Journal ArticleDOI
The Global Index of Vegetation-Plot Databases (GIVD): a new resource for vegetation science
Jürgen Dengler,Florian Jansen,Falko Glöckler,Robert K. Peet,Miquel De Cáceres,Milan Chytrý,Jörg Ewald,Jens Oldeland,Gabriela Lopez-Gonzalez,Manfred Finckh,Ladislav Mucina,J.S. Rodwell,Joop H.J. Schaminée,Nick Spencer +13 more
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TLDR
The Global Index of Vegetation-Plot Databases (GIVD) as discussed by the authors is an Internet resource aimed at registering metadata on existing vegetation plots databases to be accessible to the scientific public.Abstract:
Question: How many vegetation plot observations (releves) are
available in electronic databases, how are they geographically
distributed, what are their properties and how might they be
discovered and located for research and application? Location:
Global. Methods: We compiled the Global Index of
Vegetation-Plot Databases (GIVD; http://www.givd.info), an
Internet resource aimed at registering metadata on existing
vegetation databases. For inclusion, databases need to (i)
contain temporally and spatially explicit species co-occurrence
data and (ii) be accessible to the scientific public. This
paper summarizes structure and data quality of databases
registered in GIVD as of 30 December 2010. Results: On the
given date, 132 databases containing more than 2.4 million
non-overlapping plots had been registered in GIVD. The majority
of these data were in European databases (83 databases, 1.6
million plots), whereas other continents were represented by
substantially less (North America 15, Asia 13, Africa nine,
South America seven, Australasia two, multi-continental three).
The oldest plot observation was 1864, but most plots were
recorded after 1970. Most plots reported vegetation on areas of
1 to 1000 m2; some also stored time-series and nested-plot
data. Apart from geographic reference (required for inclusion),
most frequent information was on altitude (71%), slope aspect
and inclination (58%) and land use (38%), but rarely soil
properties (<7%). Conclusions: The vegetation plot data in GIVD
constitute a major resource for biodiversity research, both
through the large number of species occurrence records and
storage of species co-occurrence information at a small scale,
combined with structural and plot-based environmental data. We
identify shortcomings in available data that need to be
addressed through sampling under-represented geographic
regions, providing better incentives for data collection and
sharing, developing user-friendly database exchange standards,
as well as tools to analyse and remove confounding effects of
sampling biases. The increased availability of data sets
conferred by registration in GIVD offers significant
opportunities for large-scale studies in community ecology,
macroecology and global change research.read more
Citations
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Database of anthropogenic vegetation of the Urals and adjacent territories
TL;DR: The main data on the geobotanical database of antropogenic vegetation of Urals and adjacent territories registered in the Global Index of Vegetation-Plot Databases and the European Vegetation Archive are presented as discussed by the authors.
Journal ArticleDOI
Online appendix 1:Vegetation of the eastern communal conservancies in Namibia: I. Phytosociological descriptions
TL;DR: Espach et al. as mentioned in this paper found that the concept of carrying capacity has since changed from a fixed rate per area to a biomass concept, which is an (annually changing) estimate of the amount of fodder produced during the previous season's rainfall.
Journal ArticleDOI
Chilean vegetation in the context of the Braun-Blanquet approach and a comparison with EcoVeg formations
Miguel Alvarez,Federico Luebert +1 more
TL;DR: In this article , a database of 1,582 plot observations, which are classified into 29 classes, 43 orders, 65 alliances, and 162 associations according to the Braun-Blanquet approach, are presented.
Journal ArticleDOI
Leveraging AI to Estimate Caribou Lichen in UAV Orthomosaics from Ground Photo Datasets
TL;DR: In this article, Li et al. used a neural network trained on ground photo mosaics to predict lichen in UAV orthomosaic tiles and achieved mean user and producer accuracies of 85.84% and 92.93%, respectively, in the high lichen class across eight different orthomorphics.
Journal ArticleDOI
ArgVeg – Database of Central Argentina
Melisa A. Giorgis,Marcelo Cabido,Ana M. Cingolani,Maria Virginia Palchetti,Sebastián R. Zeballos,Juan Jose Cantero,Alicia Teresa Rosario Acosta +6 more
TL;DR: The ArgVeg database as mentioned in this paper is a repository of vegetation-plots data registered in the Global Index of Vegetation Databases (GIVD ID: SA-AR-002).
References
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Journal ArticleDOI
Pflanzensoziologie: Grundzuge der Vegetationskunde.
Journal ArticleDOI
A Significant Upward Shift in Plant Species Optimum Elevation During the 20th Century
TL;DR: This study shows that climate warming has resulted in a significant upward shift in species optimum elevation averaging 29 meters per decade, which is larger for species restricted to mountain habitats and for grassy species, which are characterized by faster population turnover.
Journal ArticleDOI
Drought sensitivity of the Amazon rainforest.
Oliver L. Phillips,Luiz E. O. C. Aragão,Simon L. Lewis,Joshua B. Fisher,Jon Lloyd,Gabriela Lopez-Gonzalez,Yadvinder Malhi,Abel Monteagudo,Julie Peacock,Carlos A. Quesada,Geertjer Van Der Heijden,Samuel Almeida,Iêda Leão do Amaral,Luzmila Arroyo,Gerardo Aymard,Timothy R. Baker,Olaf Bánki,Lilian Blanc,Damien Bonal,Paulo M. Brando,Jérôme Chave,Atila Alves de Oliveira,Nallaret Davila Cardozo,Claudia I. Czimczik,Ted R. Feldpausch,Maria Aparecida Freitas,Emanuel Gloor,Niro Higuchi,E. M. Jimenez,Gareth Lloyd,Patrick Meir,Casimiro Mendoza,Alexandra C. Morel,David A. Neill,Daniel C. Nepstad,Sandra Patiño,M. C. Peñuela,Adriana Prieto,Fredy Ramírez,Michael P. Schwarz,Javier Silva,Marcos Silveira,Anne Sota Thomas,Hans ter Steege,Juliana Stropp,Rodolfo Vasquez,Przemyslaw Zelazowski,Esteban Alvarez Dávila,Sandy J. Andelman,Ana Andrade,Kuo-Jung Chao,Terry L. Erwin,Anthony Di Fiore,C Eurídice Honorio,Helen C. Keeling,Timothy J. Killeen,William F. Laurance,Antonio Peña Cruz,Nigel C. A. Pitman,Percy Núñez Vargas,Hirma Ramírez-Angulo,Agustín Rudas,Rafael Salamão,Natalino Silva,John Terborgh,Armando Torres-Lezama +65 more
TL;DR: Records from multiple long-term monitoring plots across Amazonia are used to assess forest responses to the intense 2005 drought, a possible analog of future events that may accelerate climate change through carbon losses and changed surface energy balances.