Assessing Larix principis-rupprechtii productivity and its determinants based on national forest inventory data in Hebei Province, China

Tree productivity is not only determined by stand structure, but also influenced by soil chemical properties, climate and topography. However, the relative importance of each indicator on larch ( Larix principis-rupprechtii ) productivity were uncertain. In this study, 76 pure larch forest plots were selected based on national forest inventory (NFI) data in Hebei Province, China. Structural equation model (SEM) was used to analyze the direct and indirect effects of stand structure, soil chemical properties, climate and topography on larch productivity, and to quantify the relative importance of each indicator in determining productivity. The results showed that stem volume growth (SVG) of larch was influenced by a combination of stand density, diameter at breast height (DBH), mean winter snow (PAS), annual temperature range (TD), slope, and alkali-hydrolysis nitrogen (AN). SVG tended to increase with decreasing stand density and AN content and increasing DBH. Stand density, DBH and AN were more important than PAS, TD, and slope in explaining SVG variation. The results can provide a scientific basis for adaptive management of larch forests.

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Publication Details

Journal
Frontiers in Forests and Global Change
Published
2024-09-09
DOI
https://doi.org/10.3389/ffgc.2024.1249298
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessing Larix principis-rupprechtii productivity and its determinants based on national forest inventory data in Hebei Province, China

Zhaoxuan Ge, Jing Zhang, Yiwen Wang, Chong Liu et al.
Frontiers in Forests and Global Change
Forest ecology and management
article

Assessing Larix principis-rupprechtii productivity and its determinants based on national forest inventory data in Hebei Province, China

Zhaoxuan Ge, Jing Zhang, Yiwen Wang, Chong Liu, Zhidong Zhang, Niqiao Fan, Jialong Qian
article en

Abstract

Tree productivity is not only determined by stand structure, but also influenced by soil chemical properties, climate and topography. However, the relative importance of each indicator on larch ( Larix principis-rupprechtii ) productivity were uncertain. In this study, 76 pure larch forest plots were selected based on national forest inventory (NFI) data in Hebei Province, China. Structural equation model (SEM) was used to analyze the direct and indirect effects of stand structure, soil chemical properties, climate and topography on larch productivity, and to quantify the relative importance of each indicator in determining productivity. The results showed that stem volume growth (SVG) of larch was influenced by a combination of stand density, diameter at breast height (DBH), mean winter snow (PAS), annual temperature range (TD), slope, and alkali-hydrolysis nitrogen (AN). SVG tended to increase with decreasing stand density and AN content and increasing DBH. Stand density, DBH and AN were more important than PAS, TD, and slope in explaining SVG variation. The results can provide a scientific basis for adaptive management of larch forests.

Frontiers in Forests and Global ChangeVol. 7
Hebei Agricultural University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hebei Province
Openalex Percentile: Top 86%
Forest ecology and management
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Assessing Larix principis-rupprechtii productivity and its determinants based on national forest inventory data in Hebei Province, China — Zhaoxuan Ge, Jing Zhang, et al. · Frontiers in Forests and Global Change (2024) | TGRS Research Map | TGRS