当前位置: X-MOL 学术Environ. Evid. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
What evidence exists on the impacts of chemicals arising from human activity on tropical reef-building corals? A systematic map protocol
Environmental Evidence ( IF 3.4 ) Pub Date : 2020-09-03 , DOI: 10.1186/s13750-020-00203-x
Dakis-Yaoba Ouédraogo , Romain Sordello , Sophie Brugneaux , Karen Burga , Christophe Calvayrac , Magalie Castelin , Isabelle Domart-Coulon , Christine Ferrier-Pagès , Mireille M. M. Guillaume , Laetitia Hédouin , Pascale Joannot , Olivier Perceval , Yorick Reyjol

Tropical coral reefs cover ca. 0.1% of the Earth’s surface but host an outstanding biodiversity and provide important ecosystem services to millions of people living nearby. However, they are currently threatened by both local (e.g. nutrient enrichment and chemical pollution of coastal reefs, arising from poor land management, agriculture and industry) and global stressors (mainly seawater warming and acidification, i.e. climate change). Global and local stressors interact together in different ways, but the presence of one stressor often reduces the tolerance to additional stress. While global stressors cannot be halted by local actions, local stressors can be reduced through ecosystem management, therefore minimizing the impact of climate change on reefs. To inform decision-makers, we propose here to systematically map the evidence of impacts of chemicals arising from anthropogenic activities on tropical reef-building corals, which are the main engineer species of reef ecosystems. We aim to identify the combinations of chemical and coral responses that have attracted the most attention and for which evidence can be further summarized in a systematic review that will give practical information to decision-makers. The systematic map will follow the Collaboration for Environmental Evidence Guidelines and Standards for Evidence Synthesis in Environmental Management. We will search the relevant literature using English terms combined in a tested search string in two publication databases (Web Of Science Core Collection and Scopus). The search string will combine terms describing the population (tropical reef-building corals) and the exposure (chemicals). We will supplement this literature with some more obtained through search engines, specialist websites, and through a call to local stakeholders. Titles, abstracts, and full-texts will then be successively screened using pre-defined eligibility criteria. A list of pre-defined variables will then be extracted from full-texts. Finally, a database of all studies included in the map with coded metadata will be produced. The evidence will be described in a map report with text, figures and tables, and a matrix showing the distribution and frequency of included study into types of exposure and types of outcomes will be computed to identify potential knowledge gaps and knowledge clusters.

中文翻译:

关于人类活动产生的化学物质对建造热带礁石珊瑚的影响,存在哪些证据?系统的地图协议

热带珊瑚礁覆盖约。占地球表面的0.1%,但拥有杰出的生物多样性,并为附近的数百万人提供了重要的生态系统服务。但是,它们目前既受到当地的威胁(例如,由于土地管理,农业和工业经营不善引起的沿海礁石的营养富集和化学污染),也受到全球压力源(主要是海水变暖和酸化,即气候变化)的威胁。全局和局部压力源以不同的方式相互作用,但是一个压力源的存在通常会降低对其他压力的承受能力。尽管全球压力源无法通过当地行动来制止,但可以通过生态系统管理来减少本地压力源,从而将气候变化对珊瑚礁的影响降至最低。为了通知决策者,我们在这里建议系统地绘制人为活动产生的化学物质对热带珊瑚礁珊瑚的影响的证据,热带珊瑚礁是珊瑚礁生态系统的主要工程物种。我们旨在确定引起人们最多关注的化学反应和珊瑚反应的组合,并且可以在系统的综述中进一步总结证据,从而为决策者提供实用的信息。系统地图将遵循《环境证据合作指南》和《环境管理中证据综合标准》。我们将在两个出版物数据库(Web Of Science Core Collection和Scopus)中使用经过测试的搜索字符串中的英语术语来搜索相关文献。搜索字符串将结合描述种群(热带珊瑚礁珊瑚)和暴露(化学物质)的术语。我们将通过搜索引擎,专业网站以及致电当地利益相关者获得的更多信息来补充这些文献。然后,将使用预定义的资格标准依次筛选标题,摘要和全文。然后将从全文中提取预定义变量的列表。最终,将创建一个包含地图中包含的带有编码元数据的所有研究的数据库。证据将在地图报告中以文本,图形和表格进行描述,矩阵将显示纳入研究的分布和频率,包括暴露类型和成果类型,以识别潜在的知识差距和知识群。我们将通过搜索引擎,专业网站以及致电当地利益相关者获得的更多信息来补充这些文献。然后,将使用预定义的资格标准依次筛选标题,摘要和全文。然后将从全文中提取预定义变量的列表。最终,将创建一个包含地图中包含的带有编码元数据的所有研究的数据库。证据将在地图报告中以文本,图形和表格进行描述,矩阵将显示纳入研究的分布和频率,包括暴露类型和成果类型,以识别潜在的知识差距和知识群。我们将通过搜索引擎,专业网站以及致电当地利益相关者获得的更多信息来补充这些文献。然后,将使用预定义的资格标准依次筛选标题,摘要和全文。然后将从全文中提取预定义变量的列表。最终,将创建一个包含地图中包含的带有编码元数据的所有研究的数据库。证据将在地图报告中以文本,图形和表格进行描述,矩阵将显示纳入研究的分布和频率,包括暴露类型和成果类型,以识别潜在的知识差距和知识群。然后将使用预定义的资格标准依次筛选全文。然后将从全文中提取预定义变量的列表。最终,将创建一个包含地图中包含的带有编码元数据的所有研究的数据库。证据将在地图报告中以文本,图形和表格进行描述,矩阵将显示纳入研究的分布和频率,包括暴露类型和成果类型,以识别潜在的知识差距和知识群。然后将使用预定义的资格标准对全文进行连续筛选。然后将从全文中提取预定义变量的列表。最后,将产生一个包含图谱中包含的所有研究的数据库,其中包含编码的元数据。证据将在地图报告中以文本,图形和表格进行描述,矩阵将显示纳入研究的分布和频率,包括暴露类型和成果类型,以识别潜在的知识差距和知识群。
更新日期:2020-09-03
down
wechat
bug