Stability Dynamics of Representative Forest Plant Communities in Northeast China

To evaluate the stability dynamics of typical forest plant communities in Northeast China, 57 forest plots were surveyed in 2009 and surveyed again in 2014. By adapting temporary stability (TS) as the community stability indicator, all plots were divided into three groups of low, moderate, and high stability, and the community initial state and state changes in different groups were analyzed. Results showed that the first dominant species in 15.8% (3/19) of plots was replaced by the second dominant species from 2009 to 2014 in the low stability group, but no such changes occurred in the moderate and high stability groups. The TS change amplitude was obvious in the low stability group, while that was slight in the high stability group. The relative basal area of the top two species was close in the low stability group in both 2009 and 2014, while the first dominant species was prominent in the high stability group. Communities in the high stability group had lower tree diversity, and those in the low stability group had more trees in 2009. Furthermore, tree size increased significantly in the low and moderate stability groups, and tree number decreased significantly in the moderate stability group from 2009 to 2014. The TS indicator is feasible in describing the stability state and change processes of forest plant communities on a time scale.

Authors

Institutions

Publication Details

Journal
Diversity
Published
2025-09-02
DOI
https://doi.org/10.3390/d17090616
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Stability Dynamics of Representative Forest Plant Communities in Northeast China

Shusen Ge, Zhiyuan Jia, Yutang Li, Dongwei Kang
Diversity
Ecology and Vegetation Dynamics Studies
article

Stability Dynamics of Representative Forest Plant Communities in Northeast China

Shusen Ge, Zhiyuan Jia, Yutang Li, Dongwei Kang
article en

Abstract

To evaluate the stability dynamics of typical forest plant communities in Northeast China, 57 forest plots were surveyed in 2009 and surveyed again in 2014. By adapting temporary stability (TS) as the community stability indicator, all plots were divided into three groups of low, moderate, and high stability, and the community initial state and state changes in different groups were analyzed. Results showed that the first dominant species in 15.8% (3/19) of plots was replaced by the second dominant species from 2009 to 2014 in the low stability group, but no such changes occurred in the moderate and high stability groups. The TS change amplitude was obvious in the low stability group, while that was slight in the high stability group. The relative basal area of the top two species was close in the low stability group in both 2009 and 2014, while the first dominant species was prominent in the high stability group. Communities in the high stability group had lower tree diversity, and those in the low stability group had more trees in 2009. Furthermore, tree size increased significantly in the low and moderate stability groups, and tree number decreased significantly in the moderate stability group from 2009 to 2014. The TS indicator is feasible in describing the stability state and change processes of forest plant communities on a time scale.

DiversityVol. 17(9)
Xinyang Normal University (CN), Beijing Forestry University (CN), Jiangxi Province Forestry Survey Planning Institute (CN)
Xinyang Normal University
Openalex Percentile: Top 77%
Ecology and Vegetation Dynamics Studies
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.