TL;DR: The results showed that Chinese mitten crab is a nutritious food and an excellent source of minerals, particularly zinc, iron, copper and phosphorus.
TL;DR: Metal levels in legs of crabs, and heads and skins of fishes showed significant correlations with those in their living environments, and Collichthys lucidus is an effective bioindicator for assessing metal levels in water.
TL;DR: It is indicated that microplastics affect immune enzyme activity and immune-related gene expression and change the diversity and composition of the intestinal microflora in E. sinensis.
TL;DR: With increasing temperature, both overall survival and range of salinity tolerance increased, whereas development duration decreased exponentially, and regression equations describing this relationship are given.
Abstract: Larvae of the Chinese mitten crab Eriocheir sinensis were reared in the laboratory under 25 different combinations of constant temperature (6 to 18 degree C) and salinity (10 to 32 ppt S). Different schedules of changing salinity were tested only in the final larval stage, the megalopa. Pelagic larval development comprises a total of 5 zoeal stages and 1 megalopa. An additional (stage VI) zoea and in one case an additional megalopa (transitional to the juvenile) were occasionally observed under unfavourable conditions with low salinity ( less than or equal to 15 ppt S). Successful development from hatching to metamorphosis occurred only at temperatures greater than or equal to 12 degree C. With increasing temperature, both overall survival and range of salinity tolerance increased, whereas development duration decreased exponentially. Regression equations describing this relationship are given for different larval stages and salinities.
TL;DR: This study illustrates that the combination of environmental niche- and vector-based models can provide managers with more precise estimates of invasion risk than can either of these approaches alone.
Abstract: The Chinese mitten crab (Eriocheir sinensis) is native to east Asia, is established throughout Europe, and is introduced but geographically restricted in North America. We developed and compared two separate environmental niche models using genetic algorithm for rule set prediction (GARP) and mitten crab occurrences in Asia and Europe to predict the species' potential distribution in North America. Since mitten crabs must reproduce in water with >15%o salinity, we limited the potential North American range to freshwater habitats within the highest documented dispersal distance (1260 km) and a more restricted dispersal limit (354 km) from the sea. Applying the higher dispersal distance, both models predicted the lower Great Lakes, most of the eastern seaboard, the Gulf of Mexico and southern extent of the Mississippi River watershed, and the Pacific northwest as suitable environment for mitten crabs, but environmental match for southern states (below 35° N) was much lower for the European model. Use of the lower range with both models reduced the expected range, especially in the Great Lakes, Mississippi drainage, and inland areas of the Pacific Northwest. To estimate the risk of introduction of mitten crabs, the amount of reported ballast water discharge into major United States ports from regions in Asia and Europe with established mitten crab populations was used as an index of introduction effort. Relative risk of invasion was estimated based on a combination of environmental match and volume of unexchanged ballast water received (July 1999-December 2003) for major ports. The ports of Norfolk and Baltimore were most vulnerable to invasion and establishment, making Chesapeake Bay the most likely location to be invaded by mitten crabs in the United States. The next highest risk was predicted for Portland, Oregon. Interestingly, the port of Los Angeles/Long Beach, which has a large shipping volume, had a low risk of invasion. Ports such as Jacksonville, Florida, had a medium risk owing to small shipping volume but high environmental match. This study illustrates that the combination of environmental niche- and vector-based models can provide managers with more precise estimates of invasion risk than can either of these approaches alone.