Université Paris-Saclay, CNRS, AgroParisTech, Ecologie Systématique Evolution, 91405, Orsay, France.
Unité Biologie des Organismes et Ecosystèmes Aquatiques (BOREA, UMR 7208), Muséum national d'Histoire naturelle, Sorbonne Université, Université de Caen Normandie, CNRS, IRD, Université des Antilles, Paris, France.
Sci Data. 2020 Sep 8;7(1):277. doi: 10.1038/s41597-020-00586-z.
Biological invasions are responsible for tremendous impacts globally, including huge economic losses and management expenditures. Efficiently mitigating this major driver of global change requires the improvement of public awareness and policy regarding its substantial impacts on our socio-ecosystems. One option to contribute to this overall objective is to inform people on the economic costs linked to these impacts; however, until now, a reliable synthesis of invasion costs has never been produced at a global scale. Here, we introduce InvaCost as the most up-to-date, comprehensive, harmonised and robust compilation and description of economic cost estimates associated with biological invasions worldwide. We have developed a systematic, standardised methodology to collect information from peer-reviewed articles and grey literature, while ensuring data validity and method repeatability for further transparent inputs. Our manuscript presents the methodology and tools used to build and populate this living and publicly available database. InvaCost provides an essential basis (2419 cost estimates currently compiled) for worldwide research, management efforts and, ultimately, for data-driven and evidence-based policymaking.
生物入侵在全球范围内造成了巨大的影响,包括巨大的经济损失和管理支出。为了有效缓解这一全球变化的主要驱动因素,需要提高公众对其对我们社会-生态系统的重大影响的认识,并制定相关政策。为此,可以选择向人们通报与这些影响相关的经济成本;然而,迄今为止,从未在全球范围内对入侵成本进行过可靠的综合分析。在这里,我们引入了 InvaCost,这是一个最新、最全面、最协调和最稳健的全球生物入侵经济成本估算的汇编和描述。我们开发了一种系统的、标准化的方法来从同行评议的文章和灰色文献中收集信息,同时确保数据的有效性和方法的可重复性,以便进行进一步的透明输入。我们的论文介绍了构建和填充这个不断发展和公开可用的数据库所使用的方法和工具。InvaCost 为全球范围内的研究、管理工作以及最终的数据驱动和基于证据的决策制定提供了一个重要的基础(目前已编制了 2419 项成本估算)。