Rainfall recycling needs to be considered in defining limits to the world’s green water resources
Open accessAbstract
In PNAS, Schyns et al.’s (1) analysis of the limits to the world’s green water resources starts from the commonly made assumption that rainfall is an independent, exogenously determined variable, not influenced by anthropogenic land cover change. An increasing body of research now suggests that this is incorrect (2). It matters where rainfall comes from, and where evapotranspiration (ET) goes to. While blue and green water as distinct hydrologic concepts advance scientific discussion, setting potential limits to green water use requires an understanding of rainfall recycling across the globe. Portraying water management as a green water versus blue water allocation issue avoids the up- and downwind dynamics of the … [↵][1]1To whom correspondence should be addressed. Email: m.vannoordwijk{at}cgiar.org. [1]: #xref-corresp-1-1
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There is increasing evidence that deforestation affects rainfall patterns.
“There is increasing evidence that deforestation affects rainfall patterns (Lawrence and Vandecar 2014, Spracklen and Garcia-Carreras 2015, Van Noordwijk and Ellison 2019).”
From The impact of deforestation on rainfall in Africa: a data-driven assessment (2021) · cites this paper as Van Noordwijk and Ellison 2019
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Research works printed but not linked: 1
- [1]Schyns JF Hoekstra AY Booij MJ Hogeboom RJ Mekonnen MM 2019 Limits to the world’s green water resources for food, feed, fiber, timber, and bioenergy Proc Natl Acad Sci USA 116 4893 4898 30804199 PMC6421454
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The impact of deforestation on rainfall in Africa: a data-driven assessment
Duku, C., & Hein, L. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/abfcfb · Cited by 51 · see citing works
- Authors
- van Noordwijk, M., & Ellison, D.
- Affiliations
- World Agroforestry Centre, Bogor 16115, Indonesia;
- Swedish University of Agricultural Sciences (SE)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2019-04-09
- Volume
- 116
- Issue
- 17
- Pages
- 8102-8103
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC6486732
- OpenAlex
- W2940156768
- Cited by
- 22
- References
- 0
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 4 · 2022: 2 · 2021: 5 · 2020: 1 · 2019: 4
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion, cc-by-nc-nd)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Ocean Engineering › Water resources management and optimization
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Keywords
- green water, water scarcity, water cycle
- MeSH terms
- Conservation of Natural Resources, Food, Plant Structures, Recycling, Water Resources
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