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Copyright of Chinese Journal of Applied Ecology / Yingyong Shengtai Xuebao is the property of Chinese Journal of Applied Ecology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper proposed an adaptive data-harvesting approach for mobile-agent-assisted data collection in wireless sensor networks (WSN) inspired by behavioral ecology. By using the marginal value theorem, it divided the entire sensor field into small patches and gathered the correlated data from each patch. Each observation gathered by a given sensor node to be considered to be a marginal information source with a relative standard deviation. The mobile agent estimated the correlation based on the available knowledge gathered from the current patch and the previous patches and then chose the next visiting sensor node. Since, in a dynamically changing environment, the correlation varied among different patches, an efficient way to understand the correlation model was the key to efficient data harvesting. The proposed estimation technique of the marginal value theorem, which is called estimation technique based on the marginal value theorem (EMVT), is used to maintain the fidelity of the interested data with relatively fewer collected sensor observations. [ABSTRACT FROM AUTHOR]

Behavioral and physiological ecology are two important research aspects of ecological field. Related studies help us better understand the marine animal's habit and adaptability to environment. Antarctic krill (Euphausia superba, thereafter krill) is a key-stone species in the Southern Ocean. Understanding its behavioral and physiological ecology can understand the ability of marine organisms such as krill to cope with extreme environment. We summarized the typical ecological characteristics of krill from both aspects of behavioral ecology and physiological ecology. Behavioral ecology included its swarming (size and behavior) and swimming (angle, beat of pleopod), while physiological ecology included respiration, excretion, metabolism, molting and growth. Generally, the studies on behavioral and physiological ecology of krill were very limited, and many studies were based on land-based krill aquarium. In view of the large difference between land-based aquarium and natural environment of krill, it's extremely urgent to develop the in-situ experimental ecology of krill in the sea.