIER ACADEMIC PRESS INC, 45, pp. 181-223, ISSN: 0065-2504
    Details
    Publication Date: 2019-07-16
    Description: Human-induced habitat destruction, overexploitation, introduction of alien species and climate change are causing species to go extinct at unprecedented rates, from local to global scales. There are growing concerns that these kinds of disturbances alter important functions of ecosystems. Our current understanding is that key parameters of a community (e.g. its functional diversity, species composition, and presence/absence of vulnerable species) reflect an ecological network’s ability to resist or rebound from change in response to pressures and disturbances, such as species loss. If the food web structure is relatively simple, we can analyse the roles of different species interactions in determining how environmental impacts translate into species loss. However, when ecosystems harbour species-rich communities, as is the case in most natural systems, then the complex network of ecological interactions makes it a far more challenging task to perceive how species’ functional roles influence the consequences of species loss. One approach to deal with such complexity is to focus on the functional traits of species in order to identify their respective roles: for instance, large species seem to be more susceptible to extinction than smaller species. Here, we introduce and analyse the marine food web from the high Antarctic Weddell Sea Shelf to illustrate the role of species traits in relation to network robustness of this complex food web. Our approach was threefold: firstly, we applied a new classification system to all species, grouping them by traits other than body size; secondly, we tested the relationship between body size and food web parameters within and across these groups and finally, we calculated food web robustness. We addressed questions regarding (i) patterns of species functional/trophic roles, (ii) relationships between species functional roles and body size and (iii) the role of species body size in terms of network robustness. Our results show that when analyzing relationships between trophic structure, body size and network structure, the diversity of predatory species types needs to be considered in future studies.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 7
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    Parasites affect food web structure primarily through increased diversity and complexity (2013)
    PUBLIC LIBRARY SCIENCE
    In:  EPIC3PLoS Biology, PUBLIC LIBRARY SCIENCE, 11(6), pp. 1-17, ISSN: 1544-9173
    Details
    Publication Date: 2019-07-16
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 8
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    Complexity in ecology and conservation : mathematical, statistical, and computational challenges (2006)
    American Institute of Biological Sciences
    Details
    Publication Date: 2022-05-25
    Description: Author Posting. © American Institute of Biological Sciences, 2005. This article is posted here by permission of American Institute of Biological Sciences for personal use, not for redistribution. The definitive version was published in BioScience 55 (2005): 501–510, doi:10.1641/0006-3568(2005)055[0501:CIEACM]2.0.CO;2.
    Description: 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.
    Description: This paper is the result of a National Science Foundation (NSF) workshop on quantitative environmental and integrative biology (DEB-0092081). J. L. G. would like to acknowledge financial support from the NSF (DEB-0107555).
    Keywords: Ecological complexity ; Quantitative conservation biology ; Cyberinfrastructure ; Metadata ; Semantic Web
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: 577104 bytes
    Format: application/pdf
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  • 9
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    Simulating social-ecological systems : the Island Digital Ecosystem Avatars (IDEA) consortium (2016)
    BioMed Central
    Details
    Publication Date: 2022-05-26
    Description: © The Author(s), 2016. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in GigaScience 5 (2016): 14, doi:10.1186/s13742-016-0118-5.
    Description: 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.
    Description: Work was supported in part by: the Institute of Theoretical Physics and the Pauli Center at ETH Zurich; the US National Science Foundation (NSF Moorea Coral Reef Long Term Ecological Research Site, OCE-1236905; Socio-Ecosystem Dynamics of Natural-Human Networks on Model Islands, CNH-1313830; Coastal SEES: Adaptive Capacity, Resilience, and Coral Reef State Shifts in Social-ecological Systems, OCE-1325652, OCE-1325554); the Gordon and Betty Moore Foundation (Berkeley Initiative in Global Change Biology; Genomic Standards Consortium); Courtney Ross and the Ross Institute; UC Berkeley Vice Chancellor for Research; CRIOBE; and the France Berkeley Fund (FBF 2014-0015).
    Keywords: Computational ecology ; Biodiversity ; Genomics ; Biocode ; Earth observations ; Social-ecological system ; Ecosystem dynamics ; Climate change scenarios ; Predictive modeling
    Repository Name: Woods Hole Open Access Server
    Type: Article
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