Academic literature on the topic 'Braun-Blanquet scale'

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Journal articles on the topic "Braun-Blanquet scale"

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Dengler, Jürgen, and Iwona Dembicz. "Should we estimate plant cover in percent or on ordinal scales?" Vegetation Classification and Survey 4 (July 7, 2023): 131–38. http://dx.doi.org/10.3897/vcs.98379.

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Question: We explored the error resulting from different methods for recording the cover of plants in vegetation plots, specifically the direct estimation of percent cover vs. the use of ordinal cover scales (7-step Braun-Blanquet and 5-step Hult-Sernander-Du Rietz). Methods: We simulated 121 plant species of different cover, sampled with 13 different levels of estimation precision. Estimation precision was either based on a constant coefficient of variation (0.1–1.0) across all cover values or on empirical data from Hatton et al. (1986, Journal of Range Management 39: 91–92) (× 0.5, × 1.0, ×
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Dengler, Jürgen, and Iwona Dembicz. "Should we estimate plant cover in percent or on ordinal scales?" Vegetation Classification and Survey 4 (July 7, 2023): 131–38. https://doi.org/10.3897/VCS.98379.

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Question: We explored the error resulting from different methods for recording the cover of plants in vegetation plots, specifically the direct estimation of percent cover vs. the use of ordinal cover scales (7-step Braun-Blanquet and 5-step Hult-Sernander-Du Rietz). Methods: We simulated 121 plant species of different cover, sampled with 13 different levels of estimation precision. Estimation precision was either based on a constant coefficient of variation (0.1–1.0) across all cover values or on empirical data from Hatton et al. (1986, Journal of Range Management 39: 91–92) (× 0.5, × 1.0, ×
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Chmura, Damian, and Anna Salachna. "The Errors in Visual Estimation of Plants Cover in the Context of Education of Phytosociology." Chemistry-Didactics-Ecology-Metrology 21, no. 1-2 (2016): 75–82. http://dx.doi.org/10.1515/cdem-2016-0006.

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AbstractIn vegetation science including phytosociology, visual estimates of plant cover and point method belong to the common field method to record species composition and their abundance. Two methods were compared: Braun-Blanquet scale and point method using Levy bridge. A group of students performed measurements in five plots belonged to an oak-hornbeam forest Tilio-Carpinetum. It was revealed that there is a very high discrepancy in a observed number of species. Total mean numbers obtained are 13.4 and 31.2 for point method and Braun-Blanquet method respectively. However, there is the sign
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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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Dembicz, Iwona, and Jürgen Dengler. "Should we estimate plant cover in percent or on ordinal scales? II – Diversity indices." Vegetation Classification and Survey 6 (May 19, 2025): 133–40. https://doi.org/10.3897/VCS.144252.

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Question: We asked whether ordinal cover scales cause biases in biodiversity indices derived from vegetation plots and, if so, whether a different back-translation of ordinal categories could improve the situation. Methods: We took three empirical vegetation-plot datasets from different regions and habitat types with species cover estimated in percent. We applied three ordinal cover scales (13-step Londo, 7-step Braun-Blanquet and 5-step Hult-Sernander-Du Rietz) and back-transformed the resulting categories to percent (mid-point of the respective cover class). For each plot, we then calculated
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Brown, Leslie R., Itumeleng P. Magagula, and Alan S. Barrett. "A vegetation classification and description of Telperion Nature Reserve, Mpumalanga, South Africa." Vegetation Classification and Survey 3 (November 3, 2022): 199–219. http://dx.doi.org/10.3897/vcs.85209.

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Aims: This study identified, classified and mapped the different plant communities found on the Telperion Nature Reserve. Study area: Telperion Nature Reserve, Mpumulanga, South Africa. Methods: Using a 1:10,000 aerial photograph, Telperion was delineated into homogenous physiognomic-physiographic units. 294 sample plots (100 m2) were placed in a randomly stratified manner within identified homogenous units. Plant species present in sample plots were recorded and allocated a modified Braun-Blanquet cover abundance scale value. Sample plot data were captured into TURBOVEG and exported for editi
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Brown, Leslie R., Itumeleng P. Magagula, and Alan S. Barrett. "A vegetation classification and description of Telperion Nature Reserve, Mpumalanga, South Africa." Vegetation Classification and Survey 3 (November 3, 2022): 199–219. https://doi.org/10.3897/VCS.85209.

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Aims: This study identified, classified and mapped the different plant communities found on the Telperion Nature Reserve. Study area: Telperion Nature Reserve, Mpumulanga, South Africa. Methods: Using a 1:10,000 aerial photograph, Telperion was delineated into homogenous physiognomic-physiographic units. 294 sample plots (100 m<sup>2</sup>) were placed in a randomly stratified manner within identified homogenous units. Plant species present in sample plots were recorded and allocated a modified Braun-Blanquet cover abundance scale value. Sample plot data were captured into TURBOVEG and exporte
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Shovkun, Mikhail, Natalya Ivanova, Larisa Khanina, Michael Romanov, and Vasily Demidov. "Current vegetation data from the Prioksko-Terrasnyi Biosphere Reserve." Biodiversity Data Journal 9 (August 25, 2021): e71266. https://doi.org/10.3897/BDJ.9.e71266.

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Here we present the sampling event dataset that contributes to the knowledge of current vegetation of the Prioksko-Terrasnyi Biosphere Reserve (part of the UNESCO World Wide Network of Biosphere Reserves), Moscow Region, Russia. The Reserve is situated on the terraces of the Oka river in the zone of mixed coniferous forests.The dataset provides 269 relevés (9 174 associated occurrences) collected in 2019-2020. It contains representative information on plant communities in localities with assigned GPS coordinates sampled using the standard relevé method with Braun-Blanquet cover-abundance scale
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Holubec, V. "Monitoring of selected threatened species in Bohemia." Czech Journal of Genetics and Plant Breeding 46, Special Issue (2010): S21—S26. http://dx.doi.org/10.17221/694-cjgpb.

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The monitoring was based on 6 localities selected from within different regions of the Czech Republic. The vegetation was monitored during 2005 to 2008. Plant checklists have been made for each locality. Permanent plots of 9 m&lt;SUP&gt;2&lt;/SUP&gt; in size have been marked and the phytosociological relevés have been recorded. The standard Braun-Blanquet scale of abundance/dominance was used. Biological diversity was evaluated using the Shannon, Simpson, and Evennes indexes. While some localities were stable and no threat was found (Radobýl), other localities were (to an extent) disturbed (Gr
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Kenar, Nihal, Fatoş Şekerciler, and Süleyman Çoban. "The phytosociology, ecology, and plant diversity of new plant communities in Central Anatolia (Turkey)." Hacquetia 19, no. 1 (2020): 1–22. http://dx.doi.org/10.2478/hacq-2019-0014.

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AbstractThe Central Anatolian vegetation has diverse site conditions and small-scale plant diversity. For this reason, identification of plant communities is important for understanding their ecology and nature conservation. This study aims to contribute the syntaxonomical classification of the Central Anatolian vegetation. The study area is situated among Güzelyurt, Narköy, and Bozköy (Niğde) in the east of Aksaray province of Central Anatolia in Turkey. The vegetation data were collected using the phytosociological method of Braun-Blanquet and classified using TWINSPAN. The ecological charac
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Dissertations / Theses on the topic "Braun-Blanquet scale"

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Pretorius, Mathilde Luïse. "A vegetation classification and description of five wetland sysems and their respective zones on the Maputuland Coastal Plain." Diss., 2013. http://hdl.handle.net/10500/9470.

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The Maputaland Coastal Plain in Kwa Zulu-Natal is covered by aeolian sands . According to the national wetland delineation manual delineating wetlands in this area is complex due to problematic wetland soils. The aim of this study was to classify and describe the vegetation of the different zones of the wetland systems to determine the main drivers of the plant communities. The understanding of these complex ecosystems could assist in wetland delineation. Twenty wetlands from five wetland systems were surveyed. The vegetation zones of each wetland were sampled and basic environmental dat
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Pretorius, Mathilde Luïse. "A vegetation classification and description of five wetland systems and their respective zones on the Maputaland Coastal Plain." Diss., 2012. http://hdl.handle.net/10500/9470.

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The Maputaland Coastal Plain in Kwa Zulu-Natal is covered by aeolian sands . According to the national wetland delineation manual delineating wetlands in this area is complex due to problematic wetland soils. The aim of this study was to classify and describe the vegetation of the different zones of the wetland systems to determine the main drivers of the plant communities. The understanding of these complex ecosystems could assist in wetland delineation. Twenty wetlands from five wetland systems were surveyed. The vegetation zones of each wetland were sampled and basic environmental dat
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Conference papers on the topic "Braun-Blanquet scale"

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Ermakov, N. B., I. A. Pestunov, V. V. Korzhenevskiy, E. V. Ermakova, S. A. Rylov, and N. A. Trusheva. "Study of the diversity and mapping of xerophytic vegetation of the southeastern coast of Crimea peninsula using remote sensing data." In Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021. Crossref, 2021. http://dx.doi.org/10.25743/sdm.2021.54.38.052.

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The study of diversity and ecological-phytocenotic mapping of the vegetation cover was carried out at the key area located in the eastern part of the Echki-Dag mountain range in the territory of the Lisya Bay Reserve (Eastern Crimea). A generalization of the classification and ecological patterns of vegetation was carried out to create a legend for a large-scale ecological-phytocenotic cartographic model (at the scale of 1:10000). The ecological-geomorphological series and combinations of xerophytic and mesoxerophytic plant communities indicating erosion-denudation processes on different subst
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