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Relevant bibliographies by topics / Lower Trophic Level (LTL) Model

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Academic literature on the topic 'Lower Trophic Level (LTL) Model'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Lower Trophic Level (LTL) Model"

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Beecham, J. A., J. Bruggeman, J. Aldridge, and S. Mackinson. "An approach for coupling higher and lower levels in marine ecosystem models and its application to the North Sea." Geoscientific Model Development Discussions 8, no. 7 (2015): 5577–618. http://dx.doi.org/10.5194/gmdd-8-5577-2015.

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Abstract. End to end modelling is an attractive and rapidly developing approach to solve developing strategies in marine systems science and management. However problems remain in the area of data matching and sub-model compatibility. A mechanism and novel interfacing system (Couplerlib) is presented whereby a physical/biogeochemical model (GOTM-ERSEM) that predicts dynamics of the lower trophic level (LTL) organisms in marine ecosystems is coupled to a dynamic ecosystem model (Ecosim) that predicts food-web interactions among higher trophic level (HTL) organisms. Coupling is achieved by means

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Beecham, Jonathan, Jorn Bruggeman, John Aldridge, and Steven Mackinson. "<i>Couplerlib</i>: a metadata-driven library for the integration of multiple models of higher and lower trophic level marine systems with inexact functional group matching." Geoscientific Model Development 9, no. 3 (2016): 947–64. http://dx.doi.org/10.5194/gmd-9-947-2016.

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Abstract. End-to-end modelling is a rapidly developing strategy for modelling in marine systems science and management. However, problems remain in the area of data matching and sub-model compatibility. A mechanism and novel interfacing system (Couplerlib) is presented whereby a physical–biogeochemical model (General Ocean Turbulence Model–European Regional Seas Ecosystem Model, GOTM–ERSEM) that predicts dynamics of the lower trophic level (LTL) organisms in marine ecosystems is coupled to a dynamic ecosystem model (Ecosim), which predicts food-web interactions among higher trophic level (HTL)

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Pshenichnikova, Tatyana V., Svetlana E. Ushakova, and Michail V. Alexandrov. "The Importance of Insulin Resistance Assessing as the Effectiveness Predictor in Rehabilitation and Observation of Patients after Acute Myocardial Infarction." Bulletin of Rehabilitation Medicine 20, no. 3 (2021): 59–66. http://dx.doi.org/10.38025/2078-1962-2021-20-3-59-66.

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One of the goals for the management of patients after acute myocardial infarction is to achieve and maintain the optimal level of lowdensitylipoproteins (LDL), which is a factor that determines the prognosis in patients with coronary heart disease. A relevant objectiveis to extract from a number of trophic indicators that indicate disturbance in the adipose tissue distribution and functioning and thatincrease the risk of repeated cardiovascular disasters, the predictors of the low-density lipoprotein targets achieving effectivenessduring rehabilitation and subsequent dispensary follow-up of pa

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Reed, Jodie, Lynne Shannon, Laure Velez, et al. "Ecosystem indicators—accounting for variability in species’ trophic levels." ICES Journal of Marine Science 74, no. 1 (2016): 158–69. http://dx.doi.org/10.1093/icesjms/fsw150.

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Trophic level (TL)-based indicators are commonly used to track the ecosystem effects of fishing as the selective removal of organisms from the food web may result in changes to the trophic structure of marine ecosystems. The use of a fixed TL per species in the calculation of TL-based indicators has been questioned, given that species’ TLs vary with ontogeny, as well as over time and space. We conducted a model-based assessment of the performance of fixed TL-based indicators vs. variable TL-based indicators for tracking the effects of fishing pressure. This assessment considered three TL-based

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Yanagi, Tetuo, and Goh Onizuka. "Numerical Model on the Lower Trophic Level Ecosystem in Hakata Bay." Oceanography in Japan 8, no. 4 (1999): 245–51. http://dx.doi.org/10.5928/kaiyou.8.245.

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Kearney, Kelly, Albert Hermann, Wei Cheng, Ivonne Ortiz, and Kerim Aydin. "A coupled pelagic–benthic–sympagic biogeochemical model for the Bering Sea: documentation and validation of the BESTNPZ model (v2019.08.23) within a high-resolution regional ocean model." Geoscientific Model Development 13, no. 2 (2020): 597–650. http://dx.doi.org/10.5194/gmd-13-597-2020.

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Abstract. The Bering Sea is a highly productive ecosystem, supporting a variety of fish, seabird, and marine mammal populations, as well as large commercial fisheries. Due to its unique shelf geometry and the presence of seasonal sea ice, the processes controlling productivity in the Bering Sea ecosystem span the pelagic water column, the benthic sea floor, and the sympagic sea ice environments. The Bering Ecosystem Study Nutrient-Phytoplankton-Zooplankton (BESTNPZ) model has been developed to simulate the lower-trophic-level processes throughout this region. Here, we present a version of this

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Yoshie, Naoki, Yasuhiro Yamanaka, Kenneth A. Rose, David L. Eslinger, Daniel M. Ware, and Michio J. Kishi. "Parameter sensitivity study of the NEMURO lower trophic level marine ecosystem model." Ecological Modelling 202, no. 1-2 (2007): 26–37. http://dx.doi.org/10.1016/j.ecolmodel.2006.07.043.

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Zuenko, Yury I. "Application of a lower trophic level model to a coastal sea ecosystem." Ecological Modelling 202, no. 1-2 (2007): 132–43. http://dx.doi.org/10.1016/j.ecolmodel.2006.07.044.

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Kishi, Michio J., Makoto Kashiwai, Daniel M. Ware, et al. "NEMURO—a lower trophic level model for the North Pacific marine ecosystem." Ecological Modelling 202, no. 1-2 (2007): 12–25. http://dx.doi.org/10.1016/j.ecolmodel.2006.08.021.

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Alleway, Heidi K., Sean D. Connell, Tim M. Ward, and Bronwyn M. Gillanders. "Historical changes in mean trophic level of southern Australian fisheries." Marine and Freshwater Research 65, no. 10 (2014): 884. http://dx.doi.org/10.1071/mf13246.

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Decreases in the mean trophic level (MTL) of fishery catches have been used to infer reductions in the abundance of high trophic level species caused by fishing pressure. Previous assessments of southern Australian fisheries have been inconclusive. The objectives of the present study were to provide more accurate estimates of MTL using disaggregated taxonomic and spatial data. We applied the model of MTL to fisheries catch statistics for the state of South Australia from 1951 to 2010 and a novel set of historical market data from 1936 to 1946. Results show that from 1951 to 2010, MTL declined

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Books on the topic "Lower Trophic Level (LTL) Model"

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Report of the 1999 MONITOR, and REX workshops, and the 2000 MODEL Workshop on Lower Trophic Level Modelling. North Pacific Marine Science Organization, 2000.

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Book chapters on the topic "Lower Trophic Level (LTL) Model"

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Polis, Gary A., and Yael Lubin. "How Can High Animal Diversity Be Supported in Low-Productivity Deserts?: The Role of Macrodetritivory and Habitat Physiognomy." In Biodiversity in Drylands. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195139853.003.0007.

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On large spatial scales, species diversity is typically correlated positively with productivity or energy supply (Wright et al. 1993, Huston 1994, Waide et al. 1999). In line with this general pattern, deserts are assumed to have relatively few species for two main reasons. First, relatively few plants and animals have acquired the physiological capabilities to withstand the stresses exerted by the high temperatures and shortage of water found in deserts (reviewed by Noy-Meir 1974, Evenari 1985, Shmida et al. 1986). A second, more ecological mechanism is resource limitation. In deserts, the lo

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Conference papers on the topic "Lower Trophic Level (LTL) Model"

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"Coupling of an individual-based model with a complex aquatic ecosystem model to explore the impact of the upper trophic level on lower trophic levels." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.i7.makler_pick.

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Fong, Jeffrey T., N. Alan Heckert, James J. Filliben, and Marvin J. Cohn. "Uncertainty in Multi-Scale Creep Rupture Life Modeling and a New Approach to Estimating Frequency of In-Service Inspection of Components at Elevated Temperatures." In ASME 2018 Symposium on Elevated Temperature Application of Materials for Fossil, Nuclear, and Petrochemical Industries. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/etam2018-6711.

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Uncertainty in modeling the creep rupture life of a full-scale component using experimental data at microscopic (Level 1), specimen (Level 2), and full-size (Level 3) scales, is addressed by applying statistical theory of prediction intervals, and that of tolerance intervals based on the concept of coverage, p. Using a nonlinear least squares fit algorithm and the physical assumption that the one-sided Lower Tolerance Limit ( LTL ), at 95 % confidence level, of the creep rupture life, i.e., the minimum time-to-failure, minTf, of a full-scale component, cannot be negative as the lack or “Failur

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Kitazawa, Daisuke, Keiichiro Hakuta, Nobuyuki Yamayoshi, and Shigeru Tabeta. "Field Measurement and Modelling of the Material Cycle in the Cultivation Pond of Penaeid Shrimp Penaeus Japonicus." In ASME 2007 26th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2007. http://dx.doi.org/10.1115/omae2007-29662.

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Field measurement and modelling of the material cycle are carried out for the cultivation pond of penaeid shrimp Penaeus japonicus. The main purpose of the present study is to investigate the sustainability of coastal shrimp aquaculture, which is increasingly being questioned due to many problems like disease, excessive nutrient enrichment, and low levels of dissolved oxygen tension. Despite the great economic importance of shrimps and their suitability to aquaculture, little is known about the material cycle through the cultivation pond. Additionally, the collapse of shrimp aquaculture in mos

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