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Root-zone soil mois...
Root-zone soil moisture variability across African savannas : From pulsed rainfall to land-cover switches
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- Räsänen, Matti (author)
- Helsinki University of Technology
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- Merbold, Lutz (author)
- International Livestock Research Institute Nairobi
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- Vakkari, Ville (author)
- Finnish Meteorological Institute,North-West University
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- Aurela, Mika (author)
- Finnish Meteorological Institute
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- Laakso, Lauri (author)
- North-West University,Finnish Meteorological Institute
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- Beukes, J. Paul (author)
- North-West University
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- Van Zyl, Pieter G. (author)
- North-West University
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- Josipovic, Miroslav (author)
- North-West University
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- Feig, Gregor (author)
- University of Pretoria,Council of Scientific and Industrial Research (CSIR)
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- Pellikka, Petri (author)
- Helsinki University of Technology
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- Rinne, Janne (author)
- Lund University,Lunds universitet,BECC: Biodiversity and Ecosystem services in a Changing Climate,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Institutionen för naturgeografi och ekosystemvetenskap,Centre for Environmental and Climate Science (CEC),Faculty of Science,Dept of Physical Geography and Ecosystem Science
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- Katul, Gabriel G. (author)
- Duke University
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(creator_code:org_t)
- 2020-06-03
- 2020
- English.
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In: Ecohydrology. - : Wiley. - 1936-0584 .- 1936-0592. ; 13:5
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Abstract
Subject headings
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- The main source of soil moisture variability in savanna ecosystems is pulsed rainfall. Rainfall pulsing impacts water-stress durations, soil moisture switching between wet-to-dry and dry-to-wet states, and soil moisture spectra as well as derived measures from it such as soil moisture memory. Rainfall pulsing is also responsible for rapid changes in grassland leaf area and concomitant changes in evapotranspirational (ET) losses, which then impact soil moisture variability. With the use of a hierarchy of models and soil moisture measurements, temporal variability in root-zone soil moisture and water-stress periods are analysed at four African sites ranging from grass to miombo savannas. The normalized difference vegetation index (NDVI) and potential ET (PET)-adjusted ET model predict memory timescale and dry persistence in agreement with measurements. The model comparisons demonstrate that dry persistence and mean annual dry periods must account for seasonal and interannual changes in maximum ET represented by NDVI and to a lesser extent PET. Interestingly, the precipitation intensity and soil moisture memory were linearly related across three savannas with ET/infiltration ∼ 1.0. This relation and the variability of length and timing of dry periods are also discussed.
Subject headings
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske -- Markvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries -- Soil Science (hsv//eng)
Keyword
- memory
- persistence
- precipitation intensity
- savanna
Publication and Content Type
- art (subject category)
- ref (subject category)
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To the university's database
- By the author/editor
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Räsänen, Matti
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Merbold, Lutz
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Vakkari, Ville
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Aurela, Mika
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Laakso, Lauri
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Beukes, J. Paul
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show more...
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Van Zyl, Pieter ...
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Josipovic, Miros ...
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Feig, Gregor
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Pellikka, Petri
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Rinne, Janne
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Katul, Gabriel G ...
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show less...
- About the subject
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- AGRICULTURAL SCIENCES
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AGRICULTURAL SCI ...
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and Agriculture Fore ...
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and Soil Science
- Articles in the publication
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Ecohydrology
- By the university
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Lund University