葡萄牙亚速尔群岛Terceira岛原生和外来森林节肢动物群落的垂直分布。

IF 1 4区 环境科学与生态学 Q3 BIODIVERSITY CONSERVATION
Biodiversity Data Journal Pub Date : 2025-05-20 eCollection Date: 2025-01-01 DOI:10.3897/BDJ.13.e154240
Sébastien Lhoumeau, Abrão Leite, Laurine Parmentier, Clémence Massard, Martha Vounatsi, Georgery Lucie, Paulo A V Borges
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引用次数: 0

摘要

背景:在2024年夏天,在葡萄牙亚速尔群岛的特塞拉岛进行了一项研究,旨在描述本地和外来森林生态系统中节肢动物的垂直多样性和空间分布模式。这项研究是一项更广泛的研究计划的一部分,该计划旨在调查栖息地结构的变化如何影响亚速尔森林栖息地节肢动物食物网的复杂性和稳定性。通过系统地对多个垂直地层(从森林地面到树冠层)的节肢动物进行采样,该研究旨在对控制生物多样性模式和物种相互作用的生态动态产生详细的见解。监测结果将有助于了解森林组成和管理策略的生态影响,最终为保护规划和栖息地恢复工作提供信息,旨在保护岛屿生态系统中节肢动物的多样性和生态弹性。新信息:目前的数据集包括使用SLAM (Sea, Land and Air Malaise)陷阱和Pitfall陷阱在不同森林地层中收集的已识别的陆生节肢动物。共采集蜘蛛纲、双足纲、七足纲和昆虫纲标本32797件。在蜘蛛目、半翅目等分类群上鉴定出成虫12,745只,幼虫5,627只,在种或亚种水平上鉴定出18372只(56%)。结果数据集包括150种和11个亚种,分布于21目81科148属。半翅目是最丰富的目,共有记录标本7697个;鞘翅目是分类多样性最高的目,包括19个科,50个种和亚种。十个最丰富的物种主要包括地方性和本地非地方性物种,其中发现了两个外来物种。这一综合数据集对亚速尔节肢动物多样性的现有基线知识起到了重要的增强作用,从而促进了未来长期生态比较的制定。它为亚速尔群岛原生森林和外来森林中物种丰富度的垂直分布提供了宝贵的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vertical distribution of arthropod assemblages in native and exotic forests of Terceira Island (Azores, Portugal).

Background: In the summer of 2024, a study was conducted on Terceira Island in the Azores Archipelago, Portugal, aiming to characterise the vertical diversity and spatial distribution patterns of arthropods within native and exotic forest ecosystems. This study forms part of a broader research initiative designed to investigate how alterations in habitat structure influence the complexity and stability of arthropod food webs in Azorean forest habitats. By systematically sampling arthropods across multiple vertical strata -from forest floor to canopy the study aimed to generate detailed insights into the ecological dynamics governing biodiversity patterns and species interactions. Results from this monitoring will contribute significantly to understanding the ecological impacts of forest composition and management strategies, ultimately providing information for conservation planning and habitat restoration efforts aimed at preserving arthropod diversity and ecological resilience in island ecosystems.

New information: The current dataset comprises identified terrestrial arthropods collected using SLAM (Sea, Land and Air Malaise) traps and Pitfall traps across diverse forest strata. A total of 32,797 specimens were collected from the Arachnida, Diplopoda, Chilopoda and Insecta classes. A total of 18,372 (56%) were identified at the species or subspecies level, including 12,745 adults and 5,627 juveniles for taxa, such as Araneae and Hemiptera due to the availability of reliable identification methods. The resulting dataset encompasses 150 species and 11 subspecies, distributed across 21 orders, 81 families and 148 genera.Hemiptera emerged as the most abundant identified order, with a total of 7,697 recorded specimens and Coleoptera stood as the most taxonomically diverse, encompassing 19 distinct families and 50 species and sub-species. The ten most abundant species comprise predominantly endemic and native non-endemic species, with two exotic species detected amongst them.This comprehensive dataset serves as a significant augmentation of the existing baseline knowledge concerning the diversity of Azorean arthropods, thereby facilitating the formulation of future long-term ecological comparisons. It offers valuable insights into the vertical distribution of species abundance within both native and exotic forests of the Azores.

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来源期刊
Biodiversity Data Journal
Biodiversity Data Journal Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
2.20
自引率
7.70%
发文量
283
审稿时长
6 weeks
期刊介绍: Biodiversity Data Journal (BDJ) is a community peer-reviewed, open-access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – will be treated and stored as DATA, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers. The journal will publish papers in biodiversity science containing taxonomic, floristic/faunistic, morphological, genomic, phylogenetic, ecological or environmental data on any taxon of any geological age from any part of the world with no lower or upper limit to manuscript size.
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