Diversity and abundance of soil macroinvertebrates along a contamination gradient in the Central Urals, Russia

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、340 レコードが含まれています。

拡張データ テーブルは1 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。

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。:

Vorobeichik E, Nesterkov A, Ermakov A, Zolotarev M, Grebennikov M (2022): Diversity and abundance of soil macroinvertebrates along a contamination gradient in the Central Urals, Russia. v1.5. Institute of Plant and Animal Ecology (IPAE). Dataset/Samplingevent. https://ipt.ipae.uran.ru/resource?r=lepc_soilmacrofauna_2004&v=1.5

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。:

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: 61e92984-382b-4158-be6b-e391c7ed5a64が割り当てられています。   Participant Node Managers Committee 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Institute of Plant and Animal Ecology (IPAE) が、このリソースをパブリッシュしました。

キーワード

Samplingevent; soil macrofauna; earthworms; millipedes; centipedes; spiders; harvestmen; wireworms; ground beetles; rove beetles; mollusks; species diversity; population density; community composition; resistance; forest litter; industrial pollution; heavy metals; copper smelter

連絡先

地理的範囲

The study area is situated in the lowest uplands of the Urals (altitudes are 150–400 m above sea level) and belongs to the southern taiga subzone. Primary coniferous forests (Picea abies, Abies sibirica, and Pinus sylvestris) and secondary deciduous forests (Betula pendula, Betula pubescens, and Populus tremula) prevail. Spruce and fir forests with nemoral flora on loam or heavy loam soils dominate on the western slope of the Urals, and pine forests on sandy loam or light loam soils prevail on the eastern side. Study areas are located in spruce-fir forests. The ground vegetation layer is dominated by Oxalis acetosella, Aegopodium podagraria, Gymnocarpium dryopteris, Dryopteris carthusiana, Asarum europaeum, Maianthemum bifolium, Cerastium pauciflorum, and Stellaria holostea. Soil formation occurs on eluvium and eluvium-diluvium of bedrock metamorphic rocks (shales, sandstones, quartzites, and silicified limestones). Soil cover is formed mainly by soddy-podzolic soils (Albic Retisols, Stagnic Retisols, and Leptic Retisols), burozems (Haplic Cambisols), and grey forest soils (Retic Phaeozems). Zoogenically active humus form (Dysmull) prevails (Korkina and Vorobeichik, 2021). The climate is warm-summer humid continental, Dfb according to Köppen-Geiger classification (Peel et al., 2007). The average annual air temperature is +2.0 °С; the average annual precipitation is 550 mm; the warmest month is July (+17.7 °С) and the coldest month is January (–14.2 °С) (mean values for the last 40 years, 1975–2015, according to the data of the nearest meteorological station in Revda). The snowless period is about 215 days (from April to October), the maximum height of the snow cover is about 40–60 cm. The Middle Ural Copper Smelter (MUCS), located in the suburbs of Revda, 50 km west of Yekaterinburg, has been in operation since 1940. The primary toxic emissions are gaseous compounds of sulfur, fluorine, and nitrogen and dust particles with adsorbed heavy metals (Cu, Pb, Zn, Cd, Fe, Hg) and metalloids (As). The annual amount of emissions in 1980 reached 225 × 103 t, being reduced to 148 × 103 t in 1990 and 106 × 103 t in 1991. The subsequent reduction was more significant: to 96 × 103 t in 1994, 63 × 103 t in 2000, 28 × 103 t in 2004, and, after an overhaul of the smelter in 2010, to only 3–5 × 103 t per year (Vorobeichik, Kaigorodova, 2017). Current concentrations of heavy metals in the forest litter near the MUCS are very high: Cu, 3500–5500 μg/g; Pb, 2500 μg/g; Cd, 17–20 μg/g; Zn, 600–900 μg/g; i.e., they exceed the background values by factors of 100, 40, 7, and 3, respectively (Vorobeichik, Pishchulin, 2016; Korkina, Vorobeichik, 2018). In the moderately polluted areas, exposure to emissions from MUCS has resulted in suppressed growth of trees (decrease in the height, diameter, and stock of tree stand) and ground vegetation (decrease in species diversity and productivity). Closer to the MUCS, in the heavily polluted area, the spruce-fir forest has survived in fragments with herbaceous communities of relatively poor species composition (Equisetum sylvaticum, Deschampsia caespitosa, Tussilago farfara, Agrostis capillaris) and a moss layer formed by Pohlia nutans. Despite the significant reduction of emissions in recent years, vegetation in the most polluted areas is not yet been recovered. However, some positive changes have already occurred in the moderately polluted zone (Vorobeichik et al., 2014). Apart from the metal accumulation and increased acidity, soil transformation manifests itself in the enhancement of the eluvial-gleying process, degradation of soil aggregates, decrease in exchangeable potassium and magnesium, increase in forest litter thickness, and shifts from zoogenically active Mull humus forms to Eumor humus forms without any signs of soil macrofauna activity (Kaigorodova, Vorobeichik, 1996; Korkina, Vorobeichik, 2016, 2018, 2021; Vorobeichik, Pishchulin, 2016).

生物分類学的範囲

General taxonomic coverage is 4 phyli, 7 classes, 16 orders, 39 families, 115 genera, 142 species of soil macroinvertebrates.

時間的範囲

プロジェクトデータ

説明がありません

プロジェクトに携わる要員:

収集方法

Soil macroinvertebrates were collected in July and August of 2004. Sampling plots 10 × 10 m in size were established in nine study sites. Soil macrofauna was hand-sorted out of soil monoliths 20 × 20 cm in area and 25–30 cm in depth depending on the presence of macroinvertebrates. A total of 340 samples and 8 430 individuals of soil macroinvertebrates were collected over 2004 year.

Method step description:

1. Fieldwork and processing of soil monoliths. Soil macroinvertebrates were collected in July and August of 2004. Sampling plots 10 × 10 m in size were established in nine study sites. Soil macrofauna was hand-sorted out of soil monoliths 20 × 20 cm in area and 25–30 cm in depth depending on the presence of macroinvertebrates. The sampling effort (time interval for extracting one soil monolith from the sampling plot) was approximately 5 minutes. Ten monoliths were collected from each plot randomly, excluding nearby trunk areas with a radius of 0.5–1 m around large trees (more than 30 cm in diameter) and any visible pedoturbations. During sampling, monoliths were divided into two layers: the O horizon (organic) and A horizon (organic-mineral). Monoliths were placed in plastic bags (separately for the layers), delivered to the laboratory, and stored before processing at 12°C for no more than five days (as a rule, 1–2 days). The collected invertebrates were wet-preserved in 70% ethanol; earthworms were carefully washed with water, fixed with 10% formalin, and then wet-preserved in 70% ethanol. Ants and relatively large microarthropods (springtails, oribatid mites) were left out of account. A total of 340 samples and 8 430 individuals of soil macroinvertebrates were collected over 2004 year.

コレクションデータ

書誌情報の引用

1. Kaigorodova S.Yu., Vorobeichik E.L., 1996. Changes in certain properties of grey forest soil polluted with emissions from a copper-smelting plant. Russian Journal of Ecology. Vol. 27, no. 3, pp. 177–183.
2. Korkina, I.N., Vorobeichik, E.L., 2016. The humus index: A promising tool for environmental monitoring. Russian Journal of Ecology. Vol. 47, no. 6, pp. 526–531. https://doi.org/10.1134/S1067413616060084
3. Korkina, I.N., Vorobeichik, E.L., 2018. Humus index as an indicator of the topsoil response to the impacts of industrial pollution. Applied Journal of Soil Ecology, Vol. 123, pp. 455–463. https://doi.org/10.1016/j.apsoil.2017.09.025
4. Korkina, I.N., Vorobeichik, E.L., 2021. Non-typical degraded and regraded humus forms in metal-contaminated areas, or there and back again. Geoderma 404, 115390. https://doi.org/10.1016/j.geoderma.2021.115390
5. Peel, M.C., Finlayson, B.L., McMahon, T.A., 2007. Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences 11, 1633–1644. https://doi.org/10.5194/hess-11-1633-2007
6. Vorobeichik, E.L. Pishchulin, P.G., 2016. Industrial pollution reduces the effect of trees on forming the patterns of heavy metal concentration fields in forest litter. Russian Journal of Ecology. Vol. 47, no. 5, pp. 431–441. https://doi.org/10.1134/S1067413616050155
7. Vorobeichik, E.L., Trubina, M.R., Khantemirova, E.V., Bergman, I.E., 2014. Long-term dynamic of forest vegetation after reduction of copper smelter emissions. Russian Journal of Ecology. Vol. 45, no. 6, pp. 498–507. https://doi.org/10.1134/S1067413614060150
8. Vorobeichik E, Nesterkov A, Ermakov A, Zolotarev M, Grebennikov M (2022) Diversity and abundance of soil macroinvertebrates along a contamination gradient in the Central Urals, Russia. Biodiversity Data Journal 10: e76968. https://doi.org/10.3897/BDJ.10.e76968

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