Spatial Distribution and Intraspecific and Interspecific Associations of Dominant Tree Species in a Deciduous Broad-Leaved Forest in Shennongjia, China

被引:0
作者
Wei, Jiaxin [1 ,2 ]
Yang, Linsen [3 ,4 ]
Jiang, Zhiguo [3 ,4 ]
Yao, Hui [3 ,4 ]
Yu, Huiliang [3 ,4 ]
Luo, Fanglin [1 ,2 ]
Qiao, Xiujuan [1 ]
Xu, Yaozhan [1 ]
Jiang, Mingxi [1 ]
机构
[1] Chinese Acad Sci, State Key Lab Plant Divers & Specialty Crops, Wuhan Bot Garden, Jiu Feng 1st Rd,Donghu New Technol Dev Zone, Wuhan 430074, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Shennongjia Natl Pk Adm, Sci Res Inst, Shennongjia 442421, Peoples R China
[4] Hubei Prov Key Lab Conservat Biol Shennongjia Snub, Shennongjia 442421, Peoples R China
来源
DIVERSITY-BASEL | 2025年 / 17卷 / 05期
基金
中国国家自然科学基金;
关键词
spatial distribution pattern; environmental heterogeneity; point pattern analysis; dispersal limitation; broad-leaved forest; forest dynamic plot; Shennongjia; POINT PATTERN-ANALYSIS; TROPICAL RAIN-FOREST; NULL-MODELS; HETEROGENEITY; DISPERSION; MORTALITY; GROWTH; PLANTS; PINE; PLOT;
D O I
10.3390/d17050335
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Studying spatial distribution patterns and intraspecific and interspecific associations of tree species is crucial for understanding the maintenance of biodiversity and offering insights into community dynamics and stability. The Shennongjia National Park, located in the transition zone between the (sub)tropics and the temperate climate, holds great significance for understanding how species interact with each other and coexist within forest communities. We used data from a fully mapped 25 ha montane deciduous broad-leaved forest dynamic plot at Shennongjia (SNJ) National Park, central China, to conduct a community-level evaluation of spatial distribution patterns and intraspecific and interspecific associations. We analyzed the spatial distribution patterns of 20 dominant species with univariate and bivariate g(r) functions, as well as intraspecific and interspecific associations across different life-history stages. We assessed the relative contributions of underlying processes in community assembly with three models: complete spatial randomness (CSR), heterogeneous Poisson (HP), and antecedent condition (AC). The results showed that all 20 tree species exhibited aggregated distribution patterns within a 100 m scale. After excluding the influence of environmental heterogeneity, the degree of aggregation decreased, and with the increasing spatial scale from 0 to 100 m, the distribution gradually shifted from aggregated to random or uniform appearance. Positive associations were common in different life-history stages. Negative associations were common across different species, while most of the intraspecific and interspecific associations turned out to be irrelevant when environmental heterogeneity was excluded. We concluded that habitat heterogeneity and dispersal limitation may primarily determine the spatial distribution of species in subtropical montane deciduous broad-leaved forests. This indicates that species distribution may align with environmental patterns, and interspecific correlations may exist. However, the exact responses of these species to environmental changes remain uncertain. Upcoming management approaches ought to concentrate on ongoing observation, which is crucial for mitigating how climate change might affect species distribution and community interactions, thus guaranteeing enduring stability and the conservation of biodiversity.
引用
收藏
页数:15
相关论文
共 43 条
[1]  
Baddeley A.J., 2015, Analysing Spatial Point Patterns with R
[2]   On tests of spatial pattern based on simulation envelopes [J].
Baddeley, Adrian ;
Diggle, Peter J. ;
Hardegen, Andrew ;
Lawrence, Thomas ;
Milne, Robin K. ;
Nair, Gopalan .
ECOLOGICAL MONOGRAPHS, 2014, 84 (03) :477-489
[3]   Habitat filtering across tree life stages in tropical forest communities [J].
Baldeck, C. A. ;
Harms, K. E. ;
Yavitt, J. B. ;
John, R. ;
Turner, B. L. ;
Valencia, R. ;
Navarrete, H. ;
Bunyavejchewin, S. ;
Kiratiprayoon, S. ;
Yaacob, A. ;
Supardi, M. N. N. ;
Davies, S. J. ;
Hubbell, S. P. ;
Chuyong, G. B. ;
Kenfack, D. ;
Thomas, D. W. ;
Dalling, J. W. .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2013, 280 (1766)
[4]   Spatial point-pattern analysis as a powerful tool in identifying pattern-process relationships in plant ecology: an updated review [J].
Ben-Said, Mariem .
ECOLOGICAL PROCESSES, 2021, 10 (01)
[5]   Fine-scale tree spatial patterns are shaped by dispersal limitation which correlates with functional traits in a natural temperate forest [J].
Beyns, Roxane ;
Bauman, David ;
Drouet, Thomas .
JOURNAL OF VEGETATION SCIENCE, 2021, 32 (04)
[6]   Tree spatial patterns and stand attributes in temperate forests: The importance of plot size, sampling design, and null model [J].
Carrer, Marco ;
Castagneri, Daniele ;
Popa, Ionel ;
Pividori, Mario ;
Lingua, Emanuele .
FOREST ECOLOGY AND MANAGEMENT, 2018, 407 :125-134
[7]  
Clark DB, 1999, ECOLOGY, V80, P2662, DOI 10.1890/0012-9658(1999)080[2662:EFATLS]2.0.CO
[8]  
2
[9]   COMPENSATORY RECRUITMENT, GROWTH, AND MORTALITY AS FACTORS MAINTAINING RAIN-FOREST TREE DIVERSITY [J].
CONNELL, JH ;
TRACEY, JG ;
WEBB, LJ .
ECOLOGICAL MONOGRAPHS, 1984, 54 (02) :141-164
[10]  
Cressie N.A.C, 2015, STAT SPATIAL DATA, DOI DOI 10.1002/9781119115151