Global Overview of Modern Research Based on Ellenberg Indicator Values

Zolotova, Ekaterina; Ivanova, Natalya; Иванова, Светлана

doi:10.3390/d15010014

Cited by 11 publications

(14 citation statements)

References 122 publications

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“…We found that the use of this methodology gives good results in the studies of different plant communities in different countries. The geography of the use of the Landolt indicator values is somewhat different from the geography of the use of the Ellenberg indicator values analyzed in our previous study [8]. As with Ellenberg indicator values, we found no limitations to the use of Landolt indicator values when studying a wide range of plant communities.…”

Section: Discussioncontrasting

confidence: 74%

“…However, it is practically impossible to evaluate these factors by one-time accounting without long-term stationary studies, since daily, seasonal and year-to-year variability of indicators will not be taken into account. Ecological indicator values make it possible to assess the cumulative impact of factors, since they link the signs of vegetation and gradients of the leading environmental factors [8]. The assessment of habitats by ecological indicator values has a number of advantages.…”

Section: Introductionmentioning

confidence: 99%

“…Dozens of different ecological indicator values have been developed to date and have a wide range of applications [8,9]. H. Ellenberg [10] and E. Landolt [11] were among the first to develop indicators for Europe.…”

Section: Introductionmentioning

confidence: 99%

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Landolt Indicator Values in Modern Research: A Review

Ivanova

Zolotova

2023

Sustainability

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The conservation of biodiversity and ecosystem sustainability is essential for human well-being. An important tool for addressing this issue is ecological indicators. This overview document examines recent studies covering the period 2018–2022 that use the values of the Landolt indicator as one of the analysis methods. The total number of records examined was 8910. After excluding irrelevant, inconsistent and duplicate records, 91 records were selected. The selection criteria were the presence of the English abstract and a digital object identifier (DOI). We chose the VOSviewer software for data analysis and visualization. The analysis of research geography, types of plant communities under research, research topics, the network of co-authorship and relationship papers, as well as the publication activity and citation rate of the authors, is carried out. The results revealed that the geography of using Landolt indicator values is quite wide, while they are more often used in Switzerland, Italy and Russia. The most important and frequently cited studies were carried out in the context of large international projects, confirming the importance of scientific cooperation in the development of environmental indicators. The Landolt indicator values showed effectiveness in the study of forests, bogs, riparian vegetation, a coarse quarry waste dump, and in assessing the urban environment. At the same time, the vegetation dynamics and influence of various factors on plants were studied most often. It was revealed that Landolt indicator values can serve as an effective universal method that integrates many aspects of the environment and allows for a comprehensive multicriteria analysis of environmental factors, habitat stability, vegetation diversity and dynamics for different plant communities at different spatial scales over a wide geographical area. This is confirmed by the high citation rate of the papers. We recommend the Landolt indicator values for a wider use, including in the monitoring of ecosystems and individual species for their conservation and sustainable management. In order to achieve this goal, it is necessary to extend the network of relationships between the authors, which is not very well developed at the moment. The research results obtained are useful for the further successful development not only of the Landolt indicator values but also of environmental indicators in general.

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Section: Discussioncontrasting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

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Landolt Indicator Values in Modern Research: A Review

Ivanova

Zolotova

2023

Sustainability

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“…Finally, we examined shifts in individual herb layer species and plant functional groups. Ellenberg-type ecological indicator values of plant species (Ellenberg et al 1992) are frequently used tool to infer environmental changes and to measure the magnitude and direction of changes in plant community composition in resurvey studies as they correspond fairly well with environmental factors measured in the eld (Diekmann 2003;Zolotova et al 2023). The whole concept is based on the premise that changes in species presences/absences and abundances translate to community-level increases or decreases in EIVs and that this likely indicate changes in environmental conditions.…”

Section: Discussionmentioning

confidence: 99%

Mixed signals of environmental change and a trend towards ecological contraction in ground vegetation across different forest types

Kermavnar

Kutnar

2023

Preprint

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Forest ground vegetation (GV) may serve as an early warning system for anthropogenic global-change impacts on temperate forests. Climate warming induce decline of cool-adapted species to the benefit of more thermophilous plants. Nitrogen deposition has been documented to potentially result in eutrophication, which can increase the proportion of species with higher nutrient requirements. Abiotic forest disturbances are changing the light and soil conditions and temporal vegetation dynamics may be altered by deer browsing. In this resurvey study, we tested the magnitude and direction of change in GV at different forest types (11 monitoring sites and 174 permanent vegetation plots within the ICP-Forests network) in Slovenia over 15 years (2004/05–2019/2020). Using the plant-derived characteristics (Ellenberg-type indicator values) and by testing a priori predictions concerning expected effects of environmental drivers, we show that the magnitude and direction of floristic changes varied greatly between forest sites. Divergent response of GV at different sites resulted in low net change and overall weak environmental signal. Sites positioned at the ends of the gradients are losing their original ecological character and are becoming more similar to mid-gradient sites which exhibited smaller changes. Shifts towards the middle of the gradients (process of ecological contraction) was driven by the decline of ecological specialists and their replacement by species with greater ecological amplitudes. Our results point to the importance of local stand dynamics in explaining the temporal trends in GV. Ground vegetation in Slovenian forests is changing in directions dictated by multiple local, regional and global change drivers.

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“…For example, Julve adapted them for France (Julve, 2015). Ellenberg's EIVs and their derivatives are still actively used by ecologists, frequently in forest systems (Zolotova et al., 2023). These ordinal‐scale EIVs from Ellenberg or Julve are mainly based on expert knowledge and field observations, whereas new sets of “biogeographic” EIVs are statistically derived from spatial occurrences and distribution maps covering large spatial extents, such as EcoPlant (Gégout et al., 2005) and ClimPlant (Vangansbeke et al., 2021).…”

Section: Introductionmentioning

confidence: 99%

Ecological indicator values of understorey plants perform poorly to infer forest microclimate temperature

Gril,

Spicher,

Vanderpoorten

et al. 2024

J Vegetation Science

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QuestionEcological indicator values (EIVs) reflect species‘ optimal conditions on an environmental gradient, such as temperature. Averaged over a community, they are used to quantify thermophilization stemming from climate change, i.e. the reshuffling of communities toward more warm‐adapted species. In forests, understorey plant communities do not keep up with global warming and accumulate a climatic debt. Although the causes are still debated, this thermal lag may be partly explained by forest microclimate buffering. For the first time, we test whether community means of EIVs are able to capture microclimate (here, under forest canopies) temperature across, or also within forests.Location157 forest plots across three French deciduous forests covering a large macroclimatic gradient.MethodsTo assess whether EIVs can be used to infer the mean and range of microclimate temperature in forests, we measured understorey air temperature for ca. 1 year (10 months) with sensors located 1 m above the ground. We surveyed bryophytes and vascular plants within 400‐m2 plots, and computed floristic temperature from ordinal‐scale EIVs (Ellenberg, Julve) and degree‐scale EIVs (ClimPlant, Bryophytes of Europe Traits) for both temperature and continentality, i.e. temperature annual range. Finally, we fitted linear models to assess whether EIVs could explain the mean and range of microclimate temperature in forests.ResultsVascular plant and bryophyte communities successfully reflected differences in mean annual temperatures across forests but largely failed to do so for microclimate variation within forests. Bryophytes did not perform better than vascular plants to infer microclimate conditions. The annual range of microclimate temperatures was poorly associated with ordinal‐scale EIVs for continentality but was positively correlated with degree‐scale EIVs for annual range within lowland forests, especially for vascular plant communities.ConclusionOverall, the capabilities of EIVs to infer microclimate was inconsistent. Refined EIVs for temperature are needed to capture forest microclimates experienced by understorey species.

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Global Overview of Modern Research Based on Ellenberg Indicator Values

Cited by 11 publications

References 122 publications

Landolt Indicator Values in Modern Research: A Review

Landolt Indicator Values in Modern Research: A Review

Mixed signals of environmental change and a trend towards ecological contraction in ground vegetation across different forest types

Ecological indicator values of understorey plants perform poorly to infer forest microclimate temperature

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