Sampling event

Eden Arthropod Azores Database

バージョン 1.4 Universidade dos Açores によって公開 2020/11/23 Universidade dos Açores
公開日:
2020/11/23
ライセンス:
CC-BY 4.0

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 3,214 レコード English で (750 KB)  - 更新頻度: irregular
EML ファイルとしてのメタデータ ダウンロード English で (26 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (21 KB)

説明

Purpose: This study aims to contribute to the current international directives concerning biodiversity, aiming to document and safeguard biological resources of the globe. We intend to present the most widely distributed and diverse taxa we recorded during the sampling program of the EDEN project (2008-2014), specifically all arthropod fauna, at all strata, within eight representative habitats of five islands (Santa Maria, São Miguel, Terceira, Flores and Pico). In the current report, we present the records in the following taxa; Araneae, Collembola, Coleoptera; Staphylinidae, Hymenopteran parasitoids and beneficial Coleoptera: Coccinellidae.

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、3,214 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。

Event (コア)
3214
Occurrence 
19772

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

注意してください、これは、古いバージョンのデータセットです。  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。:

Marcelino J, Borges P, Borges I, Soares A (2020): Eden Arthropod Azores Database. v1.4. Universidade dos Açores. Dataset/Samplingevent. http://ipt.gbif.pt/ipt/resource?r=eden_arthropod_database_azores&v=1.4

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。:

パブリッシャーとライセンス保持者権利者は Universidade dos Açores。 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: 5cc85d78-4313-4959-b17d-cd3dc32cc155が割り当てられています。   GBIF Portugal 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Universidade dos Açores が、このリソースをパブリッシュしました。

キーワード

Occurrence; Arthropoda; Azores; São Miguel; Terceira; Flores; Santa Maria; Pico; Island; anthropogenic impact gradient; habitat types

連絡先

José Marcelino
  • 最初のデータ採集者
  • 連絡先
Researcher
Universidade dos Açores; ce3c - Centre for Ecology, Evolution and Environmental
Rua Madre de Deus
9500-321 Ponta Delgada
Azores
PT
Paulo Borges
  • メタデータ提供者
  • データ公開者
Assistant Professor
Universidade dos Açores; ce3c - Centre for Ecology, Evolution and Environmental
Rua Capitão João d´Ávila, Pico da Urze
9700-042 Angra Do Heroismo
Azores
PT
+351968933212
Isabel Borges
  • 最初のデータ採集者
Researcher
Universidade dos Açores
Rua da Mãe de Deus
9500-321 Ponta Delgada
Azores
PT
António Soares
  • 最初のデータ採集者
Auxiliary Professor
Universidade dos Açores; ce3c - Centre for Ecology, Evolution and Environmental
Rua da Mãe de Deus
9500-321 Ponta Delgada
Azores
PT
Paulo Borges
  • メタデータ提供者
  • データ公開者
Aggregate Professor
Universidade dos Açores; ce3c - Centre for Ecology, Evolution and Environmental
Rua Capitão João d´Ávila, Pico da Urze
9700-042 Angra Do Heroismo
Azores
PT
+351968933212

地理的範囲

Azores (Portugl). Islands of Santa Maria, São Miguel, Terceira, Flores, Pico and Flores

座標(緯度経度) 南 西 [36.906, -31.311], 北 東 [39.589, -24.961]

生物分類学的範囲

Araneae, Collembola, Insecta

Class Insecta (Insects)
Order Araneae (Spiders), Collembola (Springtails)

時間的範囲

開始日 / 終了日 2009-07-20 / 2009-08-23

プロジェクトデータ

Drivers of species composition, such as anthropogenic disturbance, can significantly alter the distribution of native and introduced species. In this contribution we report biodiversity and arthropod species distribution of five islands of the Azores, under increasing anthropogenic impacted habitats. Habitat surveys included five herbaceous and four arboreal habitat types, scaling up from native to anthropogenic managed habitats. We aimed to contribute to the ongoing effort to document the terrestrial biodiversity of Portugal and given that, archipelagoes hold a significant portion of Portuguese terrestrial biodiversity. Selection of Arthropoda groups for the current report were based on their known richness and abundance in almost all terrestrial ecosystems (Arachnida, Collembola, Hemiptera, Neuroptera, Coleoptera, Hymenoptera), as well as their importance in current Integrated Pest Management and alternative Biocontrol protocols, at large (i.e., Hymenopteran parasitoids and beneficial Coleoptera). In addition, we include the list of Dermaptera, Orthoptera, Psocoptera and Thysanoptera species. These assembled groups represent part of the monitoring program EDEN Azores (2008-2014), where all Arthropod fauna, at all strata, within eight representative habitats of five islands of the Azores (Santa Maria. São Miguel, Terceira, Flores and Pico) was recorded

タイトル Species inventory of Arthropoda across anthropogenic impacted habitats in the Azores archipelago
識別子 EDEN
ファンデイング This study was finance by FLAD – Fundação Luso-Americana para o Desenvolvimento and by the Direção Regional Ciencia, Tecnologia e Comércio (DRCTC) & PROEMPREGO, of the Azores This study was financed by FEDER in 85% and by Azorean Public funds by 15% through Operational Program Azores 2020, under the following projects AZORESBIOPORTAL –PORBIOTA (ACORES-01-0145-FEDER-000072), and under the project ECO2-TUTA (ACORES-01-0145-FEDER-000081).
Study Area Description We selected the islands based on the relative proportion of land used in agriculture and pristine areas (based on published data by Costa et al. 2014), taking in consideration all possible combinations, i.e., São Miguel (SMG), with a high proportion of land allocated to pastures (61%) and a low/medium proportion of scattered native habitats (19.1%); (ii) Terceira (TER), with high proportion of land of pastures (66.9%) and a medium/high proportion of localized native habitats (21.3%); (iii) Pico (PIC), with high proportion of pastureland (50.3%) and medium/high proportion of centrally localized high altitude native habitats (35.5%); (iv) Flores (FLO), with scarce agricultural development (17.7%) and a high proportion of localized native habitats (43%); and, (v) Santa Maria /SMR), with high proportion of agricultural land (56.7%), not presently used, and a low proportion of localized native habitats (17.3%). The importance of incorporating ecological gradients, such as an anthropogenic impact gradient, in biodiversity and conservation projects, has been previously assessed. They constitute a valuable parameter to infer possible causes for the distribution of species across the landscape (Ulrich et al. 2009). We therefore selected habitats that represented a gradient of increasing anthropogenic impact and management intensity. Nine habitat types divided between herbaceous and arborescent habitats were selected to represent a comprehensive range of the flora and fauna communities. These habitats were previously statistically validated (see Marcelino et al 2013, 2014). The herbaceous habitat gradient (Table 1) ranged from pristine meadows (MED) to corn fields (COR). The arborescent habitat gradient (Table 1) ranged from natural pristine forests of Laurus azorica (NAT) to orchards of Citrus sp. (ORC). Pristine meadows were not present on Santa Maria, and semi natural pastures at low altitude (SNPL) were used as a surrogate for MED on this island.
研究の意図、目的、背景など(デザイン) In order to obtain the maximum information on arthropod biodiversity, all strata present at a given habitat type were sampled, i.e., micro epigean fauna (Berlese-Tullgren trapping), soil fauna (Pitfall trapping), aerial vagility fauna (Vaccum aspirator) and canopy fauna (sweeping nets). Two parallel transects with fifteen pitfall traps (PF) were placed in 150x150 m geo-referenced plots. PF consisted of plastic cylinder cups 78 mm deep and 42 mm diameter filled with ca. 80 ml of a mixture of 96% alcohol and 0.05% liquid detergent. PF were buried in the soil so that the lip was flush with the surface and covered with a plastic plate at ca. 3 cm high, to avoid desiccation, flooding or insectivore predation. Traps remained in the soil for 7 days prior to collection. For each habitat type, and island, two replicate sites were monitored (with a minimum distance of 5 km apart), for a total of 80 sampling sites (i.e., 2 sites x 8 habitat types per island x 5 islands) each with one transects of 15 PF. Suction (SU) and sweeping (SW) sampling followed the parallel transects previously referred for the pitfall traps (PF) and were performed concomitantly with the latter. SU and SW were done to record species at strata other than the epigeic stratum. SU was made with a handheld aspirator (Stihl BG55), collecting the arthropods in shrubs, when available. SU was made individually for ca. 8 seconds, at each of 4 quadrant of the shrub or agro-culture plant. The specimens were transferred to a single cup. SW was made using a 1.5 m plastic stick to gently beat, twice, a primary branch at each quadrant of a given tree and using as a collecting device a 64 cm diameter sweeping net. The four samples per quadrant at a given sampling plant were then transferred to a single collecting cup. Berlese-Tullgreen sampling (BT) was made by collecting ca. 100 grams soil litter per sampling unit (15 samples for each transect established at PF sampling, above described). Samples were then stored in a cooler to avoid proliferation of saprophytic fungi and sent to the Department of Biology, University of the Azores, Ponta Delgada. BT trap units consisted of two plastic darkened containers, assembled together to provide an upper vented area (14 cm diameter x 11.5 cm high) with 4 openings (1 cm diameter covered with a 0.3 x 0.3 mm diameter mesh), and coupled with a 15 W lamp on top. Thea lower collecting area (13 cm diameter x 10 cm high) and partially filled with ca. 80 ml of the same mixture used in PF. Litter samples were placed on a 1.8 x 1.8 mm mesh, attached to a plastic funnel positioned in the assembling zone between the two halves of the device. In order to avoid heat and dryness, Collembola crawl downward the littler sample and drop through the funnel into the collecting mixture. Litter samples remained for 72 h in BT before processing at laboratory facilities. One island per week was sampled during the summer 2009 (July-August). This eliminated seasonal stochastic effects. The total number of samples was 4800 [80 sampling sites x 4 different types of traps x 15 samples per site]. The samples were processed in laboratory facilities and assigned to morphospecies groups, progressing to higher taxonomic degrees of identifications. Species richness and abundance were recorded. Species accumulation curves were performed for inventory completeness using EstimateS (Colwell, 2011). Inventory completeness was 70-75% for Staphylinidae and Collembola (Marcelino et al 2011, Marcelino et al 2016), reaching 80% for Araneae and Hymenoptera parasitoids (data not published).

プロジェクトに携わる要員:

José Marcelino
  • 論文著者
Paulo Borges
  • 論文著者
Isabel Borges
  • 論文著者

収集方法

In order to obtain the maximum information on arthropod biodiversity, all strata present at a given habitat type were sampled, i.e., micro epigean fauna (Berlese-Tullgren trapping), soil fauna (Pitfall trapping), aerial vagility fauna (Vaccum aspirator) and canopy fauna (sweeping nets). Two parallel transects with fifteen pitfall traps (PF) were placed in 150x150 m geo-referenced plots. PF consisted of plastic cylinder cups 78 mm deep and 42 mm diameter filled with ca. 80 ml of a mixture of 96% alcohol and 0.05% liquid detergent. PF were buried in the soil so that the lip was flush with the surface and covered with a plastic plate at ca. 3 cm high, to avoid desiccation, flooding or insectivore predation. Traps remained in the soil for 7 days prior to collection. For each habitat type, and island, two replicate sites were monitored (with a minimum distance of 5 km apart), for a total of 80 sampling sites (i.e., 2 sites x 8 habitat types per island x 5 islands) each with one transects of 15 PF. Suction (SU) and sweeping (SW) sampling followed the parallel transects previously referred for the pitfall traps (PF) and were performed concomitantly with the latter. SU and SW were done to record species at strata other than the epigeic stratum. SU was made with a handheld aspirator (Stihl BG55), collecting the arthropods in shrubs, when available. SU was made individually for ca. 8 seconds, at each of 4 quadrant of the shrub or agro-culture plant. The specimens were transferred to a single cup. SW was made using a 1.5 m plastic stick to gently beat, twice, a primary branch at each quadrant of a given tree and using as a collecting device a 64 cm diameter sweeping net. The four samples per quadrant at a given sampling plant were then transferred to a single collecting cup. Berlese-Tullgreen sampling (BT) was made by collecting ca. 100 grams soil litter per sampling unit (15 samples for each transect established at PF sampling, above described). Samples were then stored in a cooler to avoid proliferation of saprophytic fungi and sent to the Department of Biology, University of the Azores, Ponta Delgada. BT trap units consisted of two plastic darkened containers, assembled together to provide an upper vented area (14 cm diameter x 11.5 cm high) with 4 openings (1 cm diameter covered with a 0.3 x 0.3 mm diameter mesh), and coupled with a 15 W lamp on top. Thea lower collecting area (13 cm diameter x 10 cm high) and partially filled with ca. 80 ml of the same mixture used in PF. Litter samples were placed on a 1.8 x 1.8 mm mesh, attached to a plastic funnel positioned in the assembling zone between the two halves of the device. In order to avoid heat and dryness, Collembola crawl downward the littler sample and drop through the funnel into the collecting mixture. Litter samples remained for 72 h in BT before processing at laboratory facilities. One island per week was sampled during the summer 2009 (July-August). This eliminated seasonal stochastic effects. The total number of samples was 4800 [80 sampling sites x 4 different types of traps x 15 samples per site]. The samples were processed in laboratory facilities and assigned to morphospecies groups, progressing to higher taxonomic degrees of identifications. Species richness and abundance were recorded. Species accumulation curves were performed for inventory completeness using EstimateS (Colwell, 2011). Inventory completeness was 70-75% for Staphylinidae and Collembola (Marcelino et al 2011, Marcelino et al 2016), reaching 80% for Araneae and Hymenoptera parasitoids (data not published).

Study Extent We selected the islands based on the relative proportion of land used in agriculture and pristine areas (based on published data by Costa et al. 2014), taking in consideration all possible combinations, i.e., São Miguel (SMG), with a high proportion of land allocated to pastures (61%) and a low/medium proportion of scattered native habitats (19.1%); (ii) Terceira (TER), with high proportion of land of pastures (66.9%) and a medium/high proportion of localized native habitats (21.3%); (iii) Pico (PIC), with high proportion of pastureland (50.3%) and medium/high proportion of centrally localized high altitude native habitats (35.5%); (iv) Flores (FLO), with scarce agricultural development (17.7%) and a high proportion of localized native habitats (43%); and, (v) Santa Maria /SMR), with high proportion of agricultural land (56.7%), not presently used, and a low proportion of localized native habitats (17.3%).
Quality Control Identifications were conducted in a progressive higher degree of taxonomy resolution, i.e., 1) morphospecies were generated and, concomitantly, an ongoing web-based image gallery stock was created (at www.eden-azores.webs.com). This secured consistency assigning specimens to morpho-species without duplications; 2) voucher specimens of morpho-species were sent to Dr. Paulo A. V. Borges to determine genus and species, when possible; 3) species of Collembola and Staphylinidae were genetically profiled to match genetic & morphological ID’s; 4) All voucher specimens where sent to reference taxonomists in the respective Order, family, genus or group (taxonomists listed in the Personnel section of this report), which corroborated identifications from steps 1, 2 and 3.

Method step description:

  1. See above details in Sampling description

コレクションデータ

コレクション名 EDEN -Database
コレクション識別子 EDEN
標本保存方法 Alcohol

追加のメタデータ

代替識別子 5cc85d78-4313-4959-b17d-cd3dc32cc155
http://ipt.gbif.pt/ipt/resource?r=eden_arthropod_database_azores