Evapotranspiration Characteristics of Forest and Grass Vegetation and Its Response to Environmental Factors on the Loess Plateau
Notice bibliographique
Résumé
In this paper, the evapotranspiration characteristics and water consumption rules of different types of vegetation in tree forest, shrub forest and grassland in the Loess Plateau of Longzhong region were analyzed, and the response relationship between vegetation evapotranspiration and meteorological factors was established by regression analysis method. The results showed that: (1) The monthly variation of Ea values of vegetation in this region showed an obvious inverted U-shaped bimodal variation, which the lowest Ea values were found in the germination stage of vegetation in early April and the dormancy stage of leaf litter in October, and the Ea values increased greatly in May and June with the enhancement of vegetation transpiration and soil evaporation by an average increase of 74.31%. The Ea values of all types of vegetation in this region reached the maximum value in July and August and began to decline significantly from September by an average decrease of 7.42mm and an average decrease of 24.31%. In October, the Ea values of vegetation rapidly decreased to the level of early April by an average decrease of 15.67mm and a decrease of 51.52% compared with August. (2) The difference in the perspective of spatial distribution of evapotranspiration water consumption of vegetation in this region was mainly manifested in the difference between east and west but a little difference between north and south. In Pingliang City, vegetation evapotranspiration water consumption in the east was higher than that in the west, the south was higher than that in the north, and the Jinghe River basin was higher than that in the Hulu River basin. The average difference of the total evapotranspiration water consumption of the same type of vegetation during the growth period was 19.43mm from east to west, 2.2mm from north to south, and 19.43mm from basin to basin. (3) Radiation and precipitation were the main influencing factors of Ea. Among the independent variable factors affecting evapotranspiration of forest and shrub forest, the difference of significance from large to small was the average monthly temperature, average monthly precipitation, average monthly wind speed and average monthly precipitation days. The effect of monthly mean wind speed on grassland Ea was relatively small.
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Prédiction distillée sur la base complète
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Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| 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 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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
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