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首页> 外文期刊>The Science of the Total Environment >Reimagining the potential of Earth observations for ecosystem service assessments
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Reimagining the potential of Earth observations for ecosystem service assessments

机译：恢复对生态系统服务评估的地球观测的潜力

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摘要

The benefits nature provides to people, called ecosystem services, are increasingly recognized and accounted for in assessments of infrastructure development, agricultural management, conservation prioritization, and sustainable sourcing. These assessments are often limited by data, however, a gap with tremendous potential to be filled through Earth observations (EO), which produce a variety of data across spatial and temporal extents and resolutions. Despite widespread recognition of this potential, in practice few ecosystem service studies use EO. Here, we identify challenges and opportunities to using EO in ecosystem service modeling and assessment. Some challenges are technical, related to data awareness, processing, and access. These challenges require systematic investment in model platforms and data management. Other challenges are more conceptual but still systemic; they are byproducts of the structure of existing ecosystem service models and addressing them requires scientific investment in solutions and tools applicable to a wide range of models and approaches. We also highlight new ways in which EO can be leveraged for ecosystem service assessments, identifying promising new areas of research. More widespread use of EO for ecosystem service assessment will only be achieved if all of these types of challenges are addressed. This will require non-traditional funding and partnering opportunities from private and public agencies to promote data exploration, sharing, and archiving. Investing in this integration will be reflected in better and more accurate ecosystem service assessments worldwide. (c) 2019 The Authors. Published by Elsevier B.V.
机译：在基础设施发展，农业管理，保护优先级和可持续采购的评估中，越来越认识和占人士的好处。这些评估通常受到数据的限制，然而，通过地球观测（EO）填充的巨大潜力的差距，它在空间和时间范围内产生各种数据。尽管普遍识别了这一潜力，但在实践中，很少有生态系统服务研究使用EO。在这里，我们确定使用EO在生态系统服务建模和评估中使用EO的挑战和机会。一些挑战是技术性的，与数据意识，处理和访问有关。这些挑战需要系统地投资模型平台和数据管理。其他挑战更加概念，但仍然是系统性的;它们是现有生态系统服务模型结构的副产品，并解决它们需要科学投资，这些解决方案和工具适用于各种模型和方法。我们还突出了新的方式，可以利用EO进行生态​​系统服务评估，确定有前途的研究领域。只有在解决了所有这些类型的挑战，才能更广泛地使用EO进行生态​​系统服务评估。这将需要非传统资金和私营机构的合作机会，促进数据探索，共享和归档。投资这种整合将反映在全球更好，更准确的生态系统服务评估中。 （c）2019年作者。由elsevier b.v出版。

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  • 来源
    《The Science of the Total Environment》 |2019年第may15期|1053-1063|共11页
  • 作者

    Ramirez-Reyes Carlos; Brauman Kate A.; Chaplin-Kramer Rebecca; Galford Gillian L.; Adamo Susana B.; Anderson Christopher B.; Anderson Clarissa; Allington Ginger R. H.; Bagstad Kenneth J.; Coe Michael T.; Cord Anna F.; Dee Laura E.; Gould Rachelle K.; Jain Meha; Kowal Virginia A.; Muller-Karger Frank E.; Norriss Jessica; Potapov Peter; Qiu Jiangxiao; Rieb Jesse T.; Robinson Brian E.; Samberg Leah H.; Singh Nagendra; Szeto Sabrina H.; Voigt Brain; Watson Keri; Wright T. Maxwell;

  • 作者单位

    Univ Minnesota Inst Environm 325 Learning & Environm Sci 1954 Buford Ave St Paul MN 55108 USA;

    Univ Minnesota Inst Environm 325 Learning & Environm Sci 1954 Buford Ave St Paul MN 55108 USA;

    Stanford Univ Nat Capital Project Woods Inst Environm 371 Serra Mall Stanford CA 94305 USA;

    Univ Vermont Gund Inst Environm 617 Main St Burlington VT 05405 USA|Univ Vermont Rubenstein Sch Environm & Nat Resources 617 Main St Burlington VT 05405 USA;

    Columbia Univ CIESIN Earth Inst 61 Route 9W Palisades NY 10964 USA;

    Stanford Univ Dept Biol 371 Serra Mall Stanford CA 94305 USA;

    Scripps Inst Oceanog 8880 Biol Grade La Jolla CA 92093 USA;

    George Washington Univ Dept Geog 2121 Eye St NW Washington DC 20052 USA;

    US Geol Survey Geosci & Environm Change Sci Ctr POB 25046 DFC MS 980 Denver CO 80225 USA;

    Woods Hole Res Ctr 149 Woods Hole Rd Falmouth MA 02540 USA;

    UFZ Helmholtz Ctr Environm Res Dept Computat Landscape Ecol Permoserstr 15 D-04318 Leipzig Germany;

    Univ Minnesota Dept Fisheries Wildlife & Conservat Biol 2003 Upper Buford Circle St Paul MN 55108 USA;

    Univ Vermont Environm Program 81 Carrigan Dr Burlington VT 05405 USA|Univ Vermont Rubenstein Sch Environm & Nat Resources 81 Carrigan Dr Burlington VT 05405 USA;

    Univ Michigan Sch Environm & Sustainabil 440 Church St Ann Arbor MI 48109 USA;

    Stanford Univ Nat Capital Project Woods Inst Environm 371 Serra Mall Stanford CA 94305 USA;

    Univ S Florida Coll Marine Sci St Petersburg FL 33701 USA;

    Upstream Tech 2401 Monarch St 23 Alameda CA 94501 USA;

    Univ Maryland 4321 Hartwick Rd Suite 400 College Pk MD 20740 USA;

    Univ Florida Sch Forest Resources & Conservat Ft Lauderdale Res & Educ Ctr 3205 Coll Ave Davie FL 33314 USA;

    McGill Univ Dept Geog 805 Sherbrooke St West Montreal PQ H3A 0B9 Canada;

    Univ Minnesota Inst Environm 325 Learning & Environm Sci 1954 Buford Ave St Paul MN 55108 USA|Rainforest Alliance 233 Broadway New York NY 10279 USA;

    McGill Univ Dept Nat Resource Sci 21111 Lakeshore Rd Ste Anne De Bellevue PQ H9X 3V9 Canada|Oak Ridge Natl Lab Natl Secur Emerging Technol Div POB 2008 MS6017 Oak Ridge TN 37831 USA;

    Yale Univ Yale Sch Forestry & Environm Studies 195 Prospect St New Haven CT 06511 USA;

    Univ Vermont Gund Inst Environm 617 Main St Burlington VT 05405 USA|Univ Vermont Rubenstein Sch Environm & Nat Resources 617 Main St Burlington VT 05405 USA;

    Univ South Sewanee 735 Univ Ave Sewanee TN 37383 USA;

    Conservat Int 2011 Crystal Dr Suite 500 Arlington VA 22202 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Ecosystem benefits; Remote sensing; Monitoring; Research priorities;

    机译：生态系统的益处;遥感;监测;研究优先事项;

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