Using stable isotopes to inform water resource management in forested and agricultural ecosystems
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články, přehledy
PubMed
38917546
DOI
10.1016/j.jenvman.2024.121381
PII: S0301-4797(24)01367-7
Knihovny.cz E-zdroje
- Klíčová slova
- Agricultural management, Climate change, Forest management, Stable isotopes of water, Stakeholders, Water resources management,
- MeSH
- ekosystém * MeSH
- izotopy analýza MeSH
- lesy * MeSH
- ochrana vodních zdrojů metody MeSH
- podzemní voda chemie MeSH
- vodní zdroje MeSH
- zemědělství * metody MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
- Názvy látek
- izotopy MeSH
Present and future climatic trends are expected to markedly alter water fluxes and stores in the hydrologic cycle. In addition, water demand continues to grow due to increased human use and a growing population. Sustainably managing water resources requires a thorough understanding of water storage and flow in natural, agricultural, and urban ecosystems. Measurements of stable isotopes of water (hydrogen and oxygen) in the water cycle (atmosphere, soils, plants, surface water, and groundwater) can provide information on the transport pathways, sourcing, dynamics, ages, and storage pools of water that is difficult to obtain with other techniques. However, the potential of these techniques for practical questions has not been fully exploited yet. Here, we outline the benefits and limitations of potential applications of stable isotope methods useful to water managers, farmers, and other stakeholders. We also describe several case studies demonstrating how stable isotopes of water can support water management decision-making. Finally, we propose a workflow that guides users through a sequence of decisions required to apply stable isotope methods to examples of water management issues. We call for ongoing dialogue and a stronger connection between water management stakeholders and water stable isotope practitioners to identify the most pressing issues and develop best-practice guidelines to apply these techniques.
CNRS UPS Toulouse France; Mohammed 6 Polytechnic University Benguerir Morocco
Friedrich Schiller University Jena Germany
Green Power Storage Solutions SA Wecker Luxembourg
Institute of Environmental Assessment and Water Research CSIC Barcelona Spain
Lawrence Berkeley National Laboratory Berkeley USA
Nanjing University of Information Science and Technology Nanjing People's Republic of China
National Autonomous University of Mexico Mexico City Mexico
Swiss Federal Institute for Forest Snow and Landscape Research Birmensdorf Switzerland
Technische Universität Braunschweig Braunschweig Germany
Technische Universität Braunschweig Braunschweig Germany; University of Freiburg Freiburg Germany
Technische Universität Dresden Dresden Germany
Tianjin University Tianjin People's Republic of China
U Series s r l via Ferrarese 131 40128 Bologna Italy
Universitat de Barcelona Barcelona Spain
University of Aberdeen Aberdeen UK
University of Almería Almería Spain
University of Bayreuth Bayreuth Germany
University of California Santa Cruz USA
University of Firenze Firenze Italy; Oregon State University Corvallis USA
University of Natural Resources and Life Sciences Vienna Austria
University of Padova Legnaro Pavia Italy
University of Potsdam Potsdam Germany
University of Torino Turin Italy
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