Collaborative Research: ABI Development: Transforming Biodiversity Analysis with Landscapes, Automation, and Provenance

合作研究:ABI 开发:通过景观、自动化和来源转变生物多样性分析

基本信息

  • 批准号:
    1356707
  • 负责人:
  • 金额:
    $ 17.48万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-07-01 至 2018-06-30
  • 项目状态:
    已结题

项目摘要

Where wild species live, and why, are basic questions for researchers who study biogeography. Understanding the geographical patterns of plant and animal species' ranges reveals much about the ecology of a species and its preferred habitat and climate. Knowing where the ranges of multiple species overlap and where "hot spots" of high species diversity exist, help to explain larger geographic and evolutionary factors which have influenced or determined modern day species occurrence patterns as well as species composition of natural communities. The Lifemapper Project maintains a species distribution database and publishes online maps documenting the occurrence of Earth's terrestrial species. The Lifemapper Project also creates models of the potential distribution of species based on correlations with present day or predicted future climates.A goal of this project is to make computer generated models of species distributions (based on natural history museum specimen data) more realistic by including in research and computational methods, the properties of the landscapes. Landscape features influence species preferred habitat choice and also can present barriers to species migration into new areas. For example very small patches of preferred habitat may not be large enough to support a population of a species, or even adequate to support its temporary use as a migration path to other preferred habitat locations. A second project objective will transform research practices associated with biodiversity pattern modeling by automating the creation and assembly of multi-species data sets, for different climate scenarios, which will greatly accelerate research on global biodiversity patterns. Third, this project will create internet software tools which allow species occurrence data providers such as natural history museums, biological specimen repositories, and citizen scientists who observe species, to track how their species occurrence data is being used in biodiversity models. This data usage feedback information will be useful for U.S. providers of species information to evaluate the utility and document the re-use of their curated species data. Knowledge of patterns of biological diversity are often used to support conservation decisions and policy. Modeling the potential impact of climate change on species diversity of natural plant and animal communities is important for understanding potential future patterns and changes to species diversity in the U.S. and globally. Sustaining the biological diversity is an important factor in our ability to maintain healthy natural ecosystems and their services to human society, as well as to sustain wild sources of genetic diversity for deriving new crops, crop traits, and human medicines. MOre information can be found at: http://www.lifemapper.org
野生物种生活在哪里以及为什么生活,是研究生物地理学的研究人员的基本问题。了解植物和动物物种分布范围的地理模式可以揭示有关物种的生态及其偏好的栖息地和气候的很多信息。 了解多个物种的范围重叠的地方以及高物种多样性的“热点”存在的地方,有助于解释影响或决定现代物种出现模式以及自然群落物种组成的更大的地理和进化因素。 Lifemapper 项目维护着一个物种分布数据库,并发布记录地球陆地物种出现情况的在线地图。 Lifemapper 项目还根据与当前或预测的未来气候的相关性创建物种潜在分布的模型。该项目的目标是通过在研究和计算方法中纳入景观特性,使计算机生成的物种分布模型(基于自然历史博物馆标本数据)更加真实。景观特征影响物种偏好的栖息地选择,也可能对物种迁移到新地区构成障碍。例如,非常小的首选栖息地斑块可能不足以支持一个物种的种群,甚至不足以支持其临时用作到其他首选栖息地位置的迁徙路径。 第二个项目目标将通过针对不同气候情景自动创建和组装多物种数据集,改变与生物多样性模式建模相关的研究实践,这将大大加速对全球生物多样性模式的研究。第三,该项目将创建互联网软件工具,使物种发生数据提供者(例如自然历史博物馆、生物标本库和观察物种的公民科学家)能够跟踪其物种发生数据如何在生物多样性模型中使用。该数据使用反馈信息将有助于美国物种信息提供者评估效用并记录其精选物种数据的重复使用。关于生物多样性模式的知识通常用于支持保护决策和政策。模拟气候变化对自然动植物群落物种多样性的潜在影响对于了解美国和全球物种多样性的未来潜在模式和变化非常重要。维持生物多样性是我们维持健康的自然生态系统及其对人类社会服务的能力的重要因素,也是维持野生遗传多样性来源以衍生新作物、作物性状和人类药物的重要因素。更多信息请访问:http://www.lifemapper.org

项目成果

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Deana Pennington其他文献

Introduction to the special issue: negotiating boundaries: effective leadership of interdisciplinary environmental and sustainability programs
  • DOI:
    10.1007/s13412-015-0357-2
  • 发表时间:
    2016-02-01
  • 期刊:
  • 影响因子:
    2.300
  • 作者:
    David Gosselin;Shirley Vincent;Chris Boone;Antje Danielson;Rod Parnell;Deana Pennington
  • 通讯作者:
    Deana Pennington

Deana Pennington的其他文献

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{{ truncateString('Deana Pennington', 18)}}的其他基金

Collaborative Research: NRT-IGE: Employing Model-Based Reasoning in Environmental Science (EMBeRS)
合作研究:NRT-IGE:在环境科学中采用基于模型的推理 (EMBeRS)
  • 批准号:
    1545404
  • 财政年份:
    2015
  • 资助金额:
    $ 17.48万
  • 项目类别:
    Standard Grant
Collaborative Research: CI-Team Diff: The Virtual Learning Commons: STEM Research Communities Learning about Data Management, Geospatial Informatics, and Scientific Visualization
协作研究:CI-Team Diff:虚拟学习共享空间:STEM 研究社区学习数据管理、地理空间信息学和科学可视化
  • 批准号:
    1135525
  • 财政年份:
    2011
  • 资助金额:
    $ 17.48万
  • 项目类别:
    Standard Grant
CI-TEAM Implementation Project: Collaborative Research: Advancing cyberinfrastructure-based Science Through Education, Training, and Mentoring of Science Communities
CI-TEAM 实施项目:协作研究:通过科学界的教育、培训和指导推进基于网络基础设施的科学
  • 批准号:
    0753336
  • 财政年份:
    2008
  • 资助金额:
    $ 17.48万
  • 项目类别:
    Standard Grant
CI-TEAM Demonstration Project: Advancing Cyberinfrastructure-based Science through Education, Training, and Mentoring of Science Communities
CI-TEAM 示范项目:通过科学界的教育、培训和指导推进基于网络基础设施的科学
  • 批准号:
    0636317
  • 财政年份:
    2006
  • 资助金额:
    $ 17.48万
  • 项目类别:
    Standard Grant

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