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Article Reference A new genus of Pseudospirobolellidae (Diplopoda, Spirobolida) from limestone karst areas in Thailand, with descriptions of three new species
Located in Library / RBINS Staff Publications 2022
Article Reference Morphological and Genetic Divergence in a Gill Monogenean Parasitizing Distant Cichlid Lineages of Lake Tanganyika: Cichlidogyrus nshomboi (Monogenea: Dactylogyridae) from Representatives of Boulengerochromini and Perissodini
Located in Library / RBINS Staff Publications 2022
Article Reference Rissoina ponderi n. sp. (Caenogastropoda: Rissoinidae) a new endemic species from New South Wales and a comparison with the related species Rissoina elegantula Angas, 1880
Located in Library / RBINS Staff Publications 2022
Article Reference Solving a taxonomic puzzle: integrative taxonomy reveals new cryptic and polymorphic species of Oscarella in south-eastern Brazil (Homoscleromorpha : Oscarellidae)
Located in Library / RBINS Staff Publications 2022
Article Reference DNA Identification and Diversity of the Vector Mosquitoes Culex pipiens s.s. and Culex torrentium in Belgium (Diptera: Culicidae)
Located in Library / RBINS Staff Publications 2022
Article Reference A new species of the genus Macrosemia from Vietnam
Located in Library / RBINS Staff Publications 2022
Article Reference A new Atocrates J. Thomson, 1860 (Coleoptera: Trictenotomidae) from Dayaoshan, S China: The importance of biodiversity refugia
Located in Library / RBINS Staff Publications 2022
Article Reference Choristella leptalea Bush, 1897 (Vetigastropoda: Choristellidae), content analysis of a spent skate egg case collected in the southwestern Icelandic deep-water
Located in Library / RBINS Staff Publications 2022
Article Reference Premier signalement en Belgique de Phloeotribus liminaris (Harris, 1852), un scolyte nord-américain introduit en Europe (Coleoptera, Curculionidae, Scolytinae)
Located in Library / RBINS Staff Publications 2021
Article Reference Control of simulated ocean ecosystem indicators by biogeochemical observations
To protect marine ecosystems threatened by climate change and anthropic stressors, it is essential to operationally monitor ocean health indicators. These are metrics synthetizing multiple marine processes relevant to the users of operational services. Here we assess if selected ocean indicators simulated by operational models can be controlled (here meaning constrained effectively) by biogeochemical observations, by using a newly proposed methodological framework. The method consists in firstly screening the sensitivities of the indicators with respect to the initial conditions of the observable variables. These initial conditions are perturbed stochastically in Monte Carlo simulations of one-dimensional configurations of a multi-model ensemble. Then, the models are applied in three-dimensional ensemble assimilation experiments, where the reduction of the ensemble variance corroborates the controllability of the indicators by the observations. The method is applied for ten relevant ecosystem indicators (ranging from inorganic chemicals to plankton production), seven observation types (representing data from satellite and underwater platforms), and an ensemble of five biogeochemical models of different complexity, employed operationally by the European Copernicus Marine Service. We demonstrate that all the indicators are controlled by one or more types of observations. In particular, the indicators of phytoplankton phenology are controlled and improved by the merged observations from the surface ocean colour and chlorophyll profiles. Similar observations also control and reduce the uncertainty of the plankton community structure and production. However, the uncertainty of the trophic efficiency and POC increases when assimilating chlorophyll-a data, though observations were not available to assess whether that was due to a worsen model skill. We recommend that the assessment of controllability proposed here becomes a standard practice in designing operational monitoring, reanalysis and forecast systems, to ultimately provide the users of operational services with more precise estimates of ocean ecosystem indicators.
Located in Library / RBINS Staff Publications 2023