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iMarine Data eInfrastructure Ini$a$ve for Fisheries Management and Conserva$on of Marine Living Resources Data access, harmonization, analysis, and management platform Pasquale Pagano (CNR) iMarine Technical Director pasquale.pagano@is$.cnr.it 22 July 2014 Open Channel Webinar Gianpaolo Coro (CNR) iMarine Data Analyst gianpaolo.coro@is$.cnr.it

iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

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On the 22 July 2014, OpenChannels.org and the EBM Tools Network, two of the premier sources of information about coastal and marine planning and management tools in the United States and internationally, hosted the iMarine webinar: iMarine Data e-Infrastructure Initiative for Fisheries Management and Conservation of Marine Living Resources. The webinar focused on the presentation of the iMarine initiative and its powerful data e-infrastructures and services, followed by a presentation of a set of use cases related to Geospatial Analysis, Ecology, Biodiversity and Life History Traits. The presentations were given by Pasquale Pagano, CNR-ISTI and iMarine Technical Director and Gianpaolo Coro, CNR-ISTI. Watch the video of the webinar here https://www.youtube.com/watch?v=lgf30BPyBbk

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Page 1: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

iMarine  Data  e-­‐Infrastructure  Ini$a$ve  for  Fisheries  Management  and  Conserva$on  of  Marine  Living  Resources  

 Data access, harmonization, analysis, and

management platform

Pasquale  Pagano  (CNR)  iMarine  Technical  Director  pasquale.pagano@is$.cnr.it  

 22  July  2014  

Open  Channel  Webinar    

Gianpaolo  Coro  (CNR)  iMarine  Data  Analyst  

gianpaolo.coro@is$.cnr.it  

Page 2: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Pasquale  Pagano  •  Master  Degree  in  Computer  Science  •  Ph.D  in  Informa$on  Engineering  on  Distributed  Systems    •  it.linkedin.com/in/pasqualepagano/  

Gianpaolo  Coro  •  Master  Degree  in  Physics  -­‐  Cyberne$cs  •  Ph.D  in  Computer  Science  •  it.linkedin.com/pub/gianpaolo-­‐coro/16/665/b5a  

2  iMarine  -­‐  Just  an  overview  

Page 3: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Concepts  

iMarine  -­‐  Just  an  overview  

The  ini=a=ve    (the  visionary  leadership)  

The  e-­‐infrastructure  (the  opera$onal  plaUorm)  

The  system    (the  enabling  sw  system)  

3  

Page 4: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

THE  INITIATIVE  Distinguishing capabilities of the iMarine initiative  

iMarine  -­‐  Just  an  overview   4  

Page 5: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

iMarine  Objec$ve  

5  iMarine  -­‐  Just  an  overview  

Launch  an  Ini$a$ve  aimed  at  establishing  and  opera$ng  a  data  Infrastructure  suppor$ng  the  

principles  of  the    Ecosystem  Approach    

to  Fisheries  Management  and  Conserva=on  of  Marine  Living  Resources  

Nov  2011  

Sept  2014  

Apr  2016  

Page 6: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Address  system  harmoniza$on  

6  iMarine  -­‐  Just  an  overview  

VLIZ  

IOC  

FIN  

CRIA  

IRD   FAO  

T2  

MyO

cean  SeaDatanet   Other  sources  

FIGIS  

Fisheries  

Ocean  environm

ent  

Biodiversity  

ESTAT  

DG-­‐MARE  Na$onal  DOF  

Ecoscope  

ICES  RDB  

Taxono

my  

Emod

net  B

iology  

WORM

S  OBIS  

Aquamaps  

Niche  modelling  algorithms  Open  Source  so^ware  

Open  SDMX  -­‐  CLM  

SDMX  

GBIF  

EoL  

NEAFC  

FishBa

se  

Courtesy  by  Marc  Taconet  (FAO)  

Page 7: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

 Role  of  the  iMarine  Board  

•  Mobilize  user  community  –  Core  set  of  influen$al  partners  mobilized  to  work  on  two  main  business  cases:  

Support  to  implementa=on  of  the  EU  Common  Fishery  Policy  Support  to  FAO’s  deep  seas  fisheries  programme  

•  Develop  governance  model  –  Public  partnerships  –  Policies  –  data  sharing  –  so^ware  sharing  

•  Address  systems’  harmoniza$on  –  Ra$onalize  solu$ons  among  partners  (cost  efficiency)  

–  Agree  on  “iMarine”  standards    

iMarine  -­‐  Just  an  overview  

•   FAO  •   DG  MARE  •   Eurostat  •   NEAFC    •   MEDDE/DOF    •   IRD  •   ICES  

•   IOC/OBIS  •   FIN  •   CRIA    •   VLIZ    •   T2/GENESI-­‐DEC  

Environm

ent                        Biodiversity

                                 Fish

eries            

7  

Page 8: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

THE  INFRASTRUCTURE  

Distinguishing capabilities of the iMarine e-infrastructure and its enabling software  

iMarine  -­‐  Just  an  overview   8  

Page 9: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Concepts  and  Defini$ons  

iMarine  -­‐  Just  an  overview   9  

Page 10: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

The  D4Science  infrastructure  

iMarine  is  exploi$ng  a  Hybrid  Data  Infrastructure  combining  over  500  so^ware  components  into  a  

coherent  and  centrally  managed  system  of  hardware,  so^ware,  and  data  resources.  

iMarine  -­‐  Just  an  overview   10  

Page 11: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Born  from  the  user  needs  

11  iMarine  -­‐  Just  an  overview  

I  need  to  host  my  applica$ons  in  a  secure  and  scalable  environment  

I  need  to  maintain  my  database  

I  need  to  backup  my  data  

I  need  to  securely  delivery  my    data  to  a  set  of  known  people    

I  want    to  offer  a  flexible  sharing,  storage,  repor$ng,  search  and  retrieval  tool  

Page 12: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Born  from  the  user  needs  

12  iMarine  -­‐  Just  an  overview  

I  need  to  manage  and  analyze  biological  and  ecological  data  

I  need  to  manage  the  full  data  life-­‐cycle  from  import  to  valida$on,  cura$on,  harmoniza$on  and  publica$on  

I  need  to  offer  to  my  team  a  powerful  tool  to  manage  code-­‐lists  

I  need  to  store  and  analyze  geospa$al  explicit  informa$on    

I  need  to  reduce  the  costs  of    data  maintenance  of  my  dept.    

Page 13: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Born  from  the  user  needs  

13  iMarine  -­‐  Just  an  overview  

I  need  to  access  authorita$ve  biological  and  ecological  data    

I  need  to  simplify  the  access  to  my  geospa$al  data    

I  need  to  mash-­‐up  sta$s$cal  and    biodiversity  data    

I  need  to  validate  my  datasets  and  provide    a  standard  access  to  them  

I  need  to  analyse  my  big  datasets  

Page 14: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

User  Needs  Analysis  

14  iMarine  -­‐  Just  an  overview  

•  Needs  – Not  isolated  – Not  disconnected  – Not  trivial  

•  Solu$ons  – Actual  and  with  an  eye  to  the  future  

– Designed  for  individuals  and  looking  at  the  community  

Page 15: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

iMarine  e-­‐infrastructure    

iMarine  is  exploi$ng  D4Science.org  

iMarine  -­‐  Just  an  overview   15  

Geographically  Distributed  Compu$ng  

Infrastructure  

Across  administra$ve  boundaries  

Across  private  and  commercial  

providers  

Service  Alloca$ons,  Deployment,  

Monitoring,  and  Opera$on  

Uniform  resource  and  data  access  

Opera$on   Built  on  SLAs  

Support  monitoring,  audi$ng,  repor$ng,  and  no$fica$on  

Trust   Privacy,  governance,  and  apribu$on  

Security,  trusted  network  

Page 16: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Infrastructure:  key  characteris$cs  •  Efficient  and  tailored  storage  technologies    

•  Computa=onal  environments  dealing  with  the  volume  of  the  data  

•  Elas=c  management  of  the  resources,  monitoring,  aler$ng,  recovery  

•  Collabora=ve  environment  to  support  scien$fic  communi$es  

•  Rich  porQolio  of  applica=ons  to  perform  access,  valida$on,  enriching,  processing,  sharing,  and  mash-­‐up  of  data    

iMarine  -­‐  Just  an  overview   16  

Page 17: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Capaci$es:  Storage  as  Service  

17  iMarine  -­‐  Just  an  overview  

 

to  host  and  maintain  data  

Database  High-­‐availability  

Standard  Ready-­‐to-­‐use  

Cloud  Storage  Scalable  Reliable  Secure  

Geographical  DB  Scalable  

OGC  Standard    Privacy  and  AEribuFon  

Page 18: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Capaci$es:  Compu$ng  as  Service  

18  iMarine  -­‐  Just  an  overview  

 

to  process  and  extract  knowledge  

Scalable    Easy  to  Manage  Across  Boundaries  

Tailored  

Elas<c  Assignment  of  CompuFng  Assignment  of  Processors  

Virtual  Research  Environment  

Rich  and  Heterogeneous  High  Throughput    Map-­‐Reduce  Parallel  R  

Page 19: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Applica$ons  as  a  Service    

19  iMarine  -­‐  Just  an  overview  

 

to  curate  and  manage  data  

Metadata  Genera<on  GeospaFal  Data  Biodiversity  Data  StaFsFcal  Data  

Harmoniza<on  Disambiguate    

Validate  Integrate  and  Consistency  Check  

Data  Exchange  OGC  protocols  DarwinCore  

SDMX  

Page 20: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

THE  APPLICATIONS  CATALOGUE  

Distinguishing capabilities of the iMarine catalogue of applications  

iMarine  -­‐  Just  an  overview   20  

Page 21: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Management  and  interpreta$on  of  biological  and  ecological  data  in  the  environment  

Complete  full  life-­‐cycle  data  framework,  from  observa$onal  data  to  aggregated  data  repositories  enriched  with  valida$on  and  analy$cal  tools  

Storage  and  interpreta$on  of  geospa$al  explicit  informa$on,  including  WPS  processing  

Flexible  sharing,  storage,  repor$ng,  search  and  retrieval,  aggrega$on  and  projec$on  facili$es  

Applica$ons  as  a  Service  

iMarine  -­‐  Just  an  overview  

A  BUNDLE  is  a  set  of  

services  and  technologies  grouped  

according  to  a  family  of  related  tasks  for    

achieving  a  common  objec$ve  

21  

Page 22: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Occurrence  and  Taxonomic  Data  Discovery  Occurrence  Data  Processing  Species  Distribu=on  Modeling  Species  Distribu=on  Maps  Discovery  Taxonomic  Data  Comparison  Taxonomic  Data  Matching  

Code  List  Discovery  Code  List  Management  Sta=s=cal  Engine  Tabular  Data  Discovery  Tabular  Data  Enrichment    Tabular  Data  Management  Tabular  Data  Processing  

Geospa=al  Data  Discovery  Geospa=al  Data  Processing  

Enhanced  Documents  Management  Fact-­‐sheets  Management    Informa=on  Object  Discovery  Messaging  Shared  Workspace  Social  Networking  Facili=es  

Applica$ons  as  a  Service  

22  iMarine  -­‐  Just  an  overview  

A  BUNDLE  is  a  set  of  

services  and  technologies  grouped  

according  to  a  family  of  related  tasks  for    

achieving  a  common  objec$ve  

Page 23: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

THE  DATA  CATALOGUE    

Distinguishing capabilities of the iMarine catalogue of applications  

iMarine  -­‐  Just  an  overview   23  

Page 24: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

iMarine  

OBIS  WoRMS  

WoRDS  

GBIF  

CoL  

ITIS  

IRMNG  NCBI  

MyOcean  

WOA  

EuroStat  

Data.FAO  

…  

Data  

24  iMarine  -­‐  Just  an  overview  

iMarine  Registries  

Valida=on  

Enriching  

Processing  

Sharing  

Page 25: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Data  

Ontologies  and  Data  

Warehouses  

Biological  and  

Ecological  Data  

GeoSpa$al  Data  

Sta$s$cal  Data  

Documents    

iMarine  -­‐  Just  an  overview  

DarwinCore  /  ISO19139  >35  M  Observa$ons  (OBIS)  ≈  120  K  Observed  Species  (OBIS)  ≈  500  K  Taxa  (WoRMS)  >600  K  Scien$fic  Names  (ITIS)  >12  K  Species  Maps  (AquaMaps)  ≈  600  Species  Extent  (FAO)  …  FishBase,  SeaLifeBase  …  CoL,  GBIF  

SDMX  *  Ø  FAO  CodeLists  Ø  IRD  CodeLists    Ø  FAO  datasets  Ø  Eurostat  Ø  …  

ISO19139  (OGC  W*S)  Ø  15  years  Chemical  and  Physical  variables  in  2D  space  

Ø  Ice  concentra$on  and  velocity,  Chlorophyll,  Oxygen,  Nitrate,  Phosphate,  Phytoplankton  as  carbon,  Salinity,  Temperature,  …  

Ø  On-­‐demand  Chemical  and  Physical  variables    in  3D  space  Ø  Apparent  Oxygen  U$liza$on,  Dissolved  Oxygen,  Salinity,  Temperature,  …  

>  450  

varia

bles    

25  

OAI-­‐PMH,  OpenSearch  Ø  FAO  Facksheets  Ø  Aqua$c  Commons  Ø  Bioline  Interna$onal  Ø  Biodiversity  Heritage  Ø  OceanDocs  Ø  Nature,  PenSo^  

Journals  Ø  …  

RDF,  OWL  Ø  FAO  FLOD  Ø  Marine  Top  Level  Ontology  Ø  IRD  Ecoscope  Ø  FactForge,  Yago2  Ø  …  

Page 26: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

THE  COLLABORATIVE  ENVIRONMENT  

Distinguishing capabilities of the iMarine collaborative environment  

iMarine  -­‐  Just  an  overview   26  

Page 27: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Is  this  enough?  •  An  ecosystem  of  par$cipatory  data  e-­‐Infrastructures    

•  Regulated  by  policies  •  Enabled  by  standards  •  Promo$ng  not  only  access  but  mash-­‐up  of  heterogeneous  data  

iMarine  -­‐  Just  an  overview  

User  centric    27  

Page 28: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Virtual  Research  Environment    iMarine  is  user-­‐centric  and  workflow-­‐oriented  thanks  to  the  gCube  VRE  technology    

Virtual  Research  Environment  (VRE)  is    •  a  distributed  and  dynamically  created  environment    •  where  subset  of  data,  services,  computa$onal,  and  storage  resources    •  regulated  by  tailored  policies  •  are  assigned  to  a  subset  of  users  via  interfaces  •  for  a  limited  =meframe  •  at  li_le  or  no  cost  for  the  providers  of  the  par$cipatory  data  e-­‐infrastructures  

iMarine  -­‐  Just  an  overview  

L.  Candela,  D.  Castelli,  P.  Pagano  (2013)  Virtual  Research  Environments:  An  Overview  and  a  Research  Agenda.  Data  Science  Journal,  Vol.  12  

28  

e-­‐Infrastructure  VRE  VRE  

VRE  

Page 29: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Virtual  Research  Environment  

29  iMarine  -­‐  Just  an  overview  

 

to  share  and  collaborate  

Share  Database  Tables  

Workflow    Files  

Communicate    Post  

Favourite  ConnecFon  

Organize  Dynamic  VRE  CreaFon  

Secure    Policy  Control  

Page 30: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Infrastructure:  Collabora$ve  Environment  

iMarine  -­‐  Just  an  overview  

A  single  place  to  • Get  status  and  updates  from  applica$ons  and  other  users  they  are  interested  in;  • Get  no$fica$ons  about  messages,  jobs  comple$on,  new  generated  products,  etc.  

30  

Share  Updates  

User  news  feed  

VREs  user  is  member  of  

Page 31: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Infrastructure:  Collabora$ve  Environment  

iMarine  -­‐  Just  an  overview  

A  single  place  to  • Get  status  and  updates  from  applica$ons  and  other  users  they  are  interested  in;  • Get  no$fica$ons  about  messages,  jobs  comple$on,  new  generated  products,  etc.  

Feeds fromApplications

Feed from Users

31  

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Infrastructure:  Collabora$ve  Environment  

iMarine  -­‐  Just  an  overview  

A  single  place  to  • Manage  data,  store  and  preserve  them  • Share  data  

32  

Page 33: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

THE  SOFTWARE  

Distinguishing capabilities of gCube software  

iMarine  -­‐  Just  an  overview   33  

Page 34: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

iMarine  Technology  

•  iMarine  is  powered  by  gCube  

iMarine  -­‐  Just  an  overview   34  

openhub.net  

Page 35: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

USE  CASES  Few examples of the analytics capabilities  

iMarine  -­‐  Just  an  overview   35  

Page 36: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Geospa$al  Analysis  

Ecology  

Biodiversity  

Life  History  Traits  

Prac$cal  Examples  

iMarine  -­‐  Just  an  overview   36  

Page 37: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Geospa$al  Analysis  

iMarine  -­‐  Just  an  overview   37  

Page 38: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Rasteriza$on  

A  polygonal  map  is  transformed  into  a  raster  map  or  into  a  point  map  

iMarine  -­‐  Just  an  overview   38  

Page 39: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Maps  Comparison  

compare  

Compares  :    •  Species  Distribu$on  

maps  •  Environmental  layers  •  SAR  Images  

iMarine  -­‐  Just  an  overview   39  

Page 40: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Periodicity  and  Seasonality  

Periodicity:  12  months  Extrac=on  Tools   Fourier  Analysis  

iMarine  -­‐  Just  an  overview   40  

Page 41: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Environmental  Signal  Processing  

Resampling  

Spectrogram  

iMarine  -­‐  Just  an  overview   41  

Page 42: iMarine data e-infrastructure: Data access, harmonization, analysis, and management platform

Water\Height  Column  

Given  a  layer  containing  3D  environmental  informa$on    •  Extract  the  environmental  informa$on  along  Z  given  X,Y,T  at  resolu$on  R  

•  Produce  charts  and  ranges  

iMarine  -­‐  Just  an  overview   42  

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Ecology  

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Niche  Modelling  

•  AquaMaps  –  Suitable  Habitat  •  AquaMaps  –  Na$ve  Habitat  •  AquaMaps  for  2050  Scenario  •  Ar$ficial  Neural  Networks  

Gadus  morhua  

AquaMaps  -­‐  Suitable  Habitat  

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Outliers  Detec$on  

Presence  Points  

Density-­‐based    Clustering    

and  Outliers  detec$on    

Distance  Based  Clustering  

K-­‐Means  

X-­‐Means  

DBScan  

Cetorhinus  maximus  

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Biodiversity  

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Climate  Changes  Effects  on  Species  

Es$mated  impact  of  climate  changes  over  20  years  on  11549  

species.  Pseudanthias  evansi  

The  occupancy  by  the  Pseudanthias  evansi  

decreases  in  Area  71  but  increases  in  Area  77  

Bioclimate  HSpec  

Overall  occupancy  in  =me  

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Similarity  between  habitats  Habitat  Representa$veness  Score:  

 1.  Measures  the  similarity  between  the  environmental  features  of  two  areas  

2.  Assesses  the  quality  of  models  and  environmental  features  

HRS=10.5  

Habitat  Representa$veness    

Score  

La$meria  chalumnae  

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Occurrence  Data  from  GBIF   Occurrence  Data  from  Obis  

∩  Intersec=on  

-­‐  Difference  

ᴜ  Union  

A  

x,y  

Event  Date  

Modif  Date  

Author  

Species  Scien=fic  Name  

Occurrence  Points  

B  

x,y  

Event  Date  

Modif  Date  

Author  

Species  Scien=fic  Name  

Records    

Similarity  

DD  Duplicates  Dele=on  

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BiOnym  

A  flexible  workflow  approach  to  taxon  name  matching    Accounts  for:  •  Varia$ons  in  the  spelling  and  

interpreta$on  of  taxonomic  names  

•  Combina$on  of  data  from  different  sources  

•  Harmoniza$on  and  reconcilia$on  of  Taxa  names  

Raw  Input  String  Gadus  morua  Lineus  1758  

Correct  Transcrip$on:    Gadus  morhua  (Linnaeus,  1758)  

Preprocessing  And  

Parsing    

Taxon  name  Matcher  1  

Taxon  name  Matcher  2  

Taxon  name  Matcher  n  

PostProcessing  

Reference  Source  (ASFIS)  

Reference  Source  

(FISHBASE)  

Reference  Source  

(WoRMS)  

Reference  Source  (Other  in  DwC-­‐A)  

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Trendylyzer  -­‐  Recognize  Big  Changes  in  Species  Presence  

•  Fill  some  knowledge  gaps  on  marine  species  •  Account  for  sampling  biases  •  Define  trends  for  common  species  

Plankton regime shift

Herring recovered after the fish ban

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Life  History  Traits  

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𝑊=𝑎𝐿↑𝑏   Calculate  the  a  and  b  parameters  for  14  230  species  by  means  of  Bayesian  Methods  

Length-­‐Weight  Rela$onships  

Approach:  Ø  Collabora$ve  development  with  the  final  user  Ø  Integra$on  of  user’s  R  Scripts  Ø Usage  of  parallel  processing  for  R  Scripts  Ø  Periodic  runs  

bluewatermag.com.au  

Ø  The  por$ng  to  the  D4Science  Sta$s$cal  Manager  allowed  to  run  the  scripts  in  distributed  fashion  

Ø  The  $me  reduc$on  was  from  20  days  to  11  hours!  95.4%  reduc=on  

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Safe  Biological  Limits  of  Large  Stocks  

Re-­‐es$mated  SSB  limit  

Re-­‐es$mated  HS  

Rule-­‐based  HS  

Re-­‐es$mated  precau$onary  limit  

Es=mate  biological  limits  for  50  Northeast  Atlan=c  fish  stocks    Ø  Use  real  measures  Ø  Rely  on  previous  expert  knowledge  Ø  Use  Bayesian  models  to  combine  

informa$on    

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Resilience  vs  Produc$vity  of  a  Species  

Best  Resilience  and  Produc$vity  pair    for  the  species  

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THE  WAY  TO  USE  IT  

Distinguishing capabilities of the exploitation models  

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Mul$-­‐tenant  Delivery  Model  

Infrastructure  as  a  Service  

•  Dynamic  deployment  •  Hos$ng  •  Resource  Lifecycle  • Monitoring  •  Accoun$ng  •  Security  

So^ware  as  a  Service  

•  BiolCube  •  ConnectCube  •  GeosCube  •  StatsCube  

PlaUorm  as  a  Service  

•  FeatherWeightStack  •  SmartGears  •  Applica$onSupportLayer  •  SOA3  

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Landscape      

D4Science  e-­‐Infrastructure  

gCube  Framework  

gCube  Apps  

Discussion  

 

www.i-­‐marine.eu      

i-­‐marine.d4science.org    

www.openhub.net/p/gCube    

info@i-­‐marine.eu          

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Google  Analy$cs  iMarine  portal  

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