Advancing ecohydrology in the 21st century: A convergence of opportunities
| Autor: | John S. Selker, Catherine A. Peters, Robert B. Jackson, Andrea Rinaldo, Beate Michalzik, Maciej Zalewski, Diane E. Pataki, J. E. Hudson, Shin'ichi Iida, Christopher Oster, David M. Hannah, Pilar Llorens, Delphis F. Levia, Domenico Grasso, Tomo'omi Kumagai, Gabriel G. Katul, Branimir Trifunovic, S. Hudson, Carles Cayuela, Darryl E. Carlyle-Moses, Marja Haagsma, Flavio Lopes Ribeiro, Andrew J. Guswa, Daniel Sanchez Carretero, Michael Bruen, Irena F. Creed, Doerthe Tetzlaff, Nick van de Giesen, Elizabeth W. Boyer, Kazuki Nanko |
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| Přispěvatelé: | Llorens, Pilar, Llorens, Pilar [0000-0003-4591-5303] |
| Předmět: |
010504 meteorology & atmospheric sciences
rainfall interception loss Computer science 0208 environmental biotechnology Economic shortage drop size 02 engineering and technology Aquatic Science interception precipitation 01 natural sciences time distributions Modelling modelling forest Empirical research Ecohydrology Machine learning catchment Ecology Evolution Behavior and Systematics Critical zone processes 0105 earth and related environmental sciences Earth-Surface Processes canopy model Ecology critical zone processes environmental sensing land use machine learning measurement streamflow Stream flow Critical zone water storage Environmental sensing Data science 020801 environmental engineering Land use Root uptake Convergence (relationship) ecosystem services |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | 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. 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. |
| Databáze: | OpenAIRE |
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