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Academic literature on the topic 'Vegetation-plot database'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Vegetation-plot database"

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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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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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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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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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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Book chapters on the topic "Vegetation-plot database"

1

Font, Xavier, Laura Balcells, and Berta Mora. "The Plot-Based Databases of the Iberian Vegetation." In The Vegetation of the Iberian Peninsula. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54867-8_13.

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Scott, Andrew C. "Fire and the Coming of the Modern World." In Burning Planet. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198734840.003.0009.

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What kind of world dawned after the K/P boundary? We know from studies across localities in the USA that there is evidence of frequent wildfires continuing into the earliest Paleogene. But what happened to the atmospheric oxygen level after recovery from the K/P mass extinction—did it remain above modern levels? Were we still in a high-fire world? If there were fires, what is the evidence in the charcoal record, and do we know anything about the vegetation that was burning? When the charcoal in the coal database was originally compiled, one of the important issues was how we recorded and repre

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Reports on the topic "Vegetation-plot database"

1

Ley, Matt, Tom Baldvins, Hannah Pilkington, David Jones, and Kelly Anderson. Vegetation classification and mapping project: Big Thicket National Preserve. National Park Service, 2024. http://dx.doi.org/10.36967/2299254.

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The Big Thicket National Preserve (BITH) vegetation inventory project classified and mapped vegetation within the administrative boundary and estimated thematic map accuracy quantitatively. National Park Service (NPS) Vegetation Mapping Inventory Program provided technical guidance. The overall process included initial planning and scoping, imagery procurement, vegetation classification field data collection, data analysis, imagery interpretation/classification, accuracy assessment (AA), and report writing and database development. Initial planning and scoping meetings took place during May, 2

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Ley, Matt, Tom Baldvins, David Jones, Hanna Pilkington, and Kelly Anderson. Vegetation classification and mapping: Gulf Islands National Seashore. National Park Service, 2023. http://dx.doi.org/10.36967/2299028.

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The Gulf Islands National Seashore (GUIS) vegetation inventory project classified and mapped vegetation on park-owned lands within the administrative boundary and estimated thematic map accuracy quantitatively. The project began in June 2016. National Park Service (NPS) Vegetation Mapping Inventory Program provided technical guidance. The overall process included initial planning and scoping, imagery procurement, field data collection, data analysis, imagery interpretation/classification, accuracy assessment (AA), and report writing and database development. Initial planning and scoping meetin

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Zimmerman, Ephraim, and Staphanie Perles. Vegetation monitoring in relation to white-tailed deer browsing in First State National Historical Park: 2021 summary report. National Park Service, 2023. http://dx.doi.org/10.36967/2299655.

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Baseline information on canopy regeneration and plant community composition is needed in order to better understand white-tailed deer browsing impacts at First State National Historical Park (FRST). In 2021, the Pennsylvania Natural Heritage Program (PNHP) established 20 permanent vegetation monitoring plots following methods developed by the NPS Eastern Rivers and Mountains Network (ERMN) to assess and monitor trends in vegetation (Perles et al. 2014b; Perles et al. 2017). These protocols provided an efficient method of assessing the current status of native and non-native vegetation and deer

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