Vassiliki Kati

Prof. Vassiliki Kati


Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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16 December 2016 in Science
Verified
Journal Article
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PIPierre L. Ibisch
Pierre L. Ibisch
MHMonika T. Hoffmann
Monika T. Hoffmann
SKStefan Kreft
Stefan Kreft
GPGuy Pe’er
Guy Pe’er
VKVassiliki Kati
Vassiliki Kati
NSNuria Selva
Nuria Selva
Too many roads: Roads have done much to help humanity spread across the planet and maintain global movement and trade. However, roads also damage wild areas and rapidly contribute to habitat degradation and species loss. Ibisch et al. cataloged the world's roads. Though most of the world is not covered by roads, it is fragmented by them, with only 7% of land patches created by roads being greater than 100 km 2 . Furthermore, environmental protection of roadless areas is insufficient, which could lead to further degradation of the world's remaining wildernesses. Science , this issue p. 1423

16 December 2016 in Ecology and Evolution
Verified
Journal Article
Open access
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LHLawrence N. Hudson
Lawrence N. Hudson
TNTim Newbold
Tim Newbold
SCSara Contu
Sara Contu
SHSamantha L. L. Hill
Samantha L. L. Hill
ILIgor Lysenko
Igor Lysenko
APAndy Purvis
Andy Purvis
The PREDICTS project—Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (https://www.nhm.ac.uk/our-science/our-work/biodiversity/predicts.html)—has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.

2 December 2014 in Ecology and Evolution
Verified
Journal Article
Open access
PDF file
LHLawrence N. Hudson
Lawrence N. Hudson
TNTim Newbold
Tim Newbold
SCSara Contu
Sara Contu
SHSamantha L. L. Hill
Samantha L. L. Hill
ILIgor Lysenko
Igor Lysenko
APAndy Purvis
Andy Purvis
Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species’ threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project – and avert – future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local‐scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups – including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of thePREDICTSproject (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems –https://www.nhm.ac.uk/our-science/our-work/biodiversity/predicts.html). We make site‐level summary data available alongside this article. The full database will be publicly available in 2015.

10 May 2004 in Conservation Biology
Verified
Journal Article
Closed access
PDF file
VKVassiliki Kati
Vassiliki Kati
PDPierre Devillers
Pierre Devillers
MDMarc Dufrene
Marc Dufrene
ALAnastasios Legakis
Anastasios Legakis
Despoina VokouDespoina Vokou
Despoina Vokou
PLPhilippe Lebrun
Philippe Lebrun

1 August 2013 in Ecological Indicators
Verified
Journal Article
Closed access
SSStefan Schindler
Stefan Schindler
HWHenrik von Wehrden
Henrik von Wehrden
KPKostas Poirazidis
Kostas Poirazidis
TWThomas Wrbka
Thomas Wrbka
VKVassiliki Kati
Vassiliki Kati

7 August 2014 in Conservation Biology
Verified
Journal Article
Closed access
PDF file
VKVassiliki Kati
Vassiliki Kati
THTasos Hovardas
Tasos Hovardas
MDMartin Dieterich
Martin Dieterich
PIPierre L. Ibisch
Pierre L. Ibisch
BMBarbara Mihok
Barbara Mihok
NSNuria Selva
Nuria Selva