J Plant Ecol ›› 2019, Vol. 12 ›› Issue (5): 791-803.doi: 10.1093/jpe/rtz025

• Research Articles •     Next Articles

Patterns and ecological determinants of woody plant height in eastern Eurasia and its relation to primary productivity

Zhiheng Wang1,†,*, Yaoqi Li1,2,†, Xiangyan Su1, Shengli Tao3, Xiao Feng4, Qinggang Wang1,5, Xiaoting Xu1,6, Yunpeng Liu1, Sean T. Michaletz2,7,8, Nawal Shrestha1, Markku Larjavaara1, and Brian J. Enquist2,9   

  1. 1 Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    2 Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA
    3 Laboratoire Évolution et Diversité Biologique (EDB) UMR 5174, 31062, Toulouse Cedex 9, France
    4 Institute of the Environment, University of Arizona, Tucson, AZ 85721, USA
    5 Department of Ecology, College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
    6 Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, Sichuan, China
    7 Biosphere 2, University of Arizona, Tucson, AZ 85721, USA
    8 Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
    9 The Santa Fe Institute, Santa Fe, NM 87501, USA
    These authors contributed equally.
    *Corresponding address. Institute of Ecology and Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China. E-mail:zhiheng.wang@pku.edu.cn
  • Received:2019-05-03 Accepted:2019-05-15 Online:2019-09-09 Published:2019-10-01

Abstract:

Aims

Plant height is a key functional trait related to aboveground biomass, leaf photosynthesis and plant fitness. However, large-scale geographical patterns in community-average plant height (CAPH) of woody species and drivers of these patterns across different life forms remain hotly debated. Moreover, whether CAPH could be used as a predictor of ecosystem primary productivity is unknown.

Methods

We compiled mature height and distributions of 11 422 woody species in eastern Eurasia, and estimated geographic patterns in CAPH for different taxonomic groups and life forms. Then we evaluated the effects of environmental (including current climate and historical climate change since the Last Glacial Maximum (LGM)) and evolutionary factors on CAPH. Lastly, we compared the predictive power of CAPH on primary productivity with that of LiDAR-derived canopy-height data from a global survey.

Important Findings

Geographic patterns of CAPH and their drivers differed among taxonomic groups and life forms. The strongest predictor for CAPH of all woody species combined, angiosperms, all dicots and deciduous dicots was actual evapotranspiration, while temperature was the strongest predictor for CAPH of monocots and tree, shrub and evergreen dicots, and water availability for gymnosperms. Historical climate change since the LGM had only weak effects on CAPH. No phylogenetic signal was detected in family-wise average height, which was also unrelated to the tested environmental factors. Finally, we found a strong correlation between CAPH and ecosystem primary productivity. Primary productivity showed a weaker relationship with CAPH of the tallest species within a grid cell and no relationship with LiDAR-derived canopy height reported in the global survey. Our findings suggest that current climate rather than historical climate change and evolutionary history determine the geographical patterns in CAPH. However, the relative effects of climatic factors representing environmental energy and water availability on spatial variations of CAPH vary among plant life forms. Moreover, our results also suggest that CAPH can be used as a good predictor of ecosystem primary productivity.

Key words: annual evapotranspiration, ecosystem primary productivity, environmental factors, historical climate change, phylogenetic signals, community-average plant height, woody plants

[1] Tingting An, Mingjie Xu, Tao Zhang, Chengqun Yu, Yingge Li, Ning Chen, Jiaxing Zu, Junxiang Li, Juntao Zhu, Yi Sun, Tingting Zhao and Guirui Yu. Grazing alters environmental control mechanisms of evapotranspiration in an alpine meadow of the Tibetan Plateau [J]. J Plant Ecol, 2019, 12(5): 834-845.
[2] Hong Qian. Climatic correlates of phylogenetic relatedness of woody angiosperms in forest communities along a tropical elevational gradient in South America [J]. J Plant Ecol, 2018, 11(3): 394-400.
[3] Jian Sun, Shuli Niu, Jinniu Wang. Divergent biomass partitioning to aboveground and belowground across forests in China [J]. J Plant Ecol, 2018, 11(3): 484-492.
[4] Mingfei Ji, Jianming Deng, Buqing Yao, Renfei Chen, Zhexuan Fan, Jiawei Guan, Xiaowei Li, Fan Wu, Karl J. Niklas. Ecogeographical variation of 12 morphological traits within Pinus tabulaeformis: the effects of environmental factors and demographic histories [J]. J Plant Ecol, 2017, 10(2): 386-396.
[5] Guohong Wang, Jinglan Liu, Tingting Meng. Leaf trait variation captures climate differences but differs with species irrespective of functional group [J]. J Plant Ecol, 2015, 8(1): 61-69.
[6] Hong Qian, Zhanqing Hao, Jian Zhang. Phylogenetic structure and phylogenetic diversity of angiosperm assemblages in forests along an elevational gradient in Changbaishan, China [J]. J Plant Ecol, 2014, 7(2): 154-165.
[7] Luying Tang, Wenxuan Han, Yahan Chen, Jingyun Fang. Resorption proficiency and efficiency of leaf nutrients in woody plants in eastern China [J]. J Plant Ecol, 2013, 6(5): 408-417.
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[1] . [J]. Chin Bull Bot, 2002, 19(01): 121 -124 .
[2] ZHANG Shi-Gong;GAO Ji-Yin and SONG Jing-Zhi. Effects of Betaine on Activities of Membrane Protective Enzymes in Wheat (Triticum aestivum L.) Seedlings Under NaCl Stress[J]. Chin Bull Bot, 1999, 16(04): 429 -432 .
[3] SHE Chao-WenSONG Yun-Chun LIU Li-Hua. Analysis on the G_banded Karyotypes and Its Fluctuation at Different Mitotic Phases and Stages in Triticum tauschii (Aegilops squarrosa)[J]. Chin Bull Bot, 2001, 18(06): 727 -734 .
[4] Guijun Yang, Wenjiang Huang, Jihua Wang, Zhurong Xing. Inversion of Forest Leaf Area Index Calculated from Multi-source and Multi-angle Remote Sensing Data[J]. Chin Bull Bot, 2010, 45(05): 566 -578 .
[5] Man Chen, YishengTu, Linan Ye, Biyun Yang. Effect of Amino Acids on Thallus Growth and Huperzine-A Accumulation in Huperzia serrata[J]. Chin Bull Bot, 2017, 52(2): 218 -224 .
[6] Yefei Shang, Ming Li, Bo Ding, Hao Niu, Zhenning Yang, Xiaoqiang Chen, Gaoyi Cao, Xiaodong Xie. Advances in Auxin Regulation of Plant Stomatal Development[J]. Chin Bull Bot, 2017, 52(2): 235 -240 .
[7] CUI Xiao-Yong, Du Zhan-Chi, Wang Yan-Fen. Photosynthetic Characteristics of a Semi-arid Sandy Grassland Community in Inner Mongolia[J]. Chin J Plan Ecolo, 2000, 24(5): 541 -546 .
[8] LI Wei, ZHANG Ya-Li, HU Yuan-Yuan, YANG Mei-Sen, WU Jie, and ZHANG Wang-Feng. Research on the photoprotection and photosynthesis characteristics of young cotton leaves under field conditions[J]. Chin J Plan Ecolo, 2012, 36(7): 662 -670 .
[9] HU Bao-Zhong, LIU Di, HU Guo-Fu, ZHANG A-Ying, JIANG Shu-Jun. Random Amplified Polymorphic DNA Study of Local Breeds in Chinese lfalfa[J]. Chin J Plan Ecolo, 2000, 24(6): 697 -701 .
[10] WEI Jie, YU Hui, KUANG Ting-Yun, BEN Gui-Ying. Ultrastructure of Polygonum viviparum L. Grown at Different Elevations on Qinghai Plateau[J]. Chin J Plan Ecolo, 2000, 24(3): 304 -307 .