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The Janzen-Connell hypothesis proposes that species-specific enemies promote species coexistence through distance- and density-dependent survival of offspring near conspecific adults. I tested this hypothesis experimentally by transplanting juvenile-sized fragments of two species of brooding corals varying distances from conspecific adults, and observationally by assessing the spatial distribution of those two species in the field. Small fragments (as proxies for ?6 month old juveniles) of Pocillopora damicornis and Seriatopora hystrix were transplanted 3, 12, 24 and 182 cm upstream and downstream (relative to the prevailing current) of conspecific adults and their survivorship and condition (bitten off, overgrown by algae, or bleached) checked every 1-2 d. I also characterized the spatial distribution of P. damicornis and S. hystrix within replicated plots on three Fijian reef flats and measured densities of small colonies within 2 m of larger colonies of each species. Contrary to the Janzen-Connell hypothesis, juvenile-sized transplants exhibited no differences in survivorship as a function of distance from adult P. damicornis or S. hystrix and P. damicornis and S. hystrix were aggregated rather than overdispersed on natural reefs. Survival unaffected by distance from focal colonies as well as certain recruitment processes could generate the observed aggregation. I did observe predation of P. damicornis that was spatially patchy and temporally persistent due to feeding by the territorial triggerfish Balistapus undulatus. This patchy predation did not occur for S. hystrix. Thus, I found no support for the Janzen-Connell hypothesis, but did document hot-spots of species-specific corallivory that could create variable selective regimes on an otherwise more uniform environment, and help maintain the high diversity of corals typical of Indo-Pacific reefs.

Background Infection with Campylobacter is thought to account for about 5% - 14% of all food and waterborne diarrhoea cases worldwide. By international standards, New Zealand has extremely high rates of campylobacteriosis which are thought to be the highest reported rates worldwide. The incidence has been steadily increasing since 1980 (when the disease became notifiable), reaching a peak of cases in 2003 (396/100,000). Although different surveillance systems complicate international comparisons, New Zealand's particularly high rate still lacks a conclusive explanation. Aims This study investigates the geographical distribution of campylobacteriosis in New Zealand and the relative importance of factors assumed to be affecting the distribution of this disease, including those related to climate, landuse, water and food. The approach aims to explain why certain areas might increase the probability of becoming infected. Methodology A Geographical Information System (GIS) is used to visualise the disease rate, investigate potential disease clustering and identify outliers. Hierarchical regression, including the analysis of residuals, is applied to analyse the variables in their complex interrelation and to investigate whether there is statistical evidence explaining the geographical variation in campylobacteriosis. This study is undertaken at the territorial local authority level, as all required data are available at this spatial scale and covers the period 1997 to 2005. Results and conclusion There is a large geographical variation in campylobacteriosis across New Zealand, ranging from an average annual rate of 97/100,000 to 526/100,000 per territorial local authority (TLA). Generally, there is statistical evidence for global and local clustering of the disease rate. There are upper and lower outliers of campylobacteriosis in New Zealand; however, higher rates primarily appear in the South Island. The hierarchical modelling confirms statistical significance for some of the environmental and sociodemographic variables. The final model explains about 58% of the variation in campylobacteriosis, and the residuals reflect this variation relatively accurately in approximately 75% of all TLAs. Although the evaluation of the results is confronted with a number of challenges, it is concluded that socioeconomic and demographic factors are crucial factors in explaining the observed spatial patterns in the notification data.

No description available.

Background Infection with Campylobacter is thought to account for about 5% - 14% of all food and waterborne diarrhoea cases worldwide. By international standards, New Zealand has extremely high rates of campylobacteriosis which are thought to be the highest reported rates worldwide. The incidence has been steadily increasing since 1980 (when the disease became notifiable), reaching a peak of cases in 2003 (396/100,000). Although different surveillance systems complicate international comparisons, New Zealand's particularly high rate still lacks a conclusive explanation. Aims This study investigates the geographical distribution of campylobacteriosis in New Zealand and the relative importance of factors assumed to be affecting the distribution of this disease, including those related to climate, landuse, water and food. The approach aims to explain why certain areas might increase the probability of becoming infected. Methodology A Geographical Information System (GIS) is used to visualise the disease rate, investigate potential disease clustering and identify outliers. Hierarchical regression, including the analysis of residuals, is applied to analyse the variables in their complex interrelation and to investigate whether there is statistical evidence explaining the geographical variation in campylobacteriosis. This study is undertaken at the territorial local authority level, as all required data are available at this spatial scale and covers the period 1997 to 2005. Results and conclusion There is a large geographical variation in campylobacteriosis across New Zealand, ranging from an average annual rate of 97/100,000 to 526/100,000 per territorial local authority (TLA). Generally, there is statistical evidence for global and local clustering of the disease rate. There are upper and lower outliers of campylobacteriosis in New Zealand; however, higher rates primarily appear in the South Island. The hierarchical modelling confirms statistical significance for some of the environmental and sociodemographic variables. The final model explains about 58% of the variation in campylobacteriosis, and the residuals reflect this variation relatively accurately in approximately 75% of all TLAs. Although the evaluation of the results is confronted with a number of challenges, it is concluded that socioeconomic and demographic factors are crucial factors in explaining the observed spatial patterns in the notification data.

This research seeks to identify the political determinants that account for the uneven geographical distribution of foreign direct investment (FDI) across Chinese counties. I compare the political determinants of Taiwanese FDI (TDI) and non-Taiwanese FDI site selection across counties in China. I focus on the central-local politics in China, especially the effect of county government autonomy on FDI and TDI site selection. I investigate whether the effect of county government autonomy and its interaction with TDI agglomeration varies across the three economic regions of China (i.e. eastern, central, and western regions). I argue that county government autonomy is critical to attracting inflows of FDI, and its impact is conditional on the existing level of FDI in a given county. Counties with higher autonomy are able to make greater commitments to and involvement in the market economy, have more flexibility to give preferential treatment to FDI and to improve the local investment environment. With the political burden that Taiwanese investors face from the special military and political relationship across the Strait, I argue that TDI is more sensitive to county government autonomy not only for the economic gains like other foreign investors but also for pursuing local protection against the political uncertainties from Beijing and the social instabilities of the local population. I also argue that county government autonomy’s impact on TDI inflow is strongest in the central region due to the less dominating role of the geographic and cultural advantages enjoyed by the eastern region and its better economic, cultural, political and geographic conditions that are lacking in the western region. Using the System General Method of Moment model to analyze the county level FDI/TDI panel data sets, I find autonomy’s impact on future FDI inflows fades with the increases in the existing level of FDI but gets stronger with the increases in the existing level of TDI inflows. I also find county government autonomy’s impact is strongest for the central region when the existing TDI inflows are zero or at the national average level.

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This article explores the globalization of U. S. Major League Baseball (MLB), measured by the participation of foreign-born players in the sport from 1876 to 2005. Data show that the number of non-native athletes has been increasing since the end of World War II, suggesting that MLB is becoming a more globalized organization. An investigation at regional and country levels reveals that most foreign participants in the 1990s and early 21st century are from Latin America, especially the Dominican Republic. In contrast, most African, European, and Asian countries have shown little sign of participation. This implies that the global reach of MLB is limited. An empirical study of 2005 data suggests that prosperous countries, neighboring countries, or countries having a close political relationship with the U. S. tend to provide more athletes to MLB. In other words, the globalization of MLB is reliant on America's economic, cultural, and geographic proximity to the rest of the world.

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