Enrique Isla

Dr. Enrique Isla


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2018 in Marine Genomics
Verified
Journal Article
Open access
JGJ. Gutt
J. Gutt
EIEnrique Isla
Enrique Isla
ABA.N. Bertler
A.N. Bertler
GBG.E. Bodeker
G.E. Bodeker
TBThomas J. Bracegirdle
Thomas J. Bracegirdle
JXJ.C. Xavier
J.C. Xavier
The biodiversity, ecosystem services and climate variability of the Antarctic continent and the Southern Ocean are major components of the whole Earth system. Antarctic ecosystems are driven more strongly by the physical environment than many other marine and terrestrial ecosystems. As a consequence, to understand ecological functioning, cross-disciplinary studies are especially important in Antarctic research. The conceptual study presented here is based on a workshop initiated by the Research Programme Antarctic Thresholds - Ecosystem Resilience and Adaptation of the Scientific Committee on Antarctic Research, which focussed on challenges in identifying and applying cross-disciplinary approaches in the Antarctic. Novel ideas and first steps in their implementation were clustered into eight themes. These ranged from scale problems, through risk maps, and organism/ecosystem responses to multiple environmental changes and evolutionary processes. Scaling models and data across different spatial and temporal scales were identified as an overarching challenge. Approaches to bridge gaps in Antarctic research programmes included multi-disciplinary monitoring, linking biomolecular findings and simulated physical environments, as well as integrative ecological modelling. The results of advanced cross-disciplinary approaches can contribute significantly to our knowledge of Antarctic and global ecosystem functioning, the consequences of climate change, and to global assessments that ultimately benefit humankind.

27 May 2022 in Science
Verified
Journal Article
Open access
SRSergio Rossi
Sergio Rossi
LBLorenzo Bramanti
Lorenzo Bramanti
PHPaulo Horta
Paulo Horta
LALouise Allcock
Louise Allcock
MCMarina Carreiro-Silva
Marina Carreiro-Silva
JZJuanita Zorrilla-Pujana
Juanita Zorrilla-Pujana

2 March 2011 in Polar Biology
Verified
Journal Article
Closed access
PDF file
EIEnrique Isla
Enrique Isla
DGDieter Gerdes
Dieter Gerdes
SRSergio Rossi
Sergio Rossi
IFIda Fiorillo
Ida Fiorillo
ESElisabet Sañé
Elisabet Sañé
WAWolf E. Arntz
Wolf E. Arntz



23 June 2021 in Global Biogeochemical Cycles
Verified
Journal Article
Open access
PDF file
DDD. J. DeMaster
D. J. DeMaster
RTR. S. Taylor
R. S. Taylor
CSCraig Smith
Craig Smith
EIEnrique Isla
Enrique Isla
CTC. J. Thomas
C. J. Thomas
Positive 14C gradients have recently been observed within the surface mixed layer of several continental‐margin sediments. The best explanation for these positive 14C gradients is the occurrence and rapid degradation of labile organic carbon (LOC) in the upper 5–10 cm of the seabed. Based on a two‐component model for sedimentary organic matter (i.e., a planktonic labile component and an older refractory component), bulk 14Corg data were used to determine the abundances of LOC within the surface mixed layers of three cores from the West Antarctic Peninsula (WAP) shelf and one core from San Clemente Basin (California Borderland). LOC contents in surface samples from the four stations varied from 0.5 to 1.1 mg/cm3, comprising 20% (San Clemente Basin) to 80% (WAP, Sta. G) of the total organic carbon. By incorporating a steady state diagenetic model and particle‐mixing bioturbation coefficients, the LOC profiles were used to determine LOC turnover times (LOC τ) and LOC e‐folding depths. The LOC τ values for the West Antarctic Peninsula sediments varied from 0.09 to 0.59 years, whereas the LOC τ value from the San Clemente Basin core was 63 years. The LOC e‐folding depths for the WAP stations varied from 0.8 to 3.4 cm, in contrast to the LOC e‐folding depth in San Clemente Basin, which was 4.0 cm. LOC characteristics from the four cores examined in this study were compared to LOC data in the literature as a means of substantiating the overall 14Corg‐based approach and justifying model assumptions.