Sampling event

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

最新版本 由 Institute of Plant and Animal Ecology (IPAE) 發佈於 2022年2月23日 Institute of Plant and Animal Ecology (IPAE)
發布日期:
2022年2月23日
授權條款:
CC-BY 4.0

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DwC-A資料集 下載 340 紀錄 在 English 中 (2 MB) - 更新頻率: 有可能更新,但不確知何時
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說明

The dataset includes a 2004 census for topsoil macroinvertebrates of spruce-fir forests along a pollution gradient in the Central Urals. The dataset describes soil macrofauna’s abundance and community structure (list of supraspecific taxa, list of species for most abundant taxa, and taxa or species abundance) in areas differing with toxic metal (Cu, Zn, Pb, and Cd) contamination levels from the Middle Ural Copper Smelter (heavily polluted, moderately polluted, and unpolluted areas). The dataset consists of 340 sampling events (= samples, corresponding to upper and lower layers of the soil monoliths), and 64 658 occurrences (abundance of invertebrate taxa per sample (soil layer), both present and absent). Arachnids, Carabids (adults), Elaterids (juveniles), Chilopods, Diplopods, Gastropods, Staphylinids (adults), and Lmbricids were identified to species level. In contrast, Mermithids, Enchytraeids, Lepidopteran larvae, Dipteran larvae, Hemipterans, Hymenopterans, and some other insects were identified to family or order levels. In total, 8 430 individuals of soil macroinvertebrates were collected in two soil layers (organic and organic-mineral horizons), including 1 046 Arachnids (spiders and harvestmen), 45 Carabids, 300 Elaterids, 529 Myriapods, 741 Gastropods, 437 Staphylinids, 623 Lumbricids, and 4 709 other invertebrates. The presence-absence data on each taxon is provided for each sampling event. The dataset contains information helpful for long-term ecotoxicological monitoring of forest ecosystems and contributes to studying soil macrofauna diversity in the Urals.

資料紀錄

此資源sampling event的資料已發佈為達爾文核心集檔案(DwC-A),其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 340 筆紀錄。

亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

Event (核心)
340
Occurrence 
64658

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版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

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

權利

研究者應尊重以下權利聲明。:

This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: 61e92984-382b-4158-be6b-e391c7ed5a64。  Institute of Plant and Animal Ecology (IPAE) 發佈此資源,並經由Participant Node Managers Committee同意向GBIF註冊成為資料發佈者。

關鍵字

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

聯絡資訊

Evgenii Vorobeichik
  • 元數據提供者
  • 出處
  • 連絡人
principal investigator
Institute of plant and animal ecology, UB RAS
Yekaterinburg
RU
Alexey Nesterkov
  • 連絡人
researcher
Institute of plant and animal ecology, UB RAS
Yekaterinburg
RU
Alexander Ermakov
  • 出處
senior researcher
Institute of plant and animal ecology, UB RAS
Yekaterinburg
RU
Maxim Zolotarev
  • 出處
researcher
Institute of plant and animal ecology, UB RAS
Yekaterinburg
RU
Maxim Grebennikov
  • 出處
research engineer
Institute of plant and animal ecology, UB RAS
Yekaterinburg
RU
Alexey Nesterkov
  • 連絡人
Institute of plant and animal ecology, UB RAS
Yekaterinburg
RU

地理涵蓋範圍

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).

界定座標範圍 緯度南界 經度西界 [56.785, 59.356], 緯度北界 經度東界 [56.905, 59.92]

分類群涵蓋範圍

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

Phylum Annelida, Arthropoda, Mollusca, Nematoda
Class Clitellata, Arachnida, Chilopoda, Diplopoda, Insecta, Gastropoda, Enoplea
Order Crassiclitellata, Enchytraeida, Araneae, Opiliones, Geophilomorpha, Lithobiomorpha, Chordeumatida, Polyzoniida, Coleoptera, Diptera, Hemiptera, Hymenoptera, Lepidoptera, Ellobiida, Stylommatophora, Mermithida

時間涵蓋範圍

起始日期 / 結束日期 2004-07-03 / 2004-08-16

計畫資料

無相關描述

計畫名稱 Russia 2021
辨識碼 N-Eurasia-Russia2021

參與計畫的人員:

Dmitry Schigel

取樣方法

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.

研究範圍 Study sites were located on gentle slopes of ridges in spruce-fir forest. A total of nine study sites (=locationID) were established, corresponding to areas with different pollution levels. The number of sampling plots within each study site ranged from one to three; 20 samples were collected from each sampling plot. The study of soil macrofauna is part of an ongoing long-term monitoring project; the dataset covers the period from July 03, 2004, to August 16, 2004.
品質控管 All soil macrofauna specimens were stored in the depository of the Laboratory of Population and Community Ecotoxicology of the Institute of Plant and Animal Ecology, Ural Branch, Russian Academy of Sciences (IPAE UB RAS). The specialists of the IPAE also performed species identification of most of the taxa: arachnids, chilopods, and diplopods were identified by Maxim P. Zolotarev; carabids and elaterids were identified by Alexander I. Ermakov; gastropods were identified by Maxim E. Grebennikov. Species identification of the staphylinids was carried out by Viktor B. Semenov from the Institute of Medical Parasitology, Tropical and Vector-borne Diseases named after E.I. Martsinovsky, Moscow. Earthworm species were identified by Elena V. Golovanova from the Laboratory of Invertebrate Systematics and Ecology of Omsk State Pedagogical University, Omsk.

方法步驟描述:

  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.

收藏資料

蒐藏名稱 lepc_soilMacrofauna_2004
標本保存方法 Alcohol,  Formalin

引用文獻

  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

額外的詮釋資料

替代的識別碼 61e92984-382b-4158-be6b-e391c7ed5a64
https://ipt.ipae.uran.ru/resource?r=lepc_soilmacrofauna_2004