Extreme Winter Storms Have Variable Effects on the Population Dynamics of Canopy Dominant Species in an Old-Growth Subtropical Forest
文献类型:期刊论文
作者 | Yang, Yidan; Ji, Yanli3; Wang, Yunquan; Xie, Jiajie; Jin, Yi1; Mi, Xiangcheng2; Yu, Mingjian4; Ren, Haibao2; Ma, Keping2; Chen, Jianhua |
刊名 | FORESTS |
出版日期 | 2022 |
卷号 | 13期号:10 |
关键词 | subtropical evergreen broad-leaved forest mortality rate recruitment rate diameter structure spatial point pattern forest dynamics plot |
DOI | 10.3390/f13101634 |
文献子类 | Article |
英文摘要 | Extreme climatic events are predicted to increase in frequency and magnitude as global climate change continues. Extreme climatic events have profound impacts on community structure and dynamics, but their effects on the dominant species within a community remains unclear. To explore this issue, we analyzed changes in population dynamics and dead individuals' spatial pattern for several dominant species (Castanopsis eyrei, Schima superba, Pinus massoniana, and Daphniphyllum oldhamii) among different habitats in a subtropical forest before and after a significant winter storm that occurred in February 2008. Using the Gutianshan 24-ha forest plot as a representative sample, we found that the plot-level DBH of P. massoniana and C. eyrei significantly increased after the winter storm, while the plot-level basal area of P. massoniana and S. superba decreased significantly. In addition, P. massoniana was most affected by the storm (mortality: 9.08%; population change rate: -8.93%), followed by C. eyrei (mortality: 6.93%; population change rate: -4.91%). Small-diameter individuals experienced higher mortality rates, but the diameter structure of the dominant species at the population level remained basically stable. The number of individuals, the density of the dominant population, the number of mortalities, and the mortality rate of the dominant species differed among habitats. The spatial point patterns of the dead individuals at each life stage were mainly aggregated in distribution, and the degree of aggregation tended to decrease with increasing scale. In conclusion, the population dynamics of dominant species were significantly altered following the winter storm, but the extent of the changes varied with species. Our study suggests that analyzing the dominant species of a community contributes to a better understanding of the biological response of forest ecosystems in the face of extreme climatic events. |
学科主题 | Forestry |
电子版国际标准刊号 | 1999-4907 |
出版地 | BASEL |
WOS关键词 | ICE STORM ; DENSITY-DEPENDENCE ; INTERSPECIFIC ASSOCIATIONS ; TREE GROWTH ; DAMAGE ; PATTERNS ; COEXISTENCE ; MORTALITY ; EVERGREEN ; RECOVERY |
WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
语种 | 英语 |
出版者 | MDPI |
WOS记录号 | WOS:000873196100001 |
资助机构 | Zhejiang Provincial Natural Science Foundation of China [LQ22C030001] |
源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/28718] |
专题 | 植被与环境变化国家重点实验室 |
作者单位 | 1.Nanjing Forestry Univ, Coll Informat Sci & Technol, Nanjing 210037, Peoples R China 2.Guizhou Normal Univ, Key Lab Natl Forestry & Grassland Adm Biodivers C, Guiyang 550025, Peoples R China 3.Zhejiang Normal Univ, Coll Chem & Life Sci, Jinhua 321004, Zhejiang, Peoples R China 4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 5.Zhejiang Univ, Coll Life Sci, Key Lab Conservat Biol Endangered Wildlife, Minist Educ, Hangzhou 310058, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Yidan,Ji, Yanli,Wang, Yunquan,et al. Extreme Winter Storms Have Variable Effects on the Population Dynamics of Canopy Dominant Species in an Old-Growth Subtropical Forest[J]. FORESTS,2022,13(10). |
APA | Yang, Yidan.,Ji, Yanli.,Wang, Yunquan.,Xie, Jiajie.,Jin, Yi.,...&Chen, Jianhua.(2022).Extreme Winter Storms Have Variable Effects on the Population Dynamics of Canopy Dominant Species in an Old-Growth Subtropical Forest.FORESTS,13(10). |
MLA | Yang, Yidan,et al."Extreme Winter Storms Have Variable Effects on the Population Dynamics of Canopy Dominant Species in an Old-Growth Subtropical Forest".FORESTS 13.10(2022). |
入库方式: OAI收割
来源:植物研究所
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