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Observationobservedoriginal resultmeasured

Claim · model-written summary

Bud burst showed moderate spatial variability with a similar pattern in both years.

Taxon
GrapevineVitist0
Outcome
moderate spatial variabilitye0
Setting
vineyarde0

Verbatim

e0

“Bud burst percentage within the vineyard showed moderate spatial variability, and the overall spatial pattern of bud burst percentage was similar between the two years”

✓ located verbatim in the source · abstract, characters 969–1136
t0

“Grapevine”

✓ located verbatim in the source · title, characters 23–32

Title

Spatial Variability of Grapevine Bud Burst Percentage and Its Association with Soil Properties at Field Scale

Tao Li; Xinmei Hao; Shaozhong Kang PLoS ONE 2016. doi:10.1371/journal.pone.0165738

Other claims from this paper (7)
Observationobservedoriginal resultprojected

Claim · model-written summary

The maturity prediction map showed clear spatial variability.

Taxon
Winter WheatTriticum aestivumt0
Outcome
obvious spatial variabilitye0

Verbatim

e0

“Besides that, the distribution map of maturity prediction showed obvious spatial variability.”

✓ located verbatim in the source · abstract, characters 2310–2403
t0

“Winter Wheat”

✓ located verbatim in the source · title, characters 9–21

Title

Regional Winter Wheat Maturity Date Prediction Using Remote Sensing-Crop Model Data Assimilation and Numerical Weather Prediction

Xinran Gao; Jianxi Huang; Hongyuan Ma; et al. 2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics) 2018. doi:10.1109/agro-geoinformatics.2018.8476094

Other claims from this paper (5)
Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The atlas presented spatial variability of plant phenophase data in geovisualisations.

Taxon
plantsViridiplantaee0
Outcome
spatial variability of phenological data of plantse0

Not reportedComparatorValue

Verbatim

e0

“present spatial variability of phenological data of plants in a series of geovisualisations presenting various phenophases”

✓ located verbatim in the source · abstract, characters 1423–1545
e1

“45 wild plants’ observing programme”

✓ located verbatim in the source · abstract, characters 591–626

Title

ANALYSES AND GEOVISUALIZATION OF PHENOPHASES

Alena Vondráková 2011

Associationobservedoriginal resultmeasured

Claim · model-written summary

Temporal variability of the rice crop calendar exceeded spatial variability.

Taxon
rice cropOryza sativae1
Outcome
variability of the rice crop calendare0
Direction
high compared toe0
Comparator
inter-village (spatial) variabilitye0

Verbatim

e0

“inter-annual (temporal) variability of the rice crop calendar is high compared to the inter-village (spatial) variability.”

✓ located verbatim in the source · abstract, characters 1130–1252
e1

“the rice crop was compared with the phonological stages”

✓ located verbatim in the source · abstract, characters 237–292

Title

Analyzing The Impact Of Spatio-Temporal Climate Variations On The Rice Crop Calendar In Pakistan

Imran, Muhammad; Iqra Basit; Mobushir Riaz Khan; et al. Zenodo (CERN European Organization for Nuclear Research) 2018. doi:10.5281/zenodo.1317168

Other claims from this paper (4)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Site mean Fagus model predictions reproduced spatial leaf colouring variability with efficiency 0.44.

Taxon
FagusFaguse0
Outcome
spatial variability of leaf colouringe0
Value
0.44e0
Setting
French territorye0

Verbatim

e0

“model predictions reproduced spatial variability of leaf colouring over the French territory with good efficiency (modelling efficiencies: 0.44 forFagus, 0.45 forQuercus)”

✓ located verbatim in the source · abstract, characters 1151–1321

Title

Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France

Nicolas Delpierre; Éric Dufrêne; Kamel Soudani; et al. EGU General Assembly Conference Abstracts 2010

Other claims from this paper (10)
Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Site mean Quercus model predictions reproduced spatial leaf colouring variability with efficiency 0.45.

Taxon
QuercusQuercuse0
Outcome
spatial variability of leaf colouringe0
Value
0.45e0
Setting
French territorye0

Verbatim

e0

“model predictions reproduced spatial variability of leaf colouring over the French territory with good efficiency (modelling efficiencies: 0.44 forFagus, 0.45 forQuercus)”

✓ located verbatim in the source · abstract, characters 1151–1321

Title

Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France

Nicolas Delpierre; Éric Dufrêne; Kamel Soudani; et al. EGU General Assembly Conference Abstracts 2010

Other claims from this paper (10)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Bud bank density had high spatial and seasonal variability.

Taxon
tallgrass prairieplant populationst0
Outcome
high spatial and seasonal variabilitye0

Verbatim

e0

“Bud bank densities ranged from approximately 600 to 1800 meristems/m(2) among sites and had high spatial and seasonal variability”

✓ located verbatim in the source · abstract, characters 418–547
t0

“tallgrass prairieplant populations”

✓ located verbatim in the source · title, characters 49–83

Title

Belowground bud banks and meristem limitation in tallgrass prairieplant populations

Emily J. Benson; David C. Hartnett; Kale H. Mann American Journal of Botany 2004. doi:10.3732/ajb.91.3.416

Other claims from this paper (9)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Leaf size and shape showed intraspecific variability at small spatial scale.

Organ / stage
leafe0
Outcome
intraspecific variability of leaf size and shapee0
Qualifier
small spatial scalee0

Not reportedTaxon

Verbatim

e0

“This study showed a specific pattern of intraspecific variability of leaf size and shape at a small spatial scale”

✓ located verbatim in the source · abstract, characters 471–584

Title

Intraspecific Variability of the Sessile Oak (Quercus petraea Matt. Liebl.) Leaf Traits from the Mount Kosmaj (Serbia)

M. Jovanović; I. Kerkez Janković; J. Milovanović; et al. Biology Bulletin 2023. doi:10.1134/s1062359023602471

Other claims from this paper (3)
Observationobservedoriginal resultmeasured

Claim · model-written summary

Within vintages, spatial variability in flowering time was small.

Taxon
vinet0
Outcome
spatial variabilitye0
Direction
smalle0
Qualifier
inside a given vintagee0

Verbatim

e0

“The timing of flowering varied from one vintage to another but inside a given vintage spatial variability was small, and so was variability induced by the cultivar.”

✓ located verbatim in the source · abstract, characters 1644–1808
t0

“vine”

✓ located verbatim in the source · title, characters 71–75

Title

Variability of climate, water and nitrogen status and its influence on vine phenology and grape composition inside a small winegrowing estate

Laure de Rességuier; Renan Le Roux; Théo Petitjean; et al. Springer Link (Chiba Institute of Technology) 2018. doi:10.1051/e3sconf/20185001016/pdf

Other claims from this paper (18)
Associationobservedoriginal resultmeasured

Claim · model-written summary

Field differences in the timing of pollen formation or flowering explained spatial sterility variability.

Organ / stage
pollen formation and/or floweringe0
Outcome
spatial variabilitye0

Not reportedDirection

Verbatim

e0

“The large spatial variability was explained by the date on which pollen formation and/or flowering occurred in each field.”

✓ located verbatim in the source · abstract, characters 697–819
t0

“rice”

✓ located verbatim in the source · title, characters 60–64

Title

Analysis of factors affecting spikelet sterility in flooded rice under field conditions in Chile

R. Ortega Blu Archives of Agronomy and Soil Science 2007. doi:10.1080/03650340601124875

Other claims from this paper (4)

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