Borges Paulo A V, Morgado Leila N, Gabriel Rosalina, Elias Rui B, Gauche Mirana, Ah-Peng Claudine, Otto Rüdiger, de Nascimento Lea, Strasberg Dominique, Guerrero-Ramírez Nathaly, Kreft Holger, Fernández-Palacios José María
University of Azores, CE3C-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE -Global Change and Sustainability Institute, School of Agricultural and Environmental Sciences, Rua Capitão João d'Ávila, Pico da Urze, 9700-042, Angra do Heroísmo, Azores, Portugal University of Azores, CE3C-Centre for Ecology, Evolution and Environmental Changes, Azorean Biodiversity Group, CHANGE -Global Change and Sustainability Institute, School of Agricultural and Environmental Sciences, Rua Capitão João d'Ávila, Pico da Urze, 9700-042 Angra do Heroísmo, Azores Portugal.
IUCN SSC Atlantic Islands Invertebratte Specialist Group, Angra do Heroísmo, Azores, Portugal IUCN SSC Atlantic Islands Invertebratte Specialist Group Angra do Heroísmo, Azores Portugal.
Biodivers Data J. 2025 Jun 23;13:e158423. doi: 10.3897/BDJ.13.e158423. eCollection 2025.
Oceanic islands are globally recognised for their exceptional levels of biodiversity and endemism, often resulting from unique evolutionary processes in isolated environments. However, this biodiversity is also disproportionately threatened by anthropogenic pressures including habitat loss, invasive species and climate change. Targeted, long-term biodiversity monitoring is essential for detecting changes in these vulnerable ecosystems and providing information for conservation strategies.The EU BIODIVERSA + project BioMonI aims at building a global long-term monitoring network specifically tailored to the pressing needs of biodiversity conservation and monitoring on islands. In BioMonI, we use a novel approach that considers mapping previous and current monitoring schemes on islands, developing a harmonised monitoring scheme for island biodiversity and mobilising existing monitoring data. We are assembling data from BioMonI-Plot, a long-term vegetation plot network to understand biodiversity and ecosystem change. It will use baseline data from three focal archipelagos (Azores, Canary Islands and Mascarenes), but we aim to mobilise data from archipelagos worldwide.Plot-based data are a cornerstone of effective biodiversity monitoring on islands. These standardised data collections within permanent plots allow for consistent, replicable observations across temporal and spatial scales. Initiatives like the Global Island Monitoring Scheme (GIMS) highlight the value of permanent plots in capturing ecological gradients and anthropogenic disturbance patterns. Such data underpin the detection of subtle shifts in community composition, functional diversity and species distributions, which are critical for assessing the effectiveness of conservation actions and predicting future ecological scenarios.In summary, plot-based data are indispensable for targeted and effective biodiversity monitoring on islands. They provide the empirical backbone necessary to provide information for adaptive management strategies and contribute to global biodiversity targets.
The BioMonI-Plot baseline data consist of 10 plots in each of the following islands: Terceira (Azores), Tenerife (Canaries) and Réunion Island (Mascarenes). As a first step, we describe the diversity and abundance of all woody species shoots with a diameter at breast height (DBH) ≥ 1 cm in each of the 10 plots of each Island. The majority of taxa belonged to the phylum Magnoliophyta, which accounted for 96.66% of the total species and subspecies, followed by Pteridophyta (2.22%) and Pinophyta (1.11%). Réunion Island exhibited the highest species richness, with 66 identified taxa, followed by Tenerife (16 taxa) and Terceira (11 taxa). Only one species, , was shared between the islands, occurring in both Terceira and Tenerife. Most of the recorded species were classified as endemic according to their colonisation status. Specifically, 32 species were endemic to the Mascarene Islands, 22 to Réunion, nine to the Azores, eleven to Macaronesia and four to the Canary Islands.The data presented in this Data Paper provide a valuable proxy for evaluating the ecological integrity and overall habitat quality of native montane forests across three oceanic archipelagos: the Azores, Canary Islands and Mascarene Islands. By focusing on tree species as primary ecological indicators, the dataset offers insights into essential structural and compositional attributes of these ecosystems, including species richness, relative abundance and patterns of dominance.The comprehensive species-level information contained in this dataset allows for comparisons of forest composition across islands and biogeographic regions, contributing to our understanding of insular forest dynamics, endemism patterns and conservation priorities in tropical and subtropical montane environments.
海洋岛屿因其独特的生物多样性和特有性水平而在全球范围内受到认可,这通常源于孤立环境中的独特进化过程。然而,这种生物多样性也受到人为压力的不成比例威胁,包括栖息地丧失、入侵物种和气候变化。有针对性的长期生物多样性监测对于检测这些脆弱生态系统的变化并为保护策略提供信息至关重要。欧盟生物多样性+项目BioMonI旨在建立一个全球长期监测网络,专门针对岛屿生物多样性保护和监测的紧迫需求。在BioMonI中,我们采用了一种新颖的方法,即考虑绘制岛屿上以前和当前的监测方案,为岛屿生物多样性制定统一的监测方案,并调动现有的监测数据。我们正在收集来自BioMonI-Plot的数据,这是一个长期植被样地网络,以了解生物多样性和生态系统变化。它将使用来自三个重点群岛(亚速尔群岛、加那利群岛和马斯克林群岛)的基线数据,但我们的目标是调动来自全球各群岛的数据。
基于样地的数据是岛屿上有效生物多样性监测的基石。在永久样地内进行的这些标准化数据收集允许在时间和空间尺度上进行一致、可重复的观测。全球岛屿监测计划(GIMS)等倡议强调了永久样地在捕捉生态梯度和人为干扰模式方面的价值。这些数据为检测群落组成、功能多样性和物种分布的细微变化提供了基础,而这些变化对于评估保护行动的有效性和预测未来生态情景至关重要。
总之,基于样地的数据对于岛屿上有针对性和有效的生物多样性监测不可或缺。它们提供了为适应性管理策略提供信息所需的实证基础,并有助于实现全球生物多样性目标。
BioMonI-Plot基线数据包括以下各岛中每个岛的10个样地:特塞拉岛(亚速尔群岛)、特内里费岛(加那利群岛)和留尼汪岛(马斯克林群岛)。第一步,我们描述了每个岛的10个样地中胸径(DBH)≥1厘米的所有木本植物枝条的多样性和丰度。大多数分类群属于木兰植物门,占物种和亚种总数的96.66%,其次是蕨类植物门(2.22%)和松柏植物门(1.11%)。留尼汪岛的物种丰富度最高,有66个已鉴定的分类群,其次是特内里费岛(16个分类群)和特塞拉岛(11个分类群)。这些岛屿之间只有一个物种,在特塞拉岛和特内里费岛都有出现。根据其定殖状态,大多数记录的物种被归类为特有种。具体而言,32个物种是马斯克林群岛特有种,22个是留尼汪岛特有种,9个是亚速尔群岛特有种,11个是马卡罗尼西亚特有种,4个是加那利群岛特有种。
本数据论文中呈现的数据为评估亚速尔群岛、加那利群岛和马斯克林群岛这三个海洋群岛上原生山地森林的生态完整性和总体栖息地质量提供了有价值的代理指标。通过将树木物种作为主要生态指标,该数据集提供了对这些生态系统基本结构和组成属性的见解,包括物种丰富度、相对丰度和优势模式。
该数据集中包含的全面物种水平信息允许对各岛屿和生物地理区域的森林组成进行比较,有助于我们了解热带和亚热带山地环境中的岛屿森林动态、特有性模式和保护重点。