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Digitization TCN Collaborative Research: North American Lichens and Bryophytes: Sensitive Indicators of Environmental Quality and Change

Digitization TCN Collaborative Research: North American Lichens and Bryophytes: Sensitive Indicators of Environmental Quality and Change
数字化 TCN 合作研究:北美地衣和苔藓植物:环境质量和变化的敏感指标
批准号:
1115001
负责人:
Francois Lutzoni
金额:
$29.21万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-07-01 至 2016-06-30

项目摘要

项目成果

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中文摘要
翻译
地衣和苔藓具有共同的生物学特性,使它们成为环境变化的最敏感指标。该项目的目标是提供高质量的数据,以解决物种分布如何随着时间和空间的重大环境事件而变化。具体而言,该项目将为北美地衣和苔藓植物标本馆中约230万份生物标本提供标签信息(收集的内容、时间、地点和人员)和图像。这些标本占加拿大、美国和墨西哥所有标本的90%以上,由60多个美国非政府机构保存。新的联机数字化技术将在http://symbiota.org/nalichens/和http://symbiota.org/branites/上提供,并将使感兴趣的公众能够参与进来,与专业人员一起了解生物多样性,几乎整个北美branitte和地衣收藏品的联机提供将通过促进专业人员和公众之间的合作,大大加速对这些生物的生物多样性的认识和评价。此外,从这些数字化数据开发的模型将有助于未来大规模物种分布的绘图预测和确定生物多样性热点作为保护的主要候选者。这些努力将有助于阐明即将发生变化并可能产生重大影响的地区,并促进采取积极主动的举措来缓解这些变化。该奖项是作为国家资源的一部分,通过推进生物收藏品数字化计划,从这个奖项产生的所有数据将通过国家资源。
英文摘要
Lichens and bryophytes share biological traits that make them some of the most sensitive indicators of environmental change. The goal of this project is to provide high quality data to address how species distributions change as a result of major environmental events across time and space. Specifically, this project will digitize the label information (the what, when, where and by whom collected) and images for approximately 2.3 million biological specimens curated in North American lichen and bryophyte herbaria. These collections represent well over 90% of all specimens collected in Canada, the United States and Mexico and held by over 60 US non-governmental institutions. New, on-line digitization techniques will be made publically available at at http://symbiota.org/nalichens/ and http://symbiota.org/bryophytes/, and will allow interested members of the public to be involved and learn about biodiversity alongside the professionals.Availability of nearly the entire North American bryophyte and lichen collections on-line will greatly accelerate knowledge and evaluation of the biodiversity of these organisms by fostering collaborations between professionals and the general public. Additionally, models developed from these digitized data will aid future mapping projections of large scale species distributions and identification of biodiversity hotspots as prime candidates for protection. These endeavors will help to elucidate regions where changes are imminent and likely to have substantial impact, as well as to facilitate proactive initiatives to alleviate such changes. This award is made as part of the National Resource for Digitization of Biological Collections through the Advancing Digitization of Biological Collections program and all data resulting from this award will be available through the national resource.
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