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  • Ecology
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  • 1
    Article
    Article
    Language: English
    In: Ecological Modelling, 10 January 2016, Vol.319, pp.1-2
    Description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ecolmodel.2015.10.022 Byline: Brian D. Fath Author Affiliation: Towson, MD, United States
    Keywords: Environmental Sciences ; Ecology
    ISSN: 0304-3800
    E-ISSN: 1872-7026
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  • 2
    Article
    Article
    Language: English
    In: Ecological Modelling, 10 February 2015, Vol.297, pp.A1-A1
    Keywords: Environmental Sciences ; Ecology
    ISSN: 0304-3800
    E-ISSN: 1872-7026
    Source: ScienceDirect Journals (Elsevier)
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  • 3
    Language: English
    In: Ecological Modelling, 10 December 2014, Vol.293, pp.42-48
    Description: This paper reviews and compares systems thinking ideas originating from three individuals in diverse disciplines: American ecologist Bernard Patten, German sociologist Niklas Luhmann, and Austrian-born architect Christopher Alexander. From all three, stem ideas promoting the importance of differentiation (boundaries), connectedness, relations, and feedback. The congruence of these ideas formed independently, in different disciplines, on different continents, at roughly the same time speaks to the deep resonance systems concepts have on understanding our world. Consistent as well, is the insight that individual objects emerge from the structural couplings of their physical and social environmental context. These systems concepts are applied here to classify diversity in a holistic and integrated fashion and then extended to inform the question of sustainability. Sustainable systems are ones that are able to maintain coherent self-organization and simultaneously, recursively extend interactions to neighboring coherent wholes.
    Keywords: Diversity ; Envirogram ; Environment ; Operational Closure ; Systems Theory ; Sustainability ; Environmental Sciences ; Ecology
    ISSN: 0304-3800
    E-ISSN: 1872-7026
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  • 4
    Language: English
    In: Ecological Modelling, 24 June 2016, Vol.330, pp.60-61
    Description: To link to full-text access for this article, visit this link: http://dx.doi.org/10.1016/j.ecolmodel.2016.03.015 Byline: Brian D. Fath Author Affiliation: Towson, MD, USA
    Keywords: Environmental Sciences ; Ecology
    ISSN: 0304-3800
    E-ISSN: 1872-7026
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  • 5
    Article
    Article
    Language: English
    In: Ecological Modelling, 10 May 2012, Vol.232, pp.v-viii
    Keywords: Environmental Sciences ; Ecology
    ISSN: 0304-3800
    E-ISSN: 1872-7026
    Source: ScienceDirect Journals (Elsevier)
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  • 6
    Language: English
    In: Ecological modelling, 2011, Vol.222(16), pp.2878-2890
    Description: Ecosystems are dynamic complexes. These dynamics can be described by different ecophysiological parameters and systems theoretical concepts like succession, thermodynamics, information/network theory, resilience, adaptability and the orientor concept. In this paper, different indicators and concepts are linked to Holling's adaptive cycle metaphor in order to derive hypotheses on potential system trajectories. The hypotheses focus on an exemplary temperate forest ecosystem experiencing the adaptive cycle's four phases of exploitation, conservation, collapse and reorganization after an initializing fire event. The different properties are correlated to the number of total system connections and show varying trajectories. Additionally, the provision of selected forest ecosystem services during the different phases is hypothesized and compared to three other land use types. ; p. 2878-2890.
    Keywords: Forests ; Ecosystem Services ; Ecosystems ; Land Use
    ISSN: 0304-3800
    E-ISSN: 18727026
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  • 7
    Language: English
    In: Ecological Modelling, 2010, Vol.221(21), pp.2509-2511
    Keywords: Environmental Sciences ; Ecology
    ISSN: 0304-3800
    E-ISSN: 1872-7026
    Source: ScienceDirect Journals (Elsevier)
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  • 8
    Language: English
    In: Ecological Modelling, 10 January 2016, Vol.319, pp.112-118
    Description: Systems ecology is sufficiently developed today to offer a consistent theory about ecosystem function due to the contributions from a number of system ecologists during the last forty to fifty years. During the last five years, additional important contributions to systems ecology have been published in in the areas of hierarchy theory, landscape processes, and thermodynamic indicators. For example, research showed that hierarchical organization has an important damping effect in the higher levels on disturbances occurring in the lower levels and that the damping effect increases with increasing biodiversity; this result is consistent with experimental and model results. A first attempt has been made to integrate hierarchical and network theory on the levels of ecosystems/landscapes using model experiments. The model experiments point toward an expansion of the Ecological Law of Thermodynamics (ELT) to ecosystems developing on the landscape, where it previous was shown valid for populations fitting in an ecosystem. Regarding thermodynamic indicators of ecological organization, flow transfers were used to quantify the usable work energy, including the work energy of information, in ecological networks. In particular, this new approach included the cycling of information, which is changed by transfers of work energy due to different values of the donors and the receptors. These changes, however, distribute to all the components of the network. The cardinal network hypotheses proposed by B. Patten have been expanded (published in this issue of ) and it has been shown that both the maximization of power (the flows of useful work energy) and the maximization of the storage of usable work energy including that of information in ecosystems’ networks are valid and complementary. This result represents a first integration of the Maximum Power Hypothesis and the Ecological Law of Thermodynamics with Network Theory, and it is presumed that a complete integration of all three theories, hierarchical, network and thermodynamic, could be expected in the coming years.
    Keywords: Systems Ecology ; Hierarchies ; Thermodynamics ; Networks ; Maximum Power ; Information ; Environmental Sciences ; Ecology
    ISSN: 0304-3800
    E-ISSN: 1872-7026
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  • 9
    Language: English
    In: Ecological Modelling, 24 January 2018, Vol.368, pp.33-40
    Description: For over 40 years, Professor Bernie Patten, offered a course on Field Systems Ecology at the University of Georgia in Athens, Georgia, USA. The course combined systems analysis approaches and natural field ecology in a way that gave the students new perspectives on making conceptual and formal models of the natural world. The course employed extensive use of outdoor field laboratories at a nearby park, which had multiple ecological habitats. The main progression was to go from simple observations to “seeing systems” to modeling by learning how to ask pertinent systems-oriented questions. This started with a structured walk through the six identified subsystems (forest ridgetop, forest slope, field, lake, stream, and wetland) and proceeded to specific field sampling techniques for the terrestrial and aquatic environments. In addition to the field labs, the course required two weekend camping trips, one to the Great Smokey Mountain National Park in the Appalachian Mountains and one to the Okefenokee Swamp/Cumberland Island National Seashore. The idea was to use the two weekend trips to frame the local watershed scale processes at the continental scale. In this manner, students could observe and measure ecosystem processes and interactions at multiple scales. The notes, which are reproduced below, have been further modified for use at Towson University which utilizes a local park in Baltimore County called Oregon Ridge Park and weekend trips to Catoctin National Park and Chesapeake Bay. The general approach of these notes should have universal appeal to anyone teaching or taking a systems ecology course.
    Keywords: Systems Ecology ; Field Ecology ; Class Laboratory Exercise ; Models ; Observation and Measurement ; Environmental Sciences ; Ecology
    ISSN: 0304-3800
    E-ISSN: 1872-7026
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  • 10
    Language: English
    In: Science of the Total Environment, 2010, Vol.408(20), pp.4702-4711
    Description: Using , we analyzed the network structure and ecological relationships in an urban water metabolic system. We developed an ecological network model for the system, and used Beijing as an example of analysis based on the model. We used network throughflow analysis to determine the flows among components, and measured both indirect and direct flows. Using a network utility matrix, we determined the relationships and degrees of mutualism among six compartments – 1) local environment, 2) rainwater collection, 3) industry, 4) agriculture, 5) domestic sector, and 6) wastewater recycling – which represent producer, consumer, and reducer trophic levels. The capacity of producers to provide water for Beijing decreased from 2003 to 2007, and consumer demand for water decreased due to decreasing industrial and agricultural demand; the recycling capacity of reducers also improved, decreasing the discharge pressure on the environment. The ecological relationships associated with the local environment or the wastewater recycling sector changed little from 2003 to 2007. From 2003 to 2005, the main changes in the ecological relationships among components of Beijing's water metabolic system mostly occurred between the local environment, the industrial and agricultural sectors, and the domestic sector, but by 2006 and 2007, the major change was between the local environment, the agricultural sector, and the industrial sector. The other ecological relationships did not change during the study period. Although Beijing's mutualism indices remained generally stable, the ecological relationships among compartments changed greatly. Our analysis revealed ways to further optimize this system and the relationships among compartments, thereby optimizing future urban water resources development.
    Keywords: Urban Ecological Networks ; Urban Water Metabolism ; Throughflow Analysis ; Utility Analysis ; Ecological Network Analysis ; Environmental Sciences ; Biology ; Public Health
    ISSN: 0048-9697
    E-ISSN: 1879-1026
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