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 article

2 Citations (Scopus)

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

Fingerprint

ecosystem service
Ecosystems
Earth (planet)
agricultural management
prioritization
data management
spatial data
Information management
Byproducts
Conservation
infrastructure
modeling

Keywords

  • Ecosystem benefits
  • Monitoring
  • Remote sensing
  • Research priorities

PubMed: MeSH publication types

  • Journal Article
  • Review

Cite this

Reimagining the potential of Earth observations for ecosystem service assessments. / 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, Brian; Watson, Keri; Wright, T. Maxwell.

In: Science of the Total Environment, Vol. 665, 15.05.2019, p. 1053-1063.

Research output: Contribution to journalReview article

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, vol. 665, pp. 1053-1063. https://doi.org/10.1016/j.scitotenv.2019.02.150
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, Brian ; Watson, Keri ; Wright, T. Maxwell. / Reimagining the potential of Earth observations for ecosystem service assessments. In: Science of the Total Environment. 2019 ; Vol. 665. pp. 1053-1063.
@article{e8f728ac2b4d4b39bd5f7df4baf7c368,
title = "Reimagining the potential of Earth observations for ecosystem service assessments",
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.",
keywords = "Ecosystem benefits, Monitoring, Remote sensing, Research priorities",
author = "Carlos Ramirez-Reyes and Brauman, {Kate A.} and Rebecca Chaplin-Kramer and Galford, {Gillian L.} and Adamo, {Susana B.} and Anderson, {Christopher B.} and Clarissa Anderson and Allington, {Ginger R.H.} and Bagstad, {Kenneth J.} and Coe, {Michael T.} and Cord, {Anna F.} and Dee, {Laura E.} and Gould, {Rachelle K.} and Meha Jain and Kowal, {Virginia A.} and Muller-Karger, {Frank E.} and Jessica Norriss and Peter Potapov and Jiangxiao Qiu and Rieb, {Jesse T.} and Robinson, {Brian E.} and Samberg, {Leah H.} and Nagendra Singh and Szeto, {Sabrina H.} and Brian Voigt and Keri Watson and Wright, {T. Maxwell}",
year = "2019",
month = "5",
day = "15",
doi = "10.1016/j.scitotenv.2019.02.150",
language = "English (US)",
volume = "665",
pages = "1053--1063",
journal = "Science of the Total Environment",
issn = "0048-9697",
publisher = "Elsevier",

}

TY - JOUR

T1 - Reimagining the potential of Earth observations for ecosystem service assessments

AU - Ramirez-Reyes, Carlos

AU - Brauman, Kate A.

AU - Chaplin-Kramer, Rebecca

AU - Galford, Gillian L.

AU - Adamo, Susana B.

AU - Anderson, Christopher B.

AU - Anderson, Clarissa

AU - Allington, Ginger R.H.

AU - Bagstad, Kenneth J.

AU - Coe, Michael T.

AU - Cord, Anna F.

AU - Dee, Laura E.

AU - Gould, Rachelle K.

AU - Jain, Meha

AU - Kowal, Virginia A.

AU - Muller-Karger, Frank E.

AU - Norriss, Jessica

AU - Potapov, Peter

AU - Qiu, Jiangxiao

AU - Rieb, Jesse T.

AU - Robinson, Brian E.

AU - Samberg, Leah H.

AU - Singh, Nagendra

AU - Szeto, Sabrina H.

AU - Voigt, Brian

AU - Watson, Keri

AU - Wright, T. Maxwell

PY - 2019/5/15

Y1 - 2019/5/15

N2 - 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.

AB - 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.

KW - Ecosystem benefits

KW - Monitoring

KW - Remote sensing

KW - Research priorities

UR - http://www.scopus.com/inward/record.url?scp=85061671375&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061671375&partnerID=8YFLogxK

U2 - 10.1016/j.scitotenv.2019.02.150

DO - 10.1016/j.scitotenv.2019.02.150

M3 - Review article

C2 - 30893737

AN - SCOPUS:85061671375

VL - 665

SP - 1053

EP - 1063

JO - Science of the Total Environment

JF - Science of the Total Environment

SN - 0048-9697

ER -