Reimagining the potential of Earth observations for ecosystem service assessments

Ramirez-Reyes, C, Brauman KA, Chaplin-Kramer R, Galford GL, Adamo SB, Anderson CB, Anderson C, Allington GRH, Bagstad KJ, Coe MT, Cord AF, Dee LE, Gould RK, Jain M, Kowal VA, Muller-Karger FE, Norriss J, Potapov P, Qiu J, Rieb JT, Robinson BE, Samberg LH, Singh N, Szeto SH, Voigt B, Watson K, Wright TM.  2019.  Reimagining the potential of Earth observations for ecosystem service assessments. Science of the Total Environment. 665:1053-1063.

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biodiversity, climate, conservation, Ecosystem benefits, Environmental Sciences & Ecology, infrastructure, knowledge, lessons, monitoring, remote sensing, remote-sensing data, Research priorities, scenarios, tropical regions, water-quality


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.