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Abstract Automated positioning devices can generate large datasets with information on the movement of humans, animals and objects, revealing patterns of movement, hot spots and overlaps among others. However, in the case of Automated Information Systems (AIS), attached to vessels, observed strange behaviors in the tracking datasets may come from intentional manipulation of the electronic devices. Thus, the analysis of anomalies can provide valuable information on suspicious behavior. Here, we analyze anomalies of fishing vessel trajectories obtained with the Automatic Identification System. The map of silent anomalies, those that occur when positioning data are absent for more than 24 hours, shows that they are most likely to occur closer to land, with 87.1% of anomalies observed within 100 km of the coast. This behavior suggests the potential of identifying silence anomalies as a proxy for illegal activities. With the increasing availability of high-resolution positioning of vessels and the development of powerful statistical analytical tools, we provide hints on the automatic detection of illegal activities that may help optimize the management of fishing resources.
1. The hypothesis that herbivory pressure (defined as the per cent of the photosynthetic tissue biomass and production consumed daily by herbivores) increases with increasing plant growth rate was tested. The basis for the test was a compilation of 56 published reports on biomass, production and herbivory, from a wide range of aquatic and terrestrial plant communities. 2. Herbivory was independent of ecosystem primary production and the fraction of plant production and biomass daily consumed by herbivores increased as the 0.6 and 1.6 power of plant turnover rate, respectively. 3. These results suggest that the tendency of fast-growing plants to support lower biomass of photosynthetic tissues than slow-growing ones can be accounted for by the tendency of herbivore control of plant biomass and production to increase with increasing plant growth rate
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 290:291-296 (2005) - doi:10.3354/meps290291 Clonality in seagrasses, emergent properties and seagrass landscapes Gary A. Kendrick1,*, Carlos M. Duarte2, Núria Marbà2 1School of Plant Biology, The University of Western Australia, 35 Stirling Highway, Crawley, Western Australia 6009, Australia2Instituto Mediterraneo de Estudios Avanzados, (IMEDEA, CSIC-UIB), Miquel Marques 21, 07190 Esporles Islas Baleares, Spain *Email: garyk@cyllene.uwa.edu.au ABSTRACT: Seagrasses are clonal monocots that dominate shallow subtidal coastal and estuarine environments worldwide. They are important for their relatively high productivity and their role in coastal sediment stabilization, as habitat and food for invertebrates, fishes, turtles, dugongs and manatees, and as a source for detrital food webs. Seagrasses grow through the iteration of a vegetative ramet, consisting of leaves capable of photosynthesizing attached to a shoot, a portion of rhizome and associated roots. Seagrass research has in the past focused on either the study of growth of the ramet or changes of seagrass distributions over 1000s of ha to 1000s of km2. There has been little attempt to link these scales. Interestingly, growth and space occupation of both measured and modelled patches of seagrasses have been found to be faster than predicted from the growth and iteration, through branching, of ramets. Similarly, predicted radial spread of patches does not agree with observed changes in the distribution of seagrasses in shallow subtidal landscapes. This review assesses the links between growth of ramets and patches of seagrasses and the spread, infilling and distribution of seagrasses in shallow subtidal landscapes. We explore the potential that accelerated growth of patches and seagrass landscapes are an emergent property of ramet growth. KEY WORDS: Seagrasses · Clonal growth · Ramets · Patch dynamics · Emergence · Subtidal landscapes Full text in pdf format PreviousExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 290. Online publication date: April 13, 2005 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2005 Inter-Research.
ABSTRACT: A survey of 31 Florida spring‐runs was conducted to estimate their submerged macrophyte standing crop and primary productivity. The standing crops of submerged vegetation were not significantly (p > 0.05) correlated to either total nitrogen (r = 0) or total phosphorus (r =−0.20) concentrations, but standing crops were significantly (p < 0.01) correlated to the percentage of the spring‐run's water surface shaded by marginal vegetation (r =−0.76). Maximum daily rates of primary productivity were positively correlated with average submerged macrophyte standing crops (r = 0.81; p < 0.001) and inversely correlated with the degree of shading by marginal vegetation (r =− 0.43; p < 0.05).