Reimagining the potential of Earth observations for ecosystem service assessments

TitleReimagining the potential of Earth observations for ecosystem service assessments
Publication TypeJournal Article
Year of Publication2019
AuthorsRamirez-Reyes C., Brauman K.A, Chaplin-Kramer R., Galford G.L, Adamo S.B, Anderson C.B, Anderson C., Allington G.RH, Bagstad K.J, Coe M.T, Cord A.F, Dee L.E, Gould R.K, Jain M., Kowal V.A, Muller-Karger F.E, Norriss J., Potapov P., Qiu J., Rieb J.T, Robinson B.E, Samberg L.H, Singh N., Szeto S.H, Voigt B., Watson K., Wright T.M
JournalScience of the Total Environment
Volume665
Pagination1053-1063
Date Published2019/05
Type of ArticleReview
ISBN Number0048-9697
Accession NumberWOS:000460628600106
Keywordsbiodiversity; climate; conservation; Ecosystem benefits; Environmental Sciences & Ecology; infrastructure; knowledge; lessons; monitoring; Remote sensing; remote-sensing data; research priorities; scenarios; tropical regions; water-quality
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. (c) 2019 The Authors. Published by Elsevier B.V.

DOI10.1016/j.scitotenv.2019.02.150
Short TitleSci. Total Environ.
Student Publication: 
No