Scale-Compatible Aboveground Biomass Estimation Using Canopy Cover: Evidence from the Gobi Desert of Northwest China

Multiple morphological factors of desert plants were employed to construct aboveground biomass (AGB) estimation models in the Gobi Desert, located in the northwestern part of Gansu Province, China, where gravel surfaces account for more than half the area. At the individual scale, estimation models incorporating variables related to canopy cover accurately estimated AGB (R2 = 0.623~0.848). At the quadrat scale, the cover-allometric model effectively estimated multi-species AGB (AGB = 0.302 × Ct0.900, R2 = 0.725). At the regional scale, the model incorporating relative canopy cover was effective for estimating aboveground biomass density (AGBD) and could be combined with regional area estimates to determine the AGB of desert plants at any spatial scale (AGBD = 20.114 × Cr1.043, R2 = 0.8313). AGB estimation models based on canopy cover not only overcome scale limitations but also exhibit a tendency toward improved model fit with increasing scales. However, when applied to remote-sensing data, the model exhibits relatively low fitting accuracy (AGBD = 4.398 × Cr0.538, R2 = 0.3656). It demonstrates good stability when applied to Gobi Desert habitats similar to the study area, but its applicability in other arid regions still requires further validation.

Authors

Institutions

Publication Details

Journal
Plants
Published
2026-11-05
DOI
https://doi.org/10.3390/plants15213444
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Scale-Compatible Aboveground Biomass Estimation Using Canopy Cover: Evidence from the Gobi Desert of Northwest China

Kang Xu, Rujie Ye, Hanjian Hu, Lingchao He
Plants
Forest ecology and management
article

Scale-Compatible Aboveground Biomass Estimation Using Canopy Cover: Evidence from the Gobi Desert of Northwest China

Kang Xu, Rujie Ye, Hanjian Hu, Lingchao He
article en

Abstract

Multiple morphological factors of desert plants were employed to construct aboveground biomass (AGB) estimation models in the Gobi Desert, located in the northwestern part of Gansu Province, China, where gravel surfaces account for more than half the area. At the individual scale, estimation models incorporating variables related to canopy cover accurately estimated AGB (R2 = 0.623~0.848). At the quadrat scale, the cover-allometric model effectively estimated multi-species AGB (AGB = 0.302 × Ct0.900, R2 = 0.725). At the regional scale, the model incorporating relative canopy cover was effective for estimating aboveground biomass density (AGBD) and could be combined with regional area estimates to determine the AGB of desert plants at any spatial scale (AGBD = 20.114 × Cr1.043, R2 = 0.8313). AGB estimation models based on canopy cover not only overcome scale limitations but also exhibit a tendency toward improved model fit with increasing scales. However, when applied to remote-sensing data, the model exhibits relatively low fitting accuracy (AGBD = 4.398 × Cr0.538, R2 = 0.3656). It demonstrates good stability when applied to Gobi Desert habitats similar to the study area, but its applicability in other arid regions still requires further validation.

PlantsVol. 15(21)
Zhejiang Shuren University (CN), Wuxi University (CN), Zhejiang University (CN)
Openalex Percentile: Top 15%
Forest ecology and management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon