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Journal articles on the topic 'Ecological systems'

To see the other types of publications on this topic, follow the link: Ecological systems.

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

RAI, VIKAS. "MODELLING ECOLOGICAL SYSTEMS." International Journal of Bifurcation and Chaos 05, no. 02 (April 1995): 537–43. http://dx.doi.org/10.1142/s0218127495000429.

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The paper introduces some new techniques which facilitate the study of nonlinear coupled ordinary differential equations modelling ecological systems. The strength and weaknesses of these techniques are discussed in detail. It also assesses the usefulness of “deterministic chaos” as a paradigm to understanding the dynamics of interacting populations.

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2

Tamponnet, Christian, and Christopher Savage. "Closed Ecological Systems." Journal of Biological Education 28, no. 3 (September 1994): 167–74. http://dx.doi.org/10.1080/00219266.1994.9655387.

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3

Matas, Gordan, and Iva Donelli. "Ecological systems theory." Zbornik radova Filozofskog fakulteta u Splitu, no. 13 (2020): 111–30. http://dx.doi.org/10.38003/zrffs.13.5.

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In this paper, Toni Morrison’s novel Beloved (1987) will be considered from the point of view of developmental psychology. Morrison’s works can be seen as representing an intertwinement of social, historico-political and emotional themes which play a crucial role in the identity construction of the author’s characters. Therefore, the Ecological Systems Theory proposed by Urie Bronfenbrenner will be employed to closely examine how the identities of Morrison’s characters are being shaped in the novel. The usage of the five systems on which Bronfenbrenner’s bioecological model is based– chronosystem, macrosystem, exosystem, mesosystem and microsystem, will provide an often missing holistic approach necessary for better understanding of how and why Morrison’s characters are (un)able to complete their developmental journey of identity construction successfully.

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4

Tamayo, Unai, and Gustavo Vargas. "Biomimetic economy: human ecological-economic systems emulating natural ecological systems." Social Responsibility Journal 15, no. 6 (September 2, 2019): 772–85. http://dx.doi.org/10.1108/srj-09-2018-0241.

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Purpose The purpose of this paper is to examine the use of biomimicry to inspire sustainable development in economic systems. The research purpose is to explore the link between ecological systems and economic systems to highlight applied environmental solutions. The goal is to propose some driver to develop sustainable business practices inspired on the principles of biomimicry. Design/methodology/approach This paper provides a theoretical approach that builds the basis for a better understanding of the relationship between nature and sustainable economic decisions. The premise is that in the field of sustainable development, strategies based on “learning from nature” are useful. Furthermore, the concept of biomimicry provides principles and tools specifically aimed at design practice. Findings The complexity of economic systems has shown that high levels of abstraction are required when conceptualising problems and explanations related with nature-inspired solutions. Stakeholder engagement and transdisciplinary collaboration are required to face long-term environmental challenges. Moreover, the exploratory analysis applied in this paper appeared suitable to compile existing literature. Practical implications The study provides some general guidelines and empirical approach through case studies that could help decision makers convert nature-inspired alternatives into valuable strategic business opportunities. Although presented practical cases are framed in the local sphere (i.e. the Basque Country), they can serve as references in other international contexts. Social implications New business models should recognize the positive synchronization between well-managed social, environmental and economic systems. Originality/value The proposed ideas deepen the understanding on the sustainable development and the link between ecological and economic systems. In fact, the concept of biomimetic economy has not been dealt with or developed in depth in previous academic works, nor has it been published thoroughly in the field of research.

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5

Parker, E. D., V. E. Forbes, S. L. Nielsen, C. Ritter, C. Barata, D. J. Baird, W. Admiraal, et al. "Stress in Ecological Systems." Oikos 86, no. 1 (July 1999): 179. http://dx.doi.org/10.2307/3546584.

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6

Provata, Astero, Igor M. Sokolov, and Bernardo Spagnolo. "Editorial: Ecological complex systems." European Physical Journal B 65, no. 3 (October 2008): 307–14. http://dx.doi.org/10.1140/epjb/e2008-00380-9.

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7

Müller, Felix. "Gradients in ecological systems." Ecological Modelling 108, no. 1-3 (May 1998): 3–21. http://dx.doi.org/10.1016/s0304-3800(98)00015-5.

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8

Yeonsoo Shim. "Resilience and Ecological Citizenship in Socio-Ecological Systems." Studies in Humanities and Social Sciences ll, no. 53 (November 2016): 5–24. http://dx.doi.org/10.17939/hushss.2016..53.001.

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9

Grace, James B. "Taking a systems approach to ecological systems." Journal of Vegetation Science 26, no. 6 (October 14, 2015): 1025–27. http://dx.doi.org/10.1111/jvs.12340.

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10

Janeček, A., and M. Mikleš. "Ecological aspect of mobile systems operated in terrain conditions." Research in Agricultural Engineering 49, No. 3 (February 8, 2012): 119–23. http://dx.doi.org/10.17221/4962-rae.

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In this paper is evaluated an optimal constructional and operating performance of the mobil terrain system, that works in forest ecosystems from point of view of volume of processed biomass and total amount of logging transport erosion. A monitored terrain system, working in forestry, is considered as a production system, with its material and energy flow. The determination value, that optimizes the production system, is the operating and constructional performance. In this paper is evaluated the amount erosion in dependence of cutting mass, by means of mathematics and from system point of view. The conditions for the mobile terrain system work, that insure optimal, i.e. minimal value of erosion will be determined. The theoretical results are verified. The optimal values of soil erosion are determined by experimental measurements. The principles of the paper are based on theses of ecological synthesis that determine coupling between dissipative energy of a production system and its ecological cleanliness of work.

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11

Pico-Fonseca, Pico-Fonseca, and Diana Paola Betancurth-Loaiza. "ecological systems approach to breastfeeding." Entramado 17, no. 1 (January 15, 2021): 240–48. http://dx.doi.org/10.18041/1900-3803/entramado.1.7226.

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Through a thematic review, this article aims to identify how an ecological approach contributes to the educational processes related to the practice of breastfeeding. Using the PICO process, a search was carried out for research articles published between 2010 and 2020 in various databases and specialized journals such as SCOPUS, Web of Science, Scielo, and Dialnet. The terms used were those standardized by the descriptors of health sciences in English and Spanish. The results yielded a total of 549 articles and, through filtering, 57 investigations on breastfeeding education with an ecological focus on women and their environments were selected and analyzed. These highlight the need to link support networks in this process and to improve training for institutions to strengthen the practice of breastfeeding for the newborn. Moreover, within the educational dynamics for the establishment of the practice, a methodological approach that includes the teachings of the structured concepts of the Ecological Model is pertinent.

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12

McCormick, Kes. "ECOLOGICAL ECONOMICS AND TRANSPORT SYSTEMS." Environmental Engineering and Management Journal 6, no. 1 (2007): 21–25. http://dx.doi.org/10.30638/eemj.2007.004.

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13

Costanza, Robert, Lisa Wainger, and Carl Folke. "Modeling Complex Ecological Economic Systems." BioScience 43, no. 8 (September 1993): 545–55. http://dx.doi.org/10.2307/1311949.

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14

Garton, Paul, Adam Grimm, and Sehee Kim. "Spanning Systems and Ecological Fluidity." Journal of Comparative & International Higher Education 13, no. 5 (December 10, 2021): 218–31. http://dx.doi.org/10.32674/jcihe.v13i5.2715.

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The growth of the number of persons pursuing education outside of their home country has created a relatively new population of transnationally mobile students who experience a pivotal developmental period crossing and across international borders. There are few suitable theoretical models to examine the developmental experiences of this growing population. In his last publication, Urie Bronfenbrenner acknowledged his ecological model was a developmental yet evolving model to be tested and amended by incorporating new evidence. This conceptual paper draws from existing empirical work to advance the ecological model and revise it to be more applicable to and explanatory of developmental experiences of international students in the United States. The resulting model, which we call the Spanning Systems model, can be used to identify spaces of potential contradictions or learning in a student’s development.

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15

Рябова, Валентина Олегівна. "Information systems of ecological monitoring." Technology audit and production reserves 6, no. 1(8) (December 11, 2012): 49–50. http://dx.doi.org/10.15587/2312-8372.2012.5473.

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16

Neher, Deborah. "Ecological Sustainability in Agricultural Systems." Journal of Sustainable Agriculture 2, no. 3 (September 25, 1992): 51–61. http://dx.doi.org/10.1300/j064v02n03_05.

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17

Rocha, Juan, Katja Malmborg, Line Gordon, Kate Brauman, and Fabrice DeClerck. "Mapping social-ecological systems archetypes." Environmental Research Letters 15, no. 3 (February 19, 2020): 034017. http://dx.doi.org/10.1088/1748-9326/ab666e.

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18

Jørgensen, Sven Erik. "Ecological modelling and systems ecology." Ecological Modelling 117, no. 1 (April 1999): 1–2. http://dx.doi.org/10.1016/s0304-3800(99)00025-3.

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19

Lawton, J. H. "Ecological Experiments with Model Systems." Science 269, no. 5222 (July 21, 1995): 328–31. http://dx.doi.org/10.1126/science.269.5222.328.

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20

Snyder, Robin E. "What makes ecological systems reactive?" Theoretical Population Biology 77, no. 4 (June 2010): 243–49. http://dx.doi.org/10.1016/j.tpb.2010.03.004.

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21

Bodin, Örjan, and Maria Tengö. "Disentangling intangible social–ecological systems." Global Environmental Change 22, no. 2 (May 2012): 430–39. http://dx.doi.org/10.1016/j.gloenvcha.2012.01.005.

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22

Solov’ev, A. S. "Ecological systems for metallurgical enterprises." Chemical and Petroleum Engineering 44, no. 1-2 (January 2008): 98–101. http://dx.doi.org/10.1007/s10556-008-9001-2.

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23

Chen, Adela J. W., Marie‐Claude Boudreau, and Richard T. Watson. "Information systems and ecological sustainability." Journal of Systems and Information Technology 10, no. 3 (November 21, 2008): 186–201. http://dx.doi.org/10.1108/13287260810916907.

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24

Lurgi, Miguel, and David Robertson. "Evolution in ecological agent systems." International Journal of Bio-Inspired Computation 3, no. 6 (2011): 331. http://dx.doi.org/10.1504/ijbic.2011.043622.

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25

Satake, Akiko, and Itsuro Koizumi. "Population synchrony in ecological systems." Population Ecology 50, no. 4 (September 27, 2008): 325–27. http://dx.doi.org/10.1007/s10144-008-0107-3.

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26

Cairns, John. "Ecological integrity of aquatic systems." Regulated Rivers: Research & Management 11, no. 3-4 (November 1995): 313–23. http://dx.doi.org/10.1002/rrr.3450110307.

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27

Pospíšilová, Jana. "Ecological systems of the geobiosphere." Biologia Plantarum 28, no. 2 (March 1986): 90. http://dx.doi.org/10.1007/bf02885199.

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28

KOROLEV, VLADIMIR A. "DYNAMICS OF ECOLOGICAL-GEOLOGICAL SYSTEMS." Геоинфо 4, no. 11 (2022): 6–13. http://dx.doi.org/10.58339/2949-0677-2022-4-11-6-12.

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29

Cumming, Graeme S., and Craig R. Allen. "Protected areas as social-ecological systems: perspectives from resilience and social-ecological systems theory." Ecological Applications 27, no. 6 (August 17, 2017): 1709–17. http://dx.doi.org/10.1002/eap.1584.

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30

Barbuti, Roberto, Pasquale Bove, Paolo Milazzo, and Giovanni Pardini. "Minimal probabilistic P systems for modelling ecological systems." Theoretical Computer Science 608 (December 2015): 36–56. http://dx.doi.org/10.1016/j.tcs.2015.07.035.

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31

Biggeri, Annibale, and Laura Grisotto. "Fonti di distorsione nella misura delle disuguaglianze di salute: la validazione, il confronto temporale e spaziale, l'aggiustamento per altre covariate, il bias ecologico." SALUTE E SOCIETÀ, no. 1 (March 2009): 79–89. http://dx.doi.org/10.3280/ses2009-001007.

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- The use of socio-economic indicators in the analysis of health outcomes is not straightforward because those conditions act in a mediated and indirect way through the adoption of life styles, the characteristics of job or the capabilities of utilizing the opportunity of wellbeing offered by the modern health systems. Validity analyses of the national deprivation index based on indicators derived from national Census are summarized. Spatial and temporal stability of the association between deprivation and mortality are reviewed and Italian examples presented. Mutual standardization bias and ecological fallacy when using census tract data are also illustrated with original data based on longitudinal census cohorts studies. Keywords: material deprivation, mortality, validity, ecological fallacy, epidemiology, ecological bias. Parole chiave: deprivazione materiale, mortalitÀ, validazione, distorsione ecologica, epidemiologia, bias ecologico.

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32

Jones, Benjamin L. H., Richard K. F. Unsworth, Lina M. Nordlund, Rohani Ambo-Rappe, Yayu A. La Nafie, Mary Rose Lopez, Susantha Udagedara, and Leanne C. Cullen-Unsworth. "Local Ecological Knowledge Reveals Change in Seagrass Social–Ecological Systems." Oceans 3, no. 3 (August 10, 2022): 419–30. http://dx.doi.org/10.3390/oceans3030028.

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It is widely recognized that humanity is currently facing multiple planetary crises, including the widespread loss of biodiversity and a rapidly changing climate. The impacts of these crises are often far reaching and threaten food security (SDG goal two: zero hunger). Small-scale fisheries are estimated to provide livelihoods for over one hundred million people and sustenance for approximately one billion people but face a plethora of threats and challenges linked to planetary crises. In this multi-country assessment (150 coastal villages across five countries within the Indo-Pacific), household interviews revealed how seagrass meadows are important to small-scale fisheries, particularly as a place to find and collect a reliable source of food. Interviews also revealed that habitat loss and the over-exploitation of these resources are placing people and their food security at risk. This study exposed how dynamic local ecological knowledge can be, uncovering personal opinions and responsibilities that result in the hybridization of knowledge. Here, we demonstrate the importance of using local ecological knowledge to incorporate shared values into management but also highlight that an integrated approach, pairing local and conventional scientific knowledge, is needed urgently if we are to meet the needs of people while simultaneously conserving biodiversity.

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33

Ahlborg, Helene, Ilse Ruiz-Mercado, Sverker Molander, and Omar Masera. "Bringing Technology into Social-Ecological Systems Research—Motivations for a Socio-Technical-Ecological Systems Approach." Sustainability 11, no. 7 (April 4, 2019): 2009. http://dx.doi.org/10.3390/su11072009.

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The purpose of this synthesis paper is to present the motivations and conceptual basis for research on socio-technical-ecological systems (STES), addressing the need for interdisciplinary studies targeting the technological mediation of human–environment relationships. The background is the very limited number of collaborations between scholars of social-ecological systems and sociotechnical systems (SES), despite repeated calls for bridging work. The synthesis builds on an in-depth review of previous literature, interdisciplinary exchanges, and empirical examples. The result is arguments for why a sociotechnical understanding of ‘technology’ is of central importance for SES studies, related to how technology: (1) mediates human–environment relationships; (2) brings ambivalence to these relationships; (3) enhances and transforms human agency and provides a source of constitutive power; (4) changes scalar relationships, enabling our interaction with and impact on the natural world across time and space. Furthermore, we present an STES analytical approach which starts from symmetrical attention to technology, society, and environment, specifically targeting interfaces and relationships of critical relevance for SES scholars, and address counterarguments that we have encountered. We conclude that a shift to STES research will enhance our knowledge of system interfaces that are often overlooked, opening further avenues for research and real-world interventions.

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34

Kolasa, J. "Ecological boundaries: a derivative of ecological entities." Web Ecology 14, no. 1 (July 22, 2014): 27–37. http://dx.doi.org/10.5194/we-14-27-2014.

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Abstract. Defining ecological boundary as an outer envelope of an ecological entity such as an individual, colony, population, community, an ecosystem, or any other discernible unit provides methodological benefits and should thus enhance existing perspectives and research protocols. I argue that, because boundaries are features of entities, the first step in investigation of boundary structure and properties should involve identification of the entity the presumed boundary of interest belongs to. I use a general perspective where ecological systems are parts of a larger system and themselves are made of subsystems (or entities). Such a general hierarchy of ecological objects offers guidance as to how boundaries can be found for specific systems, and how their investigations might lead to reliable and generalizable insights. In particular, it may help in (a) categorizing types of boundaries based on mechanisms leading to formation of entities; (b) deciding what is and what is not a boundary by clarifying the nature of discontinuities seen in nature (e.g., sharp habitat transitions or weak separation of entities); (c) assisting in selecting fruitful resolution at which boundaries are examined; (d) approaching boundaries in complex, nested systems; and (e) deciding what criteria to use in answering questions about a particular boundary type. To facilitate the above I provide general criteria one may use for identifying ecological entities. Such criteria should assist in focusing on boundaries appropriate for a given research question. Finally, where advancing the theoretical framework for ecological boundaries is concerned, the diversity of boundary types will be better served when reorganized in relation to the concept of entity as discussed below.

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35

Rabbinge, R., W. A. H. Rossing, and P. S. Wagenmakers. "SYSTEMS APPROACHES AND ECOLOGICAL MODERNISATION OF HORTICULTURAL PRODUCTION SYSTEMS." Acta Horticulturae, no. 499 (October 1999): 19–30. http://dx.doi.org/10.17660/actahortic.1999.499.1.

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36

Withagen, Rob, and Claire F. Michaels. "On Ecological Conceptualizations of Perceptual Systems and Action Systems." Theory & Psychology 15, no. 5 (October 2005): 603–20. http://dx.doi.org/10.1177/0959354305057265.

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37

Dragicevic, Arnaud Z., and Jason F. Shogren. "Preservation Value in Socio-Ecological Systems." Ecological Modelling 443 (March 2021): 109451. http://dx.doi.org/10.1016/j.ecolmodel.2021.109451.

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38

Schaffer, William M. "Order and Chaos in Ecological Systems." Ecology 66, no. 1 (February 1985): 93–106. http://dx.doi.org/10.2307/1941309.

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39

Schaffer, W. M., and M. Kot. "Do Strange Attractors Govern Ecological Systems?" BioScience 35, no. 6 (June 1985): 342–50. http://dx.doi.org/10.2307/1309902.

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40

Frame, Mariko L. "Ecological Imperialism: A World‐Systems Approach." American Journal of Economics and Sociology 81, no. 3 (May 2022): 503–34. http://dx.doi.org/10.1111/ajes.12472.

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41

Merheb, Abdel-Razzak, Hassan Noura, and François Bateman. "Mathematical Modeling of Ecological Systems Algorithm." Lebanese Science Journal 22, no. 2 (March 2, 2022): 209–31. http://dx.doi.org/10.22453/lsj-022.2.209-231.

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In this paper, the mathematical modeling of a new bio-inspired evolutionary search algorithm called Ecological Systems Algorithm (ESA) is presented. ESA imitates ecological rules to find iteratively the optimum of a given function through interaction between predator and prey search species. ESA is then compared to the well-known Genetic Algorithm which is a powerful bio-inspired stochastic search/optimization algorithm used for decades. Simulation results of the two algorithms optimizing ten different benchmark functions are used to investigate and compare both algorithms based on their speed, performance, reliability, and efficiency.

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42

Ciurans, Carles, Najmeh Bazmohammadi, Laurent Poughon, Juan C. Vasquez, Claude G. Dussap, Francesc Gòdia, and Josep M. Guerrero. "Hierarchically controlled ecological life support systems." Computers & Chemical Engineering 157 (January 2022): 107625. http://dx.doi.org/10.1016/j.compchemeng.2021.107625.

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43

Burns, Matthew K., Kristy Warmbold-Brann, and Anne F. Zaslofsky. "Ecological Systems Theory inSchool Psychology Review." School Psychology Review 44, no. 3 (September 1, 2015): 249–61. http://dx.doi.org/10.17105/spr-15-0092.1.

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44

Habeeb, Rebecca L., Jessica Trebilco, Simon Wotherspoon, and Craig R. Johnson. "DETERMINING NATURAL SCALES OF ECOLOGICAL SYSTEMS." Ecological Monographs 75, no. 4 (November 2005): 467–87. http://dx.doi.org/10.1890/04-1415.

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45

Ugol’nitskii, G. A., and A. B. Usov. "Control of complex ecological-economic systems." Automation and Remote Control 70, no. 5 (May 2009): 897–906. http://dx.doi.org/10.1134/s0005117909050154.

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46

Fine, Marvin J. "Intervention from a systems-ecological perspective." Professional Psychology: Research and Practice 16, no. 2 (1985): 262–70. http://dx.doi.org/10.1037/0735-7028.16.2.262.

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47

Bourgeron, Patrick S., Hope C. Humphries, and Livio Riboli-Sasco. "Regional analysis of social-ecological systems." Natures Sciences Sociétés 17, no. 2 (April 2009): 185–93. http://dx.doi.org/10.1051/nss/2009031.

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48

Fath, Brian D. "Analyzing Ecological Systems Using Network Analysis." Ecological Questions 16 (December 19, 2012): 77. http://dx.doi.org/10.12775/v10090-012-0008-0.

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49

Casari, Marco, and Claudio Tagliapietra. "Group size in social-ecological systems." Proceedings of the National Academy of Sciences 115, no. 11 (February 22, 2018): 2728–33. http://dx.doi.org/10.1073/pnas.1713496115.

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Cooperation becomes more difficult as a group becomes larger, but it is unclear where it will break down. Here, we study group size within well-functioning social-ecological systems. We consider centuries-old evidence from hundreds of communities in the Alps that harvested common property resources. Results show that the average group size remained remarkably stable over about six centuries, in contrast to a general increase in the regional population. The population more than doubled, but although single groups experienced fluctuations over time, the average group size remained stable. Ecological factors, such as managing forest instead of pasture land, played a minor role in determining group size. The evidence instead indicates that factors related to social interactions had a significant role in determining group size. We discuss possible interpretations of the findings based on constraints in individual cognition and obstacles in collective decision making.

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50

Owen, Jeb P., Adam C. Nelson, and Dale H. Clayton. "Ecological immunology of bird-ectoparasite systems." Trends in Parasitology 26, no. 11 (November 2010): 530–39. http://dx.doi.org/10.1016/j.pt.2010.06.005.

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