Maria Dornelas
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Maria Dornelas

MARE - Centro de Ciências do Mar e do Ambiente, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

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

Representative Publications

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6 August 2007 in Ecology Letters
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Journal Article
Closed access
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BMBrian J. McGill
Brian J. McGill
RERampal S. Etienne
Rampal S. Etienne
JGJohn S. Gray
John S. Gray
DADavid Alonso
David Alonso
MAMarti J. Anderson
Marti J. Anderson
EWEthan O White
Ethan O White

18 April 2014 in Science
Verified
Journal Article
Open access
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MDMaria Dornelas
Maria Dornelas
NGNicholas J. Gotelli
Nicholas J. Gotelli
BMBrian McGill
Brian McGill
HSHideyasu Shimadzu
Hideyasu Shimadzu
FMFaye Moyes
Faye Moyes
AMAnne Magurran
Anne Magurran
Changing Assemblages: Although the rate of species extinction has increased markedly as a result of human activity across the biosphere, conservation has focused on endangered species rather than on shifts in assemblages. Dornelas et al. (p. 296 ; see the Perspective by Pandolfi and Lovelock ), using an extensive set of biodiversity time series of species occurrences in both marine and terrestrial habitats from the past 150 years, find species turnover above expected but do not find evidence of systematic biodiversity loss. This result could be caused by homogenization of species assemblages by invasive species, shifting distributions induced by climate change, and asynchronous change across the planet. All of which indicates that it is time to review conservation priorities.

18 October 2019 in Science
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Journal Article
Closed access
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SBShane Blowes
Shane Blowes
SSSarah R. Supp
Sarah R. Supp
LALaura H. Antão
Laura H. Antão
ABAmanda Bates
Amanda Bates
HBHelge Bruelheide
Helge Bruelheide
MDMaria Dornelas
Maria Dornelas
Spatial structure of species change: Biodiversity is undergoing rapid change driven by climate change and other human influences. Blowes et al. analyze the global patterns in temporal change in biodiversity using a large quantity of time-series data from different regions (see the Perspective by Eriksson and Hillebrand). Their findings reveal clear spatial patterns in richness and composition change, where marine taxa exhibit the highest rates of change. The marine tropics, in particular, emerge as hotspots of species richness losses. Given that human activities are affecting biodiversity in magnitudes and directions that differ across the planet, these findings will provide a much needed biogeographic understanding of biodiversity change that can help inform conservation prioritization. Science , this issue p. 339 ; see also p. 308

1 February 2015 in Trends in Ecology & Evolution
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Journal Article
Closed access
BMBrian J. McGill
Brian J. McGill
MDMaria Dornelas
Maria Dornelas
NGNicholas J. Gotelli
Nicholas J. Gotelli
AMAnne Magurran
Anne Magurran

24 July 2018 in Global Ecology and Biogeography
Verified
Journal Article
Open access
PDF file
MDMaria Dornelas
Maria Dornelas
LALaura H. Antão
Laura H. Antão
FMFaye Moyes
Faye Moyes
ABAmanda E. Bates
Amanda E. Bates
AMAnne Magurran
Anne Magurran
Michael Lothar ZettlerMichael Lothar Zettler
Michael Lothar Zettler
Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community‐led open‐source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene.Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record.Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2(158 cm2) to 100 km2(1,000,000,000,000 cm2).Time period and grain: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year.Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.Software format: .csv and .SQL.

4 May 2020 in Nature Ecology & Evolution
Verified
Journal Article
Closed access
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LALaura H. Antão
Laura H. Antão
ABAmanda E. Bates
Amanda E. Bates
SBShane Blowes
Shane Blowes
CWConor Waldock
Conor Waldock
SSSarah R. Supp
Sarah R. Supp
ASAafke Schipper
Aafke Schipper