Vegetation plots collected in dry grasslands throughout Bulgaria and Romanian Dobrudzha

Sampling event Observation
最新バージョン Masaryk University, Department of Botany and Zoology により出版 5月 1, 2025 Masaryk University, Department of Botany and Zoology
公開日:
2025年5月1日
ライセンス:
CC-BY 4.0

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード：

DwC ファイルとしてのデータ ダウンロード 390 レコード English で (333 KB) - 更新頻度: as needed
EML ファイルとしてのメタデータ ダウンロード English で (62 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (25 KB)

説明

This dataset containts vegetation plots that were collected specifically for the purpose of the PhD thesis of Salza Palpurina defended at Masaryk University in 2017 (Palpurina, 2017). Together with colleagues from the Vegetation Science Group at Masaryk University and from Sofia University, we sampled an initial dataset of 181 vegetation plots in dry grasslands across Bulgaria and Dobrudzha in the years 2010–2012. Visiting time was during the peak of growing season for dry grasslands in this area, i.e. end of May till beginning of July. We used a protocol for soil and vegetation sampling that matched the protocol employed for field expeditions by Vegetation Science Group at Masaryk University (see the section on Sampling methods). A map and a detailed description of the study area are provided in Palpurina et al. (2015). The dataset with full species composition is stored in the Balkan Dry Grasslands Database, which is registered in the Global Index of Vegetation-Plot Databases (http://www.givd.info; Dengler et al., 2011) under the code EU-00-013. However, the current dataset is the most up to date in terms of species composition as it also contains updates as a result of revised specimens linked to occurrences from respective vegetation plots.

The PhD thesis was defended at Masaryk University in October 2017 and consisted of several papers which covered only part of the collected vegetation plots collected and analyzed the results for only one of the sampled taxonomic group - vascular plants.

データ レコード

この sampling event リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、390 レコードが含まれています。

拡張データ テーブルは3 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。

Event (コア)
390
Occurrence 
15669
HumboldtEcologicalInventory 
390
Releve 
181

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

Palpurina S (2025). Vegetation plots collected in dry grasslands throughout Bulgaria and Romanian Dobrudzha. Version 1.12. Masaryk University, Department of Botany and Zoology. Samplingevent dataset. https://cloud.gbif.org/eca/resource?r=dry_grasslands_palpurina_phdthesis&v=1.12

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Masaryk University, Department of Botany and Zoology。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: c670c564-8366-4007-8d91-6f7fb6c31c2fが割り当てられています。   BioCASE によって承認されたデータ パブリッシャーとして GBIF に登録されているMasaryk University, Department of Botany and Zoology が、このリソースをパブリッシュしました。

キーワード

Samplingevent; Observation

連絡先

Salza Palpurina
  • メタデータ提供者 ●
  • 最初のデータ採集者 ●
  • 連絡先
  • Senior Assistant
National Museum of Natural History, Sofia
  • 1 Tsar Osvoboditel blvd.
1000 Sofia
BG
Milan Chytrý
  • レビューア ●
  • 研究代表者 ●
  • 連絡先
  • Head of the Vegetation Science Group
Masaryk University, Department of Botany and Zoology
  • Kotlářská 2
61137 Brno
CZ

地理的範囲

Bulgaria and SE Romania (Dobrogea)

座標（緯度経度） 南 西 [41.396, 22.59], 北 東 [45.145, 29.076]

生物分類学的範囲

Vascular plants, bryophytes and lichenized fungi

Kingdom Fungi, Plantae
Phylum Bryophyta, Marchantiophyta, Tracheophyta, Ascomycota
Class Bryopsida, Polypodiopsida, Jungermanniopsida, Marchantiopsida, Liliopsida, Pinopsida, Lecanoromycetes, Magnoliopsida, Polytrichopsida
Order Dipsacales, Geraniales, Polytrichales, Asterales, Ericales, Solanales, Poales, Malpighiales, Boraginales, Lamiales, Caryophyllales, Dicranales, Zygophyllales, Rosales, Brassicales, Sapindales, Gentianales, Pinales, Grimmiales, Santalales, Teloschistales, Hypnales, Jungermanniales, Fagales, Scouleriales, Ranunculales, Asparagales, Bryales, Polypodiales, Lecanorales, Malvales, Pottiales, Peltigerales, Liliales, Marchantiales, Fabales, Saxifragales, Cornales, Baeomycetales, Apiales
Family Hypericaceae, Lamiaceae, Malvaceae, Melanthiaceae, Scrophulariaceae, Plantaginaceae, Liliaceae, Thuidiaceae, Ranunculaceae, Saxifragaceae, Ditrichaceae, Paeoniaceae, Rutaceae, Amaryllidaceae, Teloschistaceae, Apiaceae, Oleaceae, Cupressaceae, Betulaceae, Caryophyllaceae, Papaveraceae, Ulmaceae, Brachytheciaceae, Polygonaceae, Plumbaginaceae, Geraniaceae, Brassicaceae, Cistaceae, Fabaceae, Violaceae, Orchidaceae, Bryaceae, Pylaisiaceae, Heliotropiaceae, Zygophyllaceae, Pottiaceae, Verbenaceae, Psoraceae, Ricciaceae, Convolvulaceae, Aspleniaceae, Amaranthaceae, Ramalinaceae, Collemataceae, Polygalaceae, Gentianaceae, Cladoniaceae, Campanulaceae, Thymelaeaceae, Cornaceae, Rhamnaceae, Grimmiaceae, Rosaceae, Amblystegiaceae, Cyperaceae, Asparagaceae, Pinaceae, Iridaceae, Colchicaceae, Dicranellaceae, Trapeliaceae, Poaceae, Rubiaceae, Hypnaceae, Polytrichaceae, Juncaceae, Flexitrichaceae, Crassulaceae, Parmeliaceae, Fagaceae, Caprifoliaceae, Boraginaceae, Cephaloziellaceae, Resedaceae, Comandraceae, Asphodelaceae, Fissidentaceae, Primulaceae, Apocynaceae, Mniaceae, Linaceae, Asteraceae, Orobanchaceae, Euphorbiaceae, Anacardiaceae, Thesiaceae

時間的範囲

開始日 / 終了日 2010-06-05 / 2012-07-03

収集方法

Site selection: Study sites were selected based on the literature and local expert suggestions with the aim of covering all major types of dry grasslands (petrophytic steppes, loess steppes, and semi-dry grasslands) in Bulgaria. Dry grasslands were selected based on the presence of species characteristic of the phytosociological class Festuco-Brometea. However, some pseudo-steppes from the class Stipo-Trachynietea distachyae were also sampled (n =9) and are here provided but were not analysed as part of the PhD thesis, see Palpurina et al. (2015). Abandoned, recently strongly disturbed, or intensively grazed grasslands were avoided. However, as most of the loess steppes visited during the fieldwork campaign were burnt in the previous year, we also sampled some post-fire sites with loess steppe. At each dry grassland site, 10×10 m^2 vegetation plots were sampled in the centre of physiognomically uniform vegetation stands with homogeneous abiotic conditions. If a site was considerably topographically or edaphically variable, and this was reflected in the grassland structure and composition, we sampled more than one vegetation plot per site. This resulted in a total of 181 vegetation plots. In order to sample dry grasslands at the peak of their growing season, field work was carried out each year from the end of May till the end of June, and in the first week of July at higher altitudes. Vegetation sampling: All vascular plants rooted in this 100-m2  plot, together with bryophytes and lichenizd fungi, were recorded. The relative abundance of each species was visually estimated as the relative cover (in %) of the vertical projection of its canopy in the plot. From 2011, a list of vascular plant species was produced also for a 1 × 1 m2  plot, nested within one of the corners of the larger 100-m^2 plot (the corner where GPS coordinates were taken). In 2012, the 1-m2  was nested in further in a 4 m × 4 m plot, for which a list of vascular plants was also produced.

Total vegetation cover and that of separate vegation layers (shrub, herb, cryptogam), cover of bare soil, rocks/stone and litter was also visually estimated as percentage cover for the 100-m2  -plots. In rare cases, when drastically different from the% cover of thr 100-m2  -plot, the herb laeyer cover was estimated also for the 1-m2 -nested plot.

Environmental variables: Environmental variables were collected at the 100-m2  plot scale. Geographical coordinates and altitude were measured with a GPS device in one of its corners using the average coordinate function. Slope(°) and aspect (°) were measured by a clinometer and compass. The cover of bare rock and gravel was estimated visually in percentages. Soil depth was measured within each plot at 10 systematically placed points with a 30-cm metal rod. The mean soil depth was considered as a surrogate for moisture availability, and the coefficient of variation (CV) of soil depth was calculated as a measure of soil depth heterogeneity. In the analyses, soils deeper than 30 cm were considered as 30 cm deep. Soil samples were taken from each plot at five points (in the centre and the four corners) at a depth of 3e10 cm, and subsequently air-dried. Soil pH was measured separately for each soil sample after an 8-10 h extraction in distilled water (2:5 soil:water weight ratio). The mean value of soil pH per plot and its coefficient of variation (CV) were used for analyses, the latter being considered as a measure of soil pH heterogeneity. Nutrients in soil were measured in a mixture of the five soil samples following standard protocols. Total nitrogen (Ntot) was determined using the Kjehldahl method. Plantavailable phosphorus (P), potassium (K), and calcium (Ca) were extracted by the Mehlich III method. The P content was determined by spectrophotometer (Spekol 210, Carl Zeiss, Jena, Germany), andK and Ca contents by atomic absorption spectrophotometer (AAS 933 Plus, GBC Scientific Equipment, Melbourne, Australia). Total organic carbon (Corg) was determined by loss on ignition at 550°C for 16 h. The C/N ratio was calculated as Corg/Ntot. Management of the dry grasslands was assessed in the field, and assigned to the following four categories: grazed (parts of plants missing, animal dung present, livestock present at the site or nearby), mown (no or little litter accumulated), burned (charcoal present, no litter), and abandoned (litter accumulated). Biomass was clipped at 0–1 cm above the ground in a single plot of 0.5 m × 0.5 m, located in a place that was representative of the mean standing biomass of the larger vegetation plot. Biomass was air‐dried under field conditions, then oven‐dried prior to weighing for 24 hr at 60–70 °C, and its weight was recalculated to g/m^2. Vegetation samples were then homogenized by milling to a fine powder, and a subsample was taken to measure the concentrations of plant N, P, and K at the community level (henceforth, [N], [P], and [K]). For the samples from the other regions, [P] was determined by spectrophotometry (spectrophotometer Spekol 210, Carl Zeiss, Jena, Germany); [K] was determined by atomic absorption spectrophotometry (AAS 933 Plus, GBC Scientific Equipment, Melbourne, Australia) in Mehlich III extracts (strong acid extraction with ion complex); and [N] was determined by the Kjeldahl method, that is, by digestion with sulphuric acid and hydrogen peroxide, distillation, and titration (Zbíral, 2005).

Study Extent Sites with dry grasslands from the lowland up to mountaineous parts in Bulgaria and SE Romania (Dobrogea). SW part of Bulgaria is underrepresented.
Quality Control Specimens that were not possible to identify with certainty in the field were sampled and subsequently identified in the laboratory. Vascular plants were determined by collectors in the field, or later in the lab by Salza Palpurina using Delipavlov et al. (2003), Flora of Bulgaria, or Flora Europeae or specialized key for some genera. e.g. Ančev & Krendl (2011). Individual genera or families were revised as follows (years of revision are in brackets): Apiaceae - Milan Marek (), Achillea - Jiří Danihelka (2012), Alyssum - Stanislav Španiel (2020), Astragalus - Vít Grulich, Centaurea - Svetlana Bancheva (2012), Cerastium - Jiří Danihelka (2020), Festuca - Petr Šmarda (2011-2012), Hieracium - Günter Gottschlich; Fabacaee, Poaceae, Caryophyllaceae- Jiří Danihelka, Thymus - Jaroslav Čáp (2012); Valerianella - Zdenek Kaplan (2014). Bryophytes were determined by Salza Palpurina in 2011 and 2012 and verified at the same time by Svatava Kubešová, RNDr. All collected lichenized fungi were determined in 2011 and 2012 by Alice Dingova (Slovak Academy of Sciences) and partially verified by Dimitar Stoykov from IBER-BAS in the year of XX. Specimens of vascular plants were deposited in BRNU, lichenised were submitted in 2012 to the curator of SOMF - Dimitar Stoykov, and bryophyte samples were given to Anna Ganeva - curator of bryophyte collection of the SOM herbarium at IBER-BAS. Nomenclature for vascular plants follows Delipavlov (2003), for lichenized fungi - Bielczyk et al. (2004), and for bryophytes - ... Literature: Ančev, M. & Krendl, F. (2011) Galium sect . Leiogalium ( Rubiaceae ) in the Bulgarian flora. 17, 291–314. Bielczyk, U., Lackovičová, A., Farkas, E.E., Lökös, L., Liška, J., Breuss, O., Kondratyuk, S.Y., 2004. Checklist of lichens of the Western Carpathians, W. Szafer Institute of Botany, Kraków. Jordanoff, D. (1963) Flora of NR Bulgaria I-VII,.BAS, Sofia. Velchev, V. (1982) Flora of NR Bulgaria VII-IX, BAS, Sofia. Делипавлов, Д., Чешмеджиев, И., Попова, М., Терзийски, Д. & Ковачев, И. (2003) Определител на растенията в България, Академ. изд-во на Аграрния ун-т, Пловдив.[Delipavlov. D, et al. 2003, in Bulgarian]

Method step description:

  1. Assembling the original dataset in Turboveg: Vegetation plots were entered in Turboveg 2.0 separately for each plot size. The covers scale for plots of size 1 m^2 and 16 m^2 were set to presence only. Environmental variables were first entered in excel sheets and then imported into Turboveg.

コレクションデータ

コレクション名 Herbarium - Masaryk University
コレクション識別子 https://scientific-collections.gbif.org/collection/e7728adb-7110-4695-a05f-eacaf96b7343
標本保存方法 Dried and pressed,  Dried

書誌情報の引用

  1. Palpurina, S., Chytrý, M., Tzonev, R., Danihelka, J., Axmanová, I., Merunková, K., Duchoň, M. & Karakiev, T. (2015) Patterns of fine-scale plant species richness in dry grasslands across the eastern Balkan Peninsula. Acta Oecologica, 63, 36–46. 10.1016/j.actao.2015.02.001
  2. Palpurina, S. (2017) Environmental drivers of fine-scale plant species richness in Eurasian dry grasslands: a macroecological perspective. PhD thesis, Masaryk Univeristy 10.13140/RG.2.2.26151.85927

追加のメタデータ

謝辞 Field data collection and lab analyses were funded the Czech Science Foundation (project no. 14-36079G, Centre of Excellence PLADIAS).
はじめに

Background

Dry grasslands and steppes are species-rich ecosystems with considerable beta diversity and high species richness. Before the start of this PhD project, we knew that some steppe types harbour the highest levels of local species richness among all ecosystems of temperate Eurasia. Still the determinants of species richness patterns in steppe vegetation were poorly known. Understanding environmental drivers of fine-scale species richness of vascular plants (henceforth, species richness) and their underlying mechanisms is important both for planning efficient conservation measures and for understanding the ecological and evolutionary processes that structure plant diversity in space and time. This dataset contains data on environmental factors known from previous studies to considerably influence the variation in species richness in dry grasslands at local and regional scales such as: (1) soil pH - as a non-resource factor that has been shaping evolutionary history of regional floras and regional species pools; (2) productivity - as an expression of water and nutrient availability; (3) the type of nutrient limitation (pure limitation by a single nutrient, co-limitation, or no nutrient limitation) as an expression of the unbalanced inter-specific competition under different relative nutrient supplies of nitrogen (N) and phosphorus (P); and (4) precipitation as another proxy of water availability. Most previous studies in this regard were conducted in Central and Western Europe, where dry grasslands reach their western distribution limits. In contrast, studies exploring ecological relationships of species richness in dry grasslands from other parts of Europe (e.g. Balkans) and from the core of the Eurasian dry grassland distribution range – the steppe and forest-steppe biomes in continental Asia – are relatively few. In addition, the relative effects and importance of soil pH and precipitation, on the one hand, and the influence of productivity and the type of nutrient limitation, on the other hand, have not yet been assessed for a single ecosystem at large study extents, i.e. at regional and continental scales. 

Bulgarian dry grasslands are a very suitable model for analysing the patterns of local species richness and beta diversity and obtaining deeper insights into the potential causes of these patterns. First, Bulgarian dry grasslands developed under much stronger influence of the submediterranean flora than the steppes that were previously studied in other regions. Thus, it may be tested whether the patterns recognized in other areas are valid for a flora with different evolutionary history. Second, prior to this PhD thesis, species richness patterns in Bulgarian dry grasslands were largely unknown.

How the data have been used to date and what were the main findings?

Parts of this dataset have been used and analysed in three papers that formed Palpurina's PhD thesis:

Paper I (Palpurina et al., 2015, Acta Oecologica): Based on a subset of 156 plots from this dataset, we asked: (1) Which are the main environmental drivers of fine-scale vascular plant species richness in dry grasslands in the Eastern part of the Balkan Peninsula? (2). Does the relationship between fine-scale plant species richness and environmental predictors differ among species of different life-forms? Our results suggested that climatic factors were the most important driver of species richness, separating the species-richer sites in sub-Mediterranean areas from the less species-rich sites in temperate-continental areas. Substrate properties and factors related to water availability were important only when the effect of climate was accounted for. We showed that the reason for this pattern is the increase in richness of annual species of sub-Mediterranean origin but not at the expense of temperate-continental species, which suggests that the species pool of dry grasslands in sub-Mediterranean areas is larger than that of dry grasslands in temperate-continental areas.

Paper II (Palpurina et al., 2016, Global Ecology and Biogeography): Combining a subset of 169 plots from the current dataset with plots from across continental Asia into a larger dataset of 1084 plots, we asked: (1) What is the relationship between fine-scale vascular plant species richness and soil pH in dry grasslands across regions of contrasting precipitation in Eurasia? (2) What are the unique and shared effects of soil pH and precipitation as drivers of fine-scale vascular plant species richness across regions in Eurasia? We revealed a strong dependence of the richness–soil pH relationship on the precipitation gradient across dry grasslands in northern Eurasia. Soil pH had a small effect and most of this effect was shared with the effect of precipitation. We suggested that the species richness–soil pH relationship in dry grasslands over broad areas is substantially confounded by precipitation either indirectly, by shortening and shifting the pH gradient, or directly, by decreasing the negative effects of drought stress on richness.

Paper III (Palpurina et al. 2018, J Ecology): Combining a subset of 165 plots from the current dataset with plots from across continental Asia into a larger dataset of 1,263 plots, we asked (1) Does the plant species richness–productivity relationship depend on the type of nutrient limitation? (2) Is the dependence of the plant species richness–productivity relationship consistent among regions? We foudn that, at the continental scale, the species richness–productivity relationship differed between types of nutrient limitation in dry grasslands. Species richness increased continually up to a productivity of ~500 g.m-2 in N&P co-limited grasslands. However, in purely N-, P-limited and unlimited by N and P sites, richness reached a peak at ~300 g.m-2. We hypothesized that the higher species richness of highly productive N&P co-limited grasslands is due to enhanced species coexistence under balanced nutrient supplies. Due to unbalanced prevalence of nutrient limitation within regions, no generalization could be made at the regional scale.

As a by-product, plots from this dataset were used by other Bulgarian phytosociologists to elaborate local phytosociological classifications of dry grassland vegetation on the Balkan peninsula (Vassilev et al., 2024).

Potential future research:

Further possible research questions may include: (1) comparinhg beta diversity of selected types of Bulgarian vegetation among dry, mesic and wet habitats and if there are differences, to propose historical explanations; (2) patterns of generalist and specialist species in dry grasslands, habitat affinities of invasive species, comparison of the patterns found in Bulgaria with those found in Central Europe and/or the Ukraine and Russia, analysis of species traits, shifts in ecological behaviour of species among distant regions (CZ, BG, Urals, Altai) etc.

References:

Palpurina, S. (2017) Environmental drivers of fine-scale plant species richness in Eurasian dry grasslands: a macroecological perspective. PhD thesis.

Palpurina, S., Chytrý, M., Hölzel, N., Tichý, L., Wagner, V., Horsák, M., Axmanová, I., Hájek, M., Hájková, P., Freitag, M., Lososová, Z., Mathar, W., Tzonev, R., Danihelka, J. & Dřevojan, P. (2019) The type of nutrient limitation affects the plant species richness–productivity relationship: Evidence from dry grasslands across Eurasia. Journal of Ecology, 107, 1038–1050.

Palpurina, S., Chytrý, M., Tzonev, R., Danihelka, J., Axmanová, I., Merunková, K., Duchoň, M. & Karakiev, T. (2015) Patterns of fine-scale plant species richness in dry grasslands across the eastern Balkan Peninsula. Acta Oecologica-International Journal of Ecology, 63, 36–46.

Palpurina, S., Wagner, V., von Wehrden, H., Hájek, M., Horsák, M., Brinkert, A., Hölzel, N., Wesche, K., Kamp, J., Hájková, P., Danihelka, J., Lustyk, P., Merunková, K., Preislerová, Z., Kočí, M., Kubešová, S., Cherosov, M., Ermakov, N., German, D., Gogoleva, P., Lashchinsky, N., Martynenko, V. & Chytrý, M. (2017) The relationship between plant species richness and soil pH vanishes with increasing aridity across Eurasian dry grasslands. Global Ecology and Biogeography, 26, 425–434.

Vassilev, K., Bergmeier, E., Boch, S., Pedashenko, H., Sopotlieva, D., Tsiripidis, I., Apostolova, I., Fotiadis, G., Ganeva, A., Genova, B., Natcheva, R., Pirini, C., Shivarov, V., Tichý, L., Vrahnakis, M. & Dengler, J. (2024) Classification of the high-rank syntaxa of the Central and Eastern Balkan dry grasslands with a new hierarchical expert system approach. Applied Vegetation Science, 27.
目的

Dry grasslands and steppes are species-rich ecosystems with considerable beta diversity and high species richness, with some steppe types harbouring the highest levels of local species richness among all ecosystems of temperate Eurasia. Determinants of species richness patterns in steppe vegetation are poorly known and vary between different regions and sites. In addition, there had been no systematic studies assessing fine-scale species patterns of plant diversity in dry grasslands across the eastern Balkans although this knowledge could inform nature conservation.

To fill in this gap, we sampled sites with dry grasslands throughout Bulgaria and SE Romania (Dobrudzha region) and collected a total of 181 vegetation plots of the size 10 × 10 m2. Our main focus was on grasslands belonging to the phytosociological class Festuco-Brometea. However, within this datasets there are 9 plots that were transitional to pseudo-steppes from the class Stipo-Trachynietea distachyae.

In each plot, all vascular plant species were recorded, soil depth was measured, and soil samples were collected and analysed in a laboratory for pH and plant-available nutrients [N, P, K]. Biomass samples were also collected to estimate above-ground plant productivity and assess concentration of N, P and K.

Based on a subset of 156 plots from this dataset (Palpurina et al., 2015), we revealed that climatic factors were the most important driver of species richness, separating the species-richer sites in sub-Mediterranean areas from the less species-rich sites in temperate-continental areas. Substrate properties and factors related to water availability were important only when the effect of climate was accounted for. We showed that the reason for this pattern is the increase in richness of annual species of sub-Mediterranean origin but not at the expense of temperate-continental species, which suggests that the species pool of dry grasslands in sub-Mediterranean areas is larger than that of dry grasslands in temperate-continental areas.
メンテナンス内容 If vouchers from occurrences of this dataset change determination this will be relfected also here. If inconsistencies with field notes are found, this also will be cleared in time.
代替識別子 c670c564-8366-4007-8d91-6f7fb6c31c2f
https://cloud.gbif.org/eca/resource?r=dry_grasslands_palpurina_phdthesis