Adi Barash

Ms. Adi Barash

University of Haifa, Haifa, Israel
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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1 June 2012 in Marine Genomics
Verified
Journal Article
Closed access
YTYaron Tikochinski
Yaron Tikochinski
RBR. Bendelac
R. Bendelac
ABAdi Barash
Adi Barash
ADA. Daya
A. Daya
YLY. Levy
Y. Levy
AFA. Friedmann
A. Friedmann

28 April 2020 in Mediterranean Marine Science
Verified
Journal Article
Closed access
CMCecilia Mancusi
Cecilia Mancusi
RBRomano Baino
Romano Baino
CFCaterina Fortuna
Caterina Fortuna
LSLuis GIL DE Sola
Luis GIL DE Sola
GMGabriel Morey
Gabriel Morey
Fabrizio SerenaFabrizio Serena
Fabrizio Serena
The Mediterranean Large Elasmobranchs Monitoring (MEDLEM) database contains over 3000 records (more than 4000 individuals) of large elasmobranch species from 20 different countries around the Mediterranean and Black seas, observed from 1666 to 2017. The main species included in the archive are the devil fish (1 813 individuals), the basking shark (939 individuals), the blue shark (585 individuals) and the great white shark (337 individuals).In the last decades other species such as the shortfin mako (166 individuals), the spiny butterfly ray (138) and the thresher shark (174 individuals) were reported with an increasing frequency. This was possibly due to an increased public awareness on the conservation status of sharks, and a consequent development of new monitoring programmes. MEDLEM does not have a homogeneous reporting coverage throughout the Mediterranean and Black seas and it should be considered as a database of observed species presence. Scientific monitoring efforts in the south-eastern Mediterranean and Black seas are generally lower than in the northern sectors and the absence in our database of some species does not imply their actual absence in these regions. Some considerations are made on the frequency and spatial distribution of records, size structure of the observed individuals for selected species, general area coverage and species involved as by-catch by fishing gear.

1 December 2021 in Marine Policy
Verified
Journal Article
Closed access
Ioannis GiovosIoannis Giovos
Ioannis Giovos
ABAdi Barash
Adi Barash
MBMonica Barone
Monica Barone
CBClaudio Barría
Claudio Barría
DBDiego Borme
Diego Borme
Carlotta MazzoldiCarlotta Mazzoldi
Carlotta Mazzoldi

14 May 2025 in Global Ecology and Biogeography
Verified
Journal Article
Open access
MDMaria Dornelas
Maria Dornelas
LALaura H. Antão
Laura H. Antão
ABAmanda E. Bates
Amanda E. Bates
VBViviana Brambilla
Viviana Brambilla
JCJonathan M. Chase
Jonathan M. Chase
AZAssaf Zvuloni
Assaf Zvuloni
Motivation: Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database.Main Types of Variables Included: The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years.Spatial Location and Grain: Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size.Time Period and Grain: The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample‐level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric.Major Taxa and Level of Measurement: The database includes any eukaryotic taxa, with a combined total of 56,400 taxa.Software Format: csv and. SQL.

10 March 2020 in Aquatic Conservation: Marine and Freshwater Ecosystems
Verified
Journal Article
Closed access
PDF file
SCShahar Chaikin
Shahar Chaikin
JBJonathan Belmaker
Jonathan Belmaker
ABAdi Barash
Adi Barash

12 March 2018 in Marine Ecology Progress Series
Verified
Journal Article
Closed access
ABAdi Barash
Adi Barash
RPR Pickholtz
R Pickholtz
EPE Pickholtz
E Pickholtz
LBL Blaustein
L Blaustein
Gil RilovGil Rilov
Gil Rilov