Spatial variability of surface soil water content and its influencing factors on shady and sunny slopes of an alpine meadow on the Qinghai–Tibetan Plateau
Soil moisture is a vital factor that influences soil characteristics and vegetation distributions in alpine meadow regions. Previous studies have mainly focused on the effects of alpine gradient change, climate change, and human activities on soil hydrological characteristics and vegetation distribu...
Gespeichert in:
Veröffentlicht in: | Global ecology and conservation 2022-04, Vol.34, p.e02035, Article e02035 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Soil moisture is a vital factor that influences soil characteristics and vegetation distributions in alpine meadow regions. Previous studies have mainly focused on the effects of alpine gradient change, climate change, and human activities on soil hydrological characteristics and vegetation distributions worldwide. However, the spatial variability of the surface soil water content and its influencing factors between shady and sunny slopes in alpine regions are seldom conducted, especially on the alpine meadow regions of the Qinghai–Tibetan Plateau. Based on soil sample collection, combined with statistical, geostatistical, stepwise regression, and geographical detector analysis, this study explores the spatial variability of the surface soil water content and its influencing factors on the shady and sunny slopes of the Mila Mountain pass area on the Qinghai–Tibetan Plateau. Results show that the average soil water content of various depths ranges from 23.14% to 35.52%. The soil moisture content of different soil layers on the shady and sunny slopes shows moderate variability. On the sunny slope, the spatial distribution of the soil water content in different soil layers is mostly patched and banded, while the soil water content on the shady slope shows patchy distribution. The correlation analysis shows that the soil water content of each soil layer has a very significant correlation (P |
---|---|
ISSN: | 2351-9894 2351-9894 |
DOI: | 10.1016/j.gecco.2022.e02035 |