Advancing ecohydrology in the 21st century: A convergence of opportunities

A.J. Guswa; D. Tetzlaff; J.S. Selker; D.E. Carlyle-Moses; E.W. Boyer; M. Bruen; C. Cayuela; I.F. Creed; N. van de Giesen; D. Grasso; D.M. Hannah; J.E. Hudson; S.A. Hudson; S. Iida; R.B. Jackson; G.G. Katul; T. Kumagai; P. Llorens; F. Lopes Ribeiro; B. Michalzik; K. Nanko; C. Oster; D.E. Pataki; C.A. Peters; A. Rinaldo; D. Sanchez Carretero; B. Trifunovic; M. Zalewski; M. Haagsma; D.F. Levia

doi:10.1002/eco.2208

Advancing ecohydrology in the 21st century: A convergence of opportunities

A.J. Guswa, D. Tetzlaff, J.S. Selker, D.E. Carlyle-Moses, E.W. Boyer, M. Bruen, C. Cayuela, I.F. Creed, N. van de Giesen, D. Grasso, D.M. Hannah, J.E. Hudson, S.A. Hudson, S. Iida, R.B. Jackson, G.G. Katul, T. Kumagai, P. Llorens, F. Lopes Ribeiro, B. MichalzikK. Nanko, C. Oster, D.E. Pataki, C.A. Peters, A. Rinaldo, D. Sanchez Carretero, B. Trifunovic, M. Zalewski, M. Haagsma, D.F. Levia^* (Corresponding Author)

^*Corresponding author for this work

Geography & Environment

Research output: Contribution to journal › Article › peer-review

35 Citations (Scopus)

3 Downloads (Pure)

Abstract

Nature-based solutions for water-resource challenges require advances in the science of ecohydrology. Current understanding is limited by a shortage of observations and theories that can further our capability to synthesize complex processes across scales ranging from submillimetres to tens of kilometres. Recent developments in environmental sensing, data, and modelling have the potential to drive rapid improvements in ecohydrological understanding. After briefly reviewing advances in sensor technologies, this paper highlights how improved measurements and modelling can be applied to enhance understanding of the following ecohydrological examples: interception and canopy processes, root uptake and critical zone processes, and up-scaled effects of land use on streamflow. Novel and improved sensors will enable new questions and experiments, while machine learning and empirical methods provide additional opportunities to advance science. The synergy resulting from the convergence of these parallel developments will provide new insight into ecohydrological processes and thereby help identify nature-based solutions to address water-resource challenges in the 21st century.

Original language	English
Article number	e2208
Number of pages	14
Journal	Ecohydrology
Volume	13
Issue number	4
Early online date	23 Apr 2020
DOIs	https://doi.org/10.1002/eco.2208
Publication status	Published - 1 Jun 2020

Bibliographical note

ACKNOWLEDGEMENTS
This paper stems from discussions at the Ettersburg Ecohydrology Workshop, which was held in Ettersburg, Germany, in October 2018. Funding for the Ettersburg Ecohydrology Workshop was graciously provided by the UNIDEL Foundation, Inc. and the University of Delaware. The authors kindly recognize the administrative support of Sandy Raymond before, during, and after the workshop. Her attention to detail and high degree of professionalism helped make the workshop a success. B. Michalzik is recognized for finding the Schloss Ettersburg (the venue of the workshop) and serving as the local point of contact for the workshop. Finally, the authors thank the staff of the Schloss Ettersburg, especially Frau S. Wagner, for a memorable workshop experience. The authors kindly thank David Aldred for drafting Figure 1b. The authors declare no conflict of interest.

Keywords

environmental sensing
measurement
machine learning
modelling
interception
critical zone processes
land use
streamflow

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1002/eco.2208Licence: CC BY-NC-ND

Guswa_etal_E_Advancing_Ecohydrology_In_VoR
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. © 2020 The Authors. Ecohydrology published by John Wiley & Sons Ltd https://creativecommons.org/licenses/by-nc-nd/4.0/
Final published version, 745 KBLicence: CC BY-NC-ND

Cite this

Guswa, A. J., Tetzlaff, D., Selker, J. S., Carlyle-Moses, D. E., Boyer, E. W., Bruen, M., Cayuela, C., Creed, I. F., van de Giesen, N., Grasso, D., Hannah, D. M., Hudson, J. E., Hudson, S. A., Iida, S., Jackson, R. B., Katul, G. G., Kumagai, T., Llorens, P., Lopes Ribeiro, F., ... Levia, D. F. (2020). Advancing ecohydrology in the 21st century: A convergence of opportunities. Ecohydrology, 13(4), Article e2208. https://doi.org/10.1002/eco.2208

Guswa, AJ, Tetzlaff, D, Selker, JS, Carlyle-Moses, DE, Boyer, EW, Bruen, M, Cayuela, C, Creed, IF, van de Giesen, N, Grasso, D, Hannah, DM, Hudson, JE, Hudson, SA, Iida, S, Jackson, RB, Katul, GG, Kumagai, T, Llorens, P, Lopes Ribeiro, F, Michalzik, B, Nanko, K, Oster, C, Pataki, DE, Peters, CA, Rinaldo, A, Sanchez Carretero, D, Trifunovic, B, Zalewski, M, Haagsma, M & Levia, DF 2020, 'Advancing ecohydrology in the 21st century: A convergence of opportunities', Ecohydrology, vol. 13, no. 4, e2208. https://doi.org/10.1002/eco.2208

@article{3c9d721f0a574cf3b008d21cc790ef08,

title = "Advancing ecohydrology in the 21st century: A convergence of opportunities",

abstract = "Nature-based solutions for water-resource challenges require advances in the science of ecohydrology. Current understanding is limited by a shortage of observations and theories that can further our capability to synthesize complex processes across scales ranging from submillimetres to tens of kilometres. Recent developments in environmental sensing, data, and modelling have the potential to drive rapid improvements in ecohydrological understanding. After briefly reviewing advances in sensor technologies, this paper highlights how improved measurements and modelling can be applied to enhance understanding of the following ecohydrological examples: interception and canopy processes, root uptake and critical zone processes, and up-scaled effects of land use on streamflow. Novel and improved sensors will enable new questions and experiments, while machine learning and empirical methods provide additional opportunities to advance science. The synergy resulting from the convergence of these parallel developments will provide new insight into ecohydrological processes and thereby help identify nature-based solutions to address water-resource challenges in the 21st century.",

keywords = "environmental sensing, measurement, machine learning, modelling, interception, critical zone processes, land use, streamflow",

author = "A.J. Guswa and D. Tetzlaff and J.S. Selker and D.E. Carlyle-Moses and E.W. Boyer and M. Bruen and C. Cayuela and I.F. Creed and {van de Giesen}, N. and D. Grasso and D.M. Hannah and J.E. Hudson and S.A. Hudson and S. Iida and R.B. Jackson and G.G. Katul and T. Kumagai and P. Llorens and {Lopes Ribeiro}, F. and B. Michalzik and K. Nanko and C. Oster and D.E. Pataki and C.A. Peters and A. Rinaldo and {Sanchez Carretero}, D. and B. Trifunovic and M. Zalewski and M. Haagsma and D.F. Levia",

note = "ACKNOWLEDGEMENTS This paper stems from discussions at the Ettersburg Ecohydrology Workshop, which was held in Ettersburg, Germany, in October 2018. Funding for the Ettersburg Ecohydrology Workshop was graciously provided by the UNIDEL Foundation, Inc. and the University of Delaware. The authors kindly recognize the administrative support of Sandy Raymond before, during, and after the workshop. Her attention to detail and high degree of professionalism helped make the workshop a success. B. Michalzik is recognized for finding the Schloss Ettersburg (the venue of the workshop) and serving as the local point of contact for the workshop. Finally, the authors thank the staff of the Schloss Ettersburg, especially Frau S. Wagner, for a memorable workshop experience. The authors kindly thank David Aldred for drafting Figure 1b. The authors declare no conflict of interest. ",

year = "2020",

month = jun,

day = "1",

doi = "10.1002/eco.2208",

language = "English",

volume = "13",

journal = "Ecohydrology",

issn = "1936-0584",

publisher = "Wiley",

number = "4",

}

TY - JOUR

T1 - Advancing ecohydrology in the 21st century

T2 - A convergence of opportunities

AU - Guswa, A.J.

AU - Tetzlaff, D.

AU - Selker, J.S.

AU - Carlyle-Moses, D.E.

AU - Boyer, E.W.

AU - Bruen, M.

AU - Cayuela, C.

AU - Creed, I.F.

AU - van de Giesen, N.

AU - Grasso, D.

AU - Hannah, D.M.

AU - Hudson, J.E.

AU - Hudson, S.A.

AU - Iida, S.

AU - Jackson, R.B.

AU - Katul, G.G.

AU - Kumagai, T.

AU - Llorens, P.

AU - Lopes Ribeiro, F.

AU - Michalzik, B.

AU - Nanko, K.

AU - Oster, C.

AU - Pataki, D.E.

AU - Peters, C.A.

AU - Rinaldo, A.

AU - Sanchez Carretero, D.

AU - Trifunovic, B.

AU - Zalewski, M.

AU - Haagsma, M.

AU - Levia, D.F.

N1 - ACKNOWLEDGEMENTS This paper stems from discussions at the Ettersburg Ecohydrology Workshop, which was held in Ettersburg, Germany, in October 2018. Funding for the Ettersburg Ecohydrology Workshop was graciously provided by the UNIDEL Foundation, Inc. and the University of Delaware. The authors kindly recognize the administrative support of Sandy Raymond before, during, and after the workshop. Her attention to detail and high degree of professionalism helped make the workshop a success. B. Michalzik is recognized for finding the Schloss Ettersburg (the venue of the workshop) and serving as the local point of contact for the workshop. Finally, the authors thank the staff of the Schloss Ettersburg, especially Frau S. Wagner, for a memorable workshop experience. The authors kindly thank David Aldred for drafting Figure 1b. The authors declare no conflict of interest.

PY - 2020/6/1

Y1 - 2020/6/1

N2 - Nature-based solutions for water-resource challenges require advances in the science of ecohydrology. Current understanding is limited by a shortage of observations and theories that can further our capability to synthesize complex processes across scales ranging from submillimetres to tens of kilometres. Recent developments in environmental sensing, data, and modelling have the potential to drive rapid improvements in ecohydrological understanding. After briefly reviewing advances in sensor technologies, this paper highlights how improved measurements and modelling can be applied to enhance understanding of the following ecohydrological examples: interception and canopy processes, root uptake and critical zone processes, and up-scaled effects of land use on streamflow. Novel and improved sensors will enable new questions and experiments, while machine learning and empirical methods provide additional opportunities to advance science. The synergy resulting from the convergence of these parallel developments will provide new insight into ecohydrological processes and thereby help identify nature-based solutions to address water-resource challenges in the 21st century.

AB - Nature-based solutions for water-resource challenges require advances in the science of ecohydrology. Current understanding is limited by a shortage of observations and theories that can further our capability to synthesize complex processes across scales ranging from submillimetres to tens of kilometres. Recent developments in environmental sensing, data, and modelling have the potential to drive rapid improvements in ecohydrological understanding. After briefly reviewing advances in sensor technologies, this paper highlights how improved measurements and modelling can be applied to enhance understanding of the following ecohydrological examples: interception and canopy processes, root uptake and critical zone processes, and up-scaled effects of land use on streamflow. Novel and improved sensors will enable new questions and experiments, while machine learning and empirical methods provide additional opportunities to advance science. The synergy resulting from the convergence of these parallel developments will provide new insight into ecohydrological processes and thereby help identify nature-based solutions to address water-resource challenges in the 21st century.

KW - environmental sensing

KW - measurement

KW - machine learning

KW - modelling

KW - interception

KW - critical zone processes

KW - land use

KW - streamflow

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85083805557&partnerID=MN8TOARS

U2 - 10.1002/eco.2208

DO - 10.1002/eco.2208

M3 - Article

SN - 1936-0584

VL - 13

JO - Ecohydrology

JF - Ecohydrology

IS - 4

M1 - e2208

ER -

Advancing ecohydrology in the 21st century: A convergence of opportunities

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this