Plant biomass allocation and driving factors of grassland revegetation in a Qinghai‐Tibetan Plateau chronosequence

Biomass allocation is a key factor in understanding how ecosystems respond to changing environmental conditions. The role of soil chemistry in the above‐ and belowground plant biomass allocation in restoring grassland is still incompletely characterized. Consequently, it has led to two competing hyp...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Land degradation & development 2021-02, Vol.32 (4), p.1732-1741
Hauptverfasser: Gao, Xiaoxia, Dong, Shikui, Xu, Yudan, Fry, Ellen L., Li, Yu, Li, Shuai, Shen, Hao, Xiao, Jiannan, Wu, Shengnan, Yang, Mingyue, Zhang, Jing, Zhi, Yangliu, Liu, Shiliang, Shang, Zhanhuan, Yeomans, Jane C.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Biomass allocation is a key factor in understanding how ecosystems respond to changing environmental conditions. The role of soil chemistry in the above‐ and belowground plant biomass allocation in restoring grassland is still incompletely characterized. Consequently, it has led to two competing hypotheses for biomass allocation: optimal partitioning, where the plants allocate biomass preferentially to optimize resource use; and the isometric hypothesis, which postulates that biomass allocation between roots and shoots is fixed. Here we tested these hypotheses over a chronosequence of alpine grasslandsion undergoing restoration in the Qinghai‐Tibetan Plateau, these range from severely degraded to those with 18 years of revegetation with an intact grassland (as a reference). A high proportion of biomass was allocated to the roots in the revegetated grasslands, and more biomass to shoots in the degraded and intact grasslands. The grasslands gradually decreased their root to shoot ratio as revegetation continued, with the lowest value in year 18 of revegetation. Our results showed that aboveground biomass (AGB) was increased by available phosphorus (P), soil moisture, and negatively related to bulk density, while belowground biomass (BGB) was positively impacted by total P and negatively by nitrate nitrogen (N). The trade‐off between them was positively associated with available P and nitrate‐N, and soil nutrient availability is more linked to increased AGB relative to BGB. Our study indicates that biomass allocation is highly variable during the revegetation period from degraded grassland, and is linked with soil properties, thus supporting the optimal partitioning hypothesis.
ISSN:1085-3278
1099-145X
DOI:10.1002/ldr.3819