Abstract
| Original language | English |
|---|---|
| Article number | 60 |
| Pages (from-to) | 1-14 |
| Number of pages | 14 |
| Journal | Discover Geoscience |
| Volume | 2 |
| Issue number | 1 |
| Early online date | 12 Sept 2024 |
| DOIs | |
| Publication status | Published online - 12 Sept 2024 |
Bibliographical note
© The Author(s) 2024.Data Availability Statement
Data can be made available on request.Funding
This work was undertaken as part of the WaterFutures project (2020-W-CD-3) funded by the Irish Environmental Protection Agency and the Department of Agriculture Food and the Marine (DAFM). The work is in collaboration with the Irish Agricultural Catchments Programme funded by DAFM. Rothamsted Research receives strategic funding from UKRI-BBSRC (UK Research and Innovation-Biotechnology and Biological Sciences Research Council) and the contributions to this paper by ALC and SP were also funded by the Resilient Farming Futures institute strategic programme (grant award BB/X010961/1-specifically work package 2-BBS/E/RH/230004B, Resilient Farming Futures: Detecting agroecosystem ‘resilience’ using novel data science methods).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 6 Clean Water and Sanitation
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SDG 13 Climate Action
Keywords
- Mobilisation
- Delivery
- Impact
- Water quality
- Climate change
- Critical mobilisation area
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