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Confronting the water potential information gap
Water potential directly controls the function of leaves, roots, and microbes, and gradients in water potential drive water flows throughout the soil-plant-atmosphere continuum. Notwithstanding its clear relevance for many ecosystem processes, soil water potential is rarely measured in-situ, and pla...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923290/ https://www.ncbi.nlm.nih.gov/pubmed/35300262 http://dx.doi.org/10.1038/s41561-022-00909-2 |
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author | Novick, Kimberly A. Ficklin, Darren L. Baldocchi, Dennis Davis, Kenneth J. Ghezzehei, Teamrat A. Konings, Alexandra G. MacBean, Natasha Raoult, Nina Scott, Russell L. Shi, Yuning Sulman, Benjamin N. Wood, Jeffrey D. |
author_facet | Novick, Kimberly A. Ficklin, Darren L. Baldocchi, Dennis Davis, Kenneth J. Ghezzehei, Teamrat A. Konings, Alexandra G. MacBean, Natasha Raoult, Nina Scott, Russell L. Shi, Yuning Sulman, Benjamin N. Wood, Jeffrey D. |
author_sort | Novick, Kimberly A. |
collection | PubMed |
description | Water potential directly controls the function of leaves, roots, and microbes, and gradients in water potential drive water flows throughout the soil-plant-atmosphere continuum. Notwithstanding its clear relevance for many ecosystem processes, soil water potential is rarely measured in-situ, and plant water potential observations are generally discrete, sparse, and not yet aggregated into accessible databases. These gaps limit our conceptual understanding of biophysical responses to moisture stress and inject large uncertainty into hydrologic and land surface models. Here, we outline the conceptual and predictive gains that could be made with more continuous and discoverable observations of water potential in soils and plants. We discuss improvements to sensor technologies that facilitate in situ characterization of water potential, as well as strategies for building new networks that aggregate water potential data across sites. We end by highlighting novel opportunities for linking more representative site-level observations of water potential to remotely-sensed proxies. Together, these considerations offer a roadmap for clearer links between ecohydrological processes and the water potential gradients that have the ‘potential’ to substantially reduce conceptual and modeling uncertainties. |
format | Online Article Text |
id | pubmed-8923290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-89232902022-09-11 Confronting the water potential information gap Novick, Kimberly A. Ficklin, Darren L. Baldocchi, Dennis Davis, Kenneth J. Ghezzehei, Teamrat A. Konings, Alexandra G. MacBean, Natasha Raoult, Nina Scott, Russell L. Shi, Yuning Sulman, Benjamin N. Wood, Jeffrey D. Nat Geosci Article Water potential directly controls the function of leaves, roots, and microbes, and gradients in water potential drive water flows throughout the soil-plant-atmosphere continuum. Notwithstanding its clear relevance for many ecosystem processes, soil water potential is rarely measured in-situ, and plant water potential observations are generally discrete, sparse, and not yet aggregated into accessible databases. These gaps limit our conceptual understanding of biophysical responses to moisture stress and inject large uncertainty into hydrologic and land surface models. Here, we outline the conceptual and predictive gains that could be made with more continuous and discoverable observations of water potential in soils and plants. We discuss improvements to sensor technologies that facilitate in situ characterization of water potential, as well as strategies for building new networks that aggregate water potential data across sites. We end by highlighting novel opportunities for linking more representative site-level observations of water potential to remotely-sensed proxies. Together, these considerations offer a roadmap for clearer links between ecohydrological processes and the water potential gradients that have the ‘potential’ to substantially reduce conceptual and modeling uncertainties. 2022-03 2022-03-11 /pmc/articles/PMC8923290/ /pubmed/35300262 http://dx.doi.org/10.1038/s41561-022-00909-2 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms |
spellingShingle | Article Novick, Kimberly A. Ficklin, Darren L. Baldocchi, Dennis Davis, Kenneth J. Ghezzehei, Teamrat A. Konings, Alexandra G. MacBean, Natasha Raoult, Nina Scott, Russell L. Shi, Yuning Sulman, Benjamin N. Wood, Jeffrey D. Confronting the water potential information gap |
title | Confronting the water potential information gap |
title_full | Confronting the water potential information gap |
title_fullStr | Confronting the water potential information gap |
title_full_unstemmed | Confronting the water potential information gap |
title_short | Confronting the water potential information gap |
title_sort | confronting the water potential information gap |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923290/ https://www.ncbi.nlm.nih.gov/pubmed/35300262 http://dx.doi.org/10.1038/s41561-022-00909-2 |
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