Distinguishing the mechanisms driving multi-scale community spatial structure in a temperate forest

被引:2
|
作者
Hu, Bing [1 ]
Zhang, Yuxin [2 ]
Yakimov, Basil [3 ]
Zhao, Xiuhai [1 ]
Zhang, Chunyu [1 ,4 ]
机构
[1] Beijing Forestry Univ, Res Ctr Forest Management Engn, State Forestry & Grassland Adm, Beijing 100083, Peoples R China
[2] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China
[3] Lobachevsky State Univ Nizhny Novgorod, Dept Ecol, Pr Gagarina 23, Nizhnii Novgorod 603950, Russia
[4] Beijing Forestry Univ, Forestry Coll, Dept Forest Management, 35 Qinghua East Rd, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Diversity-area relationship (DAR); Multifractal analysis; Species-abundance distribution; Species-area relationship; Spatial point process; SPECIES-ABUNDANCE DISTRIBUTIONS; MULTIFRACTAL ANALYSIS; AREA RELATIONSHIPS; DISPERSAL LIMITATION; FUNCTIONAL DIVERSITY; PATTERNS; MODELS; MAINTENANCE;
D O I
10.1016/j.foreco.2022.120462
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
The mechanisms driving the community spatial structure are central questions of community ecology. Previous studies of niche and neutral models have mainly focused on species richness area relationships or species abundance distributions separately, and at several discrete scales. However, considering only the number of species while ignoring information regarding species abundance, or considering changes in the relative abundance of species at only a small number of scales, is not sufficient to fully understand how diversity varies with scale, let alone to explore the mechanisms of diversity change. Multifractal analysis not only provides information regarding the relative abundances of each species and the diversity in groups of species with particular abundance but also offers a unique insight into investigating the community spatial structure. In the study, niche, neutral and combined processes were integrated into spatial point pattern models at multiple spatial scales. We assess the relative contribution of niche and neutral processes in shaping the community spatial structure. Our results show that the mechanism shaping community spatial structure strongly depends on the sensitivity of diversity measure to species frequencies (moment order q): for q < 1, it is dominated by the joint effects of dispersal limitation and habitat filtering; while it is driven by dispersal limitation only when q >= F 1. The multifractal analysis succeeded in separating the mechanism under species richness scaling yet failed to distinguish the relative abundance scaling. The generality of our findings should be further tested in other types of forests with different habitat conditions variation. However, our work is sufficient to suggest that ecologists and policymakers should consider the species richness and relative abundance simultaneously across scales and sensitivity of diversity metrics to the contribution of rare and common species when testing the mechanism underlying the community spatial structure.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Multi-scale object-based measurement of arid plant community structure
    Zhang, Lei
    Li, Xiaosong
    Lu, Shanlong
    Jia, Kun
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2016, 37 (10) : 2168 - 2179
  • [32] Multi-scale Activity Estimation with Spatial Abstractions
    Hawasly, Majd
    Pokorny, Florian T.
    Ramamoorthy, Subramanian
    GEOMETRIC SCIENCE OF INFORMATION, GSI 2017, 2017, 10589 : 273 - 281
  • [33] Spatial ecology and multi-scale habitat selection of the Copperhead (Agkistrodon contortrix) in a managed forest landscape
    Sutton, William B.
    Wang, Yong
    Schweitzer, Callie J.
    McClure, Christopher J. W.
    FOREST ECOLOGY AND MANAGEMENT, 2017, 391 : 469 - 481
  • [34] Multi-scale Community Detection in Complex Networks
    Ambika, P.
    Rajan, Binu M. R.
    2016 INTERNATIONAL CONFERENCE ON RESEARCH ADVANCES IN INTEGRATED NAVIGATION SYSTEMS (RAINS), 2016,
  • [35] Multi-scale patterns of forest structure and species composition in relation to climate in northeast China
    Fang, Jingyun
    Wang, Xiangping
    Liu, Yining
    Tang, Zhiyao
    White, Peter S.
    Sanders, Nathan J.
    ECOGRAPHY, 2012, 35 (12) : 1072 - 1082
  • [36] Reductive levels and multi-scale structure
    Patrick McGivern
    Synthese, 2008, 165 : 53 - 75
  • [37] Multi-scale structure of clustering particles
    Tsuji, Takuya
    Ito, Akihito
    Tanaka, Toshitsugu
    POWDER TECHNOLOGY, 2008, 179 (03) : 115 - 125
  • [38] Classifying Forest Stands Based on Multi-Scale Structure Features Using Quickbird Image
    Huang, Wanli
    Li, Hu
    Lin, Guangfa
    PROCEEDINGS 2015 SECOND IEEE INTERNATIONAL CONFERENCE ON SPATIAL DATA MINING AND GEOGRAPHICAL KNOWLEDGE SERVICES (ICSDM 2015), 2015, : 202 - 208
  • [39] Reductive levels and multi-scale structure
    McGivern, Patrick
    SYNTHESE, 2008, 165 (01) : 53 - 75
  • [40] Spatial Analysis of Temperate Forest Structure: A Geostatistical Approach to Natural Forest Potential
    Prieto-Amparan, Jesus A.
    Santellano-Estrada, Eduardo
    Villarreal-Guerrero, Federico
    Martinez-Salvador, Martin
    Pinedo-Alvarez, Alfredo
    Vazquez-Quintero, Griselda
    Valles-Aragon, Maria C.
    Manjarrez-Dominguez, Carlos
    FORESTS, 2019, 10 (02)