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Temporal variations of food web in a marine bay ecosystem based on LIM-MCMC model

Acta Oceanologica Sinica 2024年第8期43卷 79-88页

作者： Pengcheng Li Hu Zhang Chongliang Zhang Binduo Xu Yupeng Ji Yiping Ren Ying Xue Laboratory of Fisheries Ecosystem Monitoring and Assessment College of FisheriesOcean University of ChinaQingdao 266003China Field Observation and Research Station of Haizhou Bay Fishery Ecosystem Ministry of EducationQingdao 266003China Jiangsu Marine Fisheries Research Institute Nantong 226007China

Climate change has led to significant fluctuations in marine ecosystems,including alterations in the structure and function of food webs and ecosystem *** ecosystems are critical to the functioning of the earth’s lifesupporting ***,temporal variations in most of these ecosystems have remained unclear so *** this study,we employed a linear inverse model with Markov Chain Monte Carlo(LIM-MCMC)combined with ecological network analysis to reveal the temporal variations of the food web in Haizhou Bay of *** webs were constructed based on diet composition data in this ecosystem during the year of 2011 and *** indicated that there were obvious temporal variations in the composition of food webs in autumn of 2011 and *** number of prey and predators for most species in food web decreased in 2018 compared with 2011,especially for Trichiurus lepturus,zooplankton,Amblychaeturichthys hexanema,and Loligo *** network analysis showed that the complexity of food web structure could be reflected by comprehensive analysis of compartmentalized *** Bay ecosystem was more mature and stable in 2011,while the ecosystem’s self-sustainability and recovery from disturbances were accelerated from 2011 to *** findings contribute to our understanding of the dynamics of marine ecosystems and highlight the importance of comprehensive analysis of marine food *** work provides a framework for assessing and comparing temporal variations in marine ecosystems,which provides essential information and scientific guidance for the Ecosystem-based Fisheries Management.

关键词： LIM-MCMC ecological network analysis marine ecosystem food web

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Impact of Low-Impact Development Technologies from an ecological Perspective in Different Residential Zones of the City of Atlanta, Georgia

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Engineering 2018年第2期4卷 30-35页

作者： Zackery B. Morris Stephen M. Malone Abigail R. Cohen Marc J. Weissburg Bert Bras George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta GA 30332-0405 USA School of Biological Sciences Georgia Institute of Technology Atlanta GA 30332 USA

Low-impact development （LID） technologies have a great potential to reduce water usage and stormwa- ter runoff and are therefore seen as sustainable improvements that can be made to traditional water infrastructure, These technologies include bioretention areas, rainwater capturing, and xeriscaping, all of which can be used in residential zones, Within the City of Atlanta, residential water usage accounts for 53% of the total water consumption; therefore, residential zones offer significant impact potential for the implementation of LID, This study analyzes the use of LID strategies within the different residen- tial zones of the City of Atlanta from an ecological perspective by drawing analogies to natural ecosys- tems, The analysis shows that these technologies, especially with the addition of a graywater system, work to improve the conventional residential water network based upon these ecological metrics, The higher metric values suggest greater parity with healthy, natural ecosystems.

关键词： Low-impact development ecological network analysis Residential water consumption

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Industrial Ecosystems and Food Webs＂ An ecological-Based Mass Flow analysis to Model the Progress of Steel Manufacturing in China

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Engineering 2018年第2期4卷 45-53页

作者： Stephen M. Malone Marc J. Weissburg Bert Bras George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta GA 30332-0405 USA School of Biological Sciences Georgia Institute of Technology Atlanta GA 30332 USA

Materials and energy are transferred between natural and industrial systems, providing a standard that can be used to deduce the interactions between these systems, An examination of these flows is an essen- tial part of the conversation on how industry impacts the environment, We propose that biological sys- tems, which embody sustainability, provide methods and principles that can lead to more useful ways to organize industrial activity, Transposing these biological methods to steel manufacturing is manifested through an efficient use of available materials, waste reduction, and decreased energy demand with cur- rently available technology, In this paper, we use ecological metrics to examine the change in structure and flows of materials in the Chinese steel industry over time by means of a systems-based mass flow analysis, Utilizing available data, the results of our analysis indicate that the Chinese steel manufacturing industry has increased its efficiency and sustainable use of resources over time at the unit process level, However, the appropriate organization of the steel production ecosystem remains a work in progress, Our results suggest that through the intelligent placement of cooperative industries, which can utilize the waste generated from steel manufacturing, the future of the Chinese steel industry can better reflect ecosystem maturity and health while minimizing waste.

关键词： ecological network analysis Mass flow analysis Steel manufacturing

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