此資源出現紀錄的資料已發佈為達爾文核心集檔案（DwC-A），其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 42,776 筆紀錄。

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本，以便利追蹤其隨時間的變更。

下載最新版本的 Darwin Core Archive (DwC-A) 資源，或資源詮釋資料的 EML 或 RTF 文字檔。

以下的表格只顯示可公開存取資源的已發布版本。

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 NeoBiota。 To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

此資源已向GBIF註冊，並指定以下之GBIF UUID: 9f51fefe-3943-4d39-8939-dfe3d95db1f0。  NeoBiota 發佈此資源，並經由Participant Node Managers Committee同意向GBIF註冊成為資料發佈者。

Occurrence; plant; alien; Romania; species; records; invasive; Observation

The database include 102 alien plant species from Romania, Europe.

無相關描述

Biological invasions are one of the main drivers of modern human-induced species losses. Management of alien species requires strong transnational policy instruments and effective enforcement from states. EU Member states are required, to map the distribution of alien species of EU concern on their territory, to elaborate and implement actions plans on the pathways for introductions, to put in place an early detection and rapid eradication system, and to implement management measures. To help implementing biodiversity policies at a national-level scale, we propose an innovative spatial prioritization framework for detecting areas with high risk of invasiveness while accounting for bias in mapping alien species diversity through species distribution modeling under climate change scenarios, ecological and social sensitivity of invaded areas, and cost restrictions. To demonstrate our spatial planning approach, we will use alien plant species distribution data. Plant species being among the most problematic invaders due to their dispersal abilities. The main results will be represented by alien plant species distribution models in Romania for present and future projections and maps of high risk of invasiveness. The output of the project will be a flexible and adaptive framework for spatial prioritization of management activities aiming at eradicating or containment of alien species, useful for alien plant species management in Romania.

參與計畫的人員:

Information regarding the occurrence records of alien plant species included in the database was extracted from 1174 published documents.

方法步驟描述:

1. Information regarding the occurrence records of alien plant species included in the database was extracted from 1174 published documents. The species taxonomy considered in the present paper is based on GBIF Backbone Taxonomy. The introduction pathways were standardized based on the main categories described in the Convention on Biological Diversity. Georeferenced data were transferred to ArcGIS 10.3 and visually inspected for errors. For the analysis were performed in ArcGIS 10.3 and R 4.2.0.