Reimagining the potential of Earth observations for ecosystem service assessments

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

Research output: Contribution to journalReview articlepeer-review

16 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1053-1063
Number of pages11
JournalScience of the Total Environment
Volume665
DOIs
StatePublished - May 15 2019

Bibliographical note

Funding Information:
We are grateful for the numerous workshop participants that helped us shape and develop the ideas in this manuscript. We thank the Natural Capital Project, the Green Growth Knowledge Platform, and our institutions. We also thank the comments made by four anonymous reviewers that improved the contents of this manuscript. This project has been funded by NASA grant # NNX17AG32G . Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Support for Bagstad's time was provided by the U.S. Geological Survey Land Change Science Program.

Publisher Copyright:
© 2019 The Authors

Keywords

  • Ecosystem benefits
  • Monitoring
  • Remote sensing
  • Research priorities

PubMed: MeSH publication types

  • Journal Article
  • Review

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