Records |
Author |
M. Belke-Brea, F. Domine, S. Boudreau, G. Picard, M. Barrere, L. Arnaud, M. Paradis |
Title |
New Allometric Equations for Arctic Shrubs and Their Application for Calculating the Albedo of Surfaces with Snow and Protruding Branches |
Type |
Journal |
Year |
2020 |
Publication |
Journal of Hydrometeorology |
Abbreviated Journal |
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Volume |
21 |
Issue |
11 |
Pages |
2581-2594 |
Keywords |
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Abstract |
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Programme |
1042 |
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Edition |
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ISSN |
1525-7541, 1525-755X |
ISBN |
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Expedition |
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Conference |
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Notes |
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Approved |
yes |
Call Number |
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Serial |
7970 |
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Author |
M. Belke-Brea, F. Domine, M. Barrere, G. Picard, L. Arnaud |
Title |
Impact of Shrubs on Winter Surface Albedo and Snow Specific Surface Area at a Low Arctic Site: In Situ Measurements and Simulations |
Type |
Journal |
Year |
2020 |
Publication |
Journal of Climate |
Abbreviated Journal |
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Volume |
33 |
Issue |
2 |
Pages |
597-609 |
Keywords |
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Abstract |
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Programme |
1042 |
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Edition |
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ISSN |
0894-8755, 1520-0442 |
ISBN |
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Expedition |
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Conference |
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Notes |
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Approved |
yes |
Call Number |
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Serial |
7972 |
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Author |
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Title |
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Type |
Master 2 |
Year |
2020 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
48 pp |
Keywords |
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Abstract |
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Programme |
1044 |
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Approved |
yes |
Call Number |
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Serial |
8060 |
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Author |
Meudec L. |
Title |
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Type |
Master 1 |
Year |
2020 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
13 pp |
Keywords |
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Abstract |
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Programme |
1044 |
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Notes |
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Approved |
yes |
Call Number |
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Serial |
8061 |
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Author |
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Title |
Contrasting biogeographical patterns in Margarella (Gastropoda: Calliostomatidae: Margarellinae) across the Antarctic Polar Front |
Type |
Journal |
Year |
2020 |
Publication |
Molecular Phylogenetics and Evolution |
Abbreviated Journal |
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Volume |
156 |
Issue |
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Pages |
107039 |
Keywords |
Antarctic Polar Front Benthic-protected development Long-distance dispersal Rafting Southern Ocean |
Abstract |
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Programme |
1044 |
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Series Issue |
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Edition |
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ISSN |
1055-7903 |
ISBN |
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Expedition |
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Conference |
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Notes |
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Approved |
yes |
Call Number |
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Serial |
8001 |
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Author |
Launay M |
Title |
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Type |
Master 2 |
Year |
2020 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
36 pp |
Keywords |
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Abstract |
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Programme |
1044 |
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Edition |
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Notes |
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Approved |
yes |
Call Number |
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Serial |
8066 |
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Author |
Calas A |
Title |
Image analysis of settlement plates for monitoring marine benthic communities of the Kerguelen Islands |
Type |
Master 2 |
Year |
2020 |
Publication |
Master 2 IMBRSea (International Master of Science in Marine Biological Resources), Université de Gand / Université de Bourgogne |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
35 pp |
Keywords |
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Abstract |
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Programme |
1044 |
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Notes |
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Approved |
yes |
Call Number |
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Serial |
8068 |
Permanent link to this record |
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Author |
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Title |
Diversity of Antarctic Echinoids and Ecoregions of the Southern Ocean |
Type |
Journal |
Year |
2020 |
Publication |
Biology bulletin |
Abbreviated Journal |
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Volume |
47 |
Issue |
6 |
Pages |
683-698 |
Keywords |
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Abstract |
Significant environmental changes have already been documented in the Southern Ocean (e.g. sea water temperature increase and salinity drop) but its marine life is still incompletely known given the heterogeneous nature of biogeographic data. However, to establish sustainable conservation areas, understanding species and communities distribution patterns is critical. For this purpose, the ecoregionalization approach can prove useful by identifying spatially explicit and well-delimited regions of common species composition and environmental settings. Such regions are expected to have similar biotic responses to environmental changes and can be used to define priorities for the designation of Marine Protected Areas. In the present work, a benthic ecoregionalization of the Southern Ocean is proposed based on echinoids distribution data and abiotic environmental parameters. Echinoids are widely distributed in the Southern Ocean, they are taxonomically and ecologically well diversified and documented. Given the heterogeneity of the sampling effort, predictive spatial models were produced to fill the gaps in between species distribution data. A first procedure was developed using Gaussian Mixture Models (GMM) to combine individual species models into ecoregions. A second, integrative procedure was implemented using the Generalized Dissimilarity Models (GDM) to model and assemble species distributions. Both procedures were compared to propose benthic ecoregions at the scale of the entire Southern Ocean. |
Programme |
1044 |
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Address |
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Series Editor |
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Series Issue |
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Edition |
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ISSN |
1608-3059 |
ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
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Notes |
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Approved |
yes |
Call Number |
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Serial |
6698 |
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Author |
Le Bourg Baptiste |
Title |
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Type |
Thesis |
Year |
2020 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
287 pp. |
Keywords |
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Abstract |
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Programme |
1044 |
Campaign |
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Address |
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Corporate Author |
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Thesis |
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Place of Publication |
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Conference |
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Notes |
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Approved |
yes |
Call Number |
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Serial |
8067 |
Permanent link to this record |
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Author |
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Title |
Selecting environmental descriptors is critical for modelling the distribution of Antarctic benthic species |
Type |
Journal |
Year |
2020 |
Publication |
Polar Biology |
Abbreviated Journal |
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Volume |
43 |
Issue |
9 |
Pages |
1363-1381 |
Keywords |
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Abstract |
Species distribution models (SDMs) are increasingly used in ecological and biogeographic studies by Antarctic biologists, including for conservation and management purposes. During the modelling process, model calibration is a critical step to ensure model reliability and robustness, especially in the case of SDMs, for which the number of selected environmental descriptors and their collinearity is a recurring issue. Boosted regression trees (BRT) was previously considered as one of the best modelling approach to correct for this type of bias. In the present study, we test the performance of BRT in modelling the distribution of Southern Ocean species using different numbers of environmental descriptors, either collinear or not. Models are generated for six sea star species with contrasting ecological niches and wide distribution ranges over the entire Southern Ocean. For the six studied species, overall modelling performance is not affected by the number of environmental descriptors used to generate models, BRT using the most informative descriptors and minimizing model overfitting. However, removing collinear descriptors also helps reduce model overfitting. Our results confirm that BRTs may perform well and are relevant to deal with complex and redundant environmental information for Antarctic biodiversity distribution studies. Selecting a limited number of non-collinear descriptors before modelling may generate simpler models and facilitate their interpretation. The modelled distributions do not differ noticeably between the different species despite contrasting species ecological niches. This unexpected result stresses important limitations in using SDMs for broad scale spatial studies, based on limited, spatially aggregated data, and low-resolution descriptors. |
Programme |
1044,1124 |
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Address |
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Corporate Author |
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Thesis |
Bachelor's thesis |
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Editor |
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Series Editor |
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Series Issue |
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Edition |
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ISSN |
1432-2056 |
ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
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Notes |
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Approved |
yes |
Call Number |
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Serial |
8184 |
Permanent link to this record |