European Weed Vegetation Database – a gap-focused                     vegetation-plot database

Küzmič, Filip; Šilc, Urban; Lososová, Zdeňka; Mucina, Ladislav; Chytrý, Milan; Knollová, Ilona; Hennekens, S.M.; Berg, Christian; Bergmeier, Erwin; Biurrun, Idoia; Fanfarillo, Emanuele; Font, Xavier; Iakushenko, Dmytro; Kovačević, Zlatan; Meyer, Stefan; Nagy, Katalin; Pinke, Gyula; Poranen, Eira; Tereshenko, Svetlana

doi:10.1127/phyto/2019/0337

Cited by 11 publications

(12 citation statements)

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“…Regarding vascular plants, all the species occurring in the plot were recorded and attributed a cover value, according to the Braun-Blanquet seven-degree scale (Braun-Blanquet, 1964). Plant community data were stored in the "European Weed Vegetation Database" of the European Vegetation Archive (Küzmič et al, 2020). To avoid the influence of disturbance on insects communities, these were sampled before vascular plants, during sunny and windless days.…”

Section: Sampling Design and Methodsmentioning

confidence: 99%

Effects of conventional and organic management on plant and insect communities in a traditional elephant garlic crop

et al. 2022

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Agricultural management has a great influence on biodiversity and its services in agroecosystems. In Europe, a relevant proportion of biodiversity is dependent on low-input agriculture. To assess the effects of agricultural management on biodiversity, in this study we surveyed the communities of arable plants, diurnal flying insects, and pollinators in three conventional and in two organic fields of a traditional Elephant garlic (Allium ampeloprasum L.) crop of the Valdichiana area, in Tuscany (central Italy). The sampling was carried out twice during the season: in spring, during crop growing, and in summer, after crop harvesting. We assessed the effects of the different agricultural management on the richness and composition (species occurrence and abundance) of the three communities using univariate and multivariate analyses. Concerning our specific case study, only plant species richness was significantly higher in organic fields (15.7 ± 2.7 species per plot), compared to conventional ones (5.4 ± 2.3 species per plot). Regarding community composition, only pollinators showed a marginally significant difference between conventional and organic fields. Conversely, the effect of specific fields significantly explained differences in composition of all the investigated groups (plants, total insects, and pollinators). The results suggest that, in our case study, the emerged differences in diversity of the investigated communities were mainly attributable to environmental and management factors related to single fields, more than to organic or conventional farming. Such evidence could be partly due to the very local scale of the study, to the heterogeneity of the surveyed fields, and to the reduced number of surveyed fields. Further investigation is therefore needed.

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Section: Sampling Design and Methodsmentioning

confidence: 99%

Effects of conventional and organic management on plant and insect communities in a traditional elephant garlic crop

et al. 2022

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“…If coordinates were already available, they were converted in WGS84 geodetic datum, when differently expressed. The uncertainty of geographic positions was estimated according to the 9-degree scale defined by Murphey et al (2004) and then converted into metres, as requested by GBIF (1, 100, 500, 1000, 5000, 10,000, 50,000 m or accordingly higher, if only the administrative region/country were given for data, following the same method used in Küzmič et al 2020). Georeferencing historical data was often challenging due to vague information on the collection place or to the report of non-localisable toponyms.…”

Section: Methodsmentioning

confidence: 99%

“…Part of the stored data was used to highlight the influence of the geo-environmental factors and the patterns of co-occurrence of rare and threatened arable species in winter arable plant communities of mainland Italy (Fanfarillo et al 2020c, d). Moreover, another subset of the data contributed, in the form of vegetation plots, to the establishment of the European Weed Vegetation Database (Küzmič et al 2020). Besides GBIF, the occurrences stored in the "Segetal flora of Italy" database will be also stored in other important biodiversity data repositories, such as the Italian Wikiplantbase #Italia onwards; Dipartimento di Biologia, Università di Pisa 2020).…”

Section: Interest and Use Of The Datasetmentioning

confidence: 99%

The segetal flora of Italy: an occurrence dataset from relevés in winter cereals and allied crop types

Fanfarillo¹,

Latini²,

Iberite³

et al. 2020

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The segetal flora of winter crops includes mostly native or archaeophyte annual species that are often strong specialists of their habitats. Threatened by the intensification of agriculture, segetal flora is particularly valuable from a perspective of biodiversity conservation and evolution. Moreover, it contributes to maintain biodiversity in agroecosystems and provides several ecosystem services. The dataset here described was set up to provide the first inventory of the segetal flora of Italian winter cereal crops and allied crop types, the latter including flax and autumn-sown legumes. It includes 24,676 georeferenced occurrence data deriving from 1,240 floristic and phytosociological relevés. The data were collected from the greater part of Italian territory, in a temporal range spanning from 1946 to 2018.

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“…Analysis of long-term trends in change of the European arable flora will then be facilitated by integrating all available data sources. Similar to the data sources made available by the efforts for the European Weed Vegetation Database (Küzmič et al, 2020), many more studies exist in the weed science that can be included in the AWME collection, including resurvey studies, surveys from before 1996 and those from further European countries, especially from Scandinavia.…”

Section: Joint Use Of the Data Collectionsmentioning

confidence: 99%

“…This data collection was obtained from the EVA (Chytrý et al, 2016), which includes the European Weed Vegetation Database (GIVD ID EU-00-028; Küzmič et al, 2020) and several other databases with plot observations of weed vegetation. The plots from EVA were first selected using the expert system based on species lists characterising F I G U R E 1 Overlap between the objectives of vegetation science and weed science in arable landscapes weed vegetation classes from EuroVegChecklist (Mucina et al, 2016).…”

Section: Data Collection: Weed Vegetation Subset Of the European Vege...mentioning

confidence: 99%

Two sides of one medal: Arable weed vegetation of Europe in phytosociological data compared to agronomical weed surveys

Bürger

Küzmič

Šilc

et al. 2022

Applied Vegetation Science

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Questions Two scientific disciplines, vegetation science and weed science, study arable weed vegetation, which has seen a strong diversity decrease in Europe over the last decades. We compared two collections of plot‐based vegetation records originating from these two disciplines. The aim was to check the suitability of the collections for joint analysis and for addressing research questions from the opposing domains. We asked: are these collections complementary? If so, how can they be used for joint analysis? Location Europe. Methods We compared 13 311 phytosociological relevés and 13 328 records from weed science, concerning both data collection properties and the recorded species richness. To deal with bias in the data, we also analysed different subsets (i.e., crops, geographical regions, organic vs conventional fields, center vs edge plots). Results Records from vegetation science have an average species number of 19.0 ± 10.4. Metadata on survey methodology or agronomic practices are rare in this collection. Records from weed science have an average species number of 8.5 ± 6.4. They are accompanied by extensive methodological information. Vegetation science records and the weed science records taken at field edges or from organic fields have similar species numbers. The collections cover different parts of Europe but the results are consistent in six geographical subsets and the overall data set. The difference in species numbers may be caused by differences in methodology between the disciplines, i.e., plot positioning within fields, plot sizes, or survey timing. Conclusion This comparison of arable weed data that were originally sampled with a different purpose represents a new effort in connecting research between vegetation scientists and weed scientists. Both collections show different aspects of weed vegetation, which means the joint use of the data is valuable as it can contribute to a more complete picture of weed species diversity in European arable landscapes.

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European Weed Vegetation Database – a gap-focused vegetation-plot database

Cited by 11 publications

References 0 publications

Effects of conventional and organic management on plant and insect communities in a traditional elephant garlic crop

Effects of conventional and organic management on plant and insect communities in a traditional elephant garlic crop

The segetal flora of Italy: an occurrence dataset from relevés in winter cereals and allied crop types

Two sides of one medal: Arable weed vegetation of Europe in phytosociological data compared to agronomical weed surveys

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