Paper · 2005 · Australian Journal of Agricultural Research

A quantitative top-down view of interactions between stresses: theory and analysis of nitrogen–water co-limitation in Mediterranean agro-ecosystems

Victor O. Sadras

4
claims
8
verbatim quotes
82
citations
3
research areas
—
Not open access

Abstract

The multiple factors constraining the growth, reproduction, and survival of diverse organisms are often non-additive. Research of interacting factors generally involves conceptual models that are specific for target organism, type of stress, and process. As a complement to this reductionist, bottom-up view, in this review I discuss a quantitative top-down approach to interacting stresses based on co-limitation theory. Firstly, co-limitation theory is revised. Co-limitation is operationally identified when the output response of a biological system (e.g. plant or population growth) to two or more inputs is greater than its response to each factor in isolation. The hypothesis of Bloom, Chapin, and Mooney, that plant growth is maximised when it is equally limited by all resources, is reworded in terms of co-limitation and formulated in quantitative terms, i.e. for a given intensity of aggregate stress, plant growth is proportional to degree of resource co-limitation. Emphasis is placed on the problems associated with the quantification of co-limitation. It is proposed that seasonal indices of nitrogen and water stress calculated with crop simulation models can be integrated in indices accounting for the aggregated intensity of water and nitrogen stress (SWN), the degree of water and nitrogen co-limitation (CWN), and the integrated effect of stress and co-limitation (SCWN = CWN/SWN). The expectation is that plant growth and yield should be an inverse function of stress intensity and a direct function of co-limitation, thus proportional to SCWN. Secondly, the constraints imposed by water and nitrogen availability on yield and water use efficiency of wheat crops are highlighted in case studies of low-input farming systems of south-eastern Australia. Thirdly, the concept of co-limitation is applied to the analysis of (i) grain yield responses to water–nitrogen interactions, and (ii) trade-offs between nitrogen- and water-use efficiency. In agreement with theoretical expectations, measured grain yield is found to be proportional to modelled SCWN. Productivity gains associated with intensification of cropping practices are interpreted in terms of a trade-off, whereby water-use efficiency is improved at the expense of nitrogen-use efficiency, thus leading to a higher degree of resource co-limitation.

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Claims 4

Method / resourceauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The author proposes aggregated stress and co-limitation indices calculated from crop simulation models.

Outcome
integrated effect of stress and co-limitatione0
Qualifier
SCWN = CWN/SWNe0

Not reportedComparatorValue

Verbatim

e0

“It is proposed that seasonal indices of nitrogen and water stress calculated with crop simulation models can be integrated in indices accounting for the aggregated intensity of water and nitrogen stress (SWN), the degree of water and nitrogen co-limitation (CWN), and the integrated effect of stress and co-limitation (SCWN = CWN/SWN)”

✓ located verbatim in the source · abstract, characters 1067–1401 · show in text ↑
Associationobservedoriginal resultpositivemeasured

Claim · model-written summary

Measured grain yield was proportional to modelled SCWN.

Taxon
wheat cropsTriticum aestivume1
Outcome
grain yielde0
Qualifier
proportional to modelled SCWNe0
Comparator
modelled SCWNe0

Not reportedDirection

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“measured grain yield is found to be proportional to modelled SCWN”

✓ located verbatim in the source · abstract, characters 2008–2073 · show in text ↑
e1

“wheat crops”

✓ located verbatim in the source · abstract, characters 1673–1684 · show in text ↑
Associationauthor interpretationoriginal resultmixedmeasured

Claim · model-written summary

Cropping intensification improved water use efficiency at the expense of nitrogen use efficiency.

Taxon
wheat cropsTriticum aestivume1
Treatment
intensification of cropping practicese0
Outcome
water-use efficiencye0
Direction
improvede0
Qualifier
at the expense of nitrogen-use efficiencye0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“Productivity gains associated with intensification of cropping practices are interpreted in terms of a trade-off, whereby water-use efficiency is improved at the expense of nitrogen-use efficiency”

✓ located verbatim in the source · abstract, characters 2075–2271 · show in text ↑
e1

“wheat crops”

✓ located verbatim in the source · abstract, characters 1673–1684 · show in text ↑
Associationauthor interpretationoriginal resultmeasured

Claim · model-written summary

Intensification led to greater resource co-limitation.

Taxon
wheat cropsTriticum aestivume1
Treatment
intensification of cropping practicese2
Outcome
degree of resource co-limitatione0
Direction
highere0

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Triticum aestivum
Triticum aestivum · TaxonRasbak · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

e0

“thus leading to a higher degree of resource co-limitation”

✓ located verbatim in the source · abstract, characters 2273–2330 · show in text ↑
e1

“wheat crops”

✓ located verbatim in the source · abstract, characters 1673–1684 · show in text ↑
e2

“intensification of cropping practices”

✓ located verbatim in the source · abstract, characters 2110–2147 · show in text ↑