1. 西北农林科技大学 水土保持研究所 黄土高原土壤侵蚀与旱地农业 国家重点实验室, 陕西 杨凌,712100
2. 中国科学院 水利部 水土保持研究所, 陕西 杨凌,712100
纸质出版:2023
移动端阅览
王浩嘉, 张晓萍, 许小明, 等. 子午岭地区近150年演替序列下植被群落组成与结构变化[J]. 水土保持通报, 2023,43(2):119-128.
Wang Haojia, Zhang Xiaoping, Xu Xiaoming, et al. Changes in Species Composition and Structure During Vegetation Community Succession in Ziwuling Forest Area[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 119-128.
王浩嘉, 张晓萍, 许小明, 等. 子午岭地区近150年演替序列下植被群落组成与结构变化[J]. 水土保持通报, 2023,43(2):119-128. DOI: 10.13961/j.cnki.stbctb.2023.02.015.
Wang Haojia, Zhang Xiaoping, Xu Xiaoming, et al. Changes in Species Composition and Structure During Vegetation Community Succession in Ziwuling Forest Area[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 119-128. DOI: 10.13961/j.cnki.stbctb.2023.02.015.
[目的
]
研究自然恢复条件下植物群落组成与垂直结构变化,为黄土高原的植被建设与高质量发展提供理论依据。 [方法
]
以空间代时间的方法,调查分析子午岭地区从弃耕到顶级群落植被的物种组成、多样性特征;并构建反映群落垂直结构特征的指数,研究其变化趋势。 [结果
]
①该地区共观察到植被种类42科98属115种,其中8个演替序列中有32科77属88种。 ②演替中群落总体的物种多样性和丰富度均呈显著增加趋势,演替初期两指数值分别为0.901与1.702,演替末期则为1.998与2.665,且在中期均表现出单峰突增态势,而均匀度变化不明显。 ③演替中,乔木各指标有增加趋势;乔木胸径初期为12.13 cm,末期增加至22.19 cm,冠幅由11.64 m
2
增加至41.54 m
2
,乔木生物量由54.07 t/hm
2
增加至175.13 t/hm
2
;而灌木各指标变化不显著,灌木生物量在演替中期呈现显著峰值,最高为9.56 t/hm
2
,但在随后的演替过程中呈迅速波动下降态势,演替末期生物量仅为1.82 t/hm
2
。由灌木群落演替至乔木群落时,枯落物层的厚度显著增加,而盖度在各演替阶段间无显著性差异。 ④演替初期的综合垂直结构指数较低且相近,为0.086~0.104,演替中期迅速增加至0.349,在演替接近末期时达到最大值0.477。林下植被垂直结构指数在演替中期最高(0.342),演替末期降低并趋于稳定(0.195~0.246)。 [结论
]
随着自然演替,群落物种多样性和丰富度均得到显著提升,群落总体垂直结构向复杂化发展,林下垂直结构则在演替后期呈现退化。
[Objective] The changes in plant community composition and vertical structure under natural restoration were studied in order to provide a reference for vegetation construction and high-quality development of the Loess Plateau. [Methods] Using the method of space instead of time
species composition and diversity characteristics of vegetation from abandoned cropland to top community in the Ziwuling forest area were investigated and analyzed. A vegetation vertical structure index was constructed to study the vertical structure of the vegetation community and its changing trend in the succession sequence. [Results] ① A total of 115 species of vegetation in 42 families
98 genera
and 115 species appeared in the Ziwuling forest zrea
and a total of 32 families
77 genera
and 88 species of vegetation appeared in the succession sequence. ② In succession
the species diversity index and richness index of the community showed a significant increasing trend
The diversity and richness index values were 0.901 and 1.702 at the beginning of the succession
and 1.998 and 2.665 at the end of the succession. The middle stage showed a unimodal trend
and the two indices were 2.21 and 3.05. The evenness index did not change significantly. ③ During the succession process
each tree factor showed an increasing trend. The DBH was 12.13 cm at the initial stage of succession and increased to 22.19 cm at the end; the crown width increased from 11.64 m2 to 41.54 m2; and the tree biomass increased from 54.07 t/hm2 to 175.13 t/hm2. However
the indicators of shrubs did not change significantly during the succession process. Shrub biomass showed significant peaks in the middle of succession (highest value of 9.56 t/hm2)
but showed a rapid fluctuation and declining trend in the subsequent succession process. At the end of succession
shrub biomass was only 1.82 t/hm2. The thickness of the litter layer increased significantly when the shrub community was succeeded by the tree community
but the litter coverage was not significantly different between the succession stages. ④ The overall vertical structure index in the early stage of succession was low and similar
ranging from 0.086 to 0.104
and rapidly increased to 0.349 in the middle stage of succession
reaching a maximum value of 0.477 near the end of the succession. The vertical structure index of understory vegetation was highest in the middle of the succession (0.342)
thereafter decreasing and tending to be stable at the end of succession (0.195~0.246). [Conclusion] With natural succession
species diversity and community richness significantly improved
and a single peak appeared in the middle of the succession. The overall vertical structure of the community became more complex
and the vertical structure of understory vegetation degraded during late succession.
Fu Bojie, Liu Yu, Lv Yihe, et al. Assessing the soil erosion control service of ecosystems change in the Loess Plateau of China[J]. Ecological Complexity, 2011,4(8):284-293.
刘国彬,上官周平,姚文艺,等.黄土高原生态工程的生态成效[J].中国科学院院刊,2017,32(1):11-19.
Zhang Shuilei, Yang Dawen, Yang Yuting, et al. Excessive afforestation and soil drying on China’s Loess Plateau [J]. Journal of Geophysical Research. Biogeosciences, 2018, 123(3): 923-935.
Chen Shiping, Wang Wantong, Xu Wenting, et al. Plant diversity enhances productivity and soil carbon storage [J]. Proceedings of the National Academy of Sciences of the United States of America, 2018,115(16):4027-4032.
胡婵娟,郭雷.植被恢复的生态效应研究进展[J].生态环境学报,2012,21(9):1640-1646.
赵文启,刘宇,罗明良,等.黄土高原小流域植被恢复的土壤侵蚀效应评估[J].水土保持学报,2016,30(5):89-94.
朱青,周自翔,刘婷,等.黄土高原植被恢复与生态系统土壤保持服务价值增益研究:以延河流域为例[J].生态学报,2021,41(7):2557-2570.
张琨,吕一河,傅伯杰.黄土高原典型区植被恢复及其对生态系统服务的影响[J].生态与农村环境学报,2017,33(1):23-31.
Zhao Guangju, Mu Xingmin, Wen Zhongming, et al. Soil erosion, conservation, and eco-environment changes in the Loess Plateau of China [J]. Land Degradation & Development, 2013,24(5):499-510.
赵广举,穆兴民,田鹏,等.黄土高原植被变化与恢复潜力预测[J].水土保持学报,2021,35(1):205-212.
朱显谟.黄土地区植被因素对于水土流失的影响[J].土壤学报,1960,8(2):110-121.
刘向东,吴钦孝,赵鸿雁.森林植被垂直截留作用与水土保持[J].水土保持研究,1994,1(3):8-13.
王晗生,刘国彬.植被结构及其防止土壤侵蚀作用分析[J].干旱区资源与环境,1999,13(2):63-69.
Wen Zhongming, Lees B G, Jiao Feng, et al. Stratified vegetation cover index: A new way to assess vegetation impact on soil erosion [J]. Catena, 2010,83(1):87-93.
余新晓,王彦辉,王玉杰,等.中国典型区域森林生态水文过程与机制[M].北京:科学出版社,2014.
张颖.黄土地区森林植被对坡面土壤侵蚀过程影响机理研究[D].北京:北京林业大学,2007.
吴钦孝,赵鸿雁,刘向东,等.森林枯枝落叶层涵养水源保持水土的作用评价[J].土壤侵蚀与水土保持学报,1998,2(2):24-29.
许小明,邹亚东,孙景梅,等.黄土高原北洛河流域林地枯落物特征及水分吸持效应[J].生态学报,2021,41(13):5153-5165.
寇萌,焦菊英.黄土丘陵沟壑区抵抗土壤侵蚀的植物群落结构特征[J].水土保持研究,2018,25(6):7-14.
赵其国.我国南方当前水土流失与生态安全中值得重视的问题[J].水土保持通报,2006,26(2):1-8.
曹建军.林下水蚀区侵蚀过程与植被恢复度多角度遥感监测研究[D].上海:华东师范大学,2014.
张海东,于东升,董林林,等.侵蚀红壤恢复区植被垂直结构对土壤恢复特征的影响[J].土壤,2014,46(6):1142-1148.
雷婉宁,温仲明.基于植物群落结构的水土流失植被因子指数研究[J].水土保持学报,2008,22(5):68-72.
李裕元,邵明安.子午岭植被自然恢复过程中植物多样性的变化[J].生态学报,2004,24(2):252-260.
王凯博,陈美玲,秦娟,等.子午岭植被自然演替中植物多样性变化及其与土壤理化性质的关系[J].西北植物学报,2007,27(10):2089-2096.
安丽娟,朱志红,王孝安,等.子午岭马栏林区主要森林群落的稳定性分析[J].西北植物学报,2007,27(5):1000-1007.
何志华,朱岩峰,邱雅林,等.不同人为干预方式对子午岭植物群落组成及多样性的影响[J].西北林学院学报,2017,32(6):87-95.
范玮熠,王孝安,郭华.黄土高原子午岭植物群落演替系列分析[J].生态学报,2006,26(3):706-714.
邹厚远,刘国彬,王晗生.子午岭林区北部近50年植被的变化发展[J].西北植物学报,2002,22(1):1-8.
张平仓,郑粉莉.子午岭地区自然区域特征及其与土壤侵蚀的关系[J].中国科学院水利部西北水土保持研究所集刊(土壤侵蚀与生态环境演变研究论文集),1993(1):11-16.
邱莉萍,张兴昌.子午岭不同土地利用方式对土壤性质的影响[J].自然资源学报,2006,21(6):965-972.
王娟,陈云明,曹扬,等.子午岭辽东栎林不同组分碳含量与碳储量[J].生态学杂志,2012,31(12):3058-3063.
刘迎春,王秋凤,于贵瑞,等.黄土丘陵区两种主要退耕还林树种生态系统碳储量和固碳潜力[J].生态学报,2011,31(15):4277-4286.
黄劲松,邸雪颖.帽儿山地区6种灌木地上生物量估算模型[J].东北林业大学学报,2011,39(5):54-57.
刘彦春.川西亚高山主要森林类型恢复过程中地上生物量、生产力变化研究[D].北京:中国林业科学研究院,2010.
仇瑶,常顺利,张毓涛,等.天山林区6种灌木生物量的建模及其器官分配的适应性[J].生态学报,2015,35(23):7842-7851.
李刚,赵祥,刘碧荣.晋北4种灌木地上生物量预测模型的构建[J].林业资源管理,2014(1):71-76.
范玮熠.子午岭森林群落特征及主要建群种更新机制[D].陕西 西安:陕西师范大学,2014.
胡建忠,郑佳丽,张春霞.黄河上游退耕地植被组成、结构及水保功能评价[J].中国水土保持科学,2005,3(2):42-50.
耿冰瑾,王舒菲,曹银贵,等.山西平朔露天矿区不同年限复垦地植被重建特征对比分析[J].生态学报,2022,42(8):3400-3419.
程红梅,田锴,田兴军.大蜀山孤岛状山体植被演替阶段物种多样性变化规律[J].生态学杂志,2015,34(7):1830-1837.
宋变兰.黄土丘陵区两典型森林生态系统生物量、碳氮库和碳固存特征研究[D].北京:中国科学院研究生院(教育部水土保持与生态环境研究中心),2015.
杨晓梅,程积民,孟蕾,等.黄土高原子午岭森林碳储量与碳密度研究[J].水土保持学报,2010,24(6):123-126,131.
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.
王乃江.陕西黄土高原黄龙林区森林经营及恢复机理研究[D].陕西 杨凌:西北农林科技大学,2008.
薛立,杨鹏.森林生物量研究综述[J].福建林学院学报,2004,24(3):283-288.
何艺玲,傅懋毅.人工林林下植被的研究现状[J].林业科学研究,2002(6):727-733.
王世雄,王孝安,李国庆,等.陕西子午岭植物群落演替过程中物种多样性变化与环境解释[J].生态学报,2010,30(6):1638-1647.
Rothery E, Ford D, Cannell M G R. Competition within stands of
Picea sitchensis
and
Pinus contorta
. Annals of Botany, 1984, 53(3): 349-362.
王建国,樊军,王全九,等.黄土高原水蚀风蚀交错区植被地上生物量及其影响因素[J].应用生态学报,2011,22(3):556-564.
Prakash R, Vineeta, Gopal S, et al. Carbon storage of single tree and mixed tree dominant species stands in a reserve forest: Case study of the Eastern Sub-Himalayan Region of India[J]. Land, 2021,10(4):1-17.
白雪娟,曾全超,安韶山,等.子午岭人工林土壤微生物生物量及酶活性[J].应用生态学报,2018,29(8):2695-2704.
Arshad Ali, Yan E R, Scott X, et al. Community-weighted mean of leaf traits and divergence of wood traits predict aboveground biomass in secondary subtropical forests [J].Science of the Total Environment,2017, 574: 654-662.
许小明,田起隆,孙景梅,等.子午岭地区植被演替的土壤碳汇效应[J].水土保持学报,2022,36(3):159-165.
潘英杰,何志瑞,刘玉林,等.黄土高原天然次生林植被演替过程中土壤团聚体有机碳动态变化[J].生态学报,2021,41(13):5195-5203.
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