@article {9717,
	title = {Diversity and spatial variability of shallow benthic macrofaunal assemblages in a high-Arctic fjord (Young Sound, North-East Greenland)},
	journal = {Polar Biology},
	volume = {47},
	year = {2024},
	month = {Jan-04-2024},
	pages = {333 - 348},
	abstract = {Although knowledge of Arctic benthic biodiversity has increased considerably in recent decades, some regions, such asNortheast Greenland, remain poorly studied. The aim of this study was to complement a previous macrofaunal inventorycarried out in Young Sound, a High-Arctic fjord in this region (74{\textdegree}N). We sampled shallow benthic assemblages along asmall inner/outer fjord gradient, including one station previously prospected two decades ago and three new stations. Thissampling strategy revealed highly diversified benthic assemblages (166 species identified on a total sampling area of 1.32m2), which considerably increases the number of species recorded for the fjord (i.e. 225 species vs 100 previously recorded).The outermost station was dominated in abundance by various assemblages of bivalves, while the middle stations showedgreater species evenness, including numerous species of polychaetes, bivalves and crustaceans. The innermost station wasdominated by ostracods, gammarid amphipods and tube-dwelling polychaetes. Overall, benthic assemblages varied little between the four stations and the transect as a whole exhibited characteristics typical of outer fjord habitats, reflecting the rather moderate impact of meltwater inputs in this part of the fjord. Finally, trophic plasticity and omnivory were observed in most of the recorded macrobenthic species, highlighting the adaptability of these species to low trophic availability in the ecosystem. Future biodiversity studies will need to explore the innermost and deepest areas to provide a more comprehensive inventory and understanding of the influence of environmental conditions on the structure and functioning of Young Sound benthic habitats.},
	keywords = {Arctic fjord, benthic ecosystems, community structure, Macrofauna, meltwater inputs},
	issn = {0722-4060},
	doi = {10.1007/s00300-024-03235-y},
	url = {https://link.springer.com/article/10.1007/s00300-024-03235-y},
	author = {Bridier, Guillaume and Fr{\'e}d{\'e}ric Olivier and Pinsivy, Lucas and Jourde, J{\'e}r{\^o}me and Chauvaud, Laurent and Sejr, Mikael K. and Burel, Thomas and Le Duff, Michel and Grall, Jacques}
}
@article {7469,
	title = {Highly variable taxa-specific coral bleaching responses to thermal stresses},
	journal = {Marine Ecology Progress Series},
	volume = {648},
	year = {2020},
	month = {27-08-2020},
	pages = {135 - 151},
	abstract = {Complex histories of chronic and acute sea surface temperature (SST) stresses are expected to trigger taxon- and location-specific responses that will ultimately lead to novel coral communities. The 2016 El Ni{\~n}o-Southern Oscillation provided an opportunity to examine largescale and recent environmental histories on emerging patterns in 226 coral communities distributed across 12 countries from East Africa to Fiji. Six main coral communities were identified that largely varied across a gradient of Acropora to massive Porites dominance. Bleaching intensity was taxon-specific and was associated with complex interactions among the 20 environmental variables that we examined. Coral community structure was better aligned with the historical temperature patterns between 1985 and 2015 than the 2016 extreme temperature event. Additionally, bleaching responses observed during 2016 differed from historical reports during past warm years. Consequently, coral communities present in 2016 are likely to have been reorganized by both long-term community change and acclimation mechanisms. For example, less disturbed sites with cooler baseline temperatures, higher mean historical SST background variability, and infrequent extreme warm temperature stresses were associated with Acropora-dominated communities, while more disturbed sites with lower historical SST background variability and frequent acute warm stress were dominated by stress-resistant massive Porites corals. Overall, the combination of taxon-specific responses, community-level reorganization over time, geographic variation, and multiple environmental stressors suggest complex responses and a diversity of future coral communities that can help contextualize management priorities and activities.},
	keywords = {acclimation, Adaptation, Climate Change, community structure, Geography, Stress responses},
	issn = {0171-8630},
	doi = {10.3354/meps13402},
	url = {https://www.int-res.com/abstracts/meps/v648/p135-151/},
	author = {McClanahan, T.R. and Darling, E.S. and Maina, J.M. and Muthiga, NA and D{\textquoteright}agata, S. and Leblond, J. and Arthur, R. and Jupiter, S.D. and Wilson, S.K. and Mangubhai, S. and Ussi, A.M. and Mireille M.M. Guillaume and Humphries, A.T. and Patankar, V. and Shedrawi, G. and Pagu, J. and Grimsditch, G.}
}
@article {4745,
	title = {Structural bias in aggregated species-level variables driven by repeated species co-occurrences: a pervasive problem in community and assemblage data},
	journal = {Journal of Biogeography},
	year = {2017},
	month = {02/2017},
	abstract = {Aim Species attributes are often used to explain diversity patterns across assemblages/communities. However, repeated species co-occurrences can generate spatial pattern and strong statistical relationships between aggregated attributes and richness in the absence of biological information. Our aim is to increase awareness of this problem. Location North America. Methods We generated empirical species richness patterns using two data structures: (1) birds gridded from range maps and (2) tree communities from the US Forest Service{\textquoteright}s Forest Inventory and Analysis. We analysed richness using linear regression, regression trees, generalized additive models, geographically weighted regression and simultaneous autoregression, with {\textquoteleft}random intrinsic variables{\textquoteright} as predictors generated by assigning random numbers to species and calculating averages in assemblages. We then generated simulations in which species with cohesive or patchy distributions are placed with respect to the North American temperature gradient with or without a broad-scale richness gradient. Random intrinsic variables are again used as predictors of richness. Finally, we analysed one simulated scenario with random intrinsic variables as both response and predictor variables. Results The models of bird and tree richness often explained moderate to large proportions of the variance. Regression trees, geographically weighted regression and simultaneous autoregression were very sensitive to the problem; generalized additive models were moderately affected, as was multiple regression to a lesser extent. In the virtual data, the variance explained increased with increasing species co-occurrences, but neither range cohesion, a richness gradient nor spatial autocorrelation in predictors had major impacts on the variance explained. The problem persisted when the response variable was also a random intrinsic variable. Main conclusions Repeated species co-occurrences can generate strong spurious relationships between richness and aggregated species attributes. It is important to realize that models utilizing assemblage variables aggregated from species-level values, as well as maps illustrating their spatial patterns, cannot be taken at face value.},
	keywords = {community structure, community weighted means, geographical ecology, intrinsic variables, spatial analysis, species co-occurrence, species composition, species richness gradients, trait analysis},
	issn = {1365-2699},
	doi = {10.1111/jbi.12953},
	url = {http://dx.doi.org/10.1111/jbi.12953},
	author = {Hawkins, Bradford A. and Leroy, Boris and Rodr{\'\i}guez, Miguel {\'A}. and Singer, Alexander and Vilela, Bruno and Villalobos, Fabricio and Wang, Xiangping and Zelen{\'y}, David}
}
