Detection of spatial hot spots and variation for the neon flying squid Ommastrephes bartramii resources in the northwest Pacific Ocean

With the increasing effects of global climate change and fishing activities,the spatial distribution of the neon flying squid(Ommastrephes bartramii) is changing in the traditional fishing ground of 150°-160°E and 38°-45°N in the northwest Pacific Ocean.This research aims to identify the spatial hot and cold spots(i.e.spatial clusters) of O.bartramii to reveal its spatial structure using commercial fishery data from2007 to 2010 collected by Chinese mainland squid-j igging fleets.A relatively strongly-clustered distribution for O.bartramii was observed using an exploratory spatial data analysis(ESDA) method.The results show two hot spots and one cold spot in 2007 while only one hot and one cold spots were identified each year from2008 to 2010.The hot and cold spots in 2007 occupied 8.2%and 5.6%of the study area,respectively;these percentages for hot and cold spot areas were 5.8%and 3.1%in 2008,10.2%and 2.9%in 2009,and 16.4%and 11.9%in 2010,respectively.Nearly half(>45%) of the squid from 2007 to 2009 reported by Chinese fleets were caught in hot spot areas while this percentage reached its peak at 68.8%in 2010,indicating that the hot spot areas are central fishing grounds.A further change analysis shows the area centered at156°E/43.5°N was persistent as a hot spot over the whole period from 2007 to 2010.Furthermore,the hot spots were mainly identified in areas with sea surface temperature(SST) in the range of 15-20℃ around warm Kuroshio Currents as well as with the chlorophyll-a(chl-a) concentration above 0.3 mg/m^3.The outcome of this research improves our understanding of spatiotemporal hotspots and its variation for O.bartramii and is useful for sustainable exploitation,assessment,and management of this squid.

What Is the Role of FDI in Environmental Pollution？---Evidence ti＇om China

This paper analyzes the distribution patterns and spatial dynamic transitions of foreign direct investment （FDI） and pollution from 2000 to 2009 in China＇s provinces by using the comprehensive pollution index （CEPI） and exploratory spatial data analysis. Findings suggest that FDI as well as environmental pollution in our provinces exists an obvious spatial autocorrelation, both of them have remarkable characteristics of path dependence and form different accumulation areas. Currently, the accumulations of highlevel FDI correspond to low-level environmental pollution, while the accumulations of low-level FDI are associated with high-level environmental pollution. Furthermore, the authors have empirically analyzed the impact of FDI on China＇s environmental pollution by spatial error model （SEM） and spatial lag model （SLM） respeetively. Findings suggest that the geographical clustering of FDI has a positive impact on China＇s environment, in general, ＂Pollution Haven Hypothesis＂ is invalid in China. In addition, there are remarkable differences in the impact of FDI on environmental pollution due to different sources, the foreign capital from offshore financial centers has significantly alleviated pollution in China while that from developed countries in East Asia and the West has played an insignificant role in environmental pollution.