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Journal of Mountain Science

, Volume 12, Issue 4, pp 961–971 | Cite as

Distribution and estimation of aboveground biomass of alpine shrubs along an altitudinal gradient in a small watershed of the Qilian Mountains, China

  • Zhang-wen Liu
  • Ren-sheng ChenEmail author
  • Yao-xuan Song
  • Chun-tan Han
Article

Abstract

Shrublands serve as an important component of terrestrial ecosystems, and play an important role in structure and functions of alpine ecosystem. Accurate estimation of biomass is critical to examination of the productivity of alpine ecosystems, due to shrubification under climate change in past decades. In this study, 14 experimental plots and 42 quadrates of the shrubs Potentilla fruticosa and Caragana jubata were selected along altitudes gradients from 3220 to 3650 m a.s.l. (above sea level) on semi-sunny and semi-shady slope in Hulu watershed of Qilian Mountains, China. The foliage, woody component and total aboveground biomass per quadrate were examined using a selective destructive method, then the biomass were estimated via allometric equations based on measured parameters for two shrub species. The results showed that C. jubata accounted for 1 — 3 times more biomass (480.98 g/m2) than P. fruticosa (191.21 g/m2). The aboveground biomass of both the shrubs varied significantly with altitudinal gradient (P<0.05). Woody component accounted for the larger proportion than foliage component in the total aboveground biomass. The biomass on semi-sunny Received: 2 January 2014 Accepted: 19 May 2014 slopes (200.27 g/m2 and 509.07 g/m2) was greater than on semi-shady slopes (182.14 g/m2 and 452. 89 g/m2) at the same altitude band for P. fruticosa and C. jubata. In contrast, the foliage biomass on semi-shady slopes (30.50 g/m2) was greater than on semi-sunny slopes (27.51 g/m2) for two shrubs. Biomass deceased with increasing altitude for P. fruticosa, whereas C. jubata showed a hump-shaped pattern with altitude. Allometric equations were obtained from the easily descriptive parameters of height (H), basal diameter (D) and crown area (C) for biomass of C. jubata and P. fruticosa. Although the equations type and variables comprising of the best model varied among the species, all equations related to biomass were significant (P < 0.005), with determination coefficients (R 2 ) ranging from 0.81 to 0.96. The allometric equations satisfied the requirements of the model, and can be used to estimate the regional scale biomass of P. fruticosa and C. jubata in alpine ecosystems of the Qilian Mountains.

Keywords

Aboveground biomass Allometric equations Alpine shrub Altitudinal gradient Qilian Mountains 

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References

  1. Bai W, Wang GX, Liu GS (2012) Effects of elevated air temperatures on soil thermal and hydrologic processes in the active layer in an alpine meadow ecosystem of the Qinghai-Tibet Plateau. Journal of Mountain Science 9: 243–255. DOI:  10.1007/s11629-012-2117-z CrossRefGoogle Scholar
  2. Cai Z, Liu QJ, Ouyang QL (2006) Estimation model for biomass of shrub in Qianyanzhou experiment station. Journal of Central South Forestry University 26: 15–23. (In Chinese)Google Scholar
  3. Chen RS, Song YX, Kang ES, et al (2014) A Cryosphere-Hydrology Observation System in a Small Alpine Watershed in the Qilian Mountains of China and Its Meteorological Gradient. Arctic, Antarctic, and Alpine Research 46(2): 505–523. DOI:  10.1657/1938-4246-46.2.505 CrossRefGoogle Scholar
  4. Davison AC, Hinkley DV (1997) Bootstrap methods and their application. Cambridge University Press, CambridgeCrossRefGoogle Scholar
  5. Ding SS, Su PX (2010) Altitudinal variation characteristics of the plant community on the upper reaches of Heihe River in the Qilian Moutans. Journal of Glaciology and Geocryology 32: 829–836. (In Chinese)Google Scholar
  6. Elzein TM, Blarquez O, Gauthier O, et al. (2011) Allometric equations for biomass assessment of subalpine dwarf shrubs. Alpine Botany 121: 129–134. DOI: 10.1007/s00035-011-0095-3 CrossRefGoogle Scholar
  7. Fang JY, Guo ZD, Piao SL, et al. (2007) Terrestrial vegetation carbon sinks in China, 1981–2000. Science in China Series D Earth Sciences 50: 1341–1350. DOI: 10.1007/s11430-007-0049-1CrossRefGoogle Scholar
  8. Frank TD, Tweddale SA, Lenschow SJ (2005) Non-destructive estimation of canopy gap fractions and shrub canopy volume of dominant shrub species in the Mojave desert. Journal of Terramechanics 42: 231–244. DOI:  10.1016/j.jterra.2004.10.013 CrossRefGoogle Scholar
  9. Gaston KJ (2000) Global patterns in biodiversity. Nature 405: 220–227. DOI:  10.1038/35012228 CrossRefGoogle Scholar
  10. Haase P, Pugnaire FI, Clark SC, et al (2000) Photosynthetic rate and canopy development in the drought-deciduous shrub Anthyllis cytisoides L. Journal of Arid Environments 46: 79–91. DOI:  10.1006/jare.2000.0657 CrossRefGoogle Scholar
  11. Hierro JL, Branch LC, Villareal D, et al. (2000) Predictive equations for biomass and fuel characteristics of Argentine shrubs. Journal of Range Management 53: 617–621CrossRefGoogle Scholar
  12. Houghton RA (2007) Balancing the Global Carbon Budget. Annual Review of Earth and Planetary Sciences 35: 313–347. DOI:  10.1146/annurev.earth.35.031306.140057 CrossRefGoogle Scholar
  13. Jin BW, Kang ES, Song KC, et al. (2003) Eco-hydrological function of mountain vegetation in the Hei River Basin, Northwest China. Journal of Glaciology and Geocryology 25: 580–584. (In Chinese)Google Scholar
  14. Jin M, Li Y, Wang SL, et al (2012). Alpine shrubs biomass and its distribution characteristics in Qilian Mountains. Arid Land Geography 35(6): 952–959. (In Chinese)Google Scholar
  15. Ketterings QM, Coe R, van Noordwijk M, et al. (2001) Reducing uncertainty in the use of allometric biomass equations for predicting aboveground biomass in mixed secondary forests. Forest Ecology and Management 146: 199–209. DOI:  10.1016/S0378-1127(00)00460-6 CrossRefGoogle Scholar
  16. Lei L, Liu XD, Wang SL, et al. (2011) Assignment rule of alpine shrubs biomass and its relationships to environmental factors in Qilian Mountains. Ecology and Environmental Sciences 20: 1602–1607. (In Chinese)Google Scholar
  17. Li YN, Zhao L, Wang QX, et al (2006) Estimation of biomass and annual turnover quantities of Potentilla froticosa shrub. Acta Agrestia Sinica 14: 72–76. (In Chinese)Google Scholar
  18. Liang B, Di L, Zhao CY, et al. (2013) Altitude distribution of aboveground biomass of typical shrubs in the Tianlaochi watershed of Qilian Mountains. Acta Agrestia Sinica 21: 664–669. DOI: 10.11733/j.issn.1007-0435.2013.04.006 (In Chinese)Google Scholar
  19. Lin W, Li JS, Zheng BF, et al. (2010) Models for estimating biomass of twelve shrub species in Jinggang Mountain nature reserve. Journal of Wuhan Botanical Research 28: 725–729. (In Chinese)Google Scholar
  20. Liu J, Liu XL, Hou LM (2012) Changes and ecological vulnerability of landscape pattern in Eastern Qilian Mountains. Arid Land Geography 35: 795–805. (In Chinese)Google Scholar
  21. Liu RT, Bi RC, Zhao HL (2009) Biomass partitioning and water content relationships at the branch and whole-plant levels and as a function of plant size in Elaeagnus mollis populations in Shanxi, North China. Acta Ecologica Sinica 29: 139–143. DOI:  10.1016/j.chnaes.2009.06.002 CrossRefGoogle Scholar
  22. Liu XL, Liu SR, Su YM, et al (2006) Aboveground biomass of Quercus aquifolioides shrub community and its responses to altitudinal gradients in Balangshan Mountain, Shichuan Province. Cientia Silvae Sinicae 42: 1–7. (In Chinese)Google Scholar
  23. Liu ZW, Chen RS, Song Y, et al. (2012) Characteristics of rainfall interception for four typical shrubs in Qilian Mountain. Acta Ecologica Sinica 32(4): 1337–1346. DOI:  10.5846/stxb201012211822 (In Chinese)CrossRefGoogle Scholar
  24. Liu ZW, Chen RS, Song Y, et al (2015) Estimation of aboveground biomass for alpine shrubs in the upper reaches of the Heihe River Basin, Northwestern China. Environmental Earth Sciences 73(9): 5513–5521. DOI: 10.1007s/12665-014-3805-5CrossRefGoogle Scholar
  25. Lodhiyal LS, Lodhiyal N (1997) Variation in biomass and net primary productivity in short rotation high density central Himalayan poplar plantations, Forest Ecology and Management 98: 167–179. DOI:  10.1016/S0378-1127(97)00065-0 CrossRefGoogle Scholar
  26. Murray RB, Jacobson MQ (1982) An evaluation of dimension analysis for predicting shrub biomass. Journal of Range Management 35: 451–454. DOI:  10.2307/3898603 CrossRefGoogle Scholar
  27. Nâvar J, Méndez E, Nâjera A, et al. (2004) Biomass equations for shrub species of Tamaulipan thornscrub of North-eastern Mexico. Journal of Arid Environmens, 59: 657–674. DOI:  10.1016/j.jaridenv.2004.02.010 CrossRefGoogle Scholar
  28. Nelson BW, Mesquita R, Pereira JLG, et al. (1999) Allometric regressions for improved estimate of secondary forest biomass in the central Amazon. Forest Ecology and Management 117: 149–167. DOI:  10.1016/S0378-1127(98)00475-7 CrossRefGoogle Scholar
  29. Onatibia GR, Aguiar MR, Cipriotti PA, et al (2010) Individual plant and population biomass of dominant shrubs in Patagonian grazed fields. Ecologla austral 20: 269–279Google Scholar
  30. Paton D, Nunez J, Bao D, et al (2002) Forage biomass of 22 shrub species from Monfragüe Natural Park (SW Spain) assessed by log-log regression models. Journal of Arid Environments 52:223–231. DOI:  10.1006/jare.2001.0993 CrossRefGoogle Scholar
  31. Piao SL, Fang JY, Ciais P (2009) The carbon balance of terrestrial ecosystems in China. Nature 458: 1009–1013. DOI:  10.1038/nature07944 CrossRefGoogle Scholar
  32. Porté A, Trichet P, Bert D, et al. (2002) Allometric relationships for branch and tree woody biomass of Maritime pine (Pinus pinaster Ait). Forest Ecology and Management 158: 71–83. DOI: 10.1016/S0378-1127(00)00673-3CrossRefGoogle Scholar
  33. Radloff FGT, Mucina L (2007) A quick and robust method for biomass estimation in structurally diverse vegetation. Journal of Vegetation Science 18: 719–724. DOI:  10.1111/j.1654-1103.2007 CrossRefGoogle Scholar
  34. Sa WJ, An LZ, Sa W (2012) Changes in plant community diversity and aboveground biomass along with altitude within an alpine meadow on the Three-River source region. Chinese Science Bulletin 57: 3573–3577. DOI:  10.1007/s11434-012-5287-8 CrossRefGoogle Scholar
  35. Salis SM, Assis MA, Mattos PP, et al. (2006) Estimating the aboveground biomass and wood volume of savanna woodlands in Brazil’s Pantanal wetlands based on allometric correlations. Forest Ecology and Management 2006 228: 61–68. DOI:  10.1016/j.foreco.2006.02.025 CrossRefGoogle Scholar
  36. Sternberg M, Shoshany M (2001) Aboveground biomass allocation and water content relationships in Mediterranean trees and shrubs in two climatological regions in Israel. Plant Ecology 157: 171–179. DOI:  10.1023/A:1013916422201 CrossRefGoogle Scholar
  37. Sturm M, Racine C, Tape K (2001) Climate change: increasing shrub abundance in the Arctic. Nature 411: 546–547. DOI:  10.1038/35079180 CrossRefGoogle Scholar
  38. Tape K, Sturm M, Racine C (2006) The evidence for shrub expansion in Northern Alaska and the Pan-Arctic. Global Change Biology 12: 686–702. DOI:  10.1111/j.1365-2486.2006.01128.x CrossRefGoogle Scholar
  39. Uso JL, Mateu J, Karjalainen T, et al. (1997) Allometric regression equations to determine aerial biomass of Mediterranean shrubs. Plant Ecology 132: 59–69. DOI:  10.1023/A:1009765825024 CrossRefGoogle Scholar
  40. Wang GH, Zhou GS, Yang LM, et al. (2002) Distribution, species diversity and life-form spectra of plant communities along an altitudinal gradient in the northern slopes of Qilianshan Mountains, Gansu, China. Plant Ecology 165: 169–181. DOI:  10.1023/A:1022236115186 CrossRefGoogle Scholar
  41. Zeng HQ, Liu QJ, Feng ZW (2010) Biomass equations for four shrub species in subtropical China. Journal of Vegetation Research 15: 83–90. DOI:  10.1007/s10310-009-0150-8 Google Scholar
  42. Zhang ZM, Han TH (2008) A mathematical model for aboveground biomass in the Gannan, Gansu province. Pratacultural Science 25: 10–13. (In Chinese)Google Scholar
  43. Zhao L, Li J, Xu S, et al. (2010) Seasonal variations in carbon dioxide exchange in an alpine wetland meadow on the Qinghai-Tibetan Plateau. Biogeosciences 7: 1207–1221. DOI:  10.5194/bg-7-1207-2010 CrossRefGoogle Scholar
  44. Zhou HK, Zhao XQ, Tang YH, et al. (2004) Effect of long-term grazingon alpine shrub vegetation in Qinghai-Tibet Plateau. Grassland of China 26: 1–11. (In Chinese)Google Scholar
  45. Zhou HK, Zhou L, Zhao XQ (2006) Study of formation pattern of below-ground biomass in Potentilla fruticosa shrub. Acta Prataculturae Sinica 6: 59–65.(In Chinese)CrossRefGoogle Scholar

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Zhang-wen Liu
    • 1
    • 2
  • Ren-sheng Chen
    • 1
    Email author
  • Yao-xuan Song
    • 1
  • Chun-tan Han
    • 1
  1. 1.Qilian Alpine Ecology & Hydrology Research Station, Key Laboratory of Ecohydrology of Inland Basin, Cold and Arid Regions Environmental and Engineering Research InstituteChinese Academy of SciencesLanzhouChina
  2. 2.University of Chinese Academy of SciencesBeijingChina

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