scholarly journals Changes in motile benthic faunal community structure following large-scale oyster reef restoration in a subtropical estuary

Food Webs ◽  
2020 ◽  
Vol 25 ◽  
pp. e00177
Author(s):  
Zachary R. Jud ◽  
Craig A. Layman
2020 ◽  
Vol 639 ◽  
pp. 127-136 ◽  
Author(s):  
JW Reustle ◽  
DL Smee

Abiotic factors can influence the distribution of organisms through physiological tolerance limits and by affecting their sensory performance in critical life history functions such as foraging or predator avoidance. In estuaries, salinity and turbidity directly influence the distribution of organisms but the indirect, synergistic effects of these factors on trophic interactions and community structure remain obscure. We investigated the effects of salinity and turbidity on oyster reef communities by comparing oyster reef community structure in low vs. high turbidity in consecutive years that varied considerably in rainfall and ambient salinity levels. Turbidity had significant effects in both 2016 and 2017 by interfering with fish foraging ability and consumption. In turbid sites, fish predation decreased by ~21%, crab mesopredators were 11% larger and nearly 5 times more abundant due to reduced top-down control by fish, and oyster reef biodiversity was 12% lower. In 2016, oysters were 350% less abundant in sites with abundant crab predators. However, in 2017, salinity increased, facilitating a new predator (oyster drills Stramonita haemastoma) to emerge onto reefs, and oysters were 7 times less abundant in sites with oyster drills despite having fewer crab predators. Thus, salinity and turbidity can indirectly affect food webs by facilitating different predators and influencing their sensory performance. Turbidity had significant effects on estuarine food webs regardless of salinity levels, and like salinity, turbidity should also be considered in oyster reef restoration and management of estuarine ecosystems.


2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Melissa W Southwell ◽  
Jessica J Veenstra ◽  
Charles D Adams ◽  
Elizabeth V Scarlett ◽  
Kristy B Payne

2014 ◽  
Vol 89 ◽  
pp. 20-28 ◽  
Author(s):  
Megan La Peyre ◽  
Jessica Furlong ◽  
Laura A. Brown ◽  
Bryan P. Piazza ◽  
Ken Brown

2020 ◽  
Vol 10 (9) ◽  
pp. 3126
Author(s):  
Desheng Lyu ◽  
Bei Wang ◽  
Weizhe Zhang

With the development of network technology and the continuous advancement of society, the combination of various industries and the Internet has produced many large-scale complex networks. A common feature of complex networks is the community structure, which divides the network into clusters with tight internal connections and loose external connections. The community structure reveals the important structure and topological characteristics of the network. The detection of the community structure plays an important role in social network analysis and information recommendation. Therefore, based on the relevant theory of complex networks, this paper introduces several common community detection algorithms, analyzes the principles of particle swarm optimization (PSO) and genetic algorithm and proposes a particle swarm-genetic algorithm based on the hybrid algorithm strategy. According to the test function, the single and the proposed algorithm are tested, respectively. The results show that the algorithm can maintain the good local search performance of the particle swarm optimization algorithm and also utilizes the good global search ability of the genetic algorithm (GA) and has good algorithm performance. Experiments on each community detection algorithm on real network and artificially generated network data sets show that the particle swarm-genetic algorithm has better efficiency in large-scale complex real networks or artificially generated networks.


2011 ◽  
Vol 314-316 ◽  
pp. 2033-2036
Author(s):  
Fu Qiang Zhang ◽  
Ping Yu Jiang

Service-oriented manufacturing is a new manufacturing paradigm, which has appeared in large-scale enterprises cluster in recent years. In this paper, the property of community structure for service-oriented enterprises collaboration network (so-ECN) has been investigated. First, characteristics and modeling of so-ECN are presented. Then, implementing procedure of community structure is provided to evaluate the collaboration clustering behavior. Finally, the conclusions and future work are put forward.


Author(s):  
Y. Guo ◽  
P.J. Somerfield ◽  
R.M. Warwick ◽  
Z. Zhang

Freeliving marine nematodes were sampled on two occasions from an extensive grid of 20 stations in the Bohai Sea and its approaches. Differences within stations between sampling periods were small, resulting from small changes in abundance of dominant species. Differences between stations were significant, and were used to cluster stations into groups with similar species composition. These station groupings revealed a weak faunal gradient leading from the mouth of the Huanghe (Yellow River) to the Bohai Strait. Analyses relating faunal composition to environmental variables showed that there were significant differences in environmental variables between faunally-defined groups of stations. The variables most closely correlated with community structure were silt/clay and sand, depth, phaeopigment concentrations below the sediment surface, organic content and arsenic. These reflect natural processes within the Bohai Sea. A suite of univariate measures were related to distance from the river mouth, with a major discontinuity about 120 km into the Bohai Sea. Comparison of values of the biodiversity measures average taxonomic distinctness (Δ+) and variation in taxonomic distinctness (Λ+) suggest that the meiobenthos of the Bohai Sea as a whole is not under major pollution stress.


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