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Published on: October 16, 2018
Topography shapes the carbon allocation patterns of alpine forests
Changxing Zhao1, Jinrong Liu1, Wenbo Mou2
1State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730000, China.
Alpine forests adjust carbon allocation based on elevation and microtopography. Plants prioritize roots in resource-limited areas, with specific microhabitat effects varying by elevation.
Area of Science:
- Ecology
- Forest Science
- Biogeochemistry
Background:
- Topography significantly influences alpine forest structure by controlling nutrient and water availability.
- Limited understanding exists on how fine-scale topography affects forest carbon allocation within broader environmental contexts.
Purpose of the Study:
- To investigate the impact of microtopography and elevation on alpine forest carbon allocation patterns.
- To analyze the interactions between microtopographic features and elevation in shaping forest carbon dynamics.
Main Methods:
- Utilized field data from 89 forest plots in the northern Tibetan Plateau.
- Employed a high-resolution (1 m²) digital elevation model (DEM).
- Applied a linear mixed-effects model to analyze carbon allocation patterns.
Main Results:
- Plants allocate more carbon to roots and have lower aboveground carbon stocks (ACS) at low and high elevations due to resource limitations.
- Microtopographic heterogeneity significantly alters carbon allocation, with effects varying across the elevation gradient.
- Specific microhabitat features (wetness, aspect) influence ACS and below- to aboveground carbon stock ratios (RBA) differently at low versus high elevations.
Conclusions:
- Elevation and microtopography are key drivers of carbon allocation in alpine forests.
- Forests exhibit distinct responses to microtopographic variations depending on the broader elevational context.
- Understanding these complex interactions is crucial for predicting alpine forest responses to environmental change.
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