Interim Report of the Working Group on Ecosystem Assessment of Western European Shelf Seas

The ICES Working Group on Ecosystem Assessment of Western European Shelf Seas (WGEAWESS) meeting was held in Lisbon (Portugal), on 24–28 April 2017. The meeting was attended by 8 participants from 4 countries and chaired by Steven Beggs, Northern Ireland (UK). This was the first year of the new 3-year Terms of Reference (ToR) for WGEAWESS. The main activities for the group at the 2017 meeting were to discuss progress and further development of work towards the ToRs a) Continue metadata compilation for all ecosystem components available for IEA development, b) Continue evaluation of data and trends for a regional Integrated Ecosystem Assessment (IEA). Identify ecosystem trends relevant to stock assessment and management. As an outcome of specific objectives to integrate the activities of WGEAWESS with sister IEA groups, the meeting was held back to back with both the ICES/HELCOM Working Group on Integrated Assessments of the Baltic Sea (WGIAB) and the Working Group on Comparative Analyses between European Atlantic and Mediterranean marine ecosystems to move towards an Ecosystem-based Approach to Fisheries (WGCOMEDA). This back to back meeting had many advantages and provided much opportunity for group integration and future collaboration

Groundfish surveys in the Atlantic Iberian waters (ICES Divisions VIIIc and IXa): history and perspectives

Spanish Oceanogrnphic Institute (IEO) and Portuguese Research Inistitute (IPIMAR, ex-INIP) using their research vessels "Comide de Saavedra" and "Noruega" have conducted groundfish surveys in Spanish and Portuguese waters. The results of these surveys have been reported to the relevant ICES Working Groups, communicated to ICES Annual Conferences and/or published in journals of bioiogy and flsheries. Data collected from groundfish surveys were also the basis to carry out assemblage studies and to several advices to the Spanish, Porttuguese and European fishery administrations concerning the implementation of technical measures for fish stock management. This communication intends to give information about the past, the present and the future of these surveys, concerning objectives, methodology and publications. Critical aspects and solutions to improve some aspects are presented

Species richness in North Atlantic fish: Process concealed by pattern.

Aim: Previous analyses of marine fish species richness based on presence-absence data have shown changes with latitude and average species size, but little is known about the underlying processes. To elucidate these processes we use metabolic, neutral and descriptive statistical models to analyse how richness responds to maximum species length, fish abundance, temperature, primary production, depth, latitude and longitude, while accounting for differences in species catchability, sampling effort and mesh size. Data: Results from 53,382 bottom trawl hauls representing 50 fish assemblages. Location: The northern Atlantic from Nova Scotia to Guinea. Time period: 1977–2013. Methods: A descriptive generalized additive model was used to identify functional relationships between species richness and potential drivers, after which nonlinear estimation techniques were used to parameterize: (a) a ‘best’ fitting model of species richness built on the functional relationships, (b) an environmental model based on latitude, longitude and depth, and mechanistic models based on (c) metabolic and (d) neutral theory. Results: In the ‘best’ model the number of species observed is a lognormal function of maximum species length. It increases significantly with temperature, primary production, sampling effort, and abundance, and declines with depth and, for small species, with the mesh size in the trawl. The ‘best’ model explains close to 90% of the deviance and the neutral, metabolic and environmental models 89%. In all four models, maximum species length and either temperature or latitude account for more than half of the deviance explained. Main conclusions: The two mechanistic models explain the patterns in demersal fish species richness in the northern Atlantic almost equally well. A better understanding of the underlying drivers is likely to require development of dynamic mechanistic models of richness and size evolution, fit not only to extant distributions, but also to historical environmental conditions and to past speciation and extinction rate

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora