Photosynthetic response, carbon isotopic composition, survival, and growth of three stock types under water stress enhanced by vegetative competition
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Selecting the proper stock type for reforestation on dry sites can be critical for the long-term survival and growth of seedlings. In this study, we use a novel approach to understand stock type selection on a site where drought was induced with vegetative competition. Three ponderosa pine (Pinus ponderosa Lawson & C. Lawson var. ponderosa C. Lawson) seed- ling stock types were planted in the field and subjected to three levels of competition. Winter wheat (Triticum aestivum L. em.) was sown in three densities (0, 150, and 300 plants·m -2 ) and was successfully used as a model competitor to create drought conditions. High rates of net photosynthesis (A) indicated that seedlings with adequate soil moisture and without vegetative competition were established within three weeks. Conversely, low A, low soil moisture, and low predawn water potential measurements indicated that seedlings planted with vegetative competition were moisture-stressed and not estab- lished. Drought conditions created by the wheat caused 100% mortality among smaller stock types, whereas the largest stock type had a 63%-75% mortality rate. Measures of stable carbon isotopes showed stratification based on water availability, with significant d 13 C enrichment in competition treatments. Soil moisture is critical for seedlings to establish quickly after planting. Our data suggest that proper stock type selection on drought- or vegetation-prone sites can confer survival and growth benefits. Resume : Le choix du type de stock approprie pour le reboisement des stations seches peut etre determinant pour la survie et la croissance a long terme des semis. Dans cette etude, nous avons utilise une nouvelle approche pour comprendre com- ment choisir le type de stock dans une station ou la secheresse a ete provoquee par la vegetation competitrice. Trois types de stock de semis de pin ponderosa typique (Pinus ponderosa Lawson & C. Lawson var. ponderosa C. Lawson) ont ete plantes au champ et soumis a trois niveaux de competition. Le ble d'hiver (Triticum aestivum L. em.) a ete seme a trois den- sites (0, 150 et 300 plants·m -2 ) et a ete utilise avec succes comme competiteur modele pour creer des conditions de seche- resse. Des taux eleves de photosynthese nette (A) indiquaient que les semis s'etaient etablis apres moins de trois semaines si l'humidite du sol etait adequate et qu'il n'y avait pas de vegetation competitrice. A l'inverse, de faibles valeurs de A ,d 'hu- midite du sol et de potentiel hydrique de base indiquaient que les semis plantes en presence de vegetation competitrice su- bissaient un stress hydrique et ne s'etaient pas etablis. Les conditions de secheresse engendree par le ble ont cause 100 % de mortalite chez les types de stock plus petits tandis que les types de stock les plus gros avaient un taux de mortalite de 63-75 %. Des mesures des isotopes stables de carbone ont montre que qu'il y avait une stratification basee sur la disponibi- lite de l'eau qui se traduisait par un enrichissement significatif de d 13 C dans les traitements ou il y avait de la competition. L'humidite du sol est cruciale pour que les semis s'etablissent rapidement apres la plantation. Nos donnees indiquent que le choix du type de stock approprie dans les stations sujettes a la secheresse ou la vegetation peut avoir un effet benefique sur la survie et la croissance. (Traduit par la Redaction)
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it