Aboveground carbon sequestration of Cunninghamia lanceolata forests: Magnitude and drivers

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Aboveground carbon sequestration of Cunninghamia lanceolata forests: Magnitude and drivers. / Wang, Chen; Liu, Shuguang; Zhu, Yu et al.
In: Forest Ecosystems, 24.01.2024.

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Wang C, Liu S, Zhu Y, Smith A, Ning Y, Deng D. Aboveground carbon sequestration of Cunninghamia lanceolata forests: Magnitude and drivers. Forest Ecosystems. 2024 Jan 24;100165. Epub 2024 Jan 5. doi: 10.1016/j.fecs.2024.100165

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Wang, Chen ; Liu, Shuguang ; Zhu, Yu et al. / Aboveground carbon sequestration of Cunninghamia lanceolata forests: Magnitude and drivers. In: Forest Ecosystems. 2024.

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TY - JOUR

T1 - Aboveground carbon sequestration of Cunninghamia lanceolata forests: Magnitude and drivers

AU - Wang, Chen

AU - Liu, Shuguang

AU - Zhu, Yu

AU - Smith, Andy

AU - Ning, Ying

AU - Deng, Deming

PY - 2024/1/24

Y1 - 2024/1/24

N2 - Understanding the spatial variation, temporal changes, and their underlying driving forces of carbon sequestration in various forests is of great importance for understanding the carbon cycle and carbon management options. How carbon density and sequestration in various Cunninghamia lanceolata forests, extensively cultivated for timber production in subtropical China, vary with biodiversity, forest structure, environment, and cultural factors remain poorly explored, presenting a critical knowledge gap for realizing carbon sequestration supply potential through management. Based on a large-scale database of 449 permanent forest inventory plots, we quantified the spatial-temporal heterogeneity of aboveground carbon densities and carbon accumulation rates in Cunninghamia lanceolate forests in Hunan Province, China, and attributed the contributions of stand structure, environmental, and management factors to the heterogeneity using quantile age-sequence analysis, partial least squares path modeling (PLS-PM), and hot-spot analysis. The results showed lower values of carbon density and sequestration on average, in comparison with other forests in the same climate zone (i.e., subtropics), with pronounced spatial and temporal variability. Specifically, quantile regression analysis using carbon accumulation rates along an age sequence showed large differences in carbon sequestration rates among underperformed and outperformed forests (0.50 and 1.80 ​Mg⋅​ha−1·yr−1). PLS-PM demonstrated that maximum DBH and stand density were the main crucial drivers of aboveground carbon density from young to mature forests. Furthermore, species diversity and geo-topographic factors were the significant factors causing the large discrepancy in aboveground carbon density change between low- and high-carbon-bearing forests. Hotspot analysis revealed the importance of culture attributes in shaping the geospatial patterns of carbon sequestration. Our work highlighted that retaining large-sized DBH trees and increasing shade-tolerant tree species were important to enhance carbon sequestration in C. lanceolate forests.

AB - Understanding the spatial variation, temporal changes, and their underlying driving forces of carbon sequestration in various forests is of great importance for understanding the carbon cycle and carbon management options. How carbon density and sequestration in various Cunninghamia lanceolata forests, extensively cultivated for timber production in subtropical China, vary with biodiversity, forest structure, environment, and cultural factors remain poorly explored, presenting a critical knowledge gap for realizing carbon sequestration supply potential through management. Based on a large-scale database of 449 permanent forest inventory plots, we quantified the spatial-temporal heterogeneity of aboveground carbon densities and carbon accumulation rates in Cunninghamia lanceolate forests in Hunan Province, China, and attributed the contributions of stand structure, environmental, and management factors to the heterogeneity using quantile age-sequence analysis, partial least squares path modeling (PLS-PM), and hot-spot analysis. The results showed lower values of carbon density and sequestration on average, in comparison with other forests in the same climate zone (i.e., subtropics), with pronounced spatial and temporal variability. Specifically, quantile regression analysis using carbon accumulation rates along an age sequence showed large differences in carbon sequestration rates among underperformed and outperformed forests (0.50 and 1.80 ​Mg⋅​ha−1·yr−1). PLS-PM demonstrated that maximum DBH and stand density were the main crucial drivers of aboveground carbon density from young to mature forests. Furthermore, species diversity and geo-topographic factors were the significant factors causing the large discrepancy in aboveground carbon density change between low- and high-carbon-bearing forests. Hotspot analysis revealed the importance of culture attributes in shaping the geospatial patterns of carbon sequestration. Our work highlighted that retaining large-sized DBH trees and increasing shade-tolerant tree species were important to enhance carbon sequestration in C. lanceolate forests.

KW - carbon density

KW - Carbon accumulation rate

KW - forest age

KW - Spatial variation

KW - cultural influence

U2 - 10.1016/j.fecs.2024.100165

DO - 10.1016/j.fecs.2024.100165

M3 - Article

JO - Forest Ecosystems

JF - Forest Ecosystems

SN - 2095-6355

M1 - 100165

ER -