MEDIS - 用于生物地理学和进化研究的地中海岛屿综合空间数据库

IF 6.3 1区 环境科学与生态学 Q1 ECOLOGY Global Ecology and Biogeography Pub Date : 2024-05-03 DOI:10.1111/geb.13855
Francesco Santi, Riccardo Testolin, Piero Zannini, Michele Di Musciano, Virginia Micci, Lorenzo Ricci, Riccardo Guarino, Gianluigi Bacchetta, José María Fernández-Palacios, Mauro Fois, Konstantinos Kougioumoutzis, Kadir Boğaç Kunt, Federico Lucchi, Frédéric Médail, Toni Nikolić, Rüdiger Otto, Salvatore Pasta, Maria Panitsa, Konstantinos Proios, Spyros Sfenthourakis, Stylianos M. Simaiakis, Claudio A. Tranne, Kostas A. Triantis, Alessandro Chiarucci
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引用次数: 0

摘要

动机岛屿的固有特征使其成为研究生态和进化动态的独特研究系统。地中海盆地是一个岛屿众多、生物多样性丰富的热点地区,但仍然缺乏一个全面的空间数据库来记录这些地理特征。本研究首次为所有面积大于 0.01 平方公里的地中海岛屿提供了全面的空间数据库,有助于生态调查和跨学科研究。包含的主要变量类型MEDIS 空间数据库提供了 39 个地理、气候、生态和土地利用变量的详细信息,包括岛屿面积、周长、孤立度量、气候空间、地形数据、土地覆盖、古地理、道路网络和地质信息,从多方面展示了每个岛屿的特征。 空间位置和粒度该研究涵盖了地中海盆地中面积大于 0.01 平方公里的 2217 个岛屿。选定变量所依据的数据集的空间粒度从 10 米(ESA WorldCover)到 1 千米(CHELSA-BIOCLIM+)不等。时间段和粒度该空间数据库包含来自不同来源的数据,每个来源都有自己的时间框架,例如来自 2014 年 Landsat 图像的全球海岸线矢量和来自 2021 年的 WorldCover 数据集。主要分类群和测量水平这项研究虽然没有关注特定的分类群,但为地中海岛屿的综合研究奠定了基础,有助于对本地、特有或外来物种的分布进行比较和调查。测量水平非常广泛,包括各种变量,并提供多边形特征而非中心点坐标。
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MEDIS—A comprehensive spatial database on Mediterranean islands for biogeographical and evolutionary research

Motivation

The intrinsic characteristics of islands make them a unique study system for the investigation of ecological and evolutionary dynamics. The Mediterranean Basin, an island-rich biodiversity hotspot, still lacks a comprehensive spatial database for these geographic features. This study presents the first comprehensive spatial database of all Mediterranean islands larger than 0.01 km2, aiding ecological investigations and interdisciplinary research.

Main types of variable contained

The MEDIS spatial database offers detailed information on 39 geographic, climatic, ecological and land-use variables, including island area, perimeter, isolation metrics, climatic space, terrain data, land cover, palaeogeography, road networks and geological information, providing a multifaceted view of each island's characteristics.

Spatial location and grain

The study encompasses 2217 islands in the Mediterranean Basin larger than 0.01 km2. The spatial grain of the datasets on which the selected variables are based varies from 10 m (ESA WorldCover) to 1 km (CHELSA-BIOCLIM+).

Time period and grain

The spatial database incorporates data from various sources, each with its own timeframe, such as the Global Shoreline Vector from 2014 Landsat imagery and the WorldCover dataset from 2021. Historical data like the Paleocoastlines GIS dataset offer insights into island configurations during the Last Glacial Maximum.

Major taxa and level of measurement

While not focusing on specific taxa, the study lays the foundation for comprehensive research on Mediterranean islands, facilitating comparisons and investigations into the distribution of native, endemic or alien species. The level of measurement is extensive, encompassing a wide range of variables and providing polygonal features rather than centroids' coordinates.

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来源期刊
Global Ecology and Biogeography
Global Ecology and Biogeography 环境科学-生态学
CiteScore
12.10
自引率
3.10%
发文量
170
审稿时长
3 months
期刊介绍: Global Ecology and Biogeography (GEB) welcomes papers that investigate broad-scale (in space, time and/or taxonomy), general patterns in the organization of ecological systems and assemblages, and the processes that underlie them. In particular, GEB welcomes studies that use macroecological methods, comparative analyses, meta-analyses, reviews, spatial analyses and modelling to arrive at general, conceptual conclusions. Studies in GEB need not be global in spatial extent, but the conclusions and implications of the study must be relevant to ecologists and biogeographers globally, rather than being limited to local areas, or specific taxa. Similarly, GEB is not limited to spatial studies; we are equally interested in the general patterns of nature through time, among taxa (e.g., body sizes, dispersal abilities), through the course of evolution, etc. Further, GEB welcomes papers that investigate general impacts of human activities on ecological systems in accordance with the above criteria.
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