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Journal articles on the topic 'Vegetation-plot database'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Küzmič, Filip, Urban Šilc, Zdeňka Lososová, et al. "European Weed Vegetation Database – a gap-focused vegetation-plot database." Phytocoenologia 50, no. 1 (2020): 93–100. http://dx.doi.org/10.1127/phyto/2019/0337.

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2

Alessi, Nicola, Vanessa Bruzzaniti, Fabrizio Buldrini, et al. "AMS-VegBank: a new database of vegetation plots for the Italian territory." Vegetation Classification and Survey 3 (August 23, 2022): 177–85. https://doi.org/10.3897/VCS.85083.

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The importance of collection, storage and exchange of georeferenced vegetation plot-based data has significantly grown in the recent decades, because of the new potentialities offered by ecoinformatics. In this article we introduce the Alma Mater Studiorum – University of Bologna vegetation database (AMS-VegBank; GIVD code EU-IT-021) compiling 17,505 georeferenced vegetation-plot observations within a time span of 90 years. This database includes 337,799 occurrence data of vascular plant species, belonging to many different habitat types. The historical relevance of the presented database is h

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3

Peet, Robert, Michael Lee, Forbes Boyle, Thomas Wentworth, Michael Schafale, and Alan Weakley. "Vegetation-plot database of the Carolina Vegetation Survey." Biodiversity & Ecology 4 (September 10, 2012): 243–53. http://dx.doi.org/10.7809/b-e.00081.

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4

Alessi, Nicola, Vanessa Bruzzaniti, Fabrizio Buldrini, et al. "AMS-VegBank: a new database of vegetation plots for the Italian territory." Vegetation Classification and Survey 3 (August 23, 2022): 177–85. http://dx.doi.org/10.3897/vcs.85083.

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The importance of collection, storage and exchange of georeferenced vegetation plot-based data has significantly grown in the recent decades, because of the new potentialities offered by ecoinformatics. In this article we introduce the Alma Mater Studiorum – University of Bologna vegetation database (AMS-VegBank; GIVD code EU-IT-021) compiling 17,505 georeferenced vegetation-plot observations within a time span of 90 years. This database includes 337,799 occurrence data of vascular plant species, belonging to many different habitat types. The historical relevance of the presented database is h

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5

Fungomeli, Maria, Anthony Githitho, Fabrizio Frascaroli, Saidi Chidzinga, Marcus Cianciaruso, and Alessandro Chiarucci. "A new Vegetation-Plot Database for the Coastal Forests of Kenya." Vegetation Classification and Survey 1 (June 16, 2020): 103–9. http://dx.doi.org/10.3897/vcs/2020/47180.

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Biodiversity data based on standardised sampling designs are key to ecosystem conservation. Data of this sort have been lacking for the Kenyan coastal forests despite being biodiversity hotspots. Here, we introduce the Kenyan Coastal Forests Vegetation-Plot Database (GIVD ID: AF-KE-001), consisting of data from 158 plots, subdivided into 3,160 subplots, across 25 forests. All plots include data on tree identity, diameter and height. Abundance of shrubs is presented for 316 subplots. We recorded 600 taxa belonging to 80 families, 549 of which identified to species and 51 to genus level. Species

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6

Fungomeli, Maria, Anthony Githitho, Fabrizio Frascaroli, Saidi Chidzinga, Marcus Cianciaruso, and Alessandro Chiarucci. "A new Vegetation-Plot Database for the Coastal Forests of Kenya." Vegetation Classification and Survey 1, no. () (2020): 103–9. https://doi.org/10.3897/VCS/2020/47180.

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Biodiversity data based on standardised sampling designs are key to ecosystem conservation. Data of this sort have been lacking for the Kenyan coastal forests despite being biodiversity hotspots. Here, we introduce the Kenyan Coastal Forests Vegetation-Plot Database (GIVD ID: AF-KE-001), consisting of data from 158 plots, subdivided into 3,160 subplots, across 25 forests. All plots include data on tree identity, diameter and height. Abundance of shrubs is presented for 316 subplots. We recorded 600 taxa belonging to 80 families, 549 of which identified to species and 51 to genus level. Species

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7

Biurrun, Idoia, and Xavier Font. "SIVIM Floodplain Forests – Database of riverine forests and scrubs from the Iberian Peninsula." Vegetation Classification and Survey 1 (December 21, 2020): 171–72. http://dx.doi.org/10.3897/vcs/2020/61660.

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“SIVIM Floodplain Forests“ (GIVD ID: EU-00-024) is a thematic database focused on vegetation plots of riverine forests and scrubs from the Iberian Peninsula and the Pyrenees (Spain, Portugal and southern France). It was registered in the GIVD in February 2016. The data are available both from EVA and sPlot in semi-restricted regime. The database includes both digitized relevés from the literature and unpublished data. Many digitized relevés were derived from SIVIM (GIVD ID EU-00-004) and BIOVEG (GIVD ID EU-00-011), with which SIVIM Floodplain Forests thus partly overlaps. Currently it contains

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8

Biurrun, Idoia, and Xavier Font. "SIVIM Floodplain Forests – Database of riverine forests and scrubs from the Iberian Peninsula." Vegetation Classification and Survey 1, no. () (2020): 171–72. https://doi.org/10.3897/VCS/2020/61660.

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"SIVIM Floodplain Forests" (GIVD ID: EU-00-024) is a thematic database focused on vegetation plots of riverine forests and scrubs from the Iberian Peninsula and the Pyrenees (Spain, Portugal and southern France). It was registered in the GIVD in February 2016. The data are available both from EVA and sPlot in semi-restricted regime. The database includes both digitized relevés from the literature and unpublished data. Many digitized relevés were derived from SIVIM (GIVD ID EU-00-004) and BIOVEG (GIVD ID EU-00-011), with which SIVIM Floodplain Forests thus partly overlaps. Currently it contains

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9

de Ronde, Iris, Rense Haveman, Anja van der Berg, and Tom van Heusden. "DUMIRA – a management related vegetation plot database of Dutch military ranges." Vegetation Classification and Survey 1 (December 21, 2020): 155–61. http://dx.doi.org/10.3897/vcs/2020/59869.

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In this paper we describe the historical background and contents of the DUMIRA vegetation plot database (GIVD-code EU-NL-003). It contains 13,046 relevés, collected between 1995 and 2018 at military ranges in the Netherlands, and it is updated regularly with new data. Historical circumstances led to the placement of military ranges at the most nutrient poor, dry, sandy soils, and as a result, the database is built up mainly by plots of Calluno-Ulicetea and Nardetea heathlands, Koelerio-Corynephoretea grasslands, and Quercetea robori-petraeae woodlands. These classes account for more than 50% o

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10

de, Ronde Iris, Rense Haveman, der Berg Anja van, and Heusden Tom van. "DUMIRA – a management related vegetation plot database of Dutch military ranges." Vegetation Classification and Survey 1, no. () (2020): 155–61. https://doi.org/10.3897/VCS/2020/59869.

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In this paper we describe the historical background and contents of the DUMIRA vegetation plot database (GIVD-code EU-NL-003). It contains 13,046 relevés, collected between 1995 and 2018 at military ranges in the Netherlands, and it is updated regularly with new data. Historical circumstances led to the placement of military ranges at the most nutrient poor, dry, sandy soils, and as a result, the database is built up mainly by plots of Calluno-Ulicetea and Nardetea heathlands, Koelerio-Corynephoretea grasslands, and Quercetea robori-petraeae woodlands. These classes account for more than 50% o

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11

Campos, Juan Antonio, Arnau Mercadé, and Xavier Font. "SIVIM Deciduous Forests – Database of deciduous forests from the Iberian Peninsula." Vegetation Classification and Survey 1 (December 21, 2020): 173–74. http://dx.doi.org/10.3897/vcs/2020/61776.

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“SIVIM Deciduous Forests” is a thematic database established in 2015, focused on forest vegetation from the Iberian Peninsula and southern France. It was registered in the Global Index of Vegetation Databases (GIVD ID: EU-00-023) in January 2016. All types of temperate and submediterranean non-riparian deciduous forests of the phytosociological classes Carpino-Fagetea sylvaticae, Quercetea pubescentis and Quercetea robori-petraeae (formerly combined in the class Querco-Fagetea) are represented in the database. Currently, it contains 6,642 published vegetation plots of beech, birch, ash, lime a

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Campos, Juan Antonio, Arnau Mercadé, and Xavier Font. "SIVIM Deciduous Forests – Database of deciduous forests from the Iberian Peninsula." Vegetation Classification and Survey 1, no. () (2020): 173–74. https://doi.org/10.3897/VCS/2020/61776.

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"SIVIM Deciduous Forests" is a thematic database established in 2015, focused on forest vegetation from the Iberian Peninsula and southern France. It was registered in the Global Index of Vegetation Databases (GIVD ID: EU-00-023) in January 2016. All types of temperate and submediterranean non-riparian deciduous forests of the phytosociological classes Carpino-Fagetea sylvaticae, Quercetea pubescentis and Quercetea robori-petraeae (formerly combined in the class Querco-Fagetea) are represented in the database. Currently, it contains 6,642 published vegetation plots of beech, birch, ash, lime a

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13

Skobel, Nadiia, Łukasz Kozub, Iwona Dembicz, et al. "Nordic-Baltic Grassland Vegetation Database (NBGVD) – current state and future prospects." Vegetation Classification and Survey 5 (May 23, 2024): 75–84. https://doi.org/10.3897/VCS.119968.

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This Long Database Report describes the historical background and current contents of the Nordic-Baltic Grassland Vegetation Database (NBGVD) (GIVD-code EU-00-002). NBGVD is the EDGG-associated collaborative vegetation-plot database that collects vegetation-plot data of grasslands and other open habitats (except segetal and deep aquatic vegetation) from the Nordic-Baltic region excluding Germany, namely Belarus, Denmark, Estonia, Faroe Islands, Finland, Iceland, Latvia, Lithuania, Norway, N Poland, NW Russia, Svalbard and Jan Mayen, and Sweden. Target vegetation types are lowland grasslands an

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14

Vassilev, Kiril, Hristo Pedashenko, Alexandra Alexandrova, et al. "Balkan Vegetation Database (BVD) – updated information and current status." Vegetation Classification and Survey 1, no. () (2020): 151–53. https://doi.org/10.3897/VCS/2020/61348.

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The Balkan Vegetation Database (BVD; GIVD ID: EU-00-019) is a regional database, which was established in 2014. It comprises phytosociological relevés covering various vegetation types from nine countries of the Balkan Peninsula (Albania – 153 relevés, Bosnia and Herzegovina – 1715, Bulgaria – 12,282, Greece – 465, Croatia – 69, Kosovo – 493, Montenegro – 440, North Macedonia – 13 and Serbia – 2677). Currently, it contains 18,306 relevés (compared to 9.580 in 2016), and most of them (82.8%) are geo-referenced. The database includes both digitized relevés from the literature (65.6%) and unpubli

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15

Novák, Pavel, Veronika Kalníková, Daniel Szokala, et al. "Transcaucasian Vegetation Database – a phytosociological database of the Southern Caucasus." Vegetation Classification and Survey 4 (October 16, 2023): 231–40. http://dx.doi.org/10.3897/vcs.105521.

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The Caucasus is a hotspot of global biodiversity. However, even in the era of big data, this region remains underrepresented in public vegetation-plot databases. The Transcaucasian Vegetation Database (GIVD code AS-00-005) is a novel dataset which primarily aims to compile, store and share vegetation-plot records sampled by the Braun-Blanquet approach and originating from Transcaucasia (the Southern Caucasus), i.e. the countries of Armenia, Azerbaijan and Georgia. The database currently contains 2,882 vegetation plots. The oldest plots originate from 1929, the newest from 2022, and their colle

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16

Skobel, Nadiia, Łukasz Kozub, Iwona Dembicz, et al. "Nordic-Baltic Grassland Vegetation Database (NBGVD) – current state and future prospects." Vegetation Classification and Survey 5 (May 23, 2024): 75–84. http://dx.doi.org/10.3897/vcs.119968.

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This Long Database Report describes the historical background and current contents of the Nordic-Baltic Grassland Vegetation Database (NBGVD) (GIVD-code EU-00-002). NBGVD is the EDGG-associated collaborative vegetation-plot database that collects vegetation-plot data of grasslands and other open habitats (except segetal and deep aquatic vegetation) from the Nordic-Baltic region excluding Germany, namely Belarus, Denmark, Estonia, Faroe Islands, Finland, Iceland, Latvia, Lithuania, Norway, N Poland, NW Russia, Svalbard and Jan Mayen, and Sweden. Target vegetation types are lowland grasslands an

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17

Janssen, John, Erik Houtepen, Proosdij André van, and Stephan Hennekens. "CACTUS – Vegetation database of the Dutch Caribbean Islands." Vegetation Classification and Survey 4 (May 2, 2023): 69–74. https://doi.org/10.3897/VCS.101114.

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The vegetation database CACTUS (registered in GIVD under SA-00-004) aims to bring together all plot-based relevés from the Dutch Caribbean Islands that are available from literature, unpublished resources, and recent field surveys. The database currently contains 2,701 vegetation descriptions. The database is used for vegetation classification, to investigate vegetation change over time, to assist in the planning of vegetation surveys, as a source for plant species distribution maps, and to inform nature conservation and policy. Taxonomic references: Van Proosdij (2012) for the Leeward Islands

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18

Novák, Pavel, Veronika Kalníková, Daniel Szokala, et al. "Transcaucasian Vegetation Database – a phytosociological database of the Southern Caucasus." Vegetation Classification and Survey 4 (October 16, 2023): 231–40. https://doi.org/10.3897/VCS.105521.

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The Caucasus is a hotspot of global biodiversity. However, even in the era of big data, this region remains underrepresented in public vegetation-plot databases. The Transcaucasian Vegetation Database (GIVD code AS-00-005) is a novel dataset which primarily aims to compile, store and share vegetation-plot records sampled by the Braun-Blanquet approach and originating from Transcaucasia (the Southern Caucasus), i.e. the countries of Armenia, Azerbaijan and Georgia. The database currently contains 2,882 vegetation plots. The oldest plots originate from 1929, the newest from 2022, and their colle

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19

Jiménez-Alfaro, Borja, and Xavier Font. "SIVIM Alpine – Database of high-mountain grasslands in the Iberian Peninsula." Vegetation Classification and Survey 1 (December 30, 2020): 219–20. http://dx.doi.org/10.3897/vcs/2020/62232.

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SIVIM Alpine (GIVD ID: EU-00-034) is a thematic database focused on vegetation plots from alpine grasslands of the Iberian Peninsula. The main aim of the database is to centralize historical and new vegetation plots of grassland-like communities above the treeline from Spanish mountains, the Pyrenees (including France and Andorra) and Serra da Estrela (Portugal). The database was registered in GIVD in December 2020, and it is currently available in EVA under semi-restricted regime. SIVIM Alpine includes both digitized relevés from the literature and unpublished data. Most of digitized relevés

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Jiménez-Alfaro, Borja, and Xavier Font. "SIVIM Alpine – Database of high-mountain grasslands in the Iberian Peninsula." Vegetation Classification and Survey 1, no. () (2020): 219–20. https://doi.org/10.3897/VCS/2020/62232.

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SIVIM Alpine (GIVD ID: EU-00-034) is a thematic database focused on vegetation plots from alpine grasslands of the Iberian Peninsula. The main aim of the database is to centralize historical and new vegetation plots of grassland-like communities above the treeline from Spanish mountains, the Pyrenees (including France and Andorra) and Serra da Estrela (Portugal). The database was registered in GIVD in December 2020, and it is currently available in EVA under semi-restricted regime. SIVIM Alpine includes both digitized relevés from the literature and unpublished data. Most of digitized relevés

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21

Golovanov, Yaroslav, and Larisa Abramova. "Database of anthropogenic vegetation of Urals and adjacent territories." Vegetation Classification and Survey 3 (August 11, 2022): 175–76. https://doi.org/10.3897/VCS.82824.

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The Database of anthropogenic vegetation of Urals and adjacent territories (GIVD ID 00-RU-008) includes 4,327 vegetation plots of anthropogenic vegetation from 3 regions of the Russian Federation (the Republic of Bashkortostan, Orenburg, Chelyabinsk regions) and 1 region of the Republic of Kazakhstan (Aktobe region). All relevés were made between 1984 and 2021 AD. 1865 vegetation plots are from different literature sources (28 sources), 2462 are unpublished relevés from the authors. 94% of the relevés are geo-referenced. The ecological conditions were assessed by the use of average Landolt ind

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Gonçalves, Francisco M. P., António V. Chisingui, José C. Luís, et al. "First vegetation-plot database of woody species from Huíla province, SW Angola." Vegetation Classification and Survey 2 (August 12, 2021): 109–16. http://dx.doi.org/10.3897/vcs/2021/68916.

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Angola is a country in south-central Africa, particularly rich in biodiversity. Despite the efforts recently made to document its biodiversity, there is a need for standardized sampling methods to document and compare the variety of ecosystems and plants occurring in the country. With this database report we aim to document the abundance and diversity of woody species in the woodlands of Huíla province. The database hosts the results of a standardised plot-based vegetation survey, consisting of 448 vegetation plots distributed throughout the 14 municipalities and Bicuar National Park. In total

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Gonçalves, Francisco M.P., António V. Chisingui, José C. Luís, et al. "First vegetation-plot database of woody species from Huíla province, SW Angola." Vegetation Classification and Survey 2, no. () (2021): 109–16. https://doi.org/10.3897/VCS/2021/68916.

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Angola is a country in south-central Africa, particularly rich in biodiversity. Despite the efforts recently made to document its biodiversity, there is a need for standardized sampling methods to document and compare the variety of ecosystems and plants occurring in the country. With this database report we aim to document the abundance and diversity of woody species in the woodlands of Huíla province. The database hosts the results of a standardised plot-based vegetation survey, consisting of 448 vegetation plots distributed throughout the 14 municipalities and Bicuar National Park. In total

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Peyre, Gwendolyn, Bianca O. Andrade, Alejandro Velazquez, and Melisa A. Giorgis. "Vegetation classification in the Neotropics – Novel insights from Latin America and the Caribbean." Vegetation Classification and Survey 5 (October 21, 2024): 219–23. http://dx.doi.org/10.3897/vcs.133613.

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Our editorial introduces a Special Collection of scientific articles on current vegetation research in the most biodiverse of all biogeographic realms, the Neotropics. It contains nine scientific contributions dedicated to vegetation data, description and classification. Four research papers provide new vegetation classifications of important Neotropical biomes, namely the Arid Chaco in Argentina, Mexican temperate forests, and Andean wetlands in the Argentine Puna and southern Peru. Furthermore, one study provides a novel bioclimatic-vegetation classification approach applied to Mexican veget

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Peyre, Gwendolyn, Bianca O. Andrade, Alejandro Velazquez, and Melisa A. Giorgis. "Vegetation classification in the Neotropics – Novel insights from Latin America and the Caribbean." Vegetation Classification and Survey 5 (October 21, 2024): 219–23. https://doi.org/10.3897/VCS.133613.

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Our editorial introduces a Special Collection of scientific articles on current vegetation research in the most biodiverse of all biogeographic realms, the Neotropics. It contains nine scientific contributions dedicated to vegetation data, description and classification. Four research papers provide new vegetation classifications of important Neotropical biomes, namely the Arid Chaco in Argentina, Mexican temperate forests, and Andean wetlands in the Argentine Puna and southern Peru. Furthermore, one study provides a novel bioclimatic-vegetation classification approach applied to Mexican veget

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26

Janssen, John, Erik Houtepen, André van Proosdij, and Stephan Hennekens. "CACTUS – Vegetation database of the Dutch Caribbean Islands." Vegetation Classification and Survey 4 (May 2, 2023): 69–74. http://dx.doi.org/10.3897/vcs.101114.

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Abstract:

The vegetation database CACTUS (registered in GIVD under SA-00-004) aims to bring together all plot-based relevés from the Dutch Caribbean Islands that are available from literature, unpublished resources, and recent field surveys. The database currently contains 2,701 vegetation descriptions. The database is used for vegetation classification, to investigate vegetation change over time, to assist in the planning of vegetation surveys, as a source for plant species distribution maps, and to inform nature conservation and policy. Taxonomic references: Van Proosdij (2012) for the Leeward Islands

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Alvarez, Miguel, Michael Curran, and Itambo Malombe. "SWEA-Dataveg: A vegetation database for sub-Saharan Africa." Vegetation Classification and Survey 2 (May 5, 2021): 59–63. http://dx.doi.org/10.3897/vcs/2021/64911.

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SWEA-Dataveg is a vegetation-plot database collecting observations mainly in sub-Saharan Africa but also open to the rest of the African continent. To date this database contains more than 5,500 plot observations provided by 47 sources (projects, monographs, and articles). While the database is stored in PostgreSQL (including the PostGIS extension), the R-package “vegtable” implements a suitable exchange format. In this article we assess the current content of SWEA-Database and introduce its history and future as a repository of data for syntaxonomic assessments and macroecological research.

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Alvarez, Miguel, Michael Curran, and Itambo Malombe. "SWEA-Dataveg: A vegetation database for sub-Saharan Africa." Vegetation Classification and Survey 2, no. () (2021): 59–63. https://doi.org/10.3897/VCS/2021/64911.

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SWEA-Dataveg is a vegetation-plot database collecting observations mainly in sub-Saharan Africa but also open to the rest of the African continent. To date this database contains more than 5,500 plot observations provided by 47 sources (projects, monographs, and articles). While the database is stored in PostgreSQL (including the PostGIS extension), the R-package "vegtable" implements a suitable exchange format. In this article we assess the current content of SWEA-Database and introduce its history and future as a repository of data for syntaxonomic assessments and macroecological research.

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Biurrun, Idoia, Itziar García-Mijangos, Juan Campos, Mercedes Herrera, and Javier Loidi. "Vegetation-Plot Database of the University of the Basque Country (BIOVEG)." Biodiversity & Ecology 4 (September 10, 2012): 328. http://dx.doi.org/10.7809/b-e.00121.

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Giorgis, Melisa A., Marcelo R. Cabido, Ana M. Cingolani, et al. "ArgVeg – Database of Central Argentina." Vegetation Classification and Survey 3 (December 7, 2022): 223–30. http://dx.doi.org/10.3897/vcs.94256.

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The ArgVeg is a repository of vegetation-plots data registered in the Global Index of Vegetation Databases (GIVD ID: SA-AR-002). This report presents its main characteristics, potential uses, and future perspectives. In September 2022, the database contained 1092 vegetation-plot records, including 1184 valid native and non-native vascular plants. The database covers the main vegetation types of nine vegetation units of the Chaco, Espinal and Pampean phytogeographic provinces in central Argentina. Those types include native forests, shrublands, grasslands, halophytic vegetation and non-native w

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Giorgis, Melisa A., Marcelo R. Cabido, Ana M. Cingolani, et al. "ArgVeg – Database of Central Argentina." Vegetation Classification and Survey 3 (December 7, 2022): 223–30. https://doi.org/10.3897/VCS.94256.

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The ArgVeg is a repository of vegetation-plots data registered in the Global Index of Vegetation Databases (GIVD ID: SA-AR-002). This report presents its main characteristics, potential uses, and future perspectives. In September 2022, the database contained 1092 vegetation-plot records, including 1184 valid native and non-native vascular plants. The database covers the main vegetation types of nine vegetation units of the Chaco, Espinal and Pampean phytogeographic provinces in central Argentina. Those types include native forests, shrublands, grasslands, halophytic vegetation and non-native w

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Golovanov, Yaroslav, and Larisa Abramova. "Database of anthropogenic vegetation of the Urals and adjacent territories." BIO Web of Conferences 38 (2021): 00037. http://dx.doi.org/10.1051/bioconf/20213800037.

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The main data on the geobotanical database – 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. The database includes more than 4,000 complete geobotanical relevés made between 1984 and 2020. The database contains the territories of 3 subjects of the Russian Federation (the Republic of Bashkortostan, Orenburg, Chelyabinsk regions) and 1 - the Republic of Kazakhstan (Aktobe region). For each relevés, a complete list of species with indication of abundance in points o

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Uogintas, Domas, Lukas Petrulaitis, Neringa Kitrytė, and Viltė Šimanskaitė. "KELVEG – Roadside Vegetation of Lithuania." Vegetation Classification and Survey 6 (April 25, 2025): 129–30. https://doi.org/10.3897/VCS.151991.

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KELVEG – Roadside Vegetation of Lithuania (GIVD EU-LT-002) is a database that documents the diversity of roadside vegetation, tracks and monitors changes of non-native species' impact on the roadsides, and adjacent habitats. The initiative was started in spring 2023. As of March 2025, 628 vegetation plots from randomly selected sites across the country have been included in the database. Vegetation plots were sampled along transects, starting at the edge of the roadside (road shoulder) and ending in an adjacent habitat. In each roadside part (road shoulder, first slope, second slope or flat pa

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Daly, Brenda. "Challenges in the Development and Curation of Species-plot Datasets in South Africa: The National Vegetation Database of phytosociological plots as a case study." Biodiversity Information Science and Standards 3 (August 8, 2019): e38675. https://doi.org/10.3897/biss.3.38675.

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The South African National Biodiversity Institute is the custodian of numerous national level botanical and zoological datasets that have been collated over several decades and is mandated to ensure that taxonomic and ecological data are made available to the public through responsible data sharing. This study describes the nature of, and presents/discusses relevant standards for, the case study of the National Vegetation Database; the process adopted in the development of a vegetation-plot database; and current data management practices being undertaken in relation to the various stages of re

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Agrillo*, Emiliano, Nicola Alessi, Marco Massimi, Francesco Spada, and Michele De Sanctis. "Nationwide Vegetation Plot Database – Sapienza University of Rome: state of the art, basic figures and future perspectives." Phytocoenologia 47, no. 2 (2017): 221–29. http://dx.doi.org/10.1127/phyto/2017/0139.

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Uogintas, Domas, Lukas Petrulaitis, Neringa Kitrytė, and Viltė Šimanskaitė. "KELVEG – Roadside Vegetation of Lithuania." Vegetation Classification and Survey 6 (April 25, 2025): 129–30. https://doi.org/10.3897/vcs.151991.

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KELVEG – Roadside Vegetation of Lithuania (GIVD EU-LT-002) is a database that documents the diversity of roadside vegetation, tracks and monitors changes of non-native species’ impact on the roadsides, and adjacent habitats. The initiative was started in spring 2023. As of March 2025, 628 vegetation plots from randomly selected sites across the country have been included in the database. Vegetation plots were sampled along transects, starting at the edge of the roadside (road shoulder) and ending in an adjacent habitat. In each roadside part (road shoulder, first slope, second slope or flat pa

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Alvarez, Miguel, and Federico Luebert. "The taxlist package: managing plant taxonomic lists in R." Biodiversity Data Journal 6 (May 2, 2018): e23635. https://doi.org/10.3897/BDJ.6.e23635.

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Taxonomic lists are crucial elements of vegetation-plot databases and provide the links between original entries, reference taxon views and different taxon concepts. We introduce the R package <i>taxlist</i> in the context of object-oriented modelling for taxonomic lists. This package provides a data structure based on species lists in Turboveg, which is a software broadly used for the storage of vegetation-plot databases and implements functions for importing and handling them prior to statistical analysis. We also present a schema for relational databases, compatible with <i>taxlist</i> obje

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Jansen, Florian, Idoia Biurrun, Jürgen Dengler, and Wolfgang Willner. "Vegetation classification goes open access." Vegetation Classification and Survey 1 (May 4, 2020): 1–6. http://dx.doi.org/10.3897/vcs/2020/53445.

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With this inaugural editorial, we introduce Vegetation Classification and Survey (VCS), the new gold open access (OA) journal of the International Association for Vegetation Science (IAVS). VCS is devoted to vegetation classification at any spatial and organisational scale and irrespective of the methodological approach. It welcomes equally case studies and broad-scale syntheses as well as conceptual and methodological papers. Two Permanent Collections deal with ecoinformatics (including the standardised Database Reports published in collaboration with GIVD, the Global Index of Vegetation-Plot

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Jansen, Florian, Idoia Biurrun, Jürgen Dengler, and Wolfgang Willner. "Vegetation classification goes open access." Vegetation Classification and Survey 1, no. () (2020): 1–6. https://doi.org/10.3897/VCS/2020/53445.

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With this inaugural editorial, we introduce Vegetation Classification and Survey (VCS), the new gold open access (OA) journal of the International Association for Vegetation Science (IAVS). VCS is devoted to vegetation classification at any spatial and organisational scale and irrespective of the methodological approach. It welcomes equally case studies and broad-scale syntheses as well as conceptual and methodological papers. Two Permanent Collections deal with ecoinformatics (including the standardised Database Reports published in collaboration with GIVD, the Global Index of Vegetation-Plot

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Ramzi, Soghra, Jalil Noroozi, Hamid Gholizadeh, et al. "IranVeg – the Vegetation Database of Iran: current status and the way forward." Vegetation Classification and Survey 5 (December 19, 2024): 237–56. https://doi.org/10.3897/vcs.114081.

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Iran, situated in Southwest Asia, showcases a diverse landscape, including three phytogeographical regions and two global biodiversity hotspots. This diversity is attributed to its intricate geology, mountainous terrain, wide altitudinal range, and heterogeneous climate, fostering a rich flora characterized by a significant proportion of endemism. We present an updated version of the Vegetation Database of Iran (IranVeg) (GIVD ID AS-IR-001), comprising 13,411 plots spanning six major habitat types. These encompass deciduous forests (18.0%), woodlands and shrublands (5.6%), steppes and other gr

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Ramzi, Soghra, Jalil Noroozi, Hamid Gholizadeh, et al. "IranVeg – the Vegetation Database of Iran: current status and the way forward." Vegetation Classification and Survey 5 (December 19, 2024): 237–56. https://doi.org/10.3897/VCS.114081.

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Iran, situated in Southwest Asia, showcases a diverse landscape, including three phytogeographical regions and two global biodiversity hotspots. This diversity is attributed to its intricate geology, mountainous terrain, wide altitudinal range, and heterogeneous climate, fostering a rich flora characterized by a significant proportion of endemism. We present an updated version of the Vegetation Database of Iran (IranVeg) (GIVD ID AS-IR-001), comprising 13,411 plots spanning six major habitat types. These encompass deciduous forests (18.0%), woodlands and shrublands (5.6%), steppes and other gr

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Vassilev, Kiril, Hristo Pedashenko, Alexandra Alexandrova, et al. "Balkan Vegetation Database (BVD) – updated information and current status." Vegetation Classification and Survey 1 (December 21, 2020): 151–53. http://dx.doi.org/10.3897/vcs/2020/61348.

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The Balkan Vegetation Database (BVD; GIVD ID: EU-00-019) is a regional database, which was established in 2014. It comprises phytosociological relevés covering various vegetation types from nine countries of the Balkan Peninsula (Albania – 153 relevés, Bosnia and Herzegovina – 1715, Bulgaria – 12,282, Greece – 465, Croatia – 69, Kosovo – 493, Montenegro – 440, North Macedonia – 13 and Serbia – 2677). Currently, it contains 18,306 relevés (compared to 9.580 in 2016), and most of them (82.8%) are geo-referenced. The database includes both digitized relevés from the literature (65.6%) and unpubli

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Oliveira, Jaime, José Antonio Molina, and Gonzalo Navarro. "BOVEDA, the Bolivian Vegetation Ecology Database: first stage, the Chacoan forests." Vegetation Classification and Survey 3 (October 24, 2022): 191–97. http://dx.doi.org/10.3897/vcs.84418.

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Bolivia is a country exceptionally rich in biodiversity and home to about 20,000 vascular plant species and 15 plant formations. Therefore, it is particularly important to document the biodiversity of this territory. The aim of the Bolivian Vegetation Ecology Database (BOVEDA; GIVD ID SA-BO-005) is to record floristic and ecological data of Bolivian vegetation. In the first stage, the database hosts 320 relevés from one of the most unique biogeographical units in the country, the Chaco. In total, 633 species belonging to 114 families have been recorded. Data on vegetation structure, soil, floo

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Oliveira, Jaime, José Antonio Molina, and Gonzalo Navarro. "BOVEDA, the Bolivian Vegetation Ecology Database: first stage, the Chacoan forests." Vegetation Classification and Survey 3 (October 24, 2022): 191–97. https://doi.org/10.3897/VCS.84418.

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Bolivia is a country exceptionally rich in biodiversity and home to about 20,000 vascular plant species and 15 plant formations. Therefore, it is particularly important to document the biodiversity of this territory. The aim of the Bolivian Vegetation Ecology Database (BOVEDA; GIVD ID SA-BO-005) is to record floristic and ecological data of Bolivian vegetation. In the first stage, the database hosts 320 relevés from one of the most unique biogeographical units in the country, the Chaco. In total, 633 species belonging to 114 families have been recorded. Data on vegetation structure, soil, floo

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Peyre, Gwendolyn, Daniel Montesinos, Daniela Giraldo, et al. "VegAndes: the vegetation database for the Latin American highlands." Vegetation Classification and Survey 3 (December 30, 2022): 287–96. https://doi.org/10.3897/VCS.95750.

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In the era of Big Data, Latin American countries and biomes remain underrepresented. To remediate this issue, promoting repositories for biodiversity data focused on Latin America is a main priority. VegAndes -Dpt the vegetation database for the Latin American highlands (GIVD: SA-00-005), is a novel dataset for georeferenced and standardized information on vascular pants in the region. The database compiles 5,340 vegetation plots sampled above the montane treeline and below the permanent snowline in 11 Latin American countries and spanning over seven decades. VegAndes currently encompasses 5,8

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Seynave, Ingrid, Jean-Claude Gégout, Jean-Christophe Hervé, et al. "Picea abiessite index prediction by environmental factors and understorey vegetation: a two-scale approach based on survey databases." Canadian Journal of Forest Research 35, no. 7 (2005): 1669–78. http://dx.doi.org/10.1139/x05-088.

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Relationships between site index, environmental variables, and understorey vegetation were examined for Norway spruce (Picea abies (L.) Karst.) in the eastern part of France. The study area concerns all the native range of Norway spruce in France and the northeastern plains. The analysis is based on 2087 plots from the French National Forest Inventory database. The data measured on each plot cover topography, soil, geology, and vegetation. Additional environmental variables were estimated using two methods: climatic data estimated from a climatic model developed by Météo-France (AURELHY), and

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Acosta, Alicia Teresa Rosario, Biase Letizia Di, Simona Sarmati, et al. "ReSurveyDunes — a data resource of resurveyed coastal dune vegetation plots in Italy." Vegetation Ecology and Diversity 62 (February 19, 2025): 1–6. https://doi.org/10.3897/ved.139539.

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We present ReSurveyDunes — the first database of Italian coastal dune vegetation plots, developed through a collaborative network of Italian vegetation scientists. This paper describes the scope of the initiative, provides an overview of the available data, and highlights its key features, research applications, and future potential. ReSurveyDunes currently comprises 972 vegetation plots distributed across 11 Italian regions (Abruzzo, Basilicata, Calabria, Campania, Emilia-Romagna, Lazio, Molise, Sardinia, Sicily, Tuscany, and Veneto). The original plots were surveyed between 1974 and 2009, wi

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Schmidt, Marco, and Georg Zizka. "Plant species associated with different levels of species richness and of vegetation cover as indicators of desertification in Burkina Faso (West Africa)." Flora et Vegetatio Sudano-Sambesica 17 (December 16, 2016): 3–8. http://dx.doi.org/10.21248/fvss.17.22.

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Desertification is a major problem in Sudano-sahelian West Africa, including the loss of biodiversity and vegetation cover. The loss of related ecosystem services is having a severe impact on human wellbeing. To facilitate assessments of these aspects of desertification, we decided to find plant species suitable as indicators. Based on a large database of vegetation plot data for Burkina Faso, we identified species associated with high or low levels of species richness and vegetation cover by calculating average values of these measures from vegetation plots on which they occur. To account for

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Nowak, Arkadiusz, Idoia Biurrun, Monika Janišová, and Jürgen Dengler. "Classification of grasslands and other open vegetation types in the Palaearctic – Introduction to the Special Collection." Vegetation Classification and Survey 3 (July 22, 2022): 149–59. https://doi.org/10.3897/VCS.87068.

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With this editorial, we introduce the Special Collection "Classification of grasslands and other open vegetation types in the Palaearctic". In searching the Web of Science for classification papers on Palaearctic grasslands, we found 207 studies from 1972–2021, including 106 typical classification works. These studies originated mainly from Europe, with only few from Asia and only one from Northern Africa. While Europe in the 20<sup>th</sup> century already had a strong tradition in regional classification studies, the launch of a common plot database (European Vegetation Archive, EVA) and a c

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Alvarez, Miguel, and Federico Luebert. "Chilean vegetation in the context of the Braun-Blanquet approach and a comparison with EcoVeg formations." Vegetation Classification and Survey 3 (March 7, 2022): 45–52. http://dx.doi.org/10.3897/vcs.72194.

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Aims: The Braun-Blanquet approach has been widely implemented to generate classification schemes at the country level and Chile is not an exception. In spite of numerous studies, a revised system for the whole country is still missing and most of the current surveys are restricted to a small set of vegetation groups or specific study sites. To fill this gap, we established a vegetation-plot database and updated the classification into a single syntaxonomic scheme. We also performed a comparison of this scheme with the formation system following the EcoVeg approach. Study area: Continental Chil

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