Abstract
Spatial heterogeneity of fuel moisture content determines the spread rate and direction of a forest fire. Research on the spatial heterogeneity of the moisture content of dead fuel of Larix gmelinii Rupr. showed that: (1) fuel moisture content in litter layer < semi-humus layer < humus layer, and the coefficient of variation decreased with sampling depth; (2) the sill value of the semi-humus layer was highest, the humus layer moderate, the litter layer the smallest, overall, the spatial heterogeneity of the semi-humus layer was the highest. The humus layer in the slant direction and three layers in a vertical direction showed strong spatial correlation with the lowest nugget coefficient of 0.0968; (3) the fuel moisture content of the humus layer showed strong spatial anisotropy; and, (4) estimating the total moisture content of the sampling site by stimulated sampling reasonable control of the sampling interval, and increasing the sampling intensity can reduce the error. When the sampling intensity is increased to more than 16 and the sampling interval 3 m, the standard error is < 15%. The spatial heterogeneity of fuel moisture content is best revealed by increasing sampling density, sampling in different fire seasons, and in different slope directions and positions. The results can provide a scientific basis for forest fire prediction and prevention.
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References
Bi HX, Li XY, Liu X, Li J, Guo MX (2006) Spatial heterogeneity of soil moisture using geological statistics method in the loess region of west Shanxi Province. J Beijing Forest Univ 28(5):59–66 (in Chinese)
Conen F, Zerva A, Arrouays D, Jolivet C, Jarvis PG, Grace J, Mencuccini M (2005) The carbon balance of forest soils: detectability of changes in soil carbon stocks in temperate and boreal forests. SEB Exp Biol Ser 2005:235–249
Ettema CH, Wardle DA (2002) Spatial soil ecology. Trends Ecol Evol 17(4):177–183
Fu TG, Chen HS, Zhang W, Gao P, Wang KL (2014) Spatial variability of soil moisture content and its influencing factors in small Karst catchment during dry period, China. Trans Chin Soc Agric Eng 30(14):124–131 (in Chinese)
Han YZ, Wang ZQ (2002) Spatial heterogeneity and forest regeneration. Chin J Appl Ecol 5:615–619 (in Chinese)
Hao JX (2005) The study on spatial heterogeneity of soil water and salinity in oasis and transition between oasis and desert of Zhangye City. Doctoral dissertation. Northwest Normal University (in Chinese)
Hernandez-Stefanoni JL, Ponce-Hernandez R (2006) Mapping the spatial variability of plant diversity in a tropical forest: comparison of spatial interpolation methods. Environ Monit Assess 117(1–3):307–334
Ivanov VY, Fatichi S, Jenerette GD, Espeleta JF, Troch PA, Huxman TE (2010) Hysteresis of soil moisture spatial heterogeneity and the “homogenizing” effect of vegetation. Water Resour Res. https://doi.org/10.1029/2009WR008611
Jing S, Tian J, Wang JY, Wang QF, Yang GD, Guo DL, Yu GR (2016) Small-scale spatial heterogeneity of soil organic matter fractions within an original broad-leaved Korean pine forest in Changbai Mountain. Acta Ecol Sin 36(20):6445–6456 (in Chinese)
Li HB, Wang ZQ, Wang QC (1998) Theory and methodology of spatial heterogeneity quantification. Chin J Appl Ecol 6:93–99 (in Chinese)
Li M, Duan WB, Chen LX, Wei L, Feng J, Wang SQ (2012) Geostatistical analysis on spatiotemporal distribution pattern of soil water content of forest gap in Pinus koraiensis dominated broadleaved mixed forest. Acta Ecol Sin 32(5):1396–1402 (in Chinese)
Li YD, Cui X, Wen P, Yan JX (2015) Research progress on water content of forest fuel. For Fire Prevent 4:39–41 (in Chinese)
Liu L (2013) Patial variability of soil organic carbon and nutrients in typical forestlands in low mountain area of Changbai Mountain. Beijing Forestry University, Beijing (in Chinese)
Liu BX, Shao MA (2012) Soil water content heterogeneity at small-scale on degraded grasslands on Loess Plateau. Sci Soil Water Conserv 10(4):60–65 (in Chinese)
Liu ZH, Chang Y, Chen HW, Zhou R, Jing GZ, Zhang HX, Zhang CM (2008) Spatial pattern of land surface dead combustible fuel load in Huzhong forest area in Great Xing’an Mountains. Chin J Appl Ecol 19(3):487–493 (in Chinese)
Man ZY, Hu HQ, Zhang YL, Liu FC, Li Y (2019) Dynamic change and prediction model of moisture content of surface fuel in Maoer Mountain of northeastern. J Beijing For Univ 41(3):49–57 (in Chinese)
Mao WX, Tong DH, Zhang C, Zhao DD, Ding YY, Jin S (2012) Spatial heterogeneity of moisture content of land surface dead fuel in larch stand and effects of sampling methods on moisture estimation. J Northeast For Univ 40(5):29–33 (in Chinese)
Matheron G (1963) Principles of geostatistics. Econ Geol 58(8):1246–1266
Owe M, Jones EB, Schmugge TJ (1982) Soil moisture variation patterns observed in Hand County, South Dakota. J Am Water Resour Assoc 18(6):949–954
Qiu BG, Li YX, Yang XL, Ma HP (2016) Distribution pattern of soil moisture spacetime of forestland in semi-arid valley of Lhasa, southwestern. J Beijing For Univ 38(11):9–15 (in Chinese)
Shi LL (2012) Study on the spatial heterogeneity of soil physical and chemical properties of primary tropical montane rainforest in Jianfengling. Chinese Academy of Forestry, Hainan Island (in Chinese)
Song D, Li H, Liu SJ, Zou GY, Liu DS (2019) A geostatistic investigation of the comprehensive evaluation of fertility and spatial heterogeneity of forest soil nutrients in hilly and mountainous regions of southern China. Arab J Geosci 12(9):292
Wang J, Fu BJ, Qiu Y, Chen LD (2000) Spatiotemporal variability of soil moisture in small catchment on Loess Plateau—semivariograms. Acta Geogr Sin 4:428–438 (in Chinese)
Wang J, Fu BJ, Qiu Y, Chen LD, Wang Z (2001) Geostatistical analysis of soil moisture variability on Da Nangou catchment of the loess plateau. China Environ Geol 41(1–2):113–120
Wang QH, Yu XS, Li SY, Tong YM, Liu B, Ruan DZ (2012) Study on dynamic characteristics of forest fuel. For Invent Plan 37(5):40–43 (in Chinese)
Wang T, Kang FF, Han HR, Cheng XQ, Bai YC, Ma JY, Guo ZH (2017) Factors influencing spatial heterogeneity of soil moisture content in a small catchment of Mount Taiyue, Shanxi Province. Acta Ecol Sin 37(11):3902–3911 (in Chinese)
Webster R (1985) Quantitative spatial analysis of soil in the field. Adv Soil Sci 3:61–70
Xing XG, Zhao WG, Liu Y, Ma XY (2015) Spatial variability of soil moisture in kiwi field under different sampling density conditions. Trans Chin Soc Agric Mach 46(8):138–145 (in Chinese)
Yan BL, Zhao QG, Zhang B, Li YL, Zhao PW, Zhang H (2017) Effects of different vegetation types on soil physicochemical properties and soil respiration. Ecol Environ Sci 26(2):189–195 (in Chinese)
Yan JX, Sun Q, Li JJ, Li HJ (2019) Effect of the sampling scale and number on the heterogeneity of soil respiration in a mixed broadleaf-conifer forest. Environ Sci 40(1):383–391 (in Chinese)
Yang YJ, Zhu JH, Liu SH, Tang Y, Liu YZ, Feng WJ (2009) Spatial statistic properties of agronomic parameters and soil moisture content in wheat jointing stage. Trans Chin Soc Agric Mach 40(S1):159–164 (in Chinese)
Yin H, Li H, Jiang ZC, Yang QY, Wang Y (2013) Spatial heterogeneity of soil moisture in typical karst areas. Jiangsu Agric Sci 41(7):332–336 (in Chinese)
Zhang XG (2016) Spatial distribution of soil moisture in southern slope of Qilian Mountains. Qinghai Normal University, Xining (in Chinese)
Zhang SL, Yong WY, Yang YX, Lu ZX, Zhang F, Li GL (2008) Study on the vegetation classification in Saihanwula mature reserve. J Inner Mongolia Univ 01:74–79 (in Chinese)
Zhang HW, Ma JY, Zhang ZW, Sun T, Lv GH (2009) Utilization of and research on geostatistics in soil science. J Lanzhou Univ (Nat Sci) 45(6):14–20 (in Chinese)
Zhang ZJ, Liu LY, Liu YQ, Wu CS, Qiu MY, Guo JR, Deng WP (2017) Spatiotemporal variation of soil moisture in summer season during process of vegetation restoration in degraded red soil region. J Southwest For Univ 37(3):88–94 (in Chinese)
Zhang H, Dong CC, Niu S, Zhang YL, Jin S, Wang YX (2018) Effects of different sampling methods on forecast model accuracy of predicting fuels in forests in Pangu forest farm, China. J Cent South Univ For Technol 38(5):33–39 (in Chinese)
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Data measurement and analysis were provided by the Saihanwula Forestry Ecosystem Positioning Research Station in Inner Mongolia.
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Project funding: This study was supported (1) National Natural Science Foundation projects (31860211); (2) China Postdoctoral Science Foundation Project (2019M653807XB); (3) National Key Research and Development Project of China (2017YFC0504003); (4) Inner Mongolia Agricultural University High-Level Talent Introduction Project (206039); (5) Inner Mongolia Agricultural University Postdoctoral Fund (108950).
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Corresponding editor: Yu Lei.
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Zhang, H., Ma, S., Kang, P. et al. Spatial heterogeneity of dead fuel moisture content in a Larix gmelinii forest in Inner Mongolia using geostatistics. J. For. Res. 32, 569–577 (2021). https://doi.org/10.1007/s11676-020-01167-x
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DOI: https://doi.org/10.1007/s11676-020-01167-x