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“sapling development”

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Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Direct neighborhood variables increased model predictive strength for sapling development.

Taxon: oakQuercuse1
Outcome: predictive strength of the modelse0
Direction: increasede0
Comparator: direct neighborhood variablese0

Not reportedValue

Verbatim

e0
“The predictive strength of the models was especially increased through direct neighborhood variables (e.g., relative space filling)”
✓ located verbatim in the source · abstract, characters 564–695

e1
“more light demanding oak”
✓ located verbatim in the source · abstract, characters 816–840

e2
“model outcome for beech”
✓ located verbatim in the source · abstract, characters 1294–1317

Title

Advanced Aboveground Spatial Analysis as Proxy for the Competitive Environment Affecting Sapling Development

Peter Annighöfer; Dominik Seidel; Andreas Mölder; et al. Frontiers in Plant Science 2019. doi:10.3389/fpls.2019.00690

Other claims from this paper (9)

Association Space availability strongly drove biomass allocation patterns in oak saplings.
Association Light availability significantly affected diameter and height growth of both species.
Association Neighborhood variables partly affected diameter and height growth in both species.
Association Leaf-area ratio decreased as light availability increased.
Method / resource Neighborhood conditions did not explain mean branch weight for oak.
Method / resource The model outcome for beech branch morphology was hard to interpret.
Association Saplings of the same species performed differently under constant light but differing neighborhoods.
Method / resource Terrestrial laser scanners were useful for assessing tree neighborhoods.
Mechanism The authors interpreted dense neighborhood response as coping with reduced lateral light availability aboveground.

Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

Simulations from the model were realistic relative to actual sapling crown architecture.

Taxon: Larix laricinaLarix laricinat0
Outcome: realistic in their interpretationse0
Comparator: actual sapling crown architecturee0

Verbatim

t0
“Larix laricina”
✓ located verbatim in the source · title, characters 22–36

e0
“Simulations based on the alternatives within the model were realistic in their interpretations of actual sapling crown architecture”
✓ located verbatim in the source · abstract, characters 1166–1297

Title

Crown architecture of Larix laricina saplings: quantitative analysis and modelling of (nonsylleptic) order 1 branching in relation to development of the main stem

W. R. Remphrey; G. R. Powell Canadian Journal of Botany 1984. doi:10.1139/b84-260

Other claims from this paper (1)

Association Lengths of current shoots of major order 1 branches tended to decrease with increasing depth in the crown.

Method / resourceobservedoriginal resultno effectmeasured

Claim · model-written summary

Neighborhood conditions did not explain mean branch weight for oak.

Taxon: oakQuercuse0
Outcome: mean branch weighte0
Comparator: branch morphologye0

Not reportedValue

Verbatim

e0
“the branch morphology (as mean branch weight) could not be explained for oak”
✓ located verbatim in the source · abstract, characters 1209–1285

Title

Advanced Aboveground Spatial Analysis as Proxy for the Competitive Environment Affecting Sapling Development

Peter Annighöfer; Dominik Seidel; Andreas Mölder; et al. Frontiers in Plant Science 2019. doi:10.3389/fpls.2019.00690

Other claims from this paper (9)

Method / resource Direct neighborhood variables increased model predictive strength for sapling development.
Association Space availability strongly drove biomass allocation patterns in oak saplings.
Association Light availability significantly affected diameter and height growth of both species.
Association Neighborhood variables partly affected diameter and height growth in both species.
Association Leaf-area ratio decreased as light availability increased.
Method / resource The model outcome for beech branch morphology was hard to interpret.
Association Saplings of the same species performed differently under constant light but differing neighborhoods.
Method / resource Terrestrial laser scanners were useful for assessing tree neighborhoods.
Mechanism The authors interpreted dense neighborhood response as coping with reduced lateral light availability aboveground.

Method / resourceobservedoriginal resultmeasured

Claim · model-written summary

The model outcome for beech branch morphology was hard to interpret.

Taxon: beeche0
Outcome: model outcomee0
Comparator: branch morphologye1

Not reportedValue

Verbatim

e0
“the model outcome for beech was hard to interpret”
✓ located verbatim in the source · abstract, characters 1290–1339

e1
“branch morphology (as mean branch weight)”
✓ located verbatim in the source · abstract, characters 1213–1254

Title

Advanced Aboveground Spatial Analysis as Proxy for the Competitive Environment Affecting Sapling Development

Peter Annighöfer; Dominik Seidel; Andreas Mölder; et al. Frontiers in Plant Science 2019. doi:10.3389/fpls.2019.00690

Other claims from this paper (9)

Method / resource Direct neighborhood variables increased model predictive strength for sapling development.
Association Space availability strongly drove biomass allocation patterns in oak saplings.
Association Light availability significantly affected diameter and height growth of both species.
Association Neighborhood variables partly affected diameter and height growth in both species.
Association Leaf-area ratio decreased as light availability increased.
Method / resource Neighborhood conditions did not explain mean branch weight for oak.
Association Saplings of the same species performed differently under constant light but differing neighborhoods.
Method / resource Terrestrial laser scanners were useful for assessing tree neighborhoods.
Mechanism The authors interpreted dense neighborhood response as coping with reduced lateral light availability aboveground.

Method / resourceobservedoriginal resultpositivesimulated

Claim · model-written summary

The simulated leaf-to-air temperature difference can define a minimum air temperature threshold for plant development.

Taxon: Citrus PlantCitrust0
Outcome: minimum threshold air temperature for proper plant developmente0
Comparator: simulated temperature difference between the leaves and the internal air of the greenhousee0

Verbatim

t0
“Citrus Plant”
✓ located verbatim in the source · title, characters 34–46

e0
“the simulated temperature difference between the leaves and the internal air of the greenhouse can be used to define the minimum threshold air temperature for proper plant development under the greenhouse conditions”
✓ located verbatim in the source · abstract, characters 998–1213

Title

Study of Microclimate and Sapling Citrus Plant Transpiration in Tunnel Greenhouse Under Mediterranean Conditions

Adil Bekraoui; Hicham Fatnassi; Ahmed Mohammed Saad Kheir; et al. Acta Technologica Agriculturae 2022. doi:10.2478/ata-2022-0010

Other claims from this paper (5)

Observation Greenhouse air temperature varied from 6 to 33 °C.
Observation Citrus leaf temperature varied from 8 to 30 °C.
Observation Greenhouse air humidity exceeded 80%.
Observation Citrus transpiration varied during the day from 1.9 to 65.7 mg m −2 ·s −1.
Method / resource Simulated leaf temperature can serve as an indirect indicator of plant water stress.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Terrestrial laser scanners were useful for assessing tree neighborhoods.

Taxon: oakQuercuse1
Outcome: Assessing the neighborhood of treese0
Comparator: terrestrial laser scannerse0

Not reportedValue

Verbatim

e0
“Assessing the neighborhood of trees with highly precise measurement devices, like terrestrial laser scanners, proved to be useful”
✓ located verbatim in the source · abstract, characters 1482–1611

e1
“more light demanding oak”
✓ located verbatim in the source · abstract, characters 816–840

Title

Advanced Aboveground Spatial Analysis as Proxy for the Competitive Environment Affecting Sapling Development

Peter Annighöfer; Dominik Seidel; Andreas Mölder; et al. Frontiers in Plant Science 2019. doi:10.3389/fpls.2019.00690

Other claims from this paper (9)

Method / resource Direct neighborhood variables increased model predictive strength for sapling development.
Association Space availability strongly drove biomass allocation patterns in oak saplings.
Association Light availability significantly affected diameter and height growth of both species.
Association Neighborhood variables partly affected diameter and height growth in both species.
Association Leaf-area ratio decreased as light availability increased.
Method / resource Neighborhood conditions did not explain mean branch weight for oak.
Method / resource The model outcome for beech branch morphology was hard to interpret.
Association Saplings of the same species performed differently under constant light but differing neighborhoods.
Mechanism The authors interpreted dense neighborhood response as coping with reduced lateral light availability aboveground.

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

TOPSIS identified S14 as the optimal treatment.

Taxon: Eucalyptus maideniiEucalyptus globulus subsp. maideniit0
Treatment: S14 (150 W, 2 n, 15 s, 2 d)e0
Outcome: optimal treatmente0
Value: 150 W, 2 n, 15 s, 2 de0

Verbatim

e0
“Comprehensive evaluation using the TOPSIS model identified S14 (150 W, 2 n, 15 s, 2 d) as the optimal treatment”
✓ located verbatim in the source · abstract, characters 1117–1228

t0
“Eucalyptus maidenii”
✓ located verbatim in the source · title, characters 85–104

Title

Effects of cold plasma treatment on the development and physiological performance of Eucalyptus maidenii from seedling to sapling

Zhenmin He; Zhengxiong Zhao; Lingrong Kong; et al. BMC Plant Biology 2026. doi:10.1186/s12870-026-09027-2

Other claims from this paper (6)

Intervention effect Cold plasma generally promoted germination and seed vigor.
Intervention effect Cold plasma enhanced seedling morphology.
Intervention effect Cold plasma enhanced seedling photosynthetic performance.
Intervention effect Cold plasma improved sapling growth characteristics.
Intervention effect Cold plasma influenced sapling photosynthetic enzyme activity, osmotic regulation substances and chlorophyll accumulation.
Intervention effect Cold plasma influenced sapling oxidative stress indicators.

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“sapling development”

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