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Observationobservedoriginal resultmeasured

Claim · model-written summary

Temporal variability dominated spatial variability in the study.

Taxon
Cropt0
Outcome
Temporal variabilitye0
Direction
much more dominante0
Comparator
spatial variabilitye0

Verbatim

e0

“Temporal variability was much more dominant than spatial variability in this study.”

✓ located verbatim in the source · abstract, characters 1441–1524
t0

“Crop Sequences”

✓ located verbatim in the source · title, characters 50–64

Title

Fractal Analysis of Temporal Yield Variability of Crop Sequences: Implications for Site‐Specific Management

Bahman Eghball; Gary E. Varvel Agronomy Journal 1997. doi:10.2134/agronj1997.00021962008900060001x

Other claims from this paper (6)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

Multispectral video modeled spatial yield variability.

Outcome
spatial variability of yielde0

Not reportedTaxonComparatorValue

Verbatim

e0

“Multispectral video also proved instrumental in modeling the spatial variability of yield.”

✓ located verbatim in the source · abstract, characters 1569–1659

Title

Multispectral videography for site-specific farm management

Gerald L. Anderson; C. Yang Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 1996. doi:10.1117/12.256079

Other claims from this paper (7)
Mechanismauthor interpretationoriginal resultmeasured

Claim · model-written summary

Temporal variability may greatly influence how spatial variability is expressed in a field.

Taxon
Cropt0
Outcome
spatial variabilitye0
Qualifier
Temporal variabilitye0

Verbatim

e0

“Temporal variability may greatly influence how spatial variability is expressed in a given field.”

✓ located verbatim in the source · abstract, characters 1525–1622
t0

“Crop Sequences”

✓ located verbatim in the source · title, characters 50–64

Title

Fractal Analysis of Temporal Yield Variability of Crop Sequences: Implications for Site‐Specific Management

Bahman Eghball; Gary E. Varvel Agronomy Journal 1997. doi:10.2134/agronj1997.00021962008900060001x

Other claims from this paper (6)
Associationobservedoriginal resultsimulated

Claim · model-written summary

Soil variability was the most important source of spatial variability in simulated yield.

Outcome
spatial variability for the simulated yieldse0
Direction
most importante0
Setting
study regione0

Verbatim

e0

“Soil variability within the study region was the most important source of spatial variability for the simulated yields”

✓ located verbatim in the source · abstract, characters 806–924
t0

“wheat”

✓ located verbatim in the source · title, characters 10–15

Title

Modelling wheat yield responses to soil and climate variability at the regional scale

T Wassenaar; P Lagacherie; JP Legros; et al. Climate Research 1999. doi:10.3354/cr011209

Other claims from this paper (6)
Mechanismauthor interpretationoriginal resultmeasured

Claim · model-written summary

Spatial variability in seed production may contribute to B. gracilis persistence under disturbance.

Taxon
B. gracilisBouteloua gracilise0
Outcome
continued dominance of this speciese0
Qualifier
Spatial variability in seed productione0

Verbatim

e0

“Spatial variability in seed production of B. gracilis as a result of spatial variability in soil texture and grazing may be important to the continued dominance of this species”

✓ located verbatim in the source · abstract, characters 1289–1465

Title

SPATIAL VARIABILITY IN SEED PRODUCTION OF THE PERENNIAL BUNCHGRASS BOUTELOUA GRACILIS

Debra P. Coffin; William K. Lauenroth 1992

Other claims from this paper (8)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Sphagnum fuscum shows a high degree of spatial variability in growth.

Taxon
Sphagnum fuscumSphagnum fuscume0
Outcome
spatial variabilitye0

Verbatim

e0

“The study highlights the high degree of spatial variability that occurs within Sphagnum fuscum”

✓ located verbatim in the source · abstract, characters 934–1028

Title

Response ofSphagnum fuscumto N deposition and increased CO2

Jyrki Jauhiainen; Harri Vasander; Jouko Silvola Journal of Bryology 1994. doi:10.1179/jbr.1994.18.1.83

Other claims from this paper (8)
Observationobservedoriginal resultsimulated

Claim · model-written summary

Uniform rate application was adopted when spatial variability was small.

Outcome
uniform rate application techniques were adoptede1
Qualifier
spatial variability was smalle1

Verbatim

t0

“Corn Fields”

✓ located verbatim in the source · title, characters 80–91
e1

“When spatial variability was small, uniform rate application techniques were adopted.”

✓ located verbatim in the source · abstract, characters 265–350

Title

Economic And Environmental Benefits Of Variable Rate Application Of Nitrogen To Corn Fields: Role Of Variability And Weather

Burton C. English; S. B. Mahajanashetti; Roland K. Roberts 1999 Annual meeting, August 8-11, Nashville, TN 1999

Other claims from this paper (3)
Recommendationauthor interpretationoriginal resultbasis n/a

Claim · model-written summary

The authors suggest including soil variability properties in models to improve spatial yield prediction.

Outcome
Soil variability properties may need to be included in modelse0

Verbatim

e0

“Soil variability properties may need to be included in models for improved yield prediction involving spatial nonuniformity.”

✓ located verbatim in the source · abstract, characters 1182–1306
t0

“Spring Wheat”

✓ located verbatim in the source · title, characters 52–64

Title

Interpreting Spatial Yield Variability of Irrigated Spring Wheat

J. C. Guitjens Transactions of the ASAE 1992. doi:10.13031/2013.28574

Other claims from this paper (7)
Associationobservedoriginal resultmeasured

Claim · model-written summary

Shoot spatial location explained only a small part of light climate variability.

Taxon
treee0
Organ / stage
shoote0
Outcome
light climate variabilitye0
Qualifier
only a small parte0

Not reportedDirection

Verbatim

e0

“Spatial location of the shoot in the tree explained only a small part of light climate variability.”

✓ located verbatim in the source · abstract, characters 1158–1257

Title

Spatial and Temporal Variation of Light inside Peach Trees

Michel Génard; Frédéric Baret Journal of the American Society for Horticultural Science 1994. doi:10.21273/jashs.119.4.669

Other claims from this paper (8)
Associationobservedoriginal resultmeasured

Claim · model-written summary

Within models, APAR determined spatial variability in NPP.

Outcome
Spatial variability in NPPe0
Qualifier
APARe0

Not reportedTaxonCompoundDirection

Verbatim

e0

“Spatial variability in NPP within a model proved to be determined by APAR”

✓ located verbatim in the source · abstract, characters 799–872

Title

Comparing global models of terrestrial net primary productivity (NPP): Analysis of differences in light absorption, light-use efficiency, and whole plant respiration cost

Anne Ruimy; Laurent Kergoat; Alberte Bondeau; et al. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester) 1999. doi:10.1046/j.1365-2486.1999.00007.x/full

Other claims from this paper (4)

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