Please wait a minute...
Journal of Arid Land  2020, Vol. 12 Issue (2): 252-266    DOI: 10.1007/s40333-020-0064-z     CSTR: 32276.14.s40333-020-0064-z
Research article     
Effects of long-term warming on the aboveground biomass and species diversity in an alpine meadow on the Qinghai-Tibetan Plateau of China
WEN Jing, QIN Ruimin, ZHANG Shixiong, YANG Xiaoyan, XU Manhou*()
Taiyuan Normal University, Jinzhong 030619, China
Download: HTML     PDF(922KB)
Export: BibTeX | EndNote (RIS)      

Abstract  

Ecosystems in high-altitude regions are more sensitive and respond more rapidly than other ecosystems to global climate warming. The Qinghai-Tibet Plateau (QTP) of China is an ecologically fragile zone that is sensitive to global climate warming. It is of great importance to study the changes in aboveground biomass and species diversity of alpine meadows on the QTP under predicted future climate warming. In this study, we selected an alpine meadow on the QTP as the study object and used infrared radiators as the warming device for a simulation experiment over eight years (2011-2018). We then analyzed the dynamic changes in aboveground biomass and species diversity of the alpine meadow at different time scales, including an early stage of warming (2011-2013) and a late stage of warming (2016-2018), in order to explore the response of alpine meadows to short-term (three years) and long-term warming (eight years). The results showed that the short-term warming increased air temperature by 0.31°C and decreased relative humidity by 2.54%, resulting in the air being warmer and drier. The long-term warming increased air temperature and relative humidity by 0.19°C and 1.47%, respectively, and the air tended to be warmer and wetter. The short-term warming increased soil temperature by 2.44°C and decreased soil moisture by 12.47%, whereas the long-term warming increased soil temperature by 1.76°C and decreased soil moisture by 9.90%. This caused the shallow soil layer to become warmer and drier under both short-term and long-term warming. Furthermore, the degree of soil drought was alleviated with increased warming duration. Under the long-term warming, the importance value and aboveground biomass of plants in different families changed. The importance values of grasses and sedges decreased by 47.56% and 3.67%, respectively, while the importance value of weeds increased by 1.37%. Aboveground biomass of grasses decreased by 36.55%, while those of sedges and weeds increased by 8.09% and 15.24%, respectively. The increase in temperature had a non-significant effect on species diversity. The species diversity indices increased at the early stage of warming and decreased at the late stage of warming, but none of them reached significant levels (P>0.05). Species diversity had no significant correlation with soil temperature and soil moisture under both short-term and long-term warming. Soil temperature and aboveground biomass were positively correlated in the control plots (P=0.014), but negatively correlated under the long-term warming (P=0.013). Therefore, eight years of warming aggravated drought in the shallow soil layer, which is beneficial for the growth of weeds but not for the growth of grasses. Warming changed the structure of alpine meadow communities and had a certain impact on the community species diversity. Our studies have great significance for the protection and effective utilization of alpine vegetation, as well as for the prevention of grassland degradation or desertification in high-altitude regions.



Key wordsclimate warming      long-term warming      species diversity indices      aboveground biomass      soil microclimate      correlation analysis      alpine meadows     
Received: 13 May 2019      Published: 10 March 2020
Corresponding Authors:
About author: *Corresponding author: XU Manhou (E-mail: xumanhou@163.com)
Cite this article:

WEN Jing, QIN Ruimin, ZHANG Shixiong, YANG Xiaoyan, XU Manhou. Effects of long-term warming on the aboveground biomass and species diversity in an alpine meadow on the Qinghai-Tibetan Plateau of China. Journal of Arid Land, 2020, 12(2): 252-266.

URL:

http://jal.xjegi.com/10.1007/s40333-020-0064-z     OR     http://jal.xjegi.com/Y2020/V12/I2/252

Fig. 1 Location of the study area on the Qinghai-Tibetan Plateau, China (a), a photograph of the warming plot (b) and the design of experimental plots (c)
Item T Y M T×Y T×M Y×M T×Y×M
Air temperature 0.054 0.000 0.000 0.038 0.294 0.000 0.560
Relative humidity 0.037 0.016 0.000 0.037 0.795 0.143 0.998
Table 1 Multi-way ANOVA of air temperature and relative humidity in different treatments, years and months
Fig. 2 Variations in air temperature (a) and relative humidity (b) in the growing season (from May to September) in different years and under different treatments. The shaded areas indicate standard errors (n=5).
Item T Y M T×Y T×M Y×M T×Y×M
Soil temperature 0.002 0.119 0.000 0.280 0.955 0.615 0.994
Soil moisture 0.277 0.223 0.015 0.977 0.995 0.933 1.000
Table 2 Multi-way ANOVA of soil temperature and soil moisture in different treatments, years and months
Fig. 3 Variations in soil temperature (a) and soil moisture (b) in the growing season (from May to September) in different years and under different treatments. The shaded areas indicate standard errors (n=5).
Item T Y F T×Y T×F Y×F T×Y×F
Importance value 0.098 0.000 0.000 0.793 0.604 0.019 0.892
Simpson index 0.774 0.000 0.236
Shannon-Weiner index 0.511 0.000 0.566
Margalef index 0.763 0.000 0.996
Pielou index 0.885 0.177 0.307
Aboveground biomass 0.826 0.164 0.000 0.570 0.332 0.315 0.962
Table 3 Multi-way ANOVA of vegetation importance value, species diversity indices and aboveground biomass in different treatments, years and families
Fig. 4 Variations in importance values of grasses (a), sedges (b) and weeds (c) in different years and under different treatments. The error bars indicate standard errors (n=3). It should be noted that grasses were not appeared under the warming treatment in 2011.
Fig. 5 Variations in species diversity indices in different years and under different treatments. (a), Simpson index; (b), Shannon-Weiner index; (c), Pielou index; (d), Margalef index. The error bars indicate standard errors (n=3).
Fig. 6 Variations in aboveground biomass of grasses (a), sedges (b) and weeds (c) and the total aboveground biomass (d) in different years and under different treatments. The error bars indicate standard errors (n=3). It should be noted that grasses did not appear in the warming plots in 2011.
Warming time scale Item Soil temperature Soil moisture
Control Warming Control Warming
Short-term warming
(three years)
Simpson index 0.246 0.143 -0.301 -0.223
Shannon-Weiner index 0.244 0.212 -0.282 -0.287
Margalef index 0.245 0.287 -0.251 -0.376
Pielou index 0.123 -0.127 -0.138 -0.084
Aboveground biomass 0.660* -0.287 -0.359 0.406
Long-term warming
(eight years)
Simpson index 0.298 0.144 -0.355 -0.304
Shannon-Weiner index 0.385* 0.159 -0.417* -0.326
Margalef index 0.418* 0.195 -0.414* -0.315
Pielou index 0.030 0.020 -0.074 -0.217
Aboveground biomass 0.296 -0.464* -0.028 0.178
Table 4 Correlation analysis of soil microclimate factors (soil temperature and soil moisture) with species diversity indices (Simpson index, Shannon-Weiner index, Margalef index and Pielou index) and aboveground biomass at different warming time scales and under different treatments
[1]   Alward R D, Detling J K, Milehunas D G. 1999. Grassland vegetation changes and nocturnal global warming. Science, 283(5399): 229-231.
doi: 10.1126/science.283.5399.229 pmid: 9880257
[2]   Boeck H J, Lemmens C H, Gielen H, et al. 2007. Combined effects of climate warming and plant diversity loss on above- and below-ground grassland productivity. Environmental and Experimental Botany, 60(1): 95-104.
doi: 10.1016/j.envexpbot.2006.07.001
[3]   Grime J P. 2001. Plant Strategies, Vegetation Processes, and Ecosystem Properties (2nd ed.). New York: John Wiley and Sons, Ltd., 1-471.
[4]   Hautier Y, Seabloom E W, Borer E T, et al. 2014. Eutrophication weakens stabilizing effects of diversity in natural grasslands. Nature, 508(7497): 521-525.
doi: 10.1038/nature13014
[5]   Hautier Y, Tilman D, Isbell F, et al. 2015. Anthropogenic environmental changes affect ecosystem stability via biodiversity. Science, 348(6232): 336-340.
doi: 10.1126/science.aaa1788 pmid: 25883357
[6]   Hou Y H, Zhou G S, Xu Z Z. 2013. An overview of research progress on responses of grassland ecosystems to global warming based on infrared heating experiments. Chinese Journal of Plant Ecology, 37(12): 1153-1167. (in Chinese)
doi: 10.3724/SP.J.1258.2013.00118
[7]   Huang D Q, Yu L, Zhang Y S, et al. 2011. Above-ground biomass and its relationship to soil moisture of natural grassland in the northern slopes of the Qilian Mountains. Acta Prataculturae Sinica, 20(3): 20-27. (in Chinese)
doi: 10.11686/cyxb20110302
[8]   Jiang Y B, Fan M, Zhang Y J. 2017. Effect of short-term warming on plant community features of alpine meadow in Northern Tibet. Chinese Journal of Ecology, 36(3): 616-622. (in Chinese)
[9]   Kimball B A, Conley M M, Wang S, et al. 2007. Infrared heater arrays for warming ecosystem field plots. Global Change Biology, 14(2): 309-320.
doi: 10.1111/j.1365-2486.2007.01486.x
[10]   Klein J A, Harte J, Zhao X Q. 2004. Experimental warming causes large and rapid species loss, dampened by simulated grazing, on the Tibetan Plateau. Ecology Letters, 7(12): 1170-1179.
doi: 10.1111/ele.2004.7.issue-12
[11]   Kudo G, Suzuki S. 2003. Warming effects on growth, production, and vegetation structure of alpine shrubs: A five-year experiment in northern Japan. Oecologia, 135(2): 280-287.
doi: 10.1007/s00442-003-1179-6 pmid: 12698350
[12]   Li J R, Liu Z H. 2017. High-cold meadow plants respond to long-term warming. Qinhai Prataculture, 26(3): 13-18, 24. (in Chinese)
[13]   Li J X, Zhang Y J, Zhu J T, et al. 2019. Responses of community characteristics and productivity to a warming gradient in a Kobresia pygmaea meadow of the Tibetan Plateau. Acta Ecologica Sinira, 39(2): 474-485. (in Chinese)
[14]   Li N, Wang G X, Yang Y, et al. 2011. Short-term effects of temperature enhancement on community structure and biomass of alpine meadow in the Qinghai-Tibet Plateau. Acta Ecologica Sinica, 31(4): 895-905. (in Chinese)
[15]   Li Y N, Zhao L, Zhao X Q, et al. 2004. Effects of a 5-years mimic temperature increase to the structure and productivity of Kobresia humilis meadow. Acta Agrestia Sinica, 12(3): 236-239. (in Chinese)
[16]   Lin D L, Xia J Y, Wan S Q. 2010. Climate warming and biomass accumulation of terrestrial plants: A meta-analysis. New Phytologist, 188(1): 187-198.
doi: 10.1111/j.1469-8137.2010.03347.x pmid: 20609113
[17]   Lu H, Cong J, Liu X, et al. 2015. Plant diversity patterns along altitudinal gradients in alpine meadows in the Three River Headwater Region, China. Acta Prataculturae Sinica, 24(7): 197-204. (in Chinese)
doi: 10.11686/cyxb2014347
[18]   Ma L, Xu M H, Zhai D T, et al. 2017. Response of alpine meadow vegetation-soil system to climate change: A review. Chinese Journal of Ecology, 36(6): 1708-1717. (in Chinese)
[19]   Ma W H, Fang J Y, Yang Y H, et al. 2010. Biomass carbon stocks and their changes in northern China's grasslands during 1982-2006. Science China Life Sciences, 53(7): 841-850.
doi: 10.1007/s11427-010-4020-6 pmid: 20697873
[20]   Ma Z Y, Liu H Y, Mi Z R, et al. 2017. Climate warming reduces the temporal stability of plant community biomass production. Nature Communications, 8(8): 15378, doi: 10.1038/ncomms15378.
doi: 10.1038/ncomms15378 pmid: 28488673
[21]   Niu S L, Han X G, Ma K P, et al. 2007. Field facilities in global warming and terrestrial ecosystem research. Journal of Plant Ecology, 31(2): 262-271. (in Chinese)
[22]   Oliver T H, Isaac N J B, August T A, et al. 2015. Declining resilience of ecosystem functions under biodiversity loss. Nature Communications, 6(1): 10122, doi: 10.1038/ncomms10122.
doi: 10.1038/ncomms10122
[23]   Oreskes N. 2004. The scientific consensus on climate change. Science, 306(5702): 1686, doi: 10.1126/science.1103618.
doi: 10.1126/science.1103618 pmid: 15576594
[24]   Pauli H, Gottfried M, Grabherr G. 2001. High summits of the Alps in a changing climate. In: Walther G R, Burga C A, Edwards P J. ''Fingerprints'' of Climate Change: Adapted Behaviour and Shifting Species Ranges. New York: Kluwer Academic/Plenum Publishers, 139-149.
[25]   Peng F, Xue X, Xu M H, et al. 2017. Warming-induced shift towards forbs and grasses and its relation to the carbon sequestration in an alpine meadow. Environmental Research Letters, 12(4): 044010, doi: 10.1088/1748-9326/aa6508.
doi: 10.1088/1748-9326/aa6508
[26]   Prieto P, Penuelas J, Niinemets U, et al. 2009. Changes in the onset of spring growth in shrubland species in response to experimental warming along a north-south gradient in Europe. Global Ecology and Biogeography, 18(4): 473-484.
doi: 10.1111/geb.2009.18.issue-4
[27]   Qin D H, Thomas S. 2014. Highlights of the IPCC Working Group I Fifth Assessment Report. Climate Change Research, 10(1): 1-6. (in Chinese)
[28]   Qiu J. 2008. China: The third pole. Nature, 454(7203): 393-396.
doi: 10.1038/454393a pmid: 18650887
[29]   Sandvik S M, Heegaard E, Elven R, et al. 2004. Responses of alpine snowbed vegetation to long-term experimental warming. Ecoscience, 11(2): 150-159.
doi: 10.1080/11956860.2004.11682819
[30]   Shi F S, Wu N, Luo P. 2008. Effect of temperature enhancement on community structure and biomass of subalpine meadow in northwestern Sichuan. Acta Ecologica Sinica, 28(11): 5286-5293. (in Chinese)
[31]   Shi Z, Sherry R, Xu X, et al. 2015. Evidence for long-term shift in plant community composition under experimental climate warming. Journal of Ecology, 103(5): 1131-1140.
doi: 10.1111/1365-2745.12449
[32]   Walker M D, Wahren C H, Hollister R D, et al. 2006. Plant community responses to experimental warming across the tundra biome. Proceedings of the National Academy of Sciences of the United States of America, 103(5): 1342-1346.
[33]   Wan S Q, Luo Y Q, Wallace L L. 2002. Changes in microclimate induced by experimental warming and clipping in tallgrass prairie. Global Change Biology, 8(8): 754-768.
doi: 10.1046/j.1365-2486.2002.00510.x
[34]   Wang C S, Meng F D, Li X E, et al. 2013. Responses of alpine grassland ecosystem on Tibetan Plateau to climate change: A mini review. Journal of Ecology, 32(6): 1587-1595. (in Chinese)
[35]   Wang Y H, Zhou G S. 2004. Responses of temporal dynamics of aboveground net primary productivity of Leymus chinensis community to precipitation fluctuation in Inner Mongolia. Acta Ecologica Sinica, 24(6): 1140-1145. (in Chinese)
[36]   Welker J M, Molau U, Parsons A N, et al. 1997. Responses of Dryas octopetala to ITEX environmental manipulations: A synthesis with circumpolar comparisons. Global Change Biology, 3(S1): 61-73.
[37]   Wu J S, Li X J, Shen Z X. 2012. Species diversity distribution pattern of alpine grasslands communities along a precipitation gradient across northern Tibetan Plateau. Acta Prataculturae Sinica, 21(3): 17-25. (in Chinese)
doi: 10.11686/cyxb20120303
[38]   Wu S H, Yin Y H, Zheng D, et al. 2005. Climate changes in the Tibetan Plateau during the last three decades. Acta Geographica Sinica, 60(1): 3-11. (in Chinese)
doi: 10.11821/xb200501001
[39]   Xu M H, Xue X. 2013. A research on summer vegetation characteristics & short-time responses to experimental warming of alpine meadow in the Qinghai-Tibetan Plateau. Acta Ecologica Sinica, 33(7): 2071-2083. (in Chinese)
doi: 10.5846/stxb
[40]   Xu M H, Liu M, Xue X, et al. 2015a. Effects of warming and clipping on the growth of aboveground vegetation in an alpine meadow. Ecology and Environmental Sciences, 24(2): 231-236. (in Chinese)
doi: 10.1038/s41598-017-16645-2 pmid: 29180638
[41]   Xu M H, Peng F, You Q G, et al. 2015b. Effects of warming and clipping on plant and soil properties of an alpine meadow in the Qinghai-Tibetan Plateau, China. Journal of Arid Land, 7(2): 189-204.
doi: 10.1007/s40333-014-0010-z
[42]   Xu M H, Liu M, Xue X, et al. 2016. Warming effects on plant biomass allocation and correlations with the soil environment in an alpine meadow, China. Journal of Arid Land, 8(5): 773-786.
doi: 10.1007/s40333-016-0013-z
[43]   Xu M H, Li X L, Liu M, et al. 2020. Spatial variation patterns of plant herbaceous community response to warming along latitudinal and altitudinal gradients in mountainous forests of the Loess Plateau, China. Environmental and Experimental Botany, 172: 103983, doi: 10.1016/j.envexpbot.2020.103983.
doi: 10.1016/j.envexpbot.2020.103983
[44]   Yang Y W, Li X L, Zhou X H, et al. 2016. Study on relationship between plant community degradation and soil environment in an alpine meadow. Acta Agrestia Sinica, 24(6): 1211-1217. (in Chinese)
[45]   Yang Z L, Zhang Q, Su F L, et al. 2017. Daytime warming lowers community temporal stability by reducing the abundance of dominant, stable species. Global Change Biology, 23(1): 154-163.
doi: 10.1111/gcb.13391 pmid: 27275848
[46]   Yin H J, Lai T, Cheng X Y, et al. 2008. Warming effects on growth and physiology of seedlings of Betula albo-sinensis and Abies faxoniana under two contrasting light conditions in subalpine coniferous forest of Western Sichuan, China. Journal of Plant Ecology, 32(5): 1072-1083. (in Chinese)
[47]   Zhao T Q, Ouyang Z Y, Zheng H, et al. 2004. Analyses on grassland ecosystem services and its indexes for assessment. Chinese Journal of Ecology, 23(6): 155-160. (in Chinese)
[48]   Zhao X Q, Chen S L, Cao G M, et al. 2003. Study on interacting mechanisms of alpine meadow ecosystem with global change in Tibetan Plateau. Technology and Industry, 3(8): 51-59. (in Chinese)
[49]   Zhao Y Y, Zhou H K, Yao B Q, et al. 2015. The influence of long-term simulating warming to the plant community and soil nutrient of alpine meadow. Acta Agrestia Sinica, 23(4): 665-671. (in Chinese)
[50]   Zhou H K, Zhou X M, Zhao X Q. 2000. A preliminary study of the influence of simulated greenhouse effect on a Kobresia humilis meadow. Acta Phytoecologica Sinica, 24(5): 547-553. (in Chinese)
[51]   Zong N, Chai X, Shi P L, et al. 2016. Responses of plant community structure and species composition to warming and N addition in an alpine meadow, northern Tibetan Plateau, China. Chinese Journal of Applied Ecology, 27(12): 3739-3748. (in Chinese)
[1] LU Qing, KANG Haili, ZHANG Fuqing, XIA Yuanping, YAN Bing. Impact of climate and human activity on NDVI of various vegetation types in the Three-River Source Region, China[J]. Journal of Arid Land, 2024, 16(8): 1080-1097.
[2] YAN Yujie, CHENG Yiben, XIN Zhiming, ZHOU Junyu, ZHOU Mengyao, WANG Xiaoyu. Impacts of climate change and human activities on vegetation dynamics on the Mongolian Plateau, East Asia from 2000 to 2023[J]. Journal of Arid Land, 2024, 16(8): 1062-1079.
[3] WANG Min, CHEN Xi, CAO Liangzhong, KURBAN Alishir, SHI Haiyang, WU Nannan, EZIZ Anwar, YUAN Xiuliang, Philippe DE MAEYER. Correlation analysis between the Aral Sea shrinkage and the Amu Darya River[J]. Journal of Arid Land, 2023, 15(7): 757-778.
[4] ZHANG Shubao, LEI Jun, TONG Yanjun, ZHANG Xiaolei, LU Danni, FAN Liqin, DUAN Zuliang. Temporal and spatial responses of ecological resilience to climate change and human activities in the economic belt on the northern slope of the Tianshan Mountains, China[J]. Journal of Arid Land, 2023, 15(10): 1245-1268.
[5] LI Hongliang, WANG Puyu, LI Zhongqin, JIN Shuang, XU Chunhai, MU Jianxin, HE Jie, YU Fengchen. Effect of topography on the changes of Urumqi Glacier No. 1 in the Chinese Tianshan Mountains[J]. Journal of Arid Land, 2022, 14(7): 719-738.
[6] GE Qianqian, XU Wenjie, FU Meichen, HAN Yingxin, AN Guoqiang, XU Yuetong. Ecosystem service values of gardens in the Yellow River Basin, China[J]. Journal of Arid Land, 2022, 14(3): 284-296.
[7] YAO Kaixuan, Abudureheman HALIKE, CHEN Limei, WEI Qianqian. Spatiotemporal changes of eco-environmental quality based on remote sensing-based ecological index in the Hotan Oasis, Xinjiang[J]. Journal of Arid Land, 2022, 14(3): 262-283.
[8] WU Changxue, Xu Ruirui, QIU Dexun, DING Yingying, GAO Peng, MU Xingmin, ZHAO Guangju. Runoff characteristics and its sensitivity to climate factors in the Weihe River Basin from 2006 to 2018[J]. Journal of Arid Land, 2022, 14(12): 1344-1360.
[9] HUANG Xiaotao, LUO Geping, CHEN Chunbo, PENG Jian, ZHANG Chujie, ZHOU Huakun, YAO Buqing, MA Zhen, XI Xiaoyan. How precipitation and grazing influence the ecological functions of drought-prone grasslands on the northern slopes of the Tianshan Mountains, China?[J]. Journal of Arid Land, 2021, 13(1): 88-97.
[10] Xiang ZHAO, Shuya HU, Jie DONG, Min REN, Xiaolin ZHANG, Kuanhu DONG, Changhui WANG. Effects of spring fire and slope on the aboveground biomass, and organic C and N dynamics in a semi-arid grassland of northern China[J]. Journal of Arid Land, 2019, 11(2): 267-279.
[11] GuangNa ZHANG, ZhenHua CHEN, AiMing ZHANG, LiJun CHEN, ZhiJie WU. Influence of climate warming and nitrogen deposition on soil phosphorus composition and phosphorus availability in a temperate grassland, China[J]. Journal of Arid Land, 2014, 6(2): 156-163.
[12] Feng YAN, Bo WU, YanJiao WANG. Estimating aboveground biomass in Mu Us Sandy Land using Landsat spectral derived vegetation indices over the past 30 years[J]. Journal of Arid Land, 2013, 5(4): 521-530.
[13] ZhaoFeng CHANG, ShuJuan ZHU, FuGui HAN, ShengNian ZHONG. Differences in response of desert plants of different ecotypes to climate warming: a case study in Minqin, Northwest China[J]. Journal of Arid Land, 2012, 4(2): 140-150.