Declining grassland canopy height in China under asymmetric biomass allocation

H Huaqiang Li X Xinmiao Hu F Fei Li Y Yingjun Zhang K Kejian Lin J Jie Wang (State Key Laboratory of Molecular Oncology, Beijing Key Laboratory, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology Cancer Hospital, Chinese Academy of Medical Sciences Beijing China) J Jiating Wang (Jiangsu Provincial Key Laboratory of Dermatology, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College)

Abstract

Abstract Grassland canopy height is one of the most important traits for determining plant diversity and community structure, directly affecting the resource use efficiency of livestock in grassland ecosystems. However, broad-scale changes in grassland canopy height are seldom reported due to the complex effects of species aggregation on both interspecific and intraspecific structures. Here, we decouple grassland aboveground biomass into vertical and horizontal allocations, thereby offering a pathway to mirror changes in grassland canopy height. Grassland aboveground biomass is estimated using a machine learning algorithm by fusing climatic factors, satellite-driving metrics, and 8-year consecutive ground-truth surveys; the horizontal allocation of grassland aboveground biomass is derived from optimized linear spectral mixture analysis. We find that changes in horizontal biomass allocation primarily accounted for increases in Chinese grassland aboveground biomass from 2001 to 2022, resulting in a significant decline in grassland canopy height. The decline in grassland canopy height is shaped by reduced radiation and, more importantly, by the combined effects of warming and grazing, while also being related to variations in plant diversity. The dwarfing grassland community with declining canopy height may increase the impact of livestock disturbances, thus diminishing the resistance of grassland ecosystems to climate fluctuations.

Article Details

Volume / Issue Vol. 17, Issue 1
Published March 03, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (7)

H

Huaqiang Li

X

Xinmiao Hu

F

Fei Li

Y

Yingjun Zhang

K

Kejian Lin

J

Jie Wang

State Key Laboratory of Molecular Oncology, Beijing Key Laboratory, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology Cancer Hospital, Chinese Academy of Medical Sciences Beijing China

J

Jiating Wang

Jiangsu Provincial Key Laboratory of Dermatology, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College