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Reimagining the potential of Earth observations for ecosystem service assessments

February 22, 2019

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.

Publication Year 2019
Title Reimagining the potential of Earth observations for ecosystem service assessments
DOI 10.1016/j.scitotenv.2019.02.150
Authors 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 V. Potapov, Jiangxiao Qui, Jesse T. Rieb, Brian E. Robinson, Leah H. Samberg, Nagendra Singh, Sabrina H. Szeto, Brian Voigt, Keri Watson, T. Maxwell Wright
Publication Type Article
Publication Subtype Journal Article
Series Title Science of the Total Environment
Index ID 70202311
Record Source USGS Publications Warehouse
USGS Organization Geosciences and Environmental Change Science Center