J Plant Ecol ›› 2019, Vol. 12 ›› Issue (3): 428-437.doi: 10.1093/jpe/rty037

• Research Articles • Previous Articles     Next Articles

Generalized and species-specific prediction models for aboveground biomass in semi-steppe rangelands

Anvar Sanaei1, Arshad Ali2,*, Khaled Ahmadaali1 and Esfandiar Jahantab3   

  1. 1 Department of Reclamation of Arid and Mountainous Regions, Natural Resources Faculty, University of Tehran, Karaj, PO Box 31585-4314, Iran
    2 Spatial Ecology Lab, School of Life Sciences, South China Normal University, Guangzhou, Guangdong 510631, China
    3 Department of Range and Watershed Management, Faculty of Agricultural Sciences, Fasa University, Fasa, Iran
    *Correspondence address. Spatial Ecology Lab, School of Life Sciences, South China Normal University, Guangzhou, Guangdong 510631, China. Tel: +86-15021242138; E-mail: arshadforester@gmail.com; arshadforester@m.scnu.edu.cn
  • Received:2018-05-21 Revised:2018-09-10 Accepted:2018-09-21 Online:2019-05-15 Published:2019-07-01

Abstract:

Aims

The accurate estimation of aboveground biomass in vegetation is critical for global carbon accounting. Regression models provide an easy estimation of aboveground biomass at large spatial and temporal scales. Yet, only few prediction models are available for aboveground biomass in rangelands, as compared with forests. In addition to the development of prediction models, we tested whether such prediction models vary with plant growth forms and life spans, and with the inclusion of site and/or quadrat-specific factors.

Methods

We collected dataset of aboveground biomass from destructive harvesting of 8088 individual plants belonging to 79 species in 735 quadrats across 35 sites in semi-steppe rangelands in Iran. A logarithmic transformation of the power-law model was used to develop simple prediction models for the easy estimation of aboveground biomass using plant coverage and vegetation density as predictors for the species-specific model, multispecies and plants of different growth forms and life spans. In addition, additive and multiplicative linear regression models were developed by using plant coverage and one categorical variable from the site and/or quadrat-specific factors.

Important Findings

The log-transformed power-law model based on plant coverage precisely predicted aboveground biomass across the whole dataset for either most of the species-specific model, multispecies or plants of the same growth forms (shrubs, forbs or graminoids) and life spans (annuals, biennials or perennials). The addition of vegetation density as a single or in a compound predictor variable had relatively poor performance compared with the model having plant coverage only. Although generalizing at the levels of plant group forms and/or life spans did not substantially enhance the model-fit and validation of the plant coverage-based multispecies model, the inclusion of plant growth forms or life spans as a categorical predictor variable had performed well. Generalized models in this study will greatly contribute to the accurate and easy prediction of aboveground biomass in the studied rangelands and will be also useful to rangeland practitioners and ecological modellers interested in the global relationship between biodiversity and aboveground biomass productivity across space and time in natural rangelands.

Key words: ecosystem functioning, aboveground biomass, plant coverage, plant life spans, prediction models, vegetation density

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Effects of nitrogen addition on plant biomass and tissue elemental content in different degradation stages of temperate steppe in northern China
[J]. J Plant Ecol, 2018, 11(5): 730-739.
[2] Wensheng Bu, Bernhard Schmid, Xiaojuan Liu, Ying Li, Werner Härdtle, Goddert von Oheimb, Yu Liang, Zhenkai Sun, Yuanyuan Huang, Helge Bruelheide, Keping Ma. Interspecific and intraspecific variation in specific root length drives aboveground biodiversity effects in young experimental forest stands [J]. J Plant Ecol, 2017, 10(1): 158-169.
[3] Bo Yang, Ying Li, Bingyang Ding, Sabine Both, Alexandra Erfmeier, Werner Härdtle, Keping Ma, Bernhard Schmid, Thomas Scholten, Gunnar Seidler, Goddert von Oheimb1, Xuefei Yang, Helge Bruelheide. Impact of tree diversity and environmental conditions on the survival of shrub species in a forest biodiversity experiment in subtropical China [J]. J Plant Ecol, 2017, 10(1): 179-189.
[4] Xueqin Zeng, Walter Durka, Markus Fischer. Species-specific effects of genetic diversity and species diversity of experimental communities on early tree performance [J]. J Plant Ecol, 2017, 10(1): 252-258.
[5] Tserenpurev Bat-Oyun, Masato Shinoda, Yunxiang Cheng, Yadamjav Purevdorj. Effects of grazing and precipitation variability on vegetation dynamics in a Mongolian dry steppe [J]. J Plant Ecol, 2016, 9(5): 508-519.
[6] Yanbin Jiang, Jian Tao, Yongqi Huang, Juntao Zhu, Li Tian, Yangjian Zhang. The spatial pattern of grassland aboveground biomass on Xizang Plateau and its climatic controls [J]. J Plant Ecol, 2015, 8(1): 30-40.
[7] Carly J. Stevens, David J. G. Gowing. Effect of nitrogen addition, form and clipping on competitive interactions between grassland species [J]. J Plant Ecol, 2014, 7(3): 222-230.
[8] Panayiotis G. Dimitrakopoulos. Influence of evenness on the litter-species richness-decomposition relationship in Mediterranean grasslands [J]. J Plant Ecol, 2010, 3(2): 71-78.
[9] Lara Souza, R. Travis Belote, Paul Kardol, Jake F. Weltzin, Richard J. Norby. CO2 enrichment accelerates successional development of an understory plant community [J]. J Plant Ecol, 2010, 3(1): 33-39.
[10] Dan F. B. Flynn, Bernhard Schmid, Jin-Sheng He, Kelly S. Wolfe-Bellin, F. A. Bazzaz. Hierarchical reliability in experimental plant assemblages [J]. J Plant Ecol, 2008, 1(1): 59-65.
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[1] . [J]. Chin Bull Bot, 1996, 13(专辑): 105 .
[2] 杜维广 王彬如 谭克辉 郝迺斌. An Approach to the Breeding of Soybean with High Photosynthetic Efficiency[J]. Chin Bull Bot, 1984, 2(23): 7 -11 .
[3] ZHAO Yun-Yun ZHOU Xiao-Mei YANG Cai. Production of Hybrid F1 Between Avena magna and Avena nuda and It''s Identification[J]. Chin Bull Bot, 2003, 20(03): 302 -306 .
[4] . Professor Jiayang Li, a Plant Molecular Genetist[J]. Chin Bull Bot, 2003, 20(03): 370 -372 .
[5] . [J]. Chin Bull Bot, 1996, 13(专辑): 100 -101 .
[6] Qiong Jiang, Youning Wang, Lixiang Wang, Zhengxi Sun, Xia Li. Validation of Reference Genes for Quantitative RT-PCR Analysis in Soybean Root Tissue under Salt Stress[J]. Chin Bull Bot, 2015, 50(6): 754 -764 .
[7] MA Ke-Ming. Advances of the Study on Species Abundance Pattern[J]. Chin J Plan Ecolo, 2003, 27(3): 412 -426 .
[8] ZHANG Zhi-Meng, WAN Shu-Bo, NING Tang-Yuan, DAI Liang-Xiang. EFFECTS OF NITROGEN LEVEL ON NITROGEN METABOLISM AND CORRELATING ENZYME ACTIVITY IN PEANUT[J]. Chin J Plan Ecolo, 2008, 32(6): 1407 -1416 .
[9] ZHANG Bing-Chang, ZHAO Jian-Cheng, ZHANG Yuan-Ming, LI Min, ZHANG Jing. VERTICAL DISTRIBUTION OF ALGAE IN DIFFERENT LOCATIONS OF SAND DUNES IN THE GURBANTUNGGUT DESERT,XINJIANG, CHINA[J]. Chin J Plan Ecolo, 2008, 32(2): 456 -464 .
[10] LI Zheng, HAN Lin, LIU Yu-Hong, AN Shu-Qing, and LENG Xin. C, N and P stoichiometric characteristics in leaves of Suaeda salsa during different growth phase in coastal wetlands of China[J]. Chin J Plan Ecolo, 2012, 36(10): 1054 -1061 .