Logistic model outperforms allometric regression to estimate biomass of xerophytic shrubs

Logistic model outperforms allometric regression to estimate biomass of xerophytic shrubs

Allometric model has been applied worldwide to estimate vegetation biomass for decades. However, this model fails to restrict the accelerating increase of biomass as body size grows. That contradicts to the size-related resource limits and intra-specific competitions. Thus, we tested logistic model...

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Bibliographic Details
Main Authors: Fu, B. (Author), Gao, G. (Author), Li, Y. (Author), Ma, J. (Author), Yuan, C. (Author), Zhou, J. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Allometric models
Allometric regressions
allometry
Anthropometry
biomass
Biomass
Body sizes
Caragana korshinskii
carrying capacity
China
climate change
Climate change
Climate models
Ecology
Equilibrium biomass
estimation method
Goodness of fit
Goodness-of-fit
Growth rate
Loess Plateau
Logistics model
Mean square error
numerical model
Point of inflection
Points of inflections
regression analysis
Representative sampling
Salix psammophila
shrub
Vegetation biomass
Vitex negundo
Xerophytic shrubs
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