@article {9825,
	title = {Acclimation capacity of Echinarachnius parma sand dollars enduring a highly seasonal sub-Arctic coastal system},
	journal = {Marine Ecology Progress Series},
	volume = {747},
	year = {2024},
	month = {May-10-2025},
	pages = {83 - 97},
	abstract = {Marine poikilotherm organisms have evolved several physiological strategies to acclimate to different thermal conditions occurring in coastal environments. This study aimed to describe the acclimation capacity of sand dollars Echinarachnius parma found in the highly seasonal sub-Arctic archipelago of Saint Pierre and Miquelon. Fatty acid composition was quantified in cell membranes and energy reserve of sand dollars collected at specific stations according to depth and seasons. We hypothesized that perceived temperatures, seasonal thermal conditions and the trophic environment may considerably influence E. parma fatty acid profiles. In the polar fraction, E. parma showed high relative contributions of eicosapentaenoic acid (20:5ω3; 28.5\%) followed by 16:0 (10.83\%), 14:0 (6.67\%) and 18:4ω3 (3.49\%). Whereas variations in 20:5ω3 relative contributions seemed to be mainly related to spawning events, docosahexaenoic acid (22:6ω3; 2.48\%) and arachidonic acid (20:4ω6; 2.49\%) varied according to the thermal gradient of the water column. Furthermore, the seasonal thermal internal wave acting throughout the archipelago appeared to lack sufficient intensity to trigger modifications in the polar concentration in individuals. In the neutral fraction, the strong dominance of diatom markers (20:5ω3; 24.2\% and 16:1ω7; 21.9\%) suggests that the diet of sand dollars mostly reflects the composition of the organic matter available over the sediment. Our study (1) highlights specific fatty acid functions in the metabolic regulation of echinoids, (2) defines the feeding ecology of sand dollars and (3) describes the effects of different thermal conditions on the physiology of locally adapted poikilotherm animals.},
	keywords = {Echinarachnius, Feeding ecology, Sand dollars, Thermal acclimation},
	issn = {0171-8630},
	doi = {10.3354/meps14692},
	url = {https://www.int-res.com/abstracts/meps/v747/p83-97/},
	author = {Uboldi, Thomas and Bridier, Guillaume and Fr{\'e}d{\'e}ric Olivier and Grall, Jacques and Chauvaud, Laurent and Tremblay, Rejean}
}
@article {7088,
	title = {Quantitative food web modeling unravels the importance of the microphytobenthos-meiofauna pathway for a high trophic transfer by meiofauna in soft-bottom intertidal food webs.},
	journal = {Ecological Modelling},
	volume = {430},
	year = {2020},
	abstract = {Meiofauna are known to have an important role on many ecological processes, although, their role in food web dynamics is often poorly understood, partially as they have been an overlooked and under sampled organism group. Here, we used quantitative food web modeling to evaluate the trophic relationship between meiofauna and their food sources and how meiofauna can mediate the carbon flow to higher trophic levels in five contrasting soft-bottom intertidal habitats (including seagrass beds, mudflats and sandflats). Carbon flow networks were constructed using the linear inverse model-Markov chain Monte Carlo technique, with increased resolution of the meiofauna compartments (i.e. biomass and feeding ecology of the different trophic groups of meiofauna) compared to most previous modeling studies. These models highlighted that the flows between the highly productive microphytobenthos and the meiofauna compartments play an important role in transferring carbon to the higher trophic levels, typically more efficiently so than macrofauna. The pathway from microphytobenthos to meiofauna represented the largest flow in all habitats and resulted in high production of meiofauna independent of habitat. All trophic groups of meiofauna, except for selective deposit feeders, had a very high dependency on microphytobenthos. Selective deposit feeders relied instead on a wider range of food sources, with varying contributions of bacteria, microphytobenthos and sediment organic matter. Ecological network analyses (e.g. cycling, throughput and ascendency) of the modeled systems highlighted the close positive relationship between the food web efficiency and the assimilation of high-quality food sources by primary consumers, e.g. meiofauna and macrofauna. Large proportions of these flows can be attributed to trophic groups of meiofauna. The sensitivity of the network properties to the representation of meiofauna in the models leads to recommending a greater attention in ecological data monitoring and integrating meiofauna into food web models. {\textcopyright} 2020 Elsevier B.V.},
	keywords = {Carbon, Carbon flow networks, deposit feeder, Deposits, Ecological network analysis, Ecological process, Ecosystems, Feeding, Feeding ecology, food web, Food web model, intertidal community, intertidal habitats, Inverse problems, linear inverse model, Linear inverse models, Markov chain Monte Carlo techniques, Markov chains, Meiofauna, Microphytobenthos, Monte Carlo methods, Phytobenthos, quantitative analysis, Sediment organic matters, soft-bottom environment, stable isotope mixing models, trophic level, Trophic relationships, Trophic structure},
	issn = {03043800 (ISSN)},
	doi = {10.1016/j.ecolmodel.2020.109129},
	author = {van der Heijden, L.H. and Nathalie Niquil and Haraldsson, M. and Asmus, R.M. and Pacella, S.R. and Graeve, M. and Rzeznik-Orignac, J. and Asmus, H. and Saint-B{\'e}at, B. and Lebreton, B.}
}
