Forest Type Impacts Productivity in Karst Forests More Than Soil Nutrient Stocks and Multi‐Trophic Biodiversity

ABSTRACT Current research has confirmed that forest productivity in non‐karst regions is closely related to biodiversity. However, the relationship between forest productivity and multi‐trophic biodiversity remains unclear in karst habitats, characterized by thin soil layers and limited soil nutrients. To better understand the productivity of natural and planted forests in karst regions and main impact factors on the forest productivity, we selected restored karst forests in the southwest of China. By using methods such as high‐throughput sequencing, the Mantel test, random forest model, and structural equation model, we analyzed the differences in productivity, habitat factors, and multi‐trophic biodiversity between natural forests and planted forests and explored the key influencing factors for productivity of karst forests. The findings indicated that the aboveground, belowground, and total productivity of planted forests were significantly higher than those of natural forests. Conversely, the soil nutrient stocks, multi‐trophic biodiversity, and plant diversity of natural forests were significantly higher than those of planted forests. Moreover, the complexity of the multi‐trophic co‐occurrence network in planted forests was higher than that in natural forests. The Mantel test revealed significant positive correlations between soil nutrient stocks, soil moisture content, altitude, slope position, soil layer thickness, multi‐trophic biodiversity, and forest aboveground productivity, belowground productivity, and total productivity. The random forest model identified soil nutrient stocks as the most significant factor influencing the karst forest productivity. The structural equation model showed that stand characteristics, soil nutrient stocks, and multi‐trophic biodiversity collectively explained 69% of the total productivity variation. Forest type could not only directly impact the total productivity but also affect the total productivity along with the changes in soil nutrient stocks. This study is conducive to a deeper understanding of the formation mechanism of productivity in Southwest karst forests.

Authors

Institutions

Publication Details

Journal
Land Degradation and Development
Published
2026-05-27
DOI
https://doi.org/10.1002/ldr.70692
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Forest Type Impacts Productivity in Karst Forests More Than Soil Nutrient Stocks and Multi‐Trophic Biodiversity

Hailong Zhang, Xi Zhang, Wenhui Sun, Zhaoxia Zeng et al.
Land Degradation and Development
Soil Carbon and Nitrogen Dynamics
article

Forest Type Impacts Productivity in Karst Forests More Than Soil Nutrient Stocks and Multi‐Trophic Biodiversity

Hailong Zhang, Xi Zhang, Wenhui Sun, Zhaoxia Zeng, Gongxiu He, Fuping Zeng, Lili Yang, Hu Du
article en

Abstract

ABSTRACT Current research has confirmed that forest productivity in non‐karst regions is closely related to biodiversity. However, the relationship between forest productivity and multi‐trophic biodiversity remains unclear in karst habitats, characterized by thin soil layers and limited soil nutrients. To better understand the productivity of natural and planted forests in karst regions and main impact factors on the forest productivity, we selected restored karst forests in the southwest of China. By using methods such as high‐throughput sequencing, the Mantel test, random forest model, and structural equation model, we analyzed the differences in productivity, habitat factors, and multi‐trophic biodiversity between natural forests and planted forests and explored the key influencing factors for productivity of karst forests. The findings indicated that the aboveground, belowground, and total productivity of planted forests were significantly higher than those of natural forests. Conversely, the soil nutrient stocks, multi‐trophic biodiversity, and plant diversity of natural forests were significantly higher than those of planted forests. Moreover, the complexity of the multi‐trophic co‐occurrence network in planted forests was higher than that in natural forests. The Mantel test revealed significant positive correlations between soil nutrient stocks, soil moisture content, altitude, slope position, soil layer thickness, multi‐trophic biodiversity, and forest aboveground productivity, belowground productivity, and total productivity. The random forest model identified soil nutrient stocks as the most significant factor influencing the karst forest productivity. The structural equation model showed that stand characteristics, soil nutrient stocks, and multi‐trophic biodiversity collectively explained 69% of the total productivity variation. Forest type could not only directly impact the total productivity but also affect the total productivity along with the changes in soil nutrient stocks. This study is conducive to a deeper understanding of the formation mechanism of productivity in Southwest karst forests.

Land Degradation and Development
Central South University of Forestry and Technology (CN), Central South University (CN), Guizhou Normal University (CN), Institute of Subtropical Agriculture (CN)
Natural Science Foundation of Guangxi Zhuang Autonomous Region, National Natural Science Foundation of China
Openalex Percentile: Top 8%
Soil Carbon and Nitrogen Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.