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
{"title":"MEDIS—A comprehensive spatial database on Mediterranean islands for biogeographical and evolutionary research","authors":"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","doi":"10.1111/geb.13855","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Motivation</h3>\n \n <p>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 km<sup>2</sup>, aiding ecological investigations and interdisciplinary research.</p>\n </section>\n \n <section>\n \n <h3> Main types of variable contained</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Spatial location and grain</h3>\n \n <p>The study encompasses 2217 islands in the Mediterranean Basin larger than 0.01 km<sup>2</sup>. The spatial grain of the datasets on which the selected variables are based varies from 10 m (ESA WorldCover) to 1 km (CHELSA-BIOCLIM+).</p>\n </section>\n \n <section>\n \n <h3> Time period and grain</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Major taxa and level of measurement</h3>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":176,"journal":{"name":"Global Ecology and Biogeography","volume":"33 8","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Ecology and Biogeography","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/geb.13855","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.