The Silva Gabreta biodiversity monitoring database: assessing biological diversity in the Šumava National Park, Czech Republic

The Bohemian Forest spans the borders of Bavaria, Czechia and Upper Austria, and is important for studying forest biodiversity in central European mountain ecosystems. This study focuses on assessing the patterns in biodiversity in the Šumava National Park. Species richness, Shannon diversity index, evenness and dominance were determined for 117 forest plots (large sample) and a subsample of 49 plots (small sample) using comprehensive monitoring techniques within the Silva Gabreta project, a cross-border initiative implemented together with the Bavarian Forest National Park. Data were collected for the following taxonomic groups: plants, fungi, mammals and invertebrates, using a variety of trapping methods and survey techniques. Results indicate significant differences in the number of species in the different taxonomic groups, with Lepidoptera, fungi and Bryophyta with the highest species richness and diversity, whereas groups such as Neuroptera, Curculionidae and mammals had lower values. Although most biodiversity indicators were not significantly different between the large and the small sample at the taxonomic level, species richness and Shannon diversity were higher in the small sample. This may be attributed to the trapping methods used in those plots, which are likely to have resulted in more complete captures of the species than in the plots of the large sample. The findings indicate that 49 plots are a suitable number for long-term biodiversity monitoring, provided key plots with efficient trapping setups are included. This study highlights the importance of careful plot selection and suggests that a mixed monitoring strategy, incorporating both broad taxonomic assessments and targeted approaches for specific taxa, may be the most effective for monitoring biodiversity.

Authors

Institutions

Publication Details

Journal
EUROPEAN JOURNAL OF ENVIRONMENTAL SCIENCES
Published
2024-12-20
DOI
https://doi.org/10.14712/23361964.2024.11
Primary Topic
Forest Ecology and Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Silva Gabreta biodiversity monitoring database: assessing biological diversity in the Šumava National Park, Czech Republic

Zuzana Štípková, Binu Timsina, Zdeňka Křenová, Maan Bahadur Rokaya et al.
EUROPEAN JOURNAL OF ENVIRONMENTAL SCIENCES
Forest Ecology and Biodiversity Studies
article

The Silva Gabreta biodiversity monitoring database: assessing biological diversity in the Šumava National Park, Czech Republic

Zuzana Štípková, Binu Timsina, Zdeňka Křenová, Maan Bahadur Rokaya, Rastislav Jakuš
article en

Abstract

The Bohemian Forest spans the borders of Bavaria, Czechia and Upper Austria, and is important for studying forest biodiversity in central European mountain ecosystems. This study focuses on assessing the patterns in biodiversity in the Šumava National Park. Species richness, Shannon diversity index, evenness and dominance were determined for 117 forest plots (large sample) and a subsample of 49 plots (small sample) using comprehensive monitoring techniques within the Silva Gabreta project, a cross-border initiative implemented together with the Bavarian Forest National Park. Data were collected for the following taxonomic groups: plants, fungi, mammals and invertebrates, using a variety of trapping methods and survey techniques. Results indicate significant differences in the number of species in the different taxonomic groups, with Lepidoptera, fungi and Bryophyta with the highest species richness and diversity, whereas groups such as Neuroptera, Curculionidae and mammals had lower values. Although most biodiversity indicators were not significantly different between the large and the small sample at the taxonomic level, species richness and Shannon diversity were higher in the small sample. This may be attributed to the trapping methods used in those plots, which are likely to have resulted in more complete captures of the species than in the plots of the large sample. The findings indicate that 49 plots are a suitable number for long-term biodiversity monitoring, provided key plots with efficient trapping setups are included. This study highlights the importance of careful plot selection and suggests that a mixed monitoring strategy, incorporating both broad taxonomic assessments and targeted approaches for specific taxa, may be the most effective for monitoring biodiversity.

EUROPEAN JOURNAL OF ENVIRONMENTAL SCIENCESVol. 14(2)
Czech Academy of Sciences (CZ), Charles University (CZ), Czech Academy of Sciences, Global Change Research Institute (CZ), Czech Academy of Sciences, Institute of Botany (CZ)
Interreg
Life in Land
Openalex Percentile: Top 83%
Forest Ecology and Biodiversity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.