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Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Certain ectomycorrhizal taxa showed significant temporal variability.

Taxon
Abies albaAbies albat0
Outcome
temporal variabilitye0
Qualifier
certain ectomycorrhizal taxae0

Verbatim

e0

“significant temporal variability was only confirmed for certain ectomycorrhizal taxa”

✓ located verbatim in the source · abstract, characters 1126–1210
t0

“High Spatial but Low Temporal Variability in Ectomycorrhizal Community Composition in Abies alba Forest Stands”

✓ located verbatim in the source · title, characters 0–110

Title

High Spatial but Low Temporal Variability in Ectomycorrhizal Community Composition in Abies alba Forest Stands

Tina Unuk Nahberger; Hojka Kraigher; Tine Grebenc Microorganisms 2025. doi:10.3390/microorganisms13020308

Other claims from this paper (4)
Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Corn had significantly less temporal yield variability than soybean or sorghum.

Outcome
temporal yield variabilitye0
Direction
lesse0
Comparator
soybean or sorghume0

Verbatim

e0

“Corn had significantly less temporal yield variability than soybean or sorghum.”

✓ located verbatim in the source · abstract, characters 1216–1295

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)
Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Growing season temperature showed significant temporal variability over the last 15-20 years.

Taxon
winegrapeVitis viniferat0
Outcome
temporal variability in GSTe4
Qualifier
over the last 15-20 yearse4

Verbatim

e4

“significant temporal variability in GST over the last 15-20 years was identified”

✓ located verbatim in the source · abstract, characters 1045–1125
t0

“winegrape suitability analysis”

✓ located verbatim in the source · title, characters 61–91

Title

Refining the growing season temperature parameter for use in winegrape suitability analysis

C. Liles; D.C Verdon‐Kidd Australian Journal of Grape and Wine Research 2020. doi:10.1111/ajgw.12447

Other claims from this paper (3)
Associationobservedoriginal resultsignificant (as stated)simulated

Claim · model-written summary

Temporal variability across sowing times significantly affected soybean yield.

Taxon
soybeanGlycine maxe0
Treatment
different sowing timese0
Outcome
soybean yielde0

Not reportedDirection

Verbatim

e0

“temporal variability associated with different sowing times significantly impacts soybean yield.”

✓ located verbatim in the source · abstract, characters 1077–1173

Title

Why should space-time variability of rainfall be considered in precision agriculture for soybean in Piracicaba, São Paulo state?

Thais Letícia dos Santos; Rafael Battisti; Klaus Reichardt; et al. Scientia Agricola 2025. doi:10.1590/1678-992x-2024-0202

Other claims from this paper (2)
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Trait modalities related significantly to temporal and spatial habitat variability.

Taxon
higher plantsEmbryophytat0
Outcome
species trait modalitiese0
Setting
temporal and spatial habitat variabilitye0

Not reportedDirection

Verbatim

e0

“Patterns of species trait modalities were significantly related to temporal and spatial habitat variability”

✓ located verbatim in the source · abstract, characters 1766–1873
t0

“higher plants comprising the Rhône floodplain vegetation”

✓ located verbatim in the source · abstract, characters 221–277

Title

Theoretical habitat templets, species traits, and species richness: floodplain vegetation in the Upper Rhône River

GUY PAUTOU; MARIE‐FRANCOISE ARENS Freshwater Biology 1994. doi:10.1111/j.1365-2427.1994.tb01754.x

Other claims from this paper (8)
Observationobservedoriginal resultsignificant (as stated)simulated

Claim · model-written summary

Temporal variability in grapevine water needs was significant for most of the provinces.

Taxon
grapevinesVitise1
Outcome
Temporal variability in the water needse0
Setting
central Polande1

Verbatim

e0

“Temporal variability in the water needs was significant for most of the provinces”

✓ located verbatim in the source · abstract, characters 629–710
e1

“estimate the water needs of grapevines in central Poland”

✓ located verbatim in the source · abstract, characters 33–89

Title

The Water Requirements of Grapevines (Vitis vinifera L.) Under Climatic Conditions of Central Poland

Stanisław Rolbiecki Rocznik Ochrona Środowiska 2021. doi:10.54740/ros.2021.051

Other claims from this paper (4)
Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Spatio-temporal variability in growth and survival of Ramonda myconi was rather low but significant.

Taxon
Ramonda myconiRamonda myconit0
Outcome
growth and survivale4
Qualifier
rather lowe4

Verbatim

t0

“Effects of regional climate and small-scale habitat quality on performance in the relict species Ramonda myconi”

✓ located verbatim in the source · title, characters 0–111
e4

“Spatio-temporal variability in growth and survival was rather low but significant”

✓ located verbatim in the source · abstract, characters 862–943

Title

Effects of regional climate and small-scale habitat quality on performance in the relict species Ramonda myconi

M. Riba; F.X. Picó; M. Mayol Journal of Vegetation Science 2002. doi:10.1658/1100-9233(2002)013[0259:eorcas]2.0.co;2

Other claims from this paper (6)
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

The optimal machine learning model for cotton LAI prediction varied with days after spraying, with significant temporal variability.

Treatment
days after sprayinge4
Outcome
optimal machine learning prediction modele4

Not reportedDirection

Verbatim

t0

“Characterizing Cotton Defoliation Progress via UAV-Based Multispectral-Derived Leaf Area Index and Analysis of Influencing Factors”

✓ located verbatim in the source · title, characters 0–130
e4

“The optimal machine learning prediction model varied with days after spraying, demonstrating significant temporal variability”

✓ located verbatim in the source · abstract, characters 1388–1513

Title

Characterizing Cotton Defoliation Progress via UAV-Based Multispectral-Derived Leaf Area Index and Analysis of Influencing Factors

Yukun Wang; Zhenwang Zhang; Chenyu Xiao; et al. Remote Sensing 2026. doi:10.3390/rs18040609

Other claims from this paper (3)
Observationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Quality characteristics varied significantly across years.

Taxon
APPLESt0
Outcome
Temporal variability was significant for quality characteristicse0
Qualifier
probably due to differences in weather conditions from year to yeare0

Verbatim

t0

“APPLES”

✓ located verbatim in the source · title, characters 63–69
e0

“Temporal variability was significant for quality characteristics, probably due to differences in weather conditions from year to year”

✓ located verbatim in the source · abstract, characters 1195–1328

Title

SPATIAL AND TEMPORAL VARIABILITY OF YIELD AND FRUIT QUALITY IN APPLES

K.D. Aggelopoulou; G.D. Nanos; T.A. Gemtos Acta Horticulturae 2010. doi:10.17660/actahortic.2010.877.96

Other claims from this paper (9)
Associationobservedoriginal resultsignificant (as stated)measured

Claim · model-written summary

Yield variability was positively correlated with the probability of gleying from seasonal waterlogging.

Outcome
temporal yield variabilitye0e1
Direction
positively correlatede0e1
Qualifier
probability of observing gleying processes associated with waterlogging for part of the yeare0e1
Setting
US Midweste0e1

Verbatim

e0

“temporal yield variability is positively correlated (p < 0.05) with the probability of observing gleying processes associated with waterlogging for part of the year”

✓ located verbatim in the source · abstract, characters 2190–2354
e1

“maize, soybean, wheat and cotton in the US Midwest”

✓ located verbatim in the source · abstract, characters 696–746

Title

Drivers of within-field spatial and temporal variability of crop yield across the US Midwest

Bernardo Maestrini; Bruno Basso Scientific Reports 2018. doi:10.1038/s41598-018-32779-3

Other claims from this paper (2)

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