The longicorn beetles belonging to the genus MesechthistatusBreuning., 1950 (Coleoptera: Cerambycidae) cannot fly since their hindwings are atrophied. This slows down gene flow between local populations. Currently, it is considered that the genus contains four endemic species from the eastern Honshu Is., Japan, M. binodosus, M. furciferus, M. taniguchii and M. fujisanus, that are distributed parapatrically. Sequence analyses of the cytochrome oxidase subunit I gene suggests that lineages of mitochondrial haplotypes split approximately in the same era. However, this result is not consistent with the monophyly of morphological species. The estimated evolutionary rate of the COI gene in other insects suggests that mitochondrial haplotypes of Mesechthistatus differentiated at the end of the Pliocene epoch during the Tertiary era.
Kujiberothateruyukiigen. et sp. n., a remarkable new genus and species of Rhachiberothidae, is described from Upper Cretaceous amber from the Kuji area in northeastern Japan. This discovery represents the first record of this family both from Japan and from East Asia. This fossil taxon has the largest foreleg in the subfamily Paraberothinae found to date and its discovery implies that this group had higher morphological diversity in the Cretaceous than it does now. This finding also stresses the importance of the insect inclusions in Kuji amber, which have not been well explored in spite of their potential abundance.
The autonomous decentralized system is a system whose functional order is generated only by cooperative interactions among its subsystems. In other words, the system does not have any supervisor for the entire system. Instead, each subsystem has the autonomy to control each part of the system. But, that system has not been realized yet as an artificial. Fortunately, there are many examples of the autonomous decentralized system in the biological and ecological world. In this paper, we consider a fish school as an autonomous decentralized system. The schooling mechanism of a fish behavior is studied by using modeling and simulation techniques. A water tank experiment was carried out to obtain an observation data for fish behavior and to know a special feature of a school. The unknown parameters included in the model were estimated by using a water tank experiment data. The relationship between the information obtained by each individual and the state of school was investigated.
N. 2004. Mathematical model of fish schooling behaviour in a set-net. e ICES Journal of Marine Science, 61: 1214e1223.We investigated the validity of a mathematical model to describe fish schooling behaviour towards a simple set-net model. We apply a model considered to be ''an autonomous decentralized system'' and based on Newton's equation of motion. It includes the parameter M, which indicates ''the quantity of information exchange'' (i.e. the number of neighbours that affect an individual's behaviour) and strongly affects fish school size and schooling behaviour in an enclosed space. To evaluate the model, simulations of fish schooling behaviour in a set-net model consisting of a leading fence and a box-shaped trap similar to a primitive type of set-net were compared with experimentally observed behaviour of bitterling and mackerel, with a focus on M. A small M induces improper behaviour because there is low cooperation among fish in a school. On the other hand, if M is too large, improper simulation results of individuals in deadlock states in the trap are obtained as a result of excessive information exchange among the fish. The results suggest that the mathematical model can describe the behaviour in a set-net model adequately when M is greater than 2 and less than 10.
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