Sampling event

Long-term monitoring of Azorean forest arthropods

最新版本 由 Universidade dos Açores 發佈於 2023年6月19日 Universidade dos Açores
發布日期:
2023年6月19日
Published by:
Universidade dos Açores
授權條款:
CC-BY 4.0

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DwC-A資料集 下載 893 紀錄 在 English 中 (708 KB) - 更新頻率: 有可能更新,但不確知何時
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說明

Since 2012 we are conducting in Azorean Islands (Portugal) native and exotic forests a long-term monitoring study named SLAM - Long Term Ecological Study of the Impacts of Climate Change in the natural forest of Azores. This long-term monitoring study is monitoring arthropods (Arthropoda), aiming to understand the impact of biodiversity erosion drivers in Azorean native forests arthropod distribution, abundance and diversity. The current dataset represents arthropods that were recorded using a total of 42 passive SLAM traps (Sea, Land and Air Malaise) deployed inside native and exotic forest fragments in seven Azorean Islands (Flores, Faial, Pico, Graciosa, Terceira São Miguel and Santa Maria). This manuscript is the fifth data-paper contribution based on data from this long-term project.

We provide data of terrestrial arthropods belonging to Arachnida (excluding Acari), Diplopoda, Chilopoda and Insecta classes (excluding Collembola, Diptera, Hymenoptera and Lepidoptera) from seven Azorean Islands during the 2012-2021 period. Data from spiders (Araneae) from the Pico and Terceira Islands is not included in this publication since this data was already published elsewhere (Costa and Borges 2021; Lhoumeau et al. 2022). We collected a total of 176007 specimens, of which 168565 (95.7%) were identified at species or subspecies level. Among these identified specimens, 106 350 (62%) were adults. For Araneae and some Hemiptera species, juveniles are also included in the data presented in this paper, since the low diversity in the Azores allows a relatively precise species-level identification of this life-stage. We recorded a total of 316 species and subspecies, belonging to 25 orders, 106 families and 260 genera. The ten most abundant species are composed mostly of endemic or native non-endemic species and only one exotic species (Ommatoiulus moreleti (Lucas, 1860)). They include 107 330 individuals (60%) of all sampled specimens and can be considered as the dominant species in the Azorean native forests for the target studied taxa. The Hemiptera order was the most abundant taxa, with 90 127 (50,4%) specimens. The Coleoptera order was the most diverse taxa with 30 (28,3%) family sampled. We registered 72 new species records (two for Flores, eight for Faial, 24 for Graciosa, 23 for Pico, eight for Terceira, three for São Miguel and four for Santa-Maria). None of them are new for the Azores archipelago. Most of the new records are introduced species, however abundance of such species is still low on the studied islands. This publication contributes to increase the baseline information for future long-term comparisons of the arthropods of the studied sites and the knowledge of the arthropod fauna of the native forests of the Azores, in terms of species abundance, distribution and diversity throughout seasons and years

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 893 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)
893
Occurrence 
14922

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本,以便利追蹤其隨時間的變更。

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。:

Borges P A V, Lhoumeau S (2023): Long-term monitoring of Azorean forest arthropods. v1.6. Universidade dos Açores. Dataset/Samplingevent. http://ipt.gbif.pt/ipt/resource?r=arthropods_slam_azores&v=1.6

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 Universidade dos Açores。 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: 079c8358-0b4f-479b-97dd-1f2f775256f9。  Universidade dos Açores 發佈此資源,並經由GBIF Portugal同意向GBIF註冊成為資料發佈者。

關鍵字

Arthropoda; Azores; Laurisilva forest; Long-term sampling; SLAM Trap; Sampling event

聯絡資訊

Paulo A. V. Borges
  • 內容提供者
  • 元數據提供者
  • 出處
  • 連絡人
Aggregate Professor
Centre for Ecology, Evolution and Environmental Changes (cE3c)/Azorean Biodiversity Group, CHANGE – Global Change and Sustainability Institute
Faculty of Agricultural Sciences and Environment, University of the Azores, Rua Capitão João d´Ávila, Pico da Urze
9700-042 Angra do Heroísmo
Azores
PT
+351968933212
Sébastien Lhoumeau
  • 出處
Researcher
Centre for Ecology, Evolution and Environmental Changes (cE3c)/Azorean Biodiversity Group, CHANGE – Global Change and Sustainability Institute
Faculty of Agricultural Sciences and Environment, University of the Azores, Rua Capitão João d´Ávila, Pico da Urze
9700-042 Angra do Heroísmo
Azores
PT
+351968933212

地理涵蓋範圍

Flores, Faial, Pico, Graciosa, Terceira São Miguel and Santa Maria (Azores)

界定座標範圍 緯度南界 經度西界 [36.844, -31.333], 緯度北界 經度東界 [39.69, -24.785]

分類群涵蓋範圍

Arachnida (excluding Acari), Diplopoda, Chilopoda and Insecta classes (excluding Collembola, Diptera, Hymenoptera and Lepidoptera

Phylum Arthropoda (Arthropods)

時間涵蓋範圍

起始日期 / 結束日期 2012-06-13 / 2022-06-16

計畫資料

Since 2012 we are conducting in Azorean Islands (Portugal) native and exotic forests a long-term monitoring study named SLAM - Long Term Ecological Study of the Impacts of Climate Change in the natural forest of Azores. This long-term monitoring study is monitoring arthropods (Arthropoda), aiming to understand the impact of biodiversity erosion drivers in Azorean native forests arthropod distribution, abundance and diversity. The current dataset represents arthropods that were recorded using a total of 42 passive SLAM traps (Sea, Land and Air Malaise) deployed inside native and exotic forest fragments in seven Azorean Islands (Flores, Faial, Pico, Graciosa, Terceira São Miguel and Santa Maria). This manuscript is the fifth data-paper contribution based on data from this long-term project

計畫名稱 SLAM - Long Term Ecological Study of the Impacts of Climate Change in the natural forest of Azores
辨識碼 SLAM - Arthropods
經費來源 A large number of students financed by the EU Programs ERASMUS and EURODYSSÉE sorted the samples prior to species assignment by one of us (PB), and we are grateful to all of them: For the period 2012-2019 – Adal Humberto Díaz Raya, Adrian Fernandez Marinez, Alba Arteaga, Alejandra Ros Prieto, Castore De Salvador, David Rodilla Rivas, Daniel Ehrhart, Elisa Tarantino, Gea Ghisolfi, Helena Marugán Páramo, Joel Martin Ay, Jonne Bonnet, Jose Vicente Pérez Santa Rita, Juan Ignacio Pitarch Peréz, Juan Manuel Taboada Alvarez, Laura Cáceres Sabater, Laura Gallardo, Magí Ramon Martorell, Maria Simitakou, Marija Tomašić, Marta Calera Sierra, Merili Martverk, Óscar García Contreras, Oscar GomezNovillo, Percy de Laminne de Bex, Reinier Vries, Riccardo Negroni, Ruben Murillo Garcia, Rui Carvalho, Rui Nunes, Sébastien Lhoumeau, Sergio Fernandez, Sophie Wallon and William Razey For the period 2019-2021 – Abrão Leite, Adrian Fernandez Marinez, Emanuela Cosma, Jonne Bonnet, Joel Martin Aye, Loïc Navarro, Magí Ramon Martorell, Marco Canino, Natalia Fierro Frerot, Sébastien Lhoumeau, Valentin Moley This manuscript was also partly financed by Portuguese FCT-NETBIOME –ISLANDBIODIV grant 0003/2011 (between 2012 and 2015), Portuguese National Funds, through FCT – Fundação para a Ciência e a Tecnologia, within the project UID/BIA/00329/2013-2020, the project from Direcção Regional do Ambiente - PRIBES (LIFE17 IPE/PT/000010) (2019),  Direcção Regional do Ambiente – LIFE-BETTLES (LIFE18 NAT_PT_000864) (2020); AZORESBIOPORTAL –PORBIOTA (ACORES-01-0145-FEDER-000072) (2019); Portal da Biodiversidade dos Açores (2022-2023) - PO Azores Project - M1.1.A/INFRAEST CIENT/001/2022 (2022); FCT-UIDB/00329/2020-2024 (Thematic Line 1 – integrated ecological assessment of environmental change on biodiversity) (2019-2022); Science and Technology Foundation (FCT) - MACRISK-Trait-based prediction of extinction risk and invasiveness for Northern Macaronesian arthropods (FCT-PTDC/BIA-CBI/0625/2021) (2022) The Natural Parks of all islands provided the necessary authorization for sampling
研究區域描述 The Azores are an isolated archipelago (38°43′49″N, 27°19′10″W), situated in the mid-Atlantic Ocean comprising nine volcanic Islands spread over 500 km in a W/NW–E/SE direction. During this project, seven Islands (Flores, Faial, Graciosa, Pico Terceira, São Miguel and Santa Maria) were surveyed within the SLAM Project. The sampling plots are mostly dominated by endemic vegetation like Juniperus brevifolia, Erica azorica, Laurus azorica and Ilex azorica, but with some evidence of invasive species like Pittosporum undulatum, Hedychium gardnerianum. For all islands, the dominant vegetation in higher elevations is the most preserved.
研究設計描述 We sampled in the Azorean Islands of Flores, Faial, Pico, Graciosa, Terceira São Miguel and Santa Maria, four times per year (around the 15th March (winter sample), 15th June (spring sample), 15th September (summer sample) and 15th December (autumn sample)

參與計畫的人員:

Paulo A. V. Borges
Sébastien Lhoumeau
  • 內容提供者

取樣方法

Passive flight interception SLAM traps (Sea, Land and Air Malaise trap) were used to sample the plots in both islands, with one trap being setup at each plot, each one being 110 x 110 x 110 cm. In this type of trap the trapped arthropods crawl up the mesh and then fall inside the sampling recipient (Borges et al, 2017). Each one is filled with propylene glycol (pure 1,2-PROPANODIOL) to kill the captured arthropods and conserve the sample between collections, enabling also the preservation of DNA for future genetic analysis. Although this protocol was developed to sample flying arthropods, by working as an extension of the tree, non-flying species such as spiders can also crawl into the trap (Borges et al, 2017), enhancing the range of groups that can be sampled by this technique. Because of this, previous studies have used these traps to analyse diversity and abundance changes in the arthropod communities in Azores pristine forest sites (Matthews et al, 2019, Borges et al, 2020). The traps samples were collected every 3 months in the studeid sites.

研究範圍 A total of forty-two 50m x 50m plots were sampled in seven of the islands from the archipelago (Flores, Faial, Pico, Graciosa, Terceira São Miguel and Santa Maria). The areas where these plots were set constitute some of the most well-preserved wet forests in these islands, having small human disturbance (Borges et al, 2017). The native forest is dominated by endemic vegetation such as Juniperus brevifolia, Erica azorica, Laurus azorica and Ilex azorica (see Borges et al, 2017 for more details). Some plots are located in mixed forest, with some exotic trees.
品質控管 All sorted specimens were identified by a taxonomical expert.

方法步驟描述:

  1. The data has been published as a Darwin Core Archive (DwC-A), which is a standardised format for sharing biodiversity data as a set of one or more data tables. The core data table (events) contains 893 records and one data table extension also exists (occurrence), with 14924 records. The extension supplies extra information about the core record.

收藏資料

蒐藏名稱 Entomoteca Dalberto Teixeira Pombo (DTP)
蒐藏編號 DTP
標本保存方法 Alcohol

引用文獻

  1. Borges, P.A.V., Pimentel, R., Carvalho, R., Nunes, R., Wallon, S. & Ros Prieto, A. (2017). Seasonal dynamics of arthropods in the humid native forests of Terceira Island (Azores). Arquipelago Life and Marine Sciences, 34: 105-122.
  2. Matthews, T., Sadler, J.P., Carvalho, R., Nunes, R. & Borges, P.A.V. (2019). Differential turnover rates and temporal beta-diversity patterns of native and non-native arthropod species in a fragmented native forest landscape. Ecography, 42: 45–54 DOI: 10.1111/ecog.03812
  3. Borges, P.A.V., Rigal, F., Ros-Prieto, A. & Cardoso, P. (2020). Increase of insular exotic arthropod diversity is a fundamental dimension of the current biodiversity crisis. Insect Conservation and Diversity, 13: 508-518 DOI: 10.1111/icad.12431
  4. Costa, R. & Borges, P.A.V. (2021). “SLAM Project - Long Term Ecological Study of the Impacts of Climate Change in the Natural Forest of Azores: I - the Spiders from Native Forests of Terceira and Pico Islands (2012-2019).” Biodiversity Data Journal 9 (September): e69924 10.3897/BDJ.9.e69924

額外的詮釋資料

替代的識別碼 079c8358-0b4f-479b-97dd-1f2f775256f9
http://ipt.gbif.pt/ipt/resource?r=arthropods_slam_azores