Mapping biocrust distribution in China's drylands under changing climate

被引:24
作者
Qiu, Dexun [1 ,2 ,3 ]
Bowker, Matthew A. [4 ,5 ]
Xiao, Bo [1 ,2 ,3 ,8 ]
Zhao, Yunge [2 ]
Zhou, Xiaobing [6 ]
Li, Xinrong [7 ]
机构
[1] China Agr Univ, Coll Land Sci & Technol, Key Lab Arable Land Conservat North China, Minist Agr & Rural Affairs, Beijing, Peoples R China
[2] Northwest A&F Univ, Inst Soil & Water Conservat, Chinese Acad Sci & Minist Water Resources, State Key Lab Soil Eros & Dryland Farming Loess Pl, Yangling 712100, Peoples R China
[3] Ningxia Univ, Breeding Base State Key Lab Land Degradat & Ecol R, Key Lab Restorat & Reconstruct Degraded Ecosyst No, Minist Educ, Yinchuan 750021, Peoples R China
[4] No Arizona Univ, Sch Forestry, Flagstaff, AZ 86011 USA
[5] No Arizona Univ, Ctr Ecosyst Sci & Soc, Flagstaff, AZ 86011 USA
[6] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China
[7] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resource Res, Shapotou Desert Res & Expt Stn, Lanzhou 730000, Peoples R China
[8] China Agr Univ, Coll Anim Sci & Technol, 2 Yuanmingyuan West Rd, Beijing 100193, Peoples R China
基金
中国国家自然科学基金;
关键词
Biological soil crust; Spatial prediction modeling; Spatial distribution; Climate change; Dryland; BIOLOGICAL SOIL CRUSTS; DISTRIBUTION PATTERNS; SAMPLE-SIZE; DESERT; MODELS; COMMUNITIES; PERFORMANCE; PREDICTION; DYNAMICS; PLATEAU;
D O I
10.1016/j.scitotenv.2023.167211
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Biological soil crusts (biocrusts) are widely distributed in global drylands and have multiple significant roles in regulating dryland soil and ecosystem multifunctionality. However, maps of their distribution over large spatial scales are uncommon and sometimes unreliable, because our current remote sensing technology is unable to efficiently discriminate between biocrusts and vascular plants or even bare soil across different ecosystem and soil types. The lack of biocrust spatial data may limit our ability to detect risks to dryland function or key tipping points. Here, we indirectly mapped biocrust distribution in China's drylands using spatial prediction modeling, based on a set of occurrences of biocrusts (379 in total) and high-resolution soil and environmental data. The results showed that biocrusts currently cover 13.9 % of China's drylands (or 5.7 % of China's total area), with moss-, lichen-, and cyanobacterial-dominated biocrusts each occupying 5.7 % to 10.7 % of the region. Biocrust distribution is mainly determined by soil properties (soil type and contents of gravel and nitrogen), aridity stress, and altitude. Their most favorable habitat is arenosols with low contents of gravel and nitrogen, in climate with a drought index of 0.54 and an altitude of about 500 m. By 2050, climate change will lead to a 5.5 %-9.0 % reduction in biocrust cover. Lichen biocrusts exhibit a high vulnerability to climate change, with potential reductions of up to 19.0 % in coverage. Biocrust cover loss is primarily caused by the combined effects of the elevated temperature and increased precipitation. Our study provides the first high-resolution (250 x 250 m) map of biocrust distribution in China's drylands and offers a reliable approach for mapping regional or global biocrust colonization. We suggest incorporating biocrusts into Earth system models to identify their significant impact on global or regional-scale processes under climate change.
引用
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页数:12
相关论文
共 64 条
  • [1] Biological soil crusts in ecological restoration: emerging research and perspectives
    Antoninka, Anita
    Faist, Akasha
    Rodriguez-Caballero, Emilio
    Young, Kristina E.
    Chaudhary, V. Bala
    Condon, Lea A.
    Pyke, David A.
    [J]. RESTORATION ECOLOGY, 2020, 28 : S3 - S8
  • [2] Proxy global assessment of land degradation
    Bai, Z. G.
    Dent, D. L.
    Olsson, L.
    Schaepman, M. E.
    [J]. SOIL USE AND MANAGEMENT, 2008, 24 (03) : 223 - 234
  • [3] Moderate disturbance increases the PLFA diversity and biomass of the microbial community in biocrusts in the Loess Plateau region of China
    Bao, Tianli
    Gao, Liqian
    Wang, Shanshan
    Yang, Xueqin
    Ren, Wei
    Zhao, Yunge
    [J]. PLANT AND SOIL, 2020, 451 (1-2) : 499 - 513
  • [4] Response of desert biological soil crusts to alterations in precipitation frequency
    Belnap, J
    Phillips, SL
    Miller, ME
    [J]. OECOLOGIA, 2004, 141 (02) : 306 - 316
  • [5] Dynamics of cover, UV-protective pigments, and quantum yield in biological soil crust communities of an undisturbed Mojave Desert shrubland
    Belnap, Jayne
    Phillips, Susan L.
    Smith, Stanley D.
    [J]. FLORA, 2007, 202 (08) : 674 - 686
  • [6] No projected global drylands expansion under greenhouse warming
    Berg, Alexis
    McColl, Kaighin A.
    [J]. NATURE CLIMATE CHANGE, 2021, 11 (04) : 331 - U71
  • [7] Correlates of biological soil crust abundance across a continuum of spatial scales: support for a hierarchical conceptual model
    Bowker, MA
    Belnap, J
    Davidson, DW
    Harland, G
    [J]. JOURNAL OF APPLIED ECOLOGY, 2006, 43 (01) : 152 - 163
  • [8] Revisiting classic water erosion models in drylands: The strong impact of biological soil crusts
    Bowker, Matthew A.
    Belnap, Jayne
    Chaudhary, V. Bala
    Johnson, Nancy C.
    [J]. SOIL BIOLOGY & BIOCHEMISTRY, 2008, 40 (09) : 2309 - 2316
  • [9] Random forests
    Breiman, L
    [J]. MACHINE LEARNING, 2001, 45 (01) : 5 - 32
  • [10] The Study of Biological Soil Crusts: Hotspots and Prospects
    Bu, Chongfeng
    Wu, Shufang
    Xie, Yongsheng
    Zhang, Xingchang
    [J]. CLEAN-SOIL AIR WATER, 2013, 41 (09) : 899 - 906