g., Palbociclib MODIS (http://modis.gsfc.nasa.gov/; SeaWIFS http://oceancolor.gsfc.nasa.gov/SeaWiFS/; Global surface productivity models http://www.science.oregonstate.edu/ocean.productivity). Flux of surface productivity that reaches the seafloor is particularly important for benthic assemblages, and global maps of POC flux at the seafloor exist (e.g., Alvarez et al., 2009, Lutz et al., 2007 and Yool et al., 2007). Productivity data are, however, rarely available at the scale of individual seamounts and hence spatial interpolations from coarser-grained models must be used when evaluating this criterion. This criterion defines areas that contain

a comparatively higher diversity of ecosystems, habitats, communities or species, or have higher genetic diversity (CBD, 2009a). Data on biological diversity include maps of common indices of diversity (e.g., http://www.iobis.org/maps). The species composition of deep-sea fish

faunas is reasonably well known, and diversity maps have been made from predictive models of fish species distributions at global (e.g., Froese and Pauly, 2013) and regional scales (e.g., Leathwick et al., 2006). Knowledge is less Venetoclax order complete for invertebrates, although coarse-scale predictions of species richness for some taxa are beginning to be made (e.g., Tittensor et al., 2010). Robust estimates of biological diversity are very rare for seamounts even at a regional scale, although species richness data for some taxa (e.g., ophiuroids, galatheid decapods) have been collected from a number of seamounts (e.g., O’Hara and Tittensor, 2010 and Rowden et al., 2010b). Globally, OBIS provides diversity estimates at a coarse resolution of 5° (http://www.iobis.org/maps), and may be the most comprehensive data source when more detailed regional information is unavailable. However, caution is needed using such global data as they are incomplete, and subject to biases from,

for example, uneven sample sizes and sampling effort between locations (see Fig. 4 of Williams et al., 2010b). This criterion defines areas with a comparatively higher degree of naturalness 3-mercaptopyruvate sulfurtransferase as a result of the lack of, or low levels of, human disturbance or degradation (CBD, 2009a). The main threatening processes for the deep-sea are bottom trawling and imminent seabed mining (Ramirez-Llodra et al., 2011 and Smith et al., 2008). There are global and regional maps of fishing pressure (e.g., Halpern et al., 2008), and marine protected areas (MPAs) within national boundaries may also be a promising useful proxy of ‘naturalness’. The impacts of fishing on seamounts have been well documented (e.g., Clark and Koslow, 2007), and the possible effects of seabed mining on seamounts are being evaluated (Schlacher et al., 2013 and Van Dover et al., 2012). There are detailed estimates of fishing pressure for seamounts (Clark and Tittensor, 2010 and Clark et al., 2007). Each EBSA criterion may be used individually or in combination with others.