Spatial patterns of light-demanding tree species in the Yangambi rainforest (Democratic Republic of Congo)
Notice bibliographique
Résumé
We are studying the factors of spatial distribution of light-demanding tree species in an undisturbed natural forest to contribute to the elucidation of the enigma of the persistence of light-demanding tree species in the canopy of the Congo Basin rainforests. Our objective was to analyze the current spatial distribution combined with the spatial autocorrelation of light-demanding stems species and to carry out a Canonical Correspondence Analysis (CCA) to discuss the role that different factors may have played in determining the observed spatial pattern. These species were subdivided into three regeneration guilds, based on their growth speed and longevity: short-lived pioneer (SLP), long-lived pioneer (LLP), and non-pioneer light-demanding (NPLD) species. We also compared the distribution of these species to that of Gilbertiodendron dewevrei, a typical extremely aggregative and locally hyperdominant shade-tolerant species. For this purpose, we carried out a selective inventory of all stems (at least 10 cm DBH) of light-demanding species in the forest around the Moni River, an area rich in individuals of light-demanding species. This inventory was carried out along eight transects equidistant by 450 m. The total length of these transects was 50.125 km (an area of 250.625 ha). The sampling units consisted of contiguous plots (200 m x 50 m) centered on the transect (long side parallel to the transect). Each plot was divided into 8 sub-plots of 25 m x 50 m. The parameters directly measured in the field were diameter at breast height (DBH), wetland indicators, topography, and slope. The last three parameters were measured in each sub-plot. The wetland indicators were spring, stream (stream 1 to about 3 m wide that can be forded), river (stream more than 3 m wide and that cannot be forded), temporary or periodically flooded swamp, permanent swamp, and absence of wetland. The modalities of the topography parameter were ridge, plateau, slope break, upward slope, downward slope, and lowland. The slope was measured using the SUUNTO clinometer. The longitude and latitude were deduced from the Cartesian coordinates (X and Y) of each tree, which were measured directly during the inventory. The altitude and distance from the nearest watercourse were deduced from the Geographic Information System (GIS). The altitude was derived from the digital terrain model of the Yangambi region, while the distance to the nearest watercourse was derived from a distance to watercourses map of the Yangambi region.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,047 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».