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Ecohydrology of agroecosystems: quantitative approaches towards sustainable irrigation.

Publication ,  Journal Article
Vico, G; Porporato, A
Published in: Bulletin of mathematical biology
February 2015

Irrigation represents one of the main strategies to enhance and stabilize agricultural productivity, by mitigating the effects of rainfall vagaries. In the face of the projected growth in population and in biofuel demands, as well as shifts in climate and dietary habits, a more sustainable management of water resources in agroecosystems is needed. The field of ecohydrology, traditionally focusing on natural ecosystems, has the potential to offer the necessary quantitative tools to assess and compare agricultural enterprises across climates, soil types, crops, and irrigation strategies, accounting for the unpredictability of the hydro-climatic forcing. Here, agricultural sustainability and productivity are assessed with reference to water productivity (defined as the ratio between yield and total supplied water), yields, water requirements, and their variability-a crucial element for food security and resource allocation planning. These synthetic indicators are quantified by means of a probabilistic description of the soil water balance and crop development. The model results allow the interpretation of patterns of water productivity observed in Zea mays (maize) and Triticum aestivum (wheat), grown under a variety of soils, climates, and irrigation strategies. Employing the same modeling framework, the impact of rainfall pattern and irrigation strategy on yield and water requirements is further explored. The obtained standard deviations of yield and water requirements suggest the existence of a nonlinear tradeoff between yield stabilization and variability of water requirements, which in turn is strongly impacted by irrigation strategy. Moreover, intermediate rainfall amounts are associated to the highest variability in yields and irrigation requirements, although allowing the maximum water productivity. The existence of these tradeoffs between productivity, reliability, and sustainability poses a problem for water management, in particular in mesic climates.

Duke Scholars

Published In

Bulletin of mathematical biology

DOI

EISSN

1522-9602

ISSN

0092-8240

Publication Date

February 2015

Volume

77

Issue

2

Start / End Page

298 / 318

Related Subject Headings

  • Models, Statistical
  • Mathematical Concepts
  • Hydrology
  • Humans
  • Ecosystem
  • Conservation of Natural Resources
  • Bioinformatics
  • Agriculture
  • Agricultural Irrigation
  • 49 Mathematical sciences
 

Citation

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Vico, G., & Porporato, A. (2015). Ecohydrology of agroecosystems: quantitative approaches towards sustainable irrigation. Bulletin of Mathematical Biology, 77(2), 298–318. https://doi.org/10.1007/s11538-014-9988-9
Vico, Giulia, and Amilcare Porporato. “Ecohydrology of agroecosystems: quantitative approaches towards sustainable irrigation.Bulletin of Mathematical Biology 77, no. 2 (February 2015): 298–318. https://doi.org/10.1007/s11538-014-9988-9.
Vico G, Porporato A. Ecohydrology of agroecosystems: quantitative approaches towards sustainable irrigation. Bulletin of mathematical biology. 2015 Feb;77(2):298–318.
Vico, Giulia, and Amilcare Porporato. “Ecohydrology of agroecosystems: quantitative approaches towards sustainable irrigation.Bulletin of Mathematical Biology, vol. 77, no. 2, Feb. 2015, pp. 298–318. Epmc, doi:10.1007/s11538-014-9988-9.
Vico G, Porporato A. Ecohydrology of agroecosystems: quantitative approaches towards sustainable irrigation. Bulletin of mathematical biology. 2015 Feb;77(2):298–318.
Journal cover image

Published In

Bulletin of mathematical biology

DOI

EISSN

1522-9602

ISSN

0092-8240

Publication Date

February 2015

Volume

77

Issue

2

Start / End Page

298 / 318

Related Subject Headings

  • Models, Statistical
  • Mathematical Concepts
  • Hydrology
  • Humans
  • Ecosystem
  • Conservation of Natural Resources
  • Bioinformatics
  • Agriculture
  • Agricultural Irrigation
  • 49 Mathematical sciences