publication . Other literature type . Conference object . 2017

Modéliser la réponse des espèces au changement climatique dans les iles subantarctiques : étude de cas chez les oursins du Plateau des Kerguelen

Saucède, Thomas; Guillaumot, Charlène; Michel, Loïc N.; Fabri-Ruiz, Salomé; Bazin, A.; Cabessut, M.; García-Berro, A.; Mateos, A.; Mathieu, O.; De Ridder, Chantal; ...
Open Access English
  • Published: 13 Nov 2017
  • Publisher: Zenodo
Abstract
International audience; In the Kerguelen Islands, the multiple effects of climate change are expected to impact coastal marine habitats. Species distribution models (SDM) can represent a convenient tool to predict the biogeographic response of species to climate change but biotic interactions are not considered in these models. Nevertheless, new species interactions can emerge in communities exposed to environmental changes and the structure of biotic interactions is directly related to the potential resilience of ecosystems. Trophic interaction studies can help predict species vulnerability to environmental changes using carbon (δ 13 C) and nitrogen (δ 15 N) st...
Subjects
free text keywords: climate change, southern ocean, stable isotopes, ecological modelling, : Zoology [Life sciences], : Zoologie [Sciences du vivant], : Aquatic sciences & oceanology [Life sciences], : Sciences aquatiques & océanologie [Sciences du vivant], : Environmental sciences & ecology [Life sciences], : Sciences de l'environnement & écologie [Sciences du vivant], species distribution model, trophic niche, isotopic niche, biotic interaction, distribution dynamics, species distribution model, trophic niche, isotopic niche, biotic interaction, distribution dynamics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.EE.BIO]Life Sciences [q-bio]/Ecology, environment/Bioclimatology
125 references, page 1 of 9

Agüera, A., M. Collard, Q. Jossart, C. Moreau and B. Danis. 2015. Parameter estimations of dynamic energy budget (DEB) model over the life history of a key Antarctic species: the antarctic sea star Odontaster validus (Koehler, 1906). PLoS ONE, 10 (10): e0140078, doi: 10.1371/journal.pone.0140078. [OpenAIRE]

Agüera, A., A. In-Young, C. Guillaumot and B. Danis. 2017. A dynamic energy budget (DEB) model to describe Laternula elliptica (King, 1832) seasonal feeding and metabolism. PLoS ONE, 12 (8): e0183848, doi: 10.1371/ journal.pone.0183848.

Albouy, C., L. Velez, M. Coll, F. Colloca, F.L. Loc'h, D. Mouillot and D. Gravel. 2014. From projected species distribution to food‐web structure under climate change. Glob. Change Biol., 20 (3): 730-741, doi: 10.1111/gcb.12467.

Allan, E.L., P.W. Froneman, J.V. Durgadoo, C.D. McQuaid, I.J. Ansorge and N.B. Richoux. 2013. Critical indirect efects of climate change on sub-Antarctic ecosystem functioning. Ecol. Evol., 3 (9): 2994-3004, doi:10.1002/ece3.678. [OpenAIRE]

Améziane, N., M. Eléaume, L.G. Hemery, F. Monniot, A. Hemery, M. Hautecoeur and A. Dettaï. 2011. Biodiversity of the benthos of Ansorge, I.J., J.V. Durgadoo and A.M. Treasure. 2014. Sentinels to climate change. The need for monitoring at South Africa's Subantarctic laboratory. S. Afr. J. Sci., 110 (1/2): 1-4, doi: org/10.1590/sajs.2014/a0044.

Arnaud, P.M. 1974. Contribution à la bionomie benthique antarctique et subantarctique. Téthys, 6: 469-653.

Austin, M.P. and K.P. Van Niel. 2011. Improving species distribution models for climate change studies: variable selection and scale. J. Biogeogr., 38 (1): 1-8, doi: 10.1111/j.1365- 2699.2010.02416.x.

Basher, Z. and M.J. Costello. 2016. The past, present and future distribution of a deep-sea shrimp in the Southern Ocean. PeerJ, 4: e1713, doi: 10.7717/peerj.1713. [OpenAIRE]

Boecklen, W.J., C.T. Yarnes, B.A. Cook and A.C. James. 2011. On the use of stable isotopes in trophic ecology. Annu. Rev. Ecol. Evol. S., 42: 411-440. [OpenAIRE]

Bradie, J. and B. Leung. 2017. A quantitative synthesis of the importance of variables used in MaxEnt species distribution models. J. Biogeogr., 44 (6): 1344-1361, doi: 10.1111/jbi.12894.

Braunisch, V., J. Coppes., R. Arlettaz, R. Suchant, H. Schmid and K. Bollman. 2013. Selecting from correlated climate variables: a major source of uncertainty for predicting species distributions under climate change. Ecography, 36 (9): 971-983, doi: 10.1111/j.1600- 0587.2013.00138.x. [OpenAIRE]

Briscoe, N.J., M.R. Kearney, C.A. Taylor and B.A. Wintle. 2016. Unpacking the mechanisms captured by a correlative species distribution model Buckley, L.B., M.C. Urban, M.J. Angilletta, L.G. Crozier, L.J. Rissler and M.W. Sears. 2010. Can mechanism inform species' distribution models? Ecol. Lett., 13 (8): 1041-1054, doi: 10.1111/j.1461-0248.2010.01479.x.

Byrne, M., M. Gall, K. Wolfe and A. Agüera. 2016. From pole to pole: the potential for the Arctic seastar Asterias amurensis to invade a warming Southern Ocean. Glob. Change Biol., 22 (12): 3874-3887, doi: 10.1111/gcb.13304.

CCAMLR. 2008. Report of the Twenty-seventh Meeting of the Commission (CCAMLR-XXVII). CCAMLR, Hobart, Australia: 203 pp.

CCAMLR. 2013. Report on bottom fisheries and vulnerable marine ecosystems. CCAMLR, Hobart, Australia: 52 pp.

125 references, page 1 of 9
Abstract
International audience; In the Kerguelen Islands, the multiple effects of climate change are expected to impact coastal marine habitats. Species distribution models (SDM) can represent a convenient tool to predict the biogeographic response of species to climate change but biotic interactions are not considered in these models. Nevertheless, new species interactions can emerge in communities exposed to environmental changes and the structure of biotic interactions is directly related to the potential resilience of ecosystems. Trophic interaction studies can help predict species vulnerability to environmental changes using carbon (δ 13 C) and nitrogen (δ 15 N) st...
Subjects
free text keywords: climate change, southern ocean, stable isotopes, ecological modelling, : Zoology [Life sciences], : Zoologie [Sciences du vivant], : Aquatic sciences & oceanology [Life sciences], : Sciences aquatiques & océanologie [Sciences du vivant], : Environmental sciences & ecology [Life sciences], : Sciences de l'environnement & écologie [Sciences du vivant], species distribution model, trophic niche, isotopic niche, biotic interaction, distribution dynamics, species distribution model, trophic niche, isotopic niche, biotic interaction, distribution dynamics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.EE.BIO]Life Sciences [q-bio]/Ecology, environment/Bioclimatology
125 references, page 1 of 9

Agüera, A., M. Collard, Q. Jossart, C. Moreau and B. Danis. 2015. Parameter estimations of dynamic energy budget (DEB) model over the life history of a key Antarctic species: the antarctic sea star Odontaster validus (Koehler, 1906). PLoS ONE, 10 (10): e0140078, doi: 10.1371/journal.pone.0140078. [OpenAIRE]

Agüera, A., A. In-Young, C. Guillaumot and B. Danis. 2017. A dynamic energy budget (DEB) model to describe Laternula elliptica (King, 1832) seasonal feeding and metabolism. PLoS ONE, 12 (8): e0183848, doi: 10.1371/ journal.pone.0183848.

Albouy, C., L. Velez, M. Coll, F. Colloca, F.L. Loc'h, D. Mouillot and D. Gravel. 2014. From projected species distribution to food‐web structure under climate change. Glob. Change Biol., 20 (3): 730-741, doi: 10.1111/gcb.12467.

Allan, E.L., P.W. Froneman, J.V. Durgadoo, C.D. McQuaid, I.J. Ansorge and N.B. Richoux. 2013. Critical indirect efects of climate change on sub-Antarctic ecosystem functioning. Ecol. Evol., 3 (9): 2994-3004, doi:10.1002/ece3.678. [OpenAIRE]

Améziane, N., M. Eléaume, L.G. Hemery, F. Monniot, A. Hemery, M. Hautecoeur and A. Dettaï. 2011. Biodiversity of the benthos of Ansorge, I.J., J.V. Durgadoo and A.M. Treasure. 2014. Sentinels to climate change. The need for monitoring at South Africa's Subantarctic laboratory. S. Afr. J. Sci., 110 (1/2): 1-4, doi: org/10.1590/sajs.2014/a0044.

Arnaud, P.M. 1974. Contribution à la bionomie benthique antarctique et subantarctique. Téthys, 6: 469-653.

Austin, M.P. and K.P. Van Niel. 2011. Improving species distribution models for climate change studies: variable selection and scale. J. Biogeogr., 38 (1): 1-8, doi: 10.1111/j.1365- 2699.2010.02416.x.

Basher, Z. and M.J. Costello. 2016. The past, present and future distribution of a deep-sea shrimp in the Southern Ocean. PeerJ, 4: e1713, doi: 10.7717/peerj.1713. [OpenAIRE]

Boecklen, W.J., C.T. Yarnes, B.A. Cook and A.C. James. 2011. On the use of stable isotopes in trophic ecology. Annu. Rev. Ecol. Evol. S., 42: 411-440. [OpenAIRE]

Bradie, J. and B. Leung. 2017. A quantitative synthesis of the importance of variables used in MaxEnt species distribution models. J. Biogeogr., 44 (6): 1344-1361, doi: 10.1111/jbi.12894.

Braunisch, V., J. Coppes., R. Arlettaz, R. Suchant, H. Schmid and K. Bollman. 2013. Selecting from correlated climate variables: a major source of uncertainty for predicting species distributions under climate change. Ecography, 36 (9): 971-983, doi: 10.1111/j.1600- 0587.2013.00138.x. [OpenAIRE]

Briscoe, N.J., M.R. Kearney, C.A. Taylor and B.A. Wintle. 2016. Unpacking the mechanisms captured by a correlative species distribution model Buckley, L.B., M.C. Urban, M.J. Angilletta, L.G. Crozier, L.J. Rissler and M.W. Sears. 2010. Can mechanism inform species' distribution models? Ecol. Lett., 13 (8): 1041-1054, doi: 10.1111/j.1461-0248.2010.01479.x.

Byrne, M., M. Gall, K. Wolfe and A. Agüera. 2016. From pole to pole: the potential for the Arctic seastar Asterias amurensis to invade a warming Southern Ocean. Glob. Change Biol., 22 (12): 3874-3887, doi: 10.1111/gcb.13304.

CCAMLR. 2008. Report of the Twenty-seventh Meeting of the Commission (CCAMLR-XXVII). CCAMLR, Hobart, Australia: 203 pp.

CCAMLR. 2013. Report on bottom fisheries and vulnerable marine ecosystems. CCAMLR, Hobart, Australia: 52 pp.

125 references, page 1 of 9
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publication . Other literature type . Conference object . 2017

Modéliser la réponse des espèces au changement climatique dans les iles subantarctiques : étude de cas chez les oursins du Plateau des Kerguelen

Saucède, Thomas; Guillaumot, Charlène; Michel, Loïc N.; Fabri-Ruiz, Salomé; Bazin, A.; Cabessut, M.; García-Berro, A.; Mateos, A.; Mathieu, O.; De Ridder, Chantal; ...