黄土高原-青藏高原过渡带小流域立地类型划分及植被优化配置

doi:10.16843/j.sswc.2020.02.004

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Abstract [Background] The Loess Plateau-Tibet Plateau transition zone is the most vulnerable and fastest-changing region in the world ecological environment. The local land degradation is serious, and the plantations after returning farmland to forest generally have a single stand and an excessive density. How to optimize vegetation within a small watershed, and how to optimize vegetation has become an essential issue. The purpose of this article is to explore the division of site types in the transition zone and the vegetation optimization models under each site type.[Methods] This study focused on the small watershed of Anmen Beach. Forty typical sample plots were selected in the watershed. The slope and slope of each plot were measured using a handheld compass, and the longitude, latitude, and altitude of each plot were determined using handheld GPS. The vegetation types of each plot were recorded. After digging the soil profile in each site, the original soil samples were taken in layers using a ring knife with a volume of 100 cm³. Each sample was repeated three times. The soil bulk density and moisture were obtained by drying. Factors such as altitude, slope, aspect, slope position, soil bulk density, soil moisture, and vegetation type were summarized as indexes for 40 sample plots. Cluster analysis was used to summarize and classify plots in small watersheds to obtain site type classification. Principal component analysis was used to obtain the variance contribution of the main factors and determine the dominant factors.[Results] 1) When the clustering coefficient is 6 and the number of categories is 5, the clustering coefficient curve becomes noticeably slower, and 40 plots are divided into 5 categories:Low altitude sunny and gentle slope site (T1), low altitude shady and steep slope site (T2), low altitude shady slope site (T3), medium altitude shady and gentle slope site (T4), and high altitude shade and steep slope (T5). 2) The first three principal components by the principal component analysis have synthesized 68.484% of all the information. The three principal component principal factors are altitude, slope, and aspect, and the coefficients are -0.687, 0.696, and 0.744, respectively. And we speculate that soil moisture is a potential dominant factor affecting site type division.[Conculsions] In site type (T1), the pure forest of Pinus tabuliformis and Juniperus przewalskii should be optimized as mixed forest by adding Caragana korshinskii and other shrubs. Site type (T2) mixed forest of Populus cathayana and Larix principis-rupprechtii should be selectively cut and Picea crassifolia seedlings should be replanted. In the site types (T2 and T3), the pure forests of L. principis-rupprechtii and Betula platyphylla in North China should be subjected to proper thinning, followed by P. crassifolia replacement to accelerate the natural succession. Site type (T3 and T4) should be in appropriate thinning P. crassifolia pure forest to expand the forest window.

Key words： site type cluster analysis principal component analysis vegetation optimization

Received: 01 February 2020

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S157

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	ZHANG Peng
	WANG Dongmei
	HE Kangning
	LI Ping

Cite this article:

ZHANG Peng,WANG Dongmei,HE Kangning, et al. Site type division and optimal vegetation allocation in small watershed in the Loess Plateau-Tibetan Plateau transition zone[J]. SSWC, 2020, 18(2): 26-35.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2020.02.004 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2020/V18/I2/26

[1]	何明月,高甲荣,张金瑞.潮关西沟生态经济型防护林立地类型的划分[J].水土保持研究,2008,15(5):158. HE Mingyue,GAO Jiarong,ZHANG Jinrui. Site type classification of eco-economic shelter forest in Chaoguan west ditch[J]. Research of Soil and Water Conservation,2008,15(5):158.
[2]	于德水.速生丰产林设计中立地类型调查、分类及质量评价[J].中南林业调查规划,1987(1):20. YU Deshui. Investigation, classification and quality evaluation of neutral types in fast-growing and high-yield forest design[J]. Central South Forestry Inventory and Planning, 1987(1):20
[3]	王亚蕊. 基于土壤水分植被承载力的叠叠沟小流域植被优化配置[D].北京:中国林业科学研究院,2016:15. WANG Yarui. Optimal disposition of vegetations based on soil water carrying capacity in Diediegou catchment[D]. Beijing:Chinese Academy of Forestry, 2016:15.
[4]	吴超超,高小叶,侯扶江.黄土高原-青藏高原过渡带农户生产系统的碳平衡[J].应用生态学报,2017,28(10):3341. WU Chaochao, GAO Xiaoye, HOU Fujiang. Carbon balance of household production system in the transition zone from the Loess Plateau to the Qinghai-Tibet Plateau, China[J]. Chinese Journal of Applied Ecology, 2017, 28(10):3341.
[5]	张甍. 太岳山针阔混交林不同海拔空间格局研究[D].山西临汾:山西师范大学,2017:1. ZHANG Meng. Study on the spatial pattern of coniferous and broad-leaved mixed forest at different altitude in Taiyue mountain[D]. Linfeng, Shanxi:Shanxi Normal University, 2017:1.
[6]	张娅娅,刘旻霞,李博文,等.不同海拔矮嵩草与火绒草种群分布格局及空间关联性[J].生态学杂志:2020:6. ZHANG Yaya, LIU Minxia, LI Bowen, et al. Population distribution pattern and spatial correlation of Kobresia humilis and Leontopodiun nanum at different elevations[J]. Chinese Journal of Ecology:2020,39(2):7.
[7]	尤海舟,刘兴良,缪宁,等.川滇高山栎种群不同海拔空间格局的尺度效应及个体间空间关联[J].生态学报,2010,30(15):4004. YOU Haizhou, LIU Xingliang, MIAO Ning, et al. Individual association and scale effect of spatial pattern of Quercus aquifolioides populations along the elevation gradients[J]. Acta Ecologica Sinica, 2010, 30(15):4004.
[8]	赵策,田军仓,欧阳赞,等.土壤水肥气热耦合对温室辣椒光合作用和产量的影响[J].灌溉排水学报,2019,38(5):31. ZHAO Ce, TIAN Juncang, OUYANG Zan, et al. Impact of water-fertilizer-air-heat coupling on photosynthetic and yield of pepper in greenhouse[J]. Journal of Irrigation and Drainage, 2019, 38(5):31.
[9]	王移,卫伟,杨兴中,等.我国土壤动物与土壤环境要素相互关系研究进展[J].应用生态学报,2010,21(9):2441. WANG Yi, WEI Wei, YANG Xingzhong, et al. Interrelationships between soil fauna and soil environmental factors in China:Research advance[J]. Chinese Journal of Applied Ecology, 2010, 21(9):2441.
[10]	ZINGG A W. Degree and length of land slope as it affects soil loss in runoff[J].Agricultural Engineering,1940,21(2):9.
[11]	徐志尧,张钦弟,杨磊.半干旱黄土丘陵区土壤水分生长季动态分析[J].干旱区资源与环境,2018,32(3):145. XU Zhiyao, ZHANG Qindi, YANG Lei. Analysis of temporal variation of soil water in a growing season in semi-arid loess hilly area[J]. Journal of Arid Land Resources and Environment, 2018,32(3):145.
[12]	张春梅.延河流域人工与自然植被生物量及其土壤水分效应比较研究[D].陕西杨凌:西北农林科技大学,2011:12. ZHANG Chunmei. Biomass and comparisons of its effect on soil water content between artificial and natural wegetation in Yanhe river catchment[D]. Yangling,Shaanxi:Northwest A & F University, 2011:12.
[13]	张钦弟,卫伟,陈利顶,等.黄土高原草地土壤水分和物种多样性沿降水梯度的分布格局[J].自然资源学报,2018,33(8):1356. ZHANG Qindi, WEI Wei, CHEN Liding, et al. Spatial variation of soil moisture and species diversity patterns along a precipitation gradient in the grasslands of the Loess Plateau[J].Journal of Natural Resources, 2018,33(8):1356.
[14]	刘鹏,蒋忠诚,蓝芙宁,等.土地利用对溶丘洼地土壤容重、水分和有机质空间异质性的影响:以南洞流域驻马哨洼地为例[J].中国岩溶,2019,38(1):100. LIU Peng, JIANG Zhongcheng, LAN Funing, et al. Effects of land use on spatial heterogeneity of soil bulk density, moisture and organic material in karst hilly depressions:An example of the Zhumashao depression of Nandong watershed[J]. Carsologica Sinica, 2019, 38(1):100.
[15]	张川,陈洪松,张伟,等.喀斯特坡面表层土壤含水量、容重和饱和导水率的空间变异特征[J].应用生态学报,2014,25(6):1585. ZHANG Chuan, CHEN Hongsong, ZHANG Wei, et al. Spatial variability of soil moisture content, spatial variation characteristics of surface soil water content, bulk density and saturated hydraulic conductivity on karst slopes[J]. Journal of Applied Ecology, 2014, 25(6):1585.
[16]	任远,王冬梅,信忠保.漓江流域水陆交错带植被配置型式分类及生态特征[J].生态学报,2014,34(15):4425. REN Yuan, WANG Dongmei, XIN Zhongbao. Classification and ecological characteristics analysis of vegetation arrangement type in land-water ecotone of Li River[J]. Acta Ecologica Sinica, 2014, 34(15):4425.
[17]	FU X L, SHAO M A, WEI X R, et al. Soil organic carbon and total nitrogen as affected by vegetation types in northern Loess Plateau of China[J].Geoderma, 2010, 155(1/2):31.
[18]	彭文英,张科利,陈瑶,等.黄土坡耕地退耕还林后土壤性质变化研究[J].自然资源学报, 2005, 20(2):272. PENG Wenying, ZHANG Keli, CHEN Yao, et al. Research on soil quality change after returning farmland to forest on the loess sloping croplands[J]. Journal of Natural Resources, 2005, 20(2):272.
[19]	薛萐,刘国彬,戴全厚,等.不同植被恢复模式对黄土丘陵区侵蚀土壤微生物量的影响[J].自然资源学报, 2007, 22(1):20. XUE Sha, LIU Guobin, DAI Quanhou, et al. Effect of different vegetation restoration models on soil microbial biomass in eroded hilly Loess Plateau[J]. Journal of Natural Resources, 2007, 22(1):20.
[20]	李平,王冬梅,丁聪,等.黄土高寒区典型植被类型土壤入渗特征及其影响因素[J].生态学报,2020(5):1. LI Ping, Wang Dongmei, Ding Cong, et al. Soil infiltration characteristics and influencing factors of typical vegetation types in Loess Alpine region[J]. Acta Ecologica Sinica, 2020(5):1.
[21]	林莎,王莉,李远航,等.青藏高原东北缘黄土区典型立地人工林分土壤水分特性研究[J].生态学报,2019,39(18):6616. LIN Sha, WANG Li, LI Yuanhang, et al. Soil moisture characteristics of typical artificial plantations in the loess area of the northeastern Tibet Plateau[J].Acta Ecologica Sinica, 2019,39(18):6616.
[22]	芦新建.大通县水源涵养林类型及其功能评价研究[D]. 北京:北京林业大学, 2015:68. LU Xinjian. Study on the water conservation forest and its function assessment in Datong county[D]. Beijing:Beijing Forestry University, 2015:68.
[23]	朱柱,杨海龙,黄乾,等.青海高寒黄土区典型水源涵养林健康评价[J].浙江农林大学学报,2019,36(6):1168. ZHUZhu, YANG Hailong, HUANG Qian, et al. Health evaluation of typical water conservation forests in the alpine loess area of Qinghai[J]. Journal of Zhejiang Agriculture and Forestry University,2019,36(6):1168.
[24]	林莎,贺康宁,王莉,等.基于地统计学的黄土高寒区典型林地土壤水分盈亏状况研究[J].生态学报,2020(02):1. LIN Sha, HE Kangning, WANG Li, et al. Soil moisture surplus and loss of typical forestland in loess alpine area by the geostatistical analyst method[J]. Acta Ecologica Sinica, 2020(02):1.
[25]	刘殿君. 赤峰市敖汉旗小流域防护林空间对位配置研究[D].呼和浩特:内蒙古农业大学, 2009:18. LIU Dianjun. Study on spatial and para position allocation for protection forest in small watershed in Ao HanQI,Chifeng city[D]. Hohhot:Inner Mongolia Agricultural University, 2009:18.