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Yu Hang, Gao Ruoyun, Yang Liusheng, Li Songyang, Liu Ying, Lin Yongming, Wang Daojie, Li Jian. Coupling relationship between vegetation and soil in the early stage of ecological restoration after earthquake: a case study of Weizhou Town in Wenchuan County and Hanwang Town in Mianzhu City of Sichuan Province, southwestern China[J]. Journal of Beijing Forestry University, 2021, 43(5): 53-63. DOI: 10.12171/j.1000-1522.20200289
Citation: Yu Hang, Gao Ruoyun, Yang Liusheng, Li Songyang, Liu Ying, Lin Yongming, Wang Daojie, Li Jian. Coupling relationship between vegetation and soil in the early stage of ecological restoration after earthquake: a case study of Weizhou Town in Wenchuan County and Hanwang Town in Mianzhu City of Sichuan Province, southwestern China[J]. Journal of Beijing Forestry University, 2021, 43(5): 53-63. DOI: 10.12171/j.1000-1522.20200289

Coupling relationship between vegetation and soil in the early stage of ecological restoration after earthquake: a case study of Weizhou Town in Wenchuan County and Hanwang Town in Mianzhu City of Sichuan Province, southwestern China

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  • Received Date: September 25, 2020
  • Revised Date: December 22, 2020
  • Available Online: April 09, 2021
  • Published Date: May 26, 2021
  •   Objective  Studying the coupling and coordination relationship between vegetation and soil in the early stage of restoration in different climate regions of the Wenchuan earthquake-affected areas can provide a basis for promoting the ecological restoration and the coordinated development of vegetation-soil system in the disaster disturbed area.
      Method  In this study, the treated area and undestroyed area of the arid-valley climate region and the subtropical monsoon climate region (AT and AU, ST and SU) were selected as the research objects. We measured twenty-one indexes covering plant and soil, analyzed the main influencing factors and the weights of twenty-one indicators of the four ecosystems in the two climate regions by principal component analysis, and constructed the corresponding model of vegetation-soil coupling coordination degree.
      Result  SU’s D, comprehensive indexes of vegetation and soil were all significantly higher than the other three vegetation-soil systems. AT and ST were both soil lagging development type of primary coordinated development, AU and SU were synchronous development type of vegetation and soil of primary and intermediate-level coordinated development, respectively. The influencing factors of the arid-valley climate region were relatively simple: the main influencing factors of AT were soil organic carbon, total nitrogen, available nitrogen and available phosphorus, and those of AU were plant carbon, nitrogen, potassium and magnesium. The influencing factors of the subtropical monsoon climate region were vegetation-soil influencing factors coexisting: the main influencing factors of ST were species richness, biomass, soil total nitrogen and available nitrogen, and those of SU were vegetation coverage, plant phosphorus, soil available potassium and bacteria.
      Conclusion  The climate and type of ecological restoration had certain influence on the coupling status of vegetation and soil. The coupling status of vegetation-soil in SU was significantly better than the other three ecosystems. The soil environments of AT and ST were both poor, indicating that nutrient condition of treated areas did not recover to the pre-earthquake level after treatment for seven years.
  • [1]
    Zhang J D, Hull V, Xu W, et al. Impact of the 2008 Wenchuan earthquake on biodiversity and giant panda habitat in Wolong Nature Reserve, China[J]. Ecological Research, 2011, 26(3): 523−531. doi: 10.1007/s11284-011-0809-4
    [2]
    杨昌旭, 李勇, 杨志刚, 等. 汶川地震灾区不同植被恢复模式评价与筛选[J]. 四川林业科技, 2017, 38(3):11−21.

    Yang C X, Li Y, Yang Z G, et al. Evaluation and selection of different vegetation restoration models in Wenchuan earthquake areas[J]. Sichuan Forestry Science and Technology, 2017, 38(3): 11−21.
    [3]
    余杭, 罗清虎, 李松阳, 等. 灾害干扰受损森林土壤的碳、氮、磷初期恢复特征与变异性[J]. 山地学报, 2020, 38(4):532−541.

    Yu H, Luo Q H, Li S Y, et al. Initial recovery characteristics and variability of soil carbon, nitrogen, and phosphorus in the damaged forests under disaster disturbance[J]. Mountain Research, 2020, 38(4): 532−541.
    [4]
    赵丽丽, 钟哲科, 史作民. 汶川地震对岷江柏林土壤微生物群落及养分的影响[J]. 土壤通报, 2016, 47(1):98−104.

    Zhao L L, Zhong Z K, Shi Z M. Effects of Wenchuan earthquake on soil microbial communities and nutrients in 5 Cupressus chenginana forest[J]. Chinese Journal of Soil Science, 2016, 47(1): 98−104.
    [5]
    Wang S J, Liu Q M, Zhang D F. Karst rocky desertification in southwestern China: geomorphology, land use, impact and rehabilitation[J]. Land Degradation & Development, 2004, 15(2): 115−121.
    [6]
    Yang N, Zou D S, Yang M Y, et al. Relationships between vegetation characteristics and soil properties at different restoration stages on slope land with purple soils in Hengyang of Hunan Province, south-central China[J]. Chinese Journal of Applied Ecology, 2013, 24(1): 90−96.
    [7]
    许志琴, 吴忠良, 李海兵, 等. 世界上最快回应大地震的汶川地震断裂带科学钻探[J]. 地球物理学报, 2018, 61(5):1666−1679.

    Xu Z Q, Wu Z L, Li H B, et al. The most rapid respond to a large earthquake: the Wenchuan earthquake Fault Scientific Drilling Project[J]. Chinese Journal of Geophysics, 2018, 61(5): 1666−1679.
    [8]
    Sattler T, Borcard D, Arlettaz R, et al. Spider, bee, and bird communities in cities are shaped by environmental control and high stochasticity[J]. Ecology, 2010, 91(11): 3343−3353. doi: 10.1890/09-1810.1
    [9]
    Stefanowicz A M, Kapusta P, Szarek-Łukaszewska G, et al. Soil fertility and plant diversity enhance microbial performance in metal-polluted soils[J]. Science of the Total Environment, 2012, 439(15): 211−219.
    [10]
    杨宁, 邹冬生, 杨满元, 等. 衡阳紫色土丘陵坡地植被恢复阶段土壤特性的演变[J]. 生态学报, 2014, 34(10):2693−2701.

    Yang N, Zou D S, Yang M Y, et al. Changes of soil properties in re-vegetation stages on sloping-land with purple soils in Hengyang of Hunan Province, south-central China[J]. Acta Ecologica Sinica, 2014, 34(10): 2693−2701.
    [11]
    牛丽君, 梁宇, 王绍先, 等. 长白山自然保护区风灾区植被恢复评价[J]. 生态学杂志, 2013, 32(9):2375−2381.

    Niu L J, Liang Y, Wang S X, et al. Evaluation of vegetation restoration in wind disaster area in Changbai Mountains Nature Reverse, Northeast China[J]. Chinese Journal of Ecology, 2013, 32(9): 2375−2381.
    [12]
    李静鹏, 徐明锋, 苏志尧, 等. 不同植被恢复类型的土壤肥力质量评价[J]. 生态学报, 2014, 34(9):2297−2307.

    Li J P, Xu M F, Su Z Y, et al. Soil fertility quality assessment under different vegetation restoration patterns[J]. Acta Ecologica Sinica, 2014, 34(9): 2297−2307.
    [13]
    彭晚霞, 宋同清, 曾馥平, 等. 喀斯特峰丛洼地退耕还林还草工程的植被土壤耦合协调度模型[J]. 农业工程学报, 2011, 27(9):305−310. doi: 10.3969/j.issn.1002-6819.2011.09.053

    Peng W X, Song T Q, Zeng F P, et al. Models of vegetation and soil coupling coordinative degree in grain for green project in depressions between karst hills[J]. Transactions of the Chinese Society of Agricultural Engineering, 2011, 27(9): 305−310. doi: 10.3969/j.issn.1002-6819.2011.09.053
    [14]
    徐明, 张健, 刘国彬, 等. 不同植被恢复模式沟谷地植被−土壤系统耦合关系评价[J]. 自然资源学报, 2016, 31(12):2137−2146. doi: 10.11849/zrzyxb.20150736

    Xu M, Zhang J, Liu G B, et al. Analysis on vegetation-soil coupling relationship in gullies with different vegetation restoration patterns[J]. Journal of Natural Resources, 2016, 31(12): 2137−2146. doi: 10.11849/zrzyxb.20150736
    [15]
    罗青红, 宁虎森, 陈启民. 人工梭梭林(Haloxylon ammodendron)固沙过程中植被与土壤耦合关系[J]. 中国沙漠, 2018, 38(4):780−790.

    Luo Q H, Ning H S, Chen Q M. Relation between vegetation and soil of Haloxylon ammodendron plantation in the process of sand-fixation[J]. Journal of Desert Research, 2018, 38(4): 780−790.
    [16]
    李甜甜. 汶川地震极重灾区景观生态恢复影响因子分析[J]. 大众科技, 2012, 14(6):112−115.

    Li T T. The impact factors of landscape ecological restoration research of the severest disaster area of Wenchuan earthquake[J]. Popular Science & Technology, 2012, 14(6): 112−115.
    [17]
    李福根, 辛晓洲, 李小军. 地震灾区植被净初级生产力恢复效应评价[J]. 水土保持研究, 2017, 24(6):139−146.

    Li F G, Xin X Z, Li X J. Assessment of restoration of vegetation net primary productivity in earthquake disaster area[J]. Research of Soil and Water Conservation, 2017, 24(6): 139−146.
    [18]
    俞伟. 汶川地震灾区不同气候受损治理区土壤养分演变特征与肥力质量评价[D]. 福州: 福建农林大学, 2014.

    Yu W. The evolutionary characteristics of the soil nutrients and fertility quality evaluation in Wenchuan earthquake areas of different climate zones[D]. Fuzhou: Fujian Agriculture and Forestry University, 2014.
    [19]
    陈爱民, 严思维, 林勇明, 等. 地震灾区生态治理初期土壤抗蚀性特征: 以汶川地震典型区为例[J]. 山地学报, 2018, 36(1):74−82.

    Chen A M, Yan S W, Lin Y M, et al. Characteristics of soil anti-erodibility at the initial stage of ecological restoration in the earthquake affected regions: a case study in Wenchuan, China[J]. Mountain Research, 2018, 36(1): 74−82.
    [20]
    国家林业局. 森林木本植物功能性状测定方法: 中华人民共和国林业行业标准: LY/T2812—2017[S]. 北京: 中国标准出版社, 2017.

    The State Forestry Bureau. Methodology for functional traits measurement of woody plants in forests: the forestry industry standard of the People’s Republic of China: LY/T2812−2017[S]. Beijing: China Standard Press, 2017.
    [21]
    贺静雯, 刘颖, 吴建召, 等. 震区生态恢复初期土壤养分含量与微生物生物量特征的关系[J]. 应用与环境生物学报, 2019, 25(5):1044−1052.

    He J W, Liu Y, Wu J Z, et al. Relationship between soil nutrient content and microbial biomass characteristics during an early ecological restoration stage in an earth quake affected area[J]. Chinese Journal of Applied & Environmental Biology, 2019, 25(5): 1044−1052.
    [22]
    赵丽, 朱永明, 付梅臣, 等. 主成分分析法和熵值法在农村居民点集约利用评价中的比较[J]. 农业工程学报, 2012, 28(7):235−242.

    Zhao L, Zhu Y M, Fu M C, et al. Comparative study on intensive use of rural residential land based on principal component analysis and entropy[J]. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(7): 235−242.
    [23]
    颜惠琴, 牛万红, 韩惠丽. 基于主成分分析构建指标权重的客观赋权法[J]. 济南大学学报(自然科学版), 2017, 31(6):519−523.

    Yan H Q, Niu W H, Han H L. Objective weight method based on principal component analysis to establish index weight[J]. Journal of University of Jinan (Science and Technology), 2017, 31(6): 519−523.
    [24]
    杜虎, 彭晚霞, 宋同清, 等. 桂北喀斯特峰丛洼地植物群落特征及其与土壤的耦合关系[J]. 植物生态学报, 2013, 37(3):197−208. doi: 10.3724/SP.J.1258.2013.00020

    Du H, Peng W X, Song T Q, et al. Plant community characteristics and its coupling relationships with soil in depressions between karst hills, North Guangxi, China[J]. Chinese Journal of Plant Ecology, 2013, 37(3): 197−208. doi: 10.3724/SP.J.1258.2013.00020
    [25]
    Lin W T, Chou W C, Lin Y C. Vegetation recovery monitoring and assessment at landslides caused by earthquake in Central Taiwan[J]. Forest Ecology and Management, 2005, 210(1): 55−66.
    [26]
    孟莹莹, 周莉, 周旺明, 等. 长白山风倒区植被恢复26年后物种多样性变化特征[J]. 生态学报, 2015, 35(1):142−149.

    Meng Y Y, Zhou L, Zhou W M, et al. Characteristics of plant species diversity in a windthrow area on Changbai Mountain after 26 years of natural recovery[J]. Acta Ecologica Sinica, 2015, 35(1): 142−149.
    [27]
    简尊吉, 马凡强, 郭泉水, 等. 三峡水库峡谷地貌区消落带优势植物种群生态位[J]. 生态学杂志, 2017, 36(2):328−334.

    Jian Z J, Ma F Q, Guo Q S, et al. Niche of dominant plant populations in the water level fluctuation zone of canyon landform area of the Three Gorges Reservoir[J]. Chinese Journal of Ecology, 2017, 36(2): 328−334.
    [28]
    董丽娜, 罗文林, 韩凤鹏, 等. 植被恢复过程中土壤养分的变化[J]. 安徽农业科学, 2008, 36(15):6407−6409. doi: 10.3969/j.issn.0517-6611.2008.15.112

    Dong L N, Luo W L, Han F P, et al. Influence of the vegetation restoration process on nutrient in Zhifanggou Watershed[J]. Journal of Anhui Agricultural Sciences, 2008, 36(15): 6407−6409. doi: 10.3969/j.issn.0517-6611.2008.15.112
    [29]
    袁仁茂, 张秉良, 徐锡伟, 等. 汶川地震北川−映秀断裂北段断层泥显微构造和黏土矿物特征及其意义[J]. 地震地质, 2013, 35(4):685−700.

    Yuan R M, Zhang B L, Xu X W, et al. Microstructural features and mineralogy of clay-rich fault gouge at the northern segment of the Yingxiu-Beichuan fault, China[J]. Seismology and Geology, 2013, 35(4): 685−700.
    [30]
    蒋婧, 宋明华. 植物与土壤微生物在调控生态系统养分循环中的作用[J]. 植物生态学报, 2010, 34(8):979−988.

    Jiang J, Song M H. Review of the roles of plants and soil microorganisms in regulating ecosystem nutrient cycling[J]. Chinese Journal of Plant Ecology, 2010, 34(8): 979−988.
    [31]
    温仲明, 焦峰, 赫晓慧, 等. 黄土高原森林边缘区退耕地植被自然恢复及其对土壤养分变化的影响[J]. 草业学报, 2007, 16(1):16−23.

    Wen Z M, Jiao F, He X H, et al. Spontaneous succession and its impact on soil nutrient on abandoned farmland in the northern edge of the forest zone on the Loess Plateau[J]. Acta Prataculturae Sinica, 2007, 16(1): 16−23.
    [32]
    Sul W J, Asuming-Brempong S, Wang Q, et al. Tropical agricultural land management influences on soil microbial communities through its effect on soil organic carbon[J]. Soil Biology and Biochemistry, 2013, 65(10): 33−38.
    [33]
    Grigulis K, Lavorel S, Krainer U, et al. Relative contributions of plant traits and soil microbial properties to mountain grassland ecosystem services[J]. Journal of Ecology, 2013, 101(1): 47−57. doi: 10.1111/1365-2745.12014
    [34]
    Bending G D, Turner M K, Jones J E. Interactions between crop residue and soil organic matter quality and the functional diversity of soil microbial communities[J]. Soil Biology and Biochemistry, 2002, 34(8): 1073−1082. doi: 10.1016/S0038-0717(02)00040-8
    [35]
    李君剑, 刘峰, 周小梅. 矿区植被恢复方式对土壤微生物和酶活性的影响[J]. 环境科学, 2015, 36(5):1836−1841.

    Li J J, Liu F, Zhou X M. Effects of different reclaimed scenarios on soil microbe and enzyme activities in mining areas[J]. Environmental Science, 2015, 36(5): 1836−1841.
    [36]
    张希彪, 上官周平. 黄土丘陵区主要林分生物量及营养元素生物循环特征[J]. 生态学报, 2005, 25(3):527−537. doi: 10.3321/j.issn:1000-0933.2005.03.021

    Zhang X B, Shangguan Z P. The bio-cycle patterns of nutrient elements and stand biomass in forest communities in hilly loess regions[J]. Acta Ecologica Sinica, 2005, 25(3): 527−537. doi: 10.3321/j.issn:1000-0933.2005.03.021
    [37]
    Tate K R. The biological transformation of P in soil[J]. Plant and Soil, 1984, 76(1−3): 245−256. doi: 10.1007/BF02205584
    [38]
    曾歆花, 张万军, 宋以刚, 等. 河北太行山低山丘陵区植被恢复过程中物种多样性与土壤养分变化[J]. 生态学杂志, 2013, 32(4):852−858.

    Zeng X H, Zhang W J, Song Y G, et al. Species diversity and soil nutrient dynamics along a chrono sequence of vegetation restoration in Taihang Mountains hilly region, Hebei Province of North China[J]. Chinese Journal of Ecology, 2013, 32(4): 852−858.
    [39]
    Wardle D A. A comparative assessment of factors which influence microbial biomass carbon and nitrogen levels in soil[J]. Biological Reviews, 1992, 67(3): 321−358. doi: 10.1111/j.1469-185X.1992.tb00728.x
    [40]
    Devi N B, Yadava P S. Seasonal dynamics in soil microbial biomass C, N and P in a mixed-oak forest ecosystem of Manipur, Northeast India[J]. Applied Soil Ecology, 2006, 31(3): 220−227. doi: 10.1016/j.apsoil.2005.05.005
    [41]
    Bowden R D, Nadelhoffer K J, Boone R D, et al. Contributions of aboveground litter, below ground litter, and root respiration to total soil respiration in a temperate mixed hardwood forest[J]. Canadian Journal of Forest Research, 2011, 23(7): 1402−1407.
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