Chinese Journal of Plant Ecology >
Relationship between canopy structure and species composition of an evergreen broadleaf forest in Tiantong region, Zhejiang, China
Received date: 2022-01-29
Accepted date: 2022-04-10
Online published: 2022-04-15
Supported by
National Natural Science Foundation of China(31870404)
Aims The ecological mechanisms underlying species compositional differences among communities are crucial to understanding and predicting biodiversity changes. One of such mechanisms is the spatial structure independent of ground-level habitat (e.g., soil nutrients and topographic parameters). However, the primary drivers of this spatial structure are still unclear. Forest canopy structure can alter understory microclimates, which in turn influences the spatial structure and species compositional differences. We know little so far about such influence of the forest canopy structure. This gap has hindered our understanding of the ecological mechanisms underlying species compositional difference.
Methods The study was conducted in a 20 hm2 evergreen broadleaf forest plot in the Tiantong region, Zhejiang Province, Eastern China. UVA-based LiDAR was used to estimate the high-precision forest canopy structure of the Tiantong plot. The redundancy analysis and the variance decomposition method were used to explore the relative importance of forest canopy structure and other potential factors on community species composition.
Important findings Our research showed that: (1) In the case of excluding the effect of canopy structure, the spatial structure independent of the ground-level habitat was one of the main contributors to the species compositional differences in the Tiantong plot. It explained 25.2%, 28.1%, and 8.0% of the variation in species composition at the scales of 100 m2,and 8.0% of the variation in species composition at the scales of 100 m2 Our research showed that: (1) In the case of excluding the effect of canopy structure, the spatial structure independent of the ground-level habitat was one of the main contributors to the species compositional differences in the Tiantong plot. It explained 25.2%, 28.1%, and 8.0% of the variation in species composition at the scales of 100 m2, 400 m2,400 m2 400 m2, and 2 500 m2,and 2 500 m2 and 2 500 m2, respectively. (2) Including the effect of forest canopy structure significantly reduced the explanation power of the spatial structure by about 1/3 (26.2%-36.0%). (3) Among canopy structure factors, canopy height had the most significant influence on species composition, followed by internal canopy structure. With the increase of the plot scale, the effects of canopy height decreased while the impacts of internal canopy structure increased. In conclusion, our study demonstrated that canopy structure is one of the main drivers of spatial structure independent of ground-level habitat. Our results also clarify the relative importance of canopy height and internal canopy structure on species composition and provide new perspectives to understand the ecological mechanisms underlying species compositional differences among forest plant communities.
YU Qiu-Wu, YANG Jing, SHEN Guo-Chun . Relationship between canopy structure and species composition of an evergreen broadleaf forest in Tiantong region, Zhejiang, China[J]. Chinese Journal of Plant Ecology, 2022 , 46(5) : 529 -538 . DOI: 10.17521/cjpe.2022.0047
| [1] | Antonarakis AS, Richards KS, Brasington J (2008). Object-based land cover classification using airborne LiDAR. Remote Sensing of Environment, 112, 2988-2998. |
| [2] | Augspurger CK, Cheeseman JM, Salk CF (2005). Light gains and physiological capacity of understorey woody plants during phenological avoidance of canopy shade. Functional Ecology, 19, 537-546. |
| [3] | Bi HX, Tan XY, Li XY (2005). Digital terrain analysis based on DEM. Journal of Beijing Forestry University, 27(2), 49-53. |
| [3] | [ 毕华兴, 谭秀英, 李笑吟 (2005). 基于DEM的数字地形分析. 北京林业大学学报, 27(2), 49-53.] |
| [4] | Borcard D, Legendre P (1994). Environmental control and spatial structure in ecological communities: an example using oribatid mites (Acari, Oribatei). Environmental and Ecological Statistics, 1, 37-61. |
| [5] | Borcard D, Legendre P, Avois-Jacquet C, Tuomisto H (2004). Dissecting the spatial structure of ecological data at multiple scales. Ecology, 85, 1826-1832. |
| [6] | Cazzolla-Gatti R, Di-Paola A, Bombelli A, Noce S, Valentini R (2017). Exploring the relationship between canopy height and terrestrial plant diversity. Plant Ecology, 218, 899-908. |
| [7] | Chambers JQ, Robertson AL, Carneiro VMC, Lima AJN, Smith ML, Plourde LC, Higuchi N (2009). Hyperspectral remote detection of niche partitioning among canopy trees driven by blowdown gap disturbances in the Central Amazon. Oecologia, 160, 107-117. |
| [8] | Chang LW, Zelený D, Li CF, Chiu ST, Hsieh CF (2013). Better environmental data may reverse conclusions about niche- and dispersal-based processes in community assembly. Ecology, 94, 2145-2151. |
| [9] | Chen XW, Niu JZ (2020). Relationships between tree height and tree species richness at small scales. Acta Oecologica, 109, 103668. DOI: 10.1016/j.actao.2020.103668. |
| [10] | Clawges R, Vierling K, Vierling L, Rowell E (2008). The use of airborne lidar to assess avian species diversity, density, and occurrence in a pine/aspen forest. Remote Sensing of Environment, 112, 2064-2073. |
| [11] | Conti L, de Bello F, Lepš J, Acosta ATR, Carboni M (2017). Environmental gradients and micro-heterogeneity shape fine-scale plant community assembly on coastal dunes. Journal of Vegetation Science, 28, 762-773. |
| [12] | de Frenne P, Lenoir J, Luoto M, Scheffers BR, Zellweger F, Aalto J, Ashcroft MB, Christiansen DM, Decocq G, de Pauw K, Govaert S, Greiser C, Gril E, Hampe A, Jucker T, et al. (2021). Forest microclimates and climate change: importance, drivers and future research agenda. Global Change Biology, 27, 2279-2297. |
| [13] | Diggle PJ, Tawn JA, Moyeed RA (1998). Model-based geostatistics. Journal of the Royal Statistical Society: Series C (Applied Statistics), 47, 299-350. |
| [14] | Douda J, Doudová-Kochánková J, Boublík K, Drašnarová A (2012). Plant species coexistence at local scale in temperate swamp forest: test of habitat heterogeneity hypothesis. Oecologia, 169, 523-534. |
| [15] | Fang JY, Shen ZH, Cui HT (2004). Ecological characteristics of mountains and research issues of mountain ecology. Biodiversity Science, 12, 10-19. |
| [15] | [ 方精云, 沈泽昊, 崔海亭 (2004). 试论山地的生态特征及山地生态学的研究内容. 生物多样性, 12, 10-19.] |
| [16] | Finzi AC, Canham CD, van Breemen N (1998). Canopy tree- soil interactions within temperate forests: species effects on pH and cations. Ecological Applications, 8, 447-454. |
| [17] | Grinnell J (1917). The niche-relationships of the California thrasher. The Auk, 34, 427-433. |
| [18] | Gross N le Bagousse-Pinguet Y, Liancourt P, Saiz H, Violle C, Munoz F, (2021). Unveiling ecological assembly rules from commonalities in trait distributions. Ecology Letters, 24, 1668-1680. |
| [19] | Hewitt JE, Thrush SF, Halliday J, Duffy C (2005). The importance of small-scale habitat structure for maintaining beta diversity. Ecology, 86, 1619-1626. |
| [20] | Huang JX, Ye WH, Lian JY, Cao HL (2014). Detecting the influence of phylogenetic structure, environmental factors and PCNM factors in population dynamics in a subtropical forest community in Guangdong, China. Chinese Science Bulletin, 59, 3471-3478. |
| [20] | [ 黄建雄, 叶万辉, 练琚愉, 曹洪麟 (2014). 谱系结构、环境因子及空间因子对群落动态变化的影响. 科学通报, 59, 3471-3478.] |
| [21] | Jin Y, Qian H, Yu MJ (2015). Phylogenetic structure of tree species across different life stages from seedlings to canopy trees in a subtropical evergreen broad-leaved forest. PLOS ONE, 10, e0131162. DOI: 10.1371/journal.pone.0131162. |
| [22] | John R, Dalling JW, Harms KE, Yavitt JB, Stallard RF, Mirabello M, Hubbell SP, Valencia R, Navarrete H, Vallejo M, Foster RB (2007). Soil nutrients influence spatial distributions of tropical tree species. Proceedings of the National Academy of Sciences of the United States of America, 104, 864-869. |
| [23] | Korhonen L, Korpela I, Heiskanen J, Maltamo M (2011). Airborne discrete-return LiDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index. Remote Sensing of Environment, 115, 1065- 1080. |
| [24] | Kraft NJB, Adler PB, Godoy O, James EC, Fuller S, Levine JM (2015). Community assembly, coexistence and the environmental filtering metaphor. Functional Ecology, 29, 592-599. |
| [25] | Lai JS, Zou Y, Zhang JL, Peres-Neto PR (2022). Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package. Methods in Ecology and Evolution, 13, 782-788. |
| [26] | Legendre P, Borcard D, Peres-Neto PR (2005). Analyzing beta diversity: partitioning the spatial variation of community composition data. Ecological Monographs, 75, 435-450. |
| [27] | Legendre P, Fortin MJ (1989). Spatial pattern and ecological analysis. Vegetatio, 80, 107-138. |
| [28] | Legendre P, Mi XC, Ren HB, Ma KP, Yu MJ, Sun IF, He FL (2009). Partitioning beta diversity in a subtropical broad-leaved forest of China. Ecology, 90, 663-674. |
| [29] | Lowman MD, Moffett M (1993). The ecology of tropical rain forest canopies. Trends in Ecology & Evolution, 8, 104-107. |
| [30] | Makoto K, Wilson SD (2019). When and where does dispersal limitation matter in primary succession? Journal of Ecology, 107, 559-565. |
| [31] | Moffiet T, Mengersen K, Witte C, King R, Denham R (2005). Airborne laser scanning: exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species. ISPRS Journal of Photogrammetry and Remote Sensing, 59, 289-309. |
| [32] | Mori AS, Isbell F, Seidl R (2018). β-diversity, community assembly, and ecosystem functioning. Trends in Ecology & Evolution, 33, 549-564. |
| [33] | Myers JA, Chase JM, Jiménez I, Jørgensen PM, Araujo- Murakami A, Paniagua-Zambrana N, Seidel R (2013). Beta-diversity in temperate and tropical forests reflects dissimilar mechanisms of community assembly. Ecology Letters, 16, 151-157. |
| [34] | Nakamura A, Kitching RL, Cao M, Creedy TJ, Fayle TM, Freiberg M, Hewitt CN, Itioka T, Koh LP, Ma KP, Malhi Y, Mitchell A, Novotny V, Ozanne CMP, Song L, Wang H, Ashton LA (2017). Forests and their canopies: achievements and horizons in canopy science. Trends in Ecology & Evolution, 32, 438-451. |
| [35] | Nelson R, Krabill W, Tonelli J (1988). Estimating forest biomass and volume using airborne laser data. Remote Sensing of Environment, 24, 247-267. |
| [36] | Opedal ØH, Armbruster WS, Graae BJ (2015). Linking small-scale topography with microclimate, plant species diversity and intra-specific trait variation in an alpine landscape. Plant Ecology & Diversity, 8, 305-315. |
| [37] | Riaño D, Valladares F, Condés S, Chuvieco E (2004). Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests. Agricultural and Forest Meteorology, 124, 269-275. |
| [38] | Rüger N, Huth A, Hubbell SP, Condit R (2009). Response of recruitment to light availability across a tropical lowland rain forest community. Journal of Ecology, 97, 1360-1368. |
| [39] | Scheffers BR, Evans TA, Williams SE, Edwards DP (2014). Microhabitats in the tropics buffer temperature in a globally coherent manner. Biology Letters, 10, 20140819. DOI: 10.1098/rsbl.2014.0819. |
| [40] | Shi H, Xie FL, Zhou Q, Shu X, Zhang KR, Dang CQ, Feng SY, Zhang QF, Dang HS (2019). Effects of topography on tree community structure in a deciduous broad-leaved forest in north-central China. Forests, 10, 53. DOI: 10.3390/f10010053. |
| [41] | Tang H, Dubayah R (2017). Light-driven growth in Amazon evergreen forests explained by seasonal variations of vertical canopy structure. Proceedings of the National Academy of Sciences of the United States of America, 114, 2640-2644. |
| [42] | Torresani M, Rocchini D, Sonnenschein R, Zebisch M, Hauffe HC, Heym M, Pretzsch H, Tonon G (2020). Height variation hypothesis: a new approach for estimating forest species diversity with CHM LiDAR data. Ecological Indicators, 117, 106520. DOI: 10.1016/j.ecolind.2020.106520. |
| [43] | Whittaker RH (1972). Evolution and measurement of species diversity. TAXON, 21, 213-251. |
| [44] | Yang QS, Ma ZP, Xie YB, Zhang ZG, Wang ZH, Liu HM, Li P, Zhang N, Wang DL, Yang HB, Fang XF, Yan ER, Wang XH (2011). Community structure and species composition of an evergreen broad-leaved forest in Tiantong’s 20 ha dynamic plot, Zhejiang Province, Eastern China. Biodiversity Science, 19, 215-223. |
| [44] | [ 杨庆松, 马遵平, 谢玉彬, 张志国, 王樟华, 刘何铭, 李萍, 张娜, 王达力, 杨海波, 方晓峰, 阎恩荣, 王希华 (2011). 浙江天童20 ha常绿阔叶林动态监测样地的群落特征. 生物多样性, 19, 215-223.] |
| [45] | Yang QS, Shen GC, Liu HM, Wang ZH, Ma ZP, Fang XF, Zhang J, Wang XH (2016). Detangling the effects of environmental filtering and dispersal limitation on aggregated distributions of tree and shrub species: life stage matters. PLOS ONE, 11, e0156326. DOI: 10.1371/journal.pone.0156326. |
| [46] | Yu CT, Fan CY, Zhang CY, Zhao XH, van Gadow K (2021). Decomposing spatial β-diversity in the temperate forests of Northeastern China. Ecology and Evolution, 11, 11362- 11372. |
| [47] | Zellweger F, Baltensweiler A, Schleppi P, Huber M, Küchler M, Ginzler C, Jonas T (2019). Estimating below-canopy light regimes using airborne laser scanning: an application to plant community analysis. Ecology and Evolution, 9, 9149-9159. |
| [48] | Zhang N, Wang XH, Zheng ZM, Ma ZP, Yang QS, Fang XF, Xie YB (2012). Spatial heterogeneity of soil properties and its relationships with terrain factors in broadleaved forest in Tiantong of Zhejiang Province, East China. Chinese Journal of Applied Ecology, 23, 2361-2369. |
| [48] | [ 张娜, 王希华, 郑泽梅, 马遵平, 杨庆松, 方晓峰, 谢玉彬 (2012). 浙江天童常绿阔叶林土壤的空间异质性及其与地形的关系. 应用生态学报, 23, 2361-2369.] |
| [49] | Zhao XQ, Guo QH, Su YJ, Xue BL (2016). Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas. ISPRS Journal of Photogrammetry and Remote Sensing, 117, 79-91. |
| [50] | Zhou CY, Wang B, Deng Y, Wu JJ, Cao M, Lin LX (2020). Canopy structure is an important factor driving local-scale woody plant functional beta diversity. Biodiversity Science, 28, 1546-1557. |
| [50] | [ 周昌艳, 王彬, 邓云, 乌俊杰, 曹敏, 林露湘 (2020). 林冠结构是局域尺度木本植物功能性状beta多样性形成的重要驱动力. 生物多样性, 28, 1546-1557.] |
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