Description: Global change is defined here for this review as changes caused by increasing greenhouse gas emissions resulting in a high CO2 world and the direct and indirect changes that ensue. Increasing green house gas emissions are causing three major impacts on the ocean: warming sea surface temperature (SST), ocean acidification and deoxygenation (Turley et al 2011). The latter two are poorly understood at present, particularly in Eastern Africa. Secondary impacts include sea level rise due to melting polar ice caps. Coral bleaching and death caused by SST rise has been extensively studied and measured (HoeghGuldberg 1999; Hughes et al. 2003), including in the WIO (Obura 2005, McClanahan 2009), with likely ecosystem phase shifts as coral reefs become dominated by macroalgae (brown algae such as Turbinaria, Sargassum spp.) (Bellwood et al. 2004; Hughes et al. 2005). Ocean acidification is likely to have enormous impacts on marine resources and hence fisheries (Turley et al. 2011), as ocean chemistry is changed and thus any marine organisms that rely on Ph sensitive chemical reactions will be affected. This field is still relatively new and early reports predict trophic level shifts as organisms with calcium carbonate skeletons, e.g molluscs, corals, are compromised. Deoxygenation is caused by ocean warming (oxygen becomes less soluble) which will result in less growth of most marine organisms and a shift to low oxygen tolerant organisms, often microorganisms. Coastal environments and people are also undergoing changes that are directly related to human pressures caused by development and other activities. These include increasing population, mechanisation (eg in fisheries), industrialisation (eg ports and coastal cities), pollution, and extraction of oil and gas.

Description: Published

Description: Dear Sir, In June 2013, the Mallorca Group published revised guidelines for the clinical management of Lynch syndrome. 1 In the title, HNPCC (Hereditary NonPolyposis Colorectal Cancer) is equated with Lynch syndrome, continuing a misuse of terms that has fuelled confusion for many years. The two terms describe different, although overlapping, diseases: the distinction is critical to an accurate understanding of hereditary colorectal cancer. HNPCC is defined clinically, usually as families satisfying Amsterdam I or II criteria. 2 Lynch syndrome is defined genetically, by the presence of a germline mutation in DNA mismatch repair (MMR) or EPCAM genes. 3 Not all HNPCC families have Lynch syndrome and not all Lynch syndrome families have HNPCC. To determine the extent of the misuse of terms, we searched PubMed and Medline databases in 2013 for the keywords ‘Lynch syndrome’ and ‘HNPCC’. One hundred and sixty-seven unique references were found,...

Description: We quantify the rate of sea level rise around the Australian continent from an analysis of tide gauge and Global Positioning System (GPS) data sets. To estimate the underlying linear rates of sea level change in the presence of significant interannual and decadal variability (treated here as noise), we adopt and extend a novel network adjustment approach. We simultaneously estimate time-correlated noise as well as linear model parameters and realistic uncertainties from sea level time series at individual gauges, as well as from time-series differences computed between pairs of gauges. The noise content at individual gauges is consistent with a combination of white and time-correlated noise. We find that the noise in time series from the western coast of Australia is best described by a first-order Gauss–Markov model, whereas east coast stations generally exhibit lower levels of time-correlated noise that is better described by a power-law process. These findings suggest several decades of monthly tide gauge data are needed to reduce rate uncertainties to 〈0.5 mm yr –1 for undifferenced single site time series with typical noise characteristics. Our subsequent adjustment strategy exploits the more precise differential rates estimated from differenced time series from pairs of tide gauges to estimate rates among the network of 43 tide gauges that passed a stability analysis. We estimate relative sea level rates over three temporal windows (1900–2011, 1966–2011 and 1993–2011), accounting for covariance between time series. The resultant adjustment reduces the rate uncertainty across individual gauges, and partially mitigates the need for century-scale time series at all sites in the network. Our adjustment reveals a spatially coherent pattern of sea level rise around the coastline, with the highest rates in northern Australia. Over the time periods beginning in 1900, 1966 and 1993, we find weighted average rates of sea level rise of 1.4 ± 0.6, 1.7 ± 0.6 and 4.6 ± 0.8 mm yr –1 , respectively. While the temporal pattern of the rate estimates is consistent with acceleration in sea level rise, it may not be significant, as the uncertainties for the shorter analysis periods may not capture the full range of temporal variation. Analysis of the available continuous GPS records that have been collected within 80 km of Australian tide gauges suggests that rates of vertical crustal motion are generally low, with the majority of sites showing motion statistically insignificant from zero. A notable exception is the significant component of vertical land motion that contributes to the rapid rate of relative sea level change (〉4 mm yr –1 ) at the Hillarys site in the Perth area. This corresponds to crustal subsidence that we estimate in our GPS analysis at a rate of –3.1 ± 0.7 mm yr –1 , and appears linked to groundwater withdrawal. Uncertainties on the rates of vertical displacement at GPS sites collected over a decade are similar to what we measure in several decades of tide gauge data. Our results motivate continued observations of relative sea level using tide gauges, maintained with high-accuracy terrestrial and continuous co-located satellite-based surveying.