The Carbon Transfer From Plant to Soil Is More Efficient in Less Productive Ecosystems

Author:

Fan Xianlei1ORCID,Bai Edith12ORCID,Zhang Jing3ORCID,Wang Xuhui4ORCID,Yuan Wenping5ORCID,Piao Shilong467ORCID

Affiliation:

1. Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains Ministry of Education School of Geographical Sciences Northeast Normal University Changchun China

2. Key Laboratory of Vegetation Ecology Ministry of Education Northeast Normal University Changchun China

3. College of Water Sciences Beijing Normal University Beijing China

4. College of Urban and Environmental Sciences Institute of Carbon Neutrality, Sino‐French Institute for Earth System Science Peking University Beijing China

5. School of Atmospheric Sciences Sun Yat‐sen University Zhuhai China

6. Key Laboratory of Alpine Ecology Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China

7. Center for Excellence in Tibetan Earth Science Chinese Academy of Sciences Beijing China

Abstract

AbstractThe organic carbon (C) in soil is mainly from plants via litter decomposition. Here, we developed a new litter decomposition submodel incorporating the microbial biomass effect on the decomposition rate based on the Michaelis‐Menten kinetics. This new submodel was coupled with the existing plant and soil submodels to simulate C cycling in natural ecosystems in the continental United States. The C transfer efficiency (EFF), defined as the percentage of C transferred to the next layer in the plant‐litter‐soil continuum, was quantified in different types of natural ecosystems. We estimated that on average 48.1% of gross primary productivity (GPP) was transferred from plant to litter and 15.1% of litterfall was transferred from litter to soil, meaning that the C that finally enters soil was on average approximately 7.3% of GPP. Ecosystems with a drier climate and lower GPP had higher EFF from plant to soil. The EFF concept we proposed provides an empirical proxy for diagnosing ecosystem C cycling and a framework for projecting the change of C fluxes and C pool sizes in response to climate change. If C transfer can represent energy transfer analogous to Lindeman Efficiency, our results suggest a pattern of resource and energy transfer in nature: higher resource or energy availability usually means lower resource or energy transfer efficiency.

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science,General Environmental Science,Environmental Chemistry,Global and Planetary Change

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