摘要：EU BON (Building the European Biodiversity Observation Network，EU BON)旨在為全球生物多樣性觀察網絡 (Group on Earth Observation’s Biodiversity Observation Network ，GEO BON) 建立一永續性資料庫為全球網絡之一部份。此網絡與研究方法對於建立有效率之資料收集、分析、並提供管理者資訊等程序極為重要。EU BON 將利用跨領域之國際合作，使用聯合網絡方式，以期建立從地域至全球生物多樣性觀察系統之全尺度模式，為提供生物多樣性資訊之提供者與使用者更高階的統合系統。為達此目標，EU BON提出兩個階層之相關網絡： (1) 以科學為基礎之社群網絡，其中包含並聯結實際參與生物多樣性觀察與資料收集、管理、分析、並利用之社區及團體； (2) 以資訊科技設備與系統為主之技術網絡，用以儲存、傳輸、並分配由各種機關團體所收集之資訊，並提供資料分析與解讀之討論平台(http://www.eubon.eu/show/project_2731/)。
本研究計劃主要參與 EU BON 之 WP4 Link environment to biodiversity: analyses of patterns, processes and trends (UFZ) 工作目標，其工作項目包含：
Task 4.1 Integrative analyses of distribution status and trends
Task 4.2 Status and trends in populations in relation to associated drivers
Task 4.3 Scenarios of biopersity change for a risk assessment, integrating migration and dispersal mechanisms
Task 4.4 Optimizing monitoring designs and improving their cost efficiency
Task 4.5 Quantifying uncertainty from different sources
為達成以上之項目，本計劃之主要目標為：
(1) To perform integrative analyses of distribution status and trends.
(2) To investigate status and trends in populations in relation to associated drivers.
(3) To apply scenarios of biodiversity change for a risk assessment, integrating migration, and dispersal mechanisms.
(4) To develop optimizing monitoring designs and improve their cost efficiency.
(5) To quantify uncertainty and perform uncertainty analysis from different sources.
Abstract: EU BON, Building the European Biodiversity Observation Network, presents an innovative approach towards integration of biodiversity information systems from on-ground to remote sensing data, for addressing policy and information needs in a timely and customized manner. The main objective of EU BON is to build a substantial part of the Group on Earth Observation’s Biodiversity Observation Network (GEO BON). Such a network and approach are crucial for attaining efficient processes of data collation, analysis, and provisioning to stakeholders. EU BON intends to develop a full-scale model for a durable mechanism for higher level integration of biodiversity information providers and users, through a network of networks approach scalable from local to global biodiversity observation systems. Accordingly, the two related networking levels proposed by EU BON include (1) a science-based social network which comprises and links the communities of practice engaged in collecting, managing, analyzing, and utilizing biodiversity observations and data, and (2) a technological network which interoperates IT infrastructures and systems that store and distribute information of all kinds held by multiple organizations and partners and to provide a platform for data analysis and interpretation (http://www.eubon.eu/show/project_2731/).
In collaboration with EU BON, this project focuses on the forth work package, WP4 Link environment to biodiversity: analyses of patterns, processes and trends (UFZ). In this project, we will analyze status and trends of populations and species based on point and range data, i.e. data source are hence discontinuous in space and time and projections aim at providing continuous results wherever possible. Focus will be on carefully selected taxa (e.g., Red Lists, Nature Directives, invasive species) and uncertainty analyses will be crucial in all analyses. Ultimately, we aim at cross taxa and cross realm analyses and development of GIS-based software, using data from terrestrial, freshwater and marine realms jointly, considering and integrating several organizational levels, e.g. DNA data, taxonomic data, functional trait data. The purposes of this project are:
(1) To perform integrative analyses of distribution status and trends.
(2) To investigate status and trends in populations in relation to associated drivers.
(3) To apply scenarios of biodiversity change for a risk assessment, integrating migration, and dispersal mechanisms.
(4) To develop optimizing monitoring designs and improve their cost efficiency.
(5) To quantify uncertainty and perform uncertainty analysis from different sources.
