1.Rivadeneira, M. M. et al. Testing the abundant-centre hypothesis using intertidal porcelain crabs along the Chilean coast: Linking abundance and life-history variation. J. Biogeogr. 37, 486–498 (2010).
Google Scholar
2.Hutchins, L. W. The bases for temperature zonation in geographical distribution. Ecol. Monogr. 17, 325–335 (1947).
Google Scholar
3.Lewis, J. R. Latitudinal trends in reproduction, recruitment and population characteristics of some rocky littoral molluscs and cirripedes. Hydrobiologia 142, 1–13 (1986).
Google Scholar
4.Bernardo, J. The particular maternal effect of propagule size, especially egg size: Patterns, models, quality of evidence and interpretations. Am. Zool. 36, 216–236 (1996).
Google Scholar
5.Thorson, G. Reproductive and larval ecology of marine bottom invertebrates. Biol. Rev. 25, 1–45 (1950).CAS
PubMed
Google Scholar
6.Marshall, D. J., Pettersen, A. K. & Cameron, H. A global synthesis of offspring size variation, its eco-evolutionary causes and consequences. Funct. Ecol. 32, 1436–1446 (2018).
Google Scholar
7.Des Roches, S. et al. The ecological importance of intraspecific variation. Nat. Ecol. Evol. 2, 57–64 (2018).PubMed
Google Scholar
8.Violle, C. et al. Let the concept of trait be functional!. Oikos 116, 882–892 (2007).
Google Scholar
9.Sides, C. B. et al. Revisiting Darwin’s hypothesis: Does greater intraspecific variability increase species’ ecological breadth?. Am. J. Bot. 101, 56–62 (2014).PubMed
Google Scholar
10.Moran, E. V., Hartig, F. & Bell, D. M. Intraspecific trait variation across scales: Implications for understanding global change responses. Glob. Change Biol. 22, 137–150 (2016).ADS
Google Scholar
11.Violle, C. et al. The return of the variance: Intraspecific variability in community ecology. Trends Ecol. Evol. 27, 244–252 (2012).PubMed
Google Scholar
12.Stark, J., Lehman, R., Crawford, L., Enquist, B. J. & Blonder, B. Does environmental heterogeneity drive functional trait variation? A test in montane and alpine meadows. Oikos 126, 1650–1659 (2017).
Google Scholar
13.Stearns, S. C. The Evolution of Life Histories. xii, 249p. No. 575 S81 (Oxford, Oxford University, 1992).14.Vance, R. R. On reproductive strategies in marine benthic invertebrates. Am. Nat. 107, 339–352 (1973).
Google Scholar
15.Levitan, D. R. Gamete traits influence the variance in reproductive success, the intensity of sexual selection, and the outcome of sexual conflict among congeneric sea urchins. Evolution 62, 1305–1316 (2008).PubMed
Google Scholar
16.Lavorel, S. & Garnier, E. Predicting changes in community composition and ecosystem functioning from plant traits: revisiting the Holy Grail. Funct. Ecol. 16, 545–556 (2002).
Google Scholar
17.Pineda, M. C. et al. Tough adults, frail babies: An analysis of stress sensitivity across early life-history stages of widely introduced marine invertebrates. PLoS ONE 7, e46672 (2012).ADS
CAS
PubMed
PubMed Central
Google Scholar
18.Harley, C. D. G. et al. The impacts of climate change in coastal marine systems: Climate change in coastal marine systems. Ecol. Lett. 9, 228–241 (2006).ADS
PubMed
Google Scholar
19.Stein, A., Gerstner, K. & Kreft, H. Environmental heterogeneity as a universal driver of species richness across taxa, biomes and spatial scales. Ecol. Lett. 17, 866–880 (2014).PubMed
Google Scholar
20.Foo, S. A. & Byrne, M. Marine gametes in a changing ocean: Impacts of climate change stressors on fecundity and the egg. Mar. Environ. Res. 128, 12–24 (2017).CAS
PubMed
Google Scholar
21.Dahlhoff, E. P. Biochemical indicators of stress and metabolism: Applications for marine ecological studies. Annu. Rev. Physiol. 66, 183–207 (2004).CAS
PubMed
Google Scholar
22.Soudant, P. et al. Comparison of the lipid class and fatty acid composition between a reproductive cycle in nature and a standard hatchery conditioning of the Pacific Oyster Crassostrea gigas. Comp. Biochem. Physiol. B Biochem. Mol. Biol. 123, 209–222 (1999).
Google Scholar
23.Lester, S. E., Gaines, S. D. & Kinlan, B. P. Reproduction on the edge: Large-scale patterns of individual performance in a marine invertebrate. Ecology 88, 2229–2239 (2007).PubMed
Google Scholar
24.Helmuth, B., Mieszkowska, N., Moore, P. & Hawkins, S. J. Living on the edge of two changing worlds: Forecasting the responses of rocky intertidal ecosystems to climate change. Annu. Rev. Ecol. Evol. Syst. 37, 373–404 (2006).
Google Scholar
25.Sagarin, R. D., Barry, J. P., Gilman, S. E. & Baxter, C. H. Climate-related change in an intertidal community over short and long time scales. Ecol. Monogr. 69, 465–490 (1999).
Google Scholar
26.Dubois, S., Retière, C. & Olivier, F. Biodiversity associated with Sabellaria alveolata (Polychaeta: Sabellariidae) reefs: Effects of human disturbances. J. Mar. Biol. Assoc. UK 82, 817–826 (2002).
Google Scholar
27.Jones, A. G., Dubois, S. F., Desroy, N. & Fournier, J. Interplay between abiotic factors and species assemblages mediated by the ecosystem engineer Sabellaria alveolata (Annelida: Polychaeta). Estuar. Coast. Shelf Sci. 200, 1–18 (2018).ADS
Google Scholar
28.Bonifazi, A. et al. Macrofaunal biodiversity associated with different developmental phases of a threatened Mediterranean Sabellaria alveolata (Linnaeus, 1767) reef. Mar. Environ. Res. 145, 97–111 (2019).CAS
PubMed
Google Scholar
29.Holt, T. J., Biogenic Reefs. An Overview of Dynamic and Sensitivity Characteristics for Conservation Management of Marine SACs. UK Marine SACs Project (1998).30.Crisp, D. The effects of the severe winter of 1962–1963 on marine life in Britain. J. Anim. Ecol. 33, 165–210 (1964).
Google Scholar
31.Firth, L. B. et al. Historical comparisons reveal multiple drivers of decadal change of an ecosystem engineer at the range edge. Ecol. Evol. 5, 3210–3222 (2015).PubMed
PubMed Central
Google Scholar
32.Firth, L. B. et al. Specific niche requirements underpin multidecadal range edge stability, but may introduce barriers for climate change adaptation. Divers. Distrib. 27, 668–683 (2021).
Google Scholar
33.Wethey, D. S. et al. Response of intertidal populations to climate: Effects of extreme events versus long term change. J. Exp. Mar. Biol. Ecol. 400, 132–144 (2011).
Google Scholar
34.Sagarin, R. D. & Gaines, S. D. Geographical abundance distributions of coastal invertebrates: Using one-dimensional ranges to test biogeographic hypotheses. J. Biogeogr. 29, 985–997 (2002).
Google Scholar
35.Rahman, M. A., Henderson, S., Miller-Ezzy, P., Li, X. X. & Qin, J. G. Immune response to temperature stress in three bivalve species: Pacific oyster Crassostrea gigas, Mediterranean mussel Mytilus galloprovincialis and mud cockle Katelysia rhytiphora. Fish Shellfish Immunol. 86, 868–874 (2019).CAS
PubMed
Google Scholar
36.Osada, M., Nishikawa, M. & Nomura, T. Involvement of prostaglandins in the spawning of the scallop, Patinopecten yessoensis. Comp. Biochem. Physiol. C 94, 595–601 (1989).
Google Scholar
37.Stanley, D. W. & Howard, R. W. The biology of prostaglandins and related eicosanoids in invertebrates: Cellular, organismal and ecological actions. Am. Zool. 38, 369–381 (1998).CAS
Google Scholar
38.Pernet, F., Tremblay, R., Comeau, L. & Guderley, H. Temperature adaptation in two bivalve species from different thermal habitats: Energetics and remodelling of membrane lipids. J. Exp. Biol. 210, 2999–3014 (2007).PubMed
Google Scholar
39.Muir, A. P., Nunes, F. L. D., Dubois, S. F. & Pernet, F. Lipid remodelling in the reef-building honeycomb worm, Sabellaria alveolata, reflects acclimation and local adaptation to temperature. Sci. Rep. 6, 35669 (2016).ADS
CAS
PubMed
PubMed Central
Google Scholar
40.Hulbert, A. & Else, P. L. Membranes as possible pacemakers of metabolism. J. Theor. Biol. 199, 257–274 (1999).ADS
CAS
PubMed
Google Scholar
41.Brokordt, K. B., Himmelman, J. H., Nusetti, O. A. & Guderley, H. E. Reproductive investment reduces recuperation from exhaustive escape activity in the tropical scallop Euvola zizac. Mar. Biol. 137, 857–865 (2000).CAS
Google Scholar
42.Levitan, D. R. & Roitberg, B. D. Optimal egg size in marine invertebrates: Theory and phylogenetic analysis of the critical relationship between egg size and development time in echinoids. Am. Nat. 156, 175–192 (2000).PubMed
Google Scholar
43.Moran, A. L. & McAlister, J. S. Egg size as a life history character of marine invertebrates: Is it all it’s cracked up to be?. Biol. Bull. 216, 226–242 (2009).PubMed
Google Scholar
44.Marshall, D. J. & Burgess, S. C. Deconstructing environmental predictability: Seasonality, environmental colour and the biogeography of marine life histories. Ecol. Lett. 18, 174–181 (2015).PubMed
Google Scholar
45.Racault, M.-F., Le Quéré, C., Buitenhuis, E., Sathyendranath, S. & Platt, T. Phytoplankton phenology in the global ocean. Ecol. Indic. 14, 152–163 (2012).
Google Scholar
46.Henson, S., Cole, H., Beaulieu, C. & Yool, A. The impact of global warming on seasonality of ocean primary production. Biogeosciences 10, 4357–4369 (2013).ADS
Google Scholar
47.Morim, J. et al. Robustness and uncertainties in global multivariate wind-wave climate projections. Nat. Clim. Change 9, 711–718 (2019).ADS
Google Scholar
48.Stillman, J. H. Heat waves, the new normal: Summertime temperature extremes will impact animals, ecosystems, and human communities. Physiology 34, 86–100 (2019).CAS
PubMed
Google Scholar
49.McCarthy, D., Young, C. & Emson, R. Influence of wave-induced disturbance on seasonal spawning patterns in the sabellariid polychaete Phragmatopoma lapidosa. Mar. Ecol. Prog. Ser. 256, 123–133 (2003).ADS
Google Scholar
50.Aviz, D., Pinto, A. J. A., Ferreira, M. A. P., Rocha, R. M. & Rosa Filho, J. S. Reproductive biology of Sabellaria wilsoni (Sabellariidae: Polychaeta), an important ecosystem engineer on the Amazon coast. J. Mar. Biol. Assoc. UK https://doi.org/10.1017/S0025315416001776 (2016).Article
Google Scholar
51.Bowman, R. S. & Lewis, J. Annual fluctuations in the recruitment of Patella vulgata L. J. Mar. Biol. Assoc. U. K. 57, 793–815 (1977).
Google Scholar
52.Sagarin, R. D. & Somero, G. N. Complex patterns of expression of heat-shock protein 70 across the southern biogeographical ranges of the intertidal mussel Mytilus californianus and snail Nucella ostrina. J. Biogeogr. 33, 622–630 (2006).
Google Scholar
53.Wernberg, T. et al. An extreme climatic event alters marine ecosystem structure in a global biodiversity hotspot. Nat. Clim. Change 3, 78–82 (2013).ADS
Google Scholar
54.Firth, L. B., Knights, A. M. & Bell, S. S. Air temperature and winter mortality: Implications for the persistence of the invasive mussel, Perna viridis in the intertidal zone of the south-eastern United States. J. Exp. Mar. Biol. Ecol. 400, 250–256 (2011).
Google Scholar
55.Seabra, R., Wethey, D. S., Santos, A. M. & Lima, F. P. Side matters: Microhabitat influence on intertidal heat stress over a large geographical scale. J. Exp. Mar. Biol. Ecol. 400, 200–208 (2011).
Google Scholar
56.Meneghesso, C. et al. Remotely-sensed L4 SST underestimates the thermal fingerprint of coastal upwelling. Remote Sens. Environ. 237, 111588 (2020).ADS
Google Scholar
57.Marshall, D. J. & Keough, M. J. The evolutionary ecology of offspring size in marine invertebrates. in Advances in Marine Biology, 1–60. https://doi.org/10.1016/S0065-2881(07)53001-4 (Elsevier, 2007).58.Albert, C. H. et al. A multi-trait approach reveals the structure and the relative importance of intra- vs. interspecific variability in plant traits: Intra- vs. interspecific variability in plant traits. Funct. Ecol. 24, 1192–1201 (2010).
Google Scholar
59.Olofsson, H., Ripa, J. & Jonzén, N. Bet-hedging as an evolutionary game: The trade-off between egg size and number. Proc. R. Soc. B Biol. Sci. 276, 2963–2969 (2009).
Google Scholar
60.Osovitz, C. J. & Hofmann, G. E. Marine macrophysiology: Studying physiological variation across large spatial scales in marine systems. Comp. Biochem. Physiol. A. Mol. Integr. Physiol. 147, 821–827 (2007).PubMed
Google Scholar
61.Clarke, A. Reproduction in the cold: Thorson revisited. Invertebr. Reprod. Dev. 22, 175–183 (1992).
Google Scholar
62.Hawkins, S. J. et al. Distinguishing globally-driven changes from regional- and local-scale impacts: The case for long-term and broad-scale studies of recovery from pollution. Mar. Pollut. Bull. 124, 573–586 (2017).CAS
PubMed
Google Scholar
63.Dahlhoff, E. P., Stillman, J. H. & Menge, B. A. Physiological community ecology: Variation in metabolic activity of ecologically important rocky intertidal invertebrates along environmental gradients. Integr. Comp. Biol. 42, 862–871 (2002).PubMed
Google Scholar
64.Nunes, F. L. D., Rigal, F., Dubois, S. F. & Viard, F. Looking for diversity in all the right places? Genetic diversity is highest in peripheral populations of the reef-building polychaete Sabellaria alveolata. Mar. Biol. 168, 63 (2021).
Google Scholar
65.Bush, L. E. Stability and Variability of the Ecosystem Engineer Sabellaria alveolata on Differing Temporal and Spatial Scales (Bangor University, 2016).
Google Scholar
66.Lourenço, C. R., Nicastro, K. R., McQuaid, C. D., Krug, L. A. & Zardi, G. I. Strong upwelling conditions drive differences in species abundance and community composition along the Atlantic coasts of Morocco and Western Sahara. Mar. Biodivers. 50, 15 (2020).
Google Scholar
67.Ritchie, H. & Marshall, D. J. Fertilisation is not a new beginning: Sperm environment affects offspring developmental success. J. Exp. Biol. 216, 3104–3109 (2013).PubMed
Google Scholar
68.Dubois, S., Comtet, T., Retière, C. & Thiébaut, E. Distribution and retention of Sabellaria alveolata larvae (Polychaeta: Sabellariidae) in the Bay of Mont-Saint-Michel, France. Mar. Ecol. Prog. Ser. 346, 243–254 (2007).ADS
CAS
Google Scholar
69.Costello, D. P., Henley, C., & Marine Biological Laboratory (Woods Hole, Mass.). Methods for obtaining and handling marine eggs and embryos [by] Donald P. Costello and Catherine Henley. ([s.n.], 1971). https://doi.org/10.5962/bhl.title.1020.70.Gruet, Y. Aspects morphologiques et dynamiques de constructions de l’Annélide polychete Sabellaria alveolata (Linne). Rev. Trav. Inst. Pêch. Marit. 36, 131–161 (1972).
Google Scholar
71.Saulquin, B., Gohin, F. & Garrello, R. Regional objective analysis for merging high-resolution MERIS, MODIS/Aqua, and SeaWiFS Chlorophyll-a data from 1998 to 2008 on the European Atlantic Shelf. IEEE Trans. Geosci. Remote Sens. 49, 143–154 (2011).ADS
Google Scholar
72.Gohin, F. Annual cycles of chlorophyll-a, non-algal suspended particulate matter, and turbidity observed from space and in-situ in coastal waters. Ocean Sci. 7, 705–732 (2011).ADS
CAS
Google Scholar
73.Seabra, R., Wethey, D. S., Santos, A. M. & Lima, F. P. Understanding complex biogeographic responses to climate change. Sci. Rep. 5, 12930 (2015).ADS
CAS
PubMed
PubMed Central
Google Scholar
74.Schlegel, R. W., Darmaraki, S., Benthuysen, J. A., Filbee-Dexter, K. & Oliver, E. C. J. Marine cold-spells. Progress Oceanogr. 198, 102684 (2021).
Google Scholar
75.Hobday, A. J. et al. A hierarchical approach to defining marine heatwaves. Prog. Oceanogr. 141, 227–238 (2016).ADS
Google Scholar
76.Schlegel, R. W., Oliver, E. C., Hobday, A. J. & Smit, A. J. Detecting marine heatwaves with sub-optimal data. Front. Mar. Sci. 6, 737 (2019).
Google Scholar
77.Egbert, G. D., Erofeeva, S. Y. & Ray, R. D. Assimilation of altimetry data for nonlinear shallow-water tides: Quarter-diurnal tides of the Northwest European Shelf. Cont. Shelf Res. 30, 668–679 (2010).ADS
Google Scholar
78.Burrows, M., Harvey, R. & Robb, L. Wave exposure indices from digital coastlines and the prediction of rocky shore community structure. Mar. Ecol. Prog. Ser. 353, 1–12 (2008).ADS
Google Scholar
79.Wessel, P. & Smith, W. H. F. A global, self-consistent, hierarchical, high-resolution shoreline database. J. Geophys. Res. Solid Earth 101, 8741–8743 (1996).
Google Scholar
80.Seers, B. fetchR: Calculate Wind Fetch. R Package Version 2-1 (2017).81.Guillaume, A. S., Monro, K. & Marshall, D. J. Transgenerational plasticity and environmental stress: Do paternal effects act as a conduit or a buffer?. Funct. Ecol. 30, 1175–1184 (2016).
Google Scholar
82.Curd, A. et al. Connecting organic to mineral: How the physiological state of an ecosystem-engineer is linked to its habitat structure. Ecol. Indic. 98, 49–60 (2019).CAS
Google Scholar
83.Gruet, Y. & Lassus, P. Contribution a l’etude de la biologie reproductive d’une population naturelle de l’Annelide Polychete, Sabellaria alveolata (Linnaeus). Ann. Inst. Oceanogr. Monaco 59, 127–140 (1983).
Google Scholar
84.Hazel, J. The role of alterations in membrane lipid composition in enabling physiological adaptation of organisms to their physical environment. Prog. Lipid Res. 29, 167–227 (1990).CAS
PubMed
Google Scholar
85.Hochachka, P. W. & Somero, G. N. Biochemical Adaptation: Mechanism and Process in Physiological Evolution (Oxford University Press, 2002).
Google Scholar
86.Abele, D. & Puntarulo, S. Formation of reactive species and induction of antioxidant defence systems in polar and temperate marine invertebrates and fish. Comp. Biochem. Physiol. A Mol. Integr. Physiol. 138, 405–415 (2004).PubMed
Google Scholar
87.Folch, J., Lees, M. & Stanley, G. H. S. A simple method for the isolation and purification of total lipides from animal tissues. J. Biol. Chem. 226, 497–509. http://www.jbc.org/content/226/1/497 (1957).CAS
PubMed
Google Scholar
88.Sieracki, C., Sieracki, M. & Yentsch, C. An imaging-in-flow system for automated analysis of marine microplankton. Mar. Ecol. Prog. Ser. 168, 285–296 (1998).ADS
Google Scholar
89.Pasteels, J. J. Etude au microscope électronique de la réaction corticale. II. La réaction corticale de l’oeuf vierge de Sabellaria alveolata. J. Embryol. Exp. Morphol. 13, 327–339 (1965).CAS
PubMed
Google Scholar
90.Doledec, S. & Chessel, D. Co-inertia analysis: An alternative method for studying species-environment relationships. Freshw. Biol. 31, 277–294 (1994).
Google Scholar
91.Robert, P. & Escoufier, Y. A unifying tool for linear multivariate statistical methods: The RV-coefficient. J. R. Stat. Soc. Ser. C Appl. Stat. 25, 257–265 (1976).MathSciNet
Google Scholar
92.Legendre, P. & Legendre, L. Ecological resemblance. in Developments in Environmental Modelling Chapter 7, Vol. 24, 265–335 (Elsevier, 2012).93.Borcard, D., Legendre, P. & Drapeau, P. Partialling out the spatial component of ecological variation. Ecology 73, 1045–1055 (1992).
Google Scholar
94.Peres-Neto, P. R., Legendre, P., Dray, S. & Borcard, D. Variation partitioning of species data matrices: Estimation and comparison of fractions. Ecology 87, 2614–2625 (2006).PubMed
Google Scholar
95.Dormann, C. F. et al. Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography 36, 27–46 (2013).
Google Scholar
96.Messier, J., McGill, B. J. & Lechowicz, M. J. How do traits vary across ecological scales? A case for trait-based ecology: How do traits vary across ecological scales?. Ecol. Lett. 13, 838–848 (2010).PubMed
Google Scholar
97.Rao, C. R. The use and interpretation of principal component analysis in applied research. Sankhyā Indian J. Stat. Ser. A (1961-2002) 26, 329–358 (1964).98.R Core Team: A language and environment for statistical computing. Available from: https://www.R-project.org/ (2018).99.Oksanen, J. et al. Package ‘vegan’. Commun. Ecol. Package Version 2, 1–295 (2013).
Google Scholar More