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Environmental optima for an ecosystem engineer: a multidisciplinary trait-based approach.
Curd, Amelia; Boyé, Aurélien; Cordier, Céline; Pernet, Fabrice; Firth, Louise B; Bush, Laura E; Davies, Andrew J; Lima, Fernando P; Meneghesso, Claudia; Quéré, Claudie; Seabra, Rui; Vasquez, Mickaël; Dubois, Stanislas F.
Affiliation
  • Curd A; IFREMER, Centre de Bretagne, DYNECO LEBCO, 29280, Plouzané, France. amelia.curd@ifremer.fr.
  • Boyé A; IFREMER, Centre de Bretagne, DYNECO LEBCO, 29280, Plouzané, France.
  • Cordier C; IFREMER, Centre de Bretagne, DYNECO LEBCO, 29280, Plouzané, France.
  • Pernet F; LEMAR CNRS/UBO/IRD/Ifremer, ZI pointe du diable, CS 10070, 29280, Plouzané, France.
  • Firth LB; School of Biological and Marine Sciences, University of Plymouth, Drake Circus, Plymouth, PL4 8AA, UK.
  • Bush LE; FUGRO GB Marine Limited, Heriot-Watt University, 1-9 The Curve, 32 Research Avenue North, Edinburgh, EH14 4AP, UK.
  • Davies AJ; Department of Biological Sciences, University of Rhode Island, Kingston, RI, 02881, USA.
  • Lima FP; CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, 4485-661, Vairão, Portugal.
  • Meneghesso C; CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, 4485-661, Vairão, Portugal.
  • Quéré C; Departamento de Biologia, Faculdade de Ciências da Universidade do Porto, R. Campo Alegre, s/n, 4169-007, Porto, Portugal.
  • Seabra R; LEMAR CNRS/UBO/IRD/Ifremer, ZI pointe du diable, CS 10070, 29280, Plouzané, France.
  • Vasquez M; CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, 4485-661, Vairão, Portugal.
  • Dubois SF; IFREMER, Centre de Bretagne, DYNECO LEBCO, 29280, Plouzané, France.
Sci Rep ; 11(1): 22986, 2021 11 26.
Article de En | MEDLINE | ID: mdl-34837006
ABSTRACT
A complex interplay of biotic and abiotic factors underpins the distribution of species and operates across different levels of biological organization and life history stages. Understanding ecosystem engineer reproductive traits is critical for comprehending and managing the biodiversity-rich habitats they create. Little is known about how the reproduction of the reef-forming worm, Sabellaria alveolata, varies across environmental gradients. By integrating broad-scale environmental data with in-situ physiological data in the form of biochemical traits, we identified and ranked the drivers of intraspecific reproductive trait variability (ITV). ITV was highest in locations with variable environmental conditions, subjected to fluctuating temperature and hydrodynamic conditions. Our trait selection pointed to poleward sites being the most physiologically stressful, with low numbers of irregularly shaped eggs suggesting potentially reduced reproductive success. Centre-range individuals allocated the most energy to reproduction, with the highest number of intermediate-sized eggs, whilst equatorward sites were the least physiologically stressful, thus confirming the warm-adapted nature of our model organism. Variation in total egg diameter and relative fecundity were influenced by a combination of environmental conditions, which changed depending on the trait and sampling period. An integrated approach involving biochemical and reproductive traits is essential for understanding macro-scale patterns in the face of anthropogenic-induced climate change across environmental and latitudinal gradients.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Ovule / Polychaeta / Reproduction / Changement climatique / Adaptation physiologique / Écosystème / Biodiversité Type d'étude: Prognostic_studies Limites: Animals Langue: En Journal: Sci Rep Année: 2021 Type de document: Article Pays d'affiliation: France

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Ovule / Polychaeta / Reproduction / Changement climatique / Adaptation physiologique / Écosystème / Biodiversité Type d'étude: Prognostic_studies Limites: Animals Langue: En Journal: Sci Rep Année: 2021 Type de document: Article Pays d'affiliation: France