Soil Erodibility K-Value of Semi-natural Forests in Northeast China

LI Xu; WANG Hai-yan; YANG Xiao-juan; LIU Ling; LI Wei-song; WANG Yue

doi:10.13961/j.cnki.stbctb.2014.04.016

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Soil Erodibility K-Value of Semi-natural Forests in Northeast China

- Soil Erodibility K-Value of Semi-natural Forests in Northeast China
- Bulletin of Soiland Water Conservation Vol. 33, Issue 4, Pages: 5-10(2014)
- 作者机构：
  
  1. 北京林业大学林学院,北京,100083
  2. 北京林业大学水土保持学院,北京,100083
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2014.04.016
  CLC：
- Published：2014
- 稿件说明：
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LI Xu, WANG Hai-yan, YANG Xiao-juan, et al. Soil Erodibility K-Value of Semi-natural Forests in Northeast China[J]. Bulletin of Soiland Water Conservation, 2014, 33(4): 5-10.
DOI：

LI Xu, WANG Hai-yan, YANG Xiao-juan, et al. Soil Erodibility K-Value of Semi-natural Forests in Northeast China[J]. Bulletin of Soiland Water Conservation, 2014, 33(4): 5-10. DOI： 10.13961/j.cnki.stbctb.2014.04.016.

摘要

基于吉林省汪清林业局所辖林场10块近天然林样地

采集0-20

20-40和40-60 cm土层土壤样品

对土样进行了粒径分析及养分测定。运用侵蚀-土地生产力影响评估模型(EPIC)对研究区土壤可蚀性因子K值进行了估算

分析讨论了K值的影响因素及其与土壤养分之间的相关性。结果表明

研究区内土壤可蚀性K值平均为0.060 7 t·hm

·h/(MJ·mm·hm

);0-20 cm深度的土壤可蚀性K值较20-60 cm土层土壤大

针阔混交林的K值比阔叶混交林的大;当林分密度小于1 200株/hm

郁闭度小于0.75时

K值随林分密度和郁闭度的增大而减小。K值与土壤养分的相关性由高到低依次为:全氮>速效钾>有效磷>全磷

除全氮外其他土壤养分均与K值呈负相关。最适林分密度为750~1 200株/hm

在该密度下各土壤养分含量状况较好且土壤抗蚀能力较高。

Abstract

The soil particle size distribution and soil nutrients contents in the soil depth of 0-20 cm

20-40 cm and 40-60 cm were analyzed

the soil sampling got from ten semi-natural forest plots in forest farms of Wangqing Forestry Bureau

Jilin Province. In addition

the soil erodibility K-value in this region was investigated with the formula calculation method of EPIC(erosion productivity impact calculator) and its affecting factors

the correlation between K-value and soil nutrients were discussed. The results indicated that the mean K-value was 0.060 7 t·hm2·h/(MJ·mm·hm2). The K-value at the soil depth of 0-20 cm was higher than that at 20-60 cm. Higher K-values were found in coniferous and broad-leaved mixed forest than broad-leaved mixed forest. The K-value decreased with increasing stand density and canopy density when stand density was less than 1 200 hm2 and canopy density less than 0.75. The correlations between K-value and soil nutrients were in a descending order of total nitrogen

readily available potassium

available phosphorus and total phosphorus in the study area. All soil nutrients were negatively correlated with K-value except total nitrogen. The optimal stand density was about 750~1 200 trees/hm2 with higher soil nutrient concentrations and soil anti-erodibility.

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references

张洪江.土壤侵蚀原理[M].北京:中国林业出版社,2000.

Middleton H E. Properties of Soils Which Influence Soil Erosion[M]. Aarebookclub, 2012.

Wischmeier W H. Use and misuse of the universal soil loss equation[J]. Soil and Water Conservation, 1976, 31(1):5-9.

Wischmeier W H, Johnson C B. A soil erodibility nomograph for farmland and conservation sites[J]. Journal of Soil and Water Conservation, 1971, 26(5):189-193.

Renard K G, Foster G R, Weesies G A, et al. Predicting soil erosion by water:A guide to conservation planning with the Revised Universal Soil Loss Equation(RUSSLE)[C]//Agricultural Handbook 703. Washington DC:USDA, 1997.

Laflen J M, Elliot W J, Simanton J R, et al. WEPP soil erodibility experiments for rangeland and cropland soils[J]. Journal of Soil and Water Conservation, 1991,46(1):39-44.

Williams J R, Jones C A, Dyke P T. A modeling approach to determining the relationship between erosion and soil productivity[J]. Trans. ASAE, 1984, 27(2):129-144.

Ogua B, Hicrettin C, Suat A, et al. Conditional simulation of USLE/RUSLE soil erodibility factor by geostatistics in a Mediterranean Catchment, Turkey[J].Environ Earth Sci., 2010,60(6):1179-1187.

Ali B. Estimation of soil losses by USLE model using GIS at Mashhad plain, Northeast of Iran[J]. Arabian Journal of Geosciences, 2012,15(11):47-57.

Jinchi Z, Donald D A, Jiayao Z. Theory and Practice of Soil Loss Control in Eastern China[M].New York:Springer, 2011:101-113.

Pavel Y G, Sergiy V I. Regional Aspects of Climate-Terrestrial-Hydrologic Interactions in Non-boreal Eastern Europe[M]. Netherlands:Springer, 2009:191-199.

王海燕,雷相东,张会儒,等.近天然落叶松云冷杉林土壤有机碳研究[J].北京林业大学学报,2009,31(3):11-16.

鲍士旦.土壤农化分析[M].北京:中国农业出版社,2010:14-110.

Neitsch S L, Arnold J G, Kiniry J R, et al. Soil and water assessment tool, theoretical documentation[M]. College Station:Texas Water Resources Institute, 2000.

高敏.三峡库区紫色土小流域土壤可蚀性

值研究[D].重庆:西南大学,2011.

王礼先.林业生态工程学[M].北京,中国林业出版社,2000.

邵方丽,余新晓,杨志坚,等.北京山区典型森林土壤的养分空间变异与环境因子的关系[J].应用基础与工程科学学报,2012,20(4):581-590.

朱立安,李定强,魏秀国,等.广东省土壤可蚀性现状及影响因素分析[J].亚热带水土保持,2007,19(4):4-7.

岑奕,丁文峰,张平仓.华中地区土壤可蚀性因子研究[J].长江科学院院报,2011,28(10):66-68.

张明礼,杨浩,邹军,等.北方土石山区土壤侵蚀对土壤质量的影响[J].水土保持学报,2011,25(4):218-221.

金雁海,柴建华,朱智红.内蒙古黄土丘陵区次降雨条件下坡面土壤侵蚀影响因子研究[J].水土保持研究,2006,13(6):192-194.

朱明勇,谭淑端,顾胜,等.湖北丹江口水库库区小流域土壤可蚀性特征[J].土壤通报,2010,41(2):434-436.

周璟,张旭东,何丹,等.小流域土壤可蚀性的空间变异及其在不同土地类型下的比较[J].土壤通报,2011,42(3):715-720.

刘玲,王海燕,杨晓娟,等.不同密度长白落叶松天然林土壤有机碳及养分特征[J].东北林业大学,2013,41(2):51-55.

孙向阳.土壤学[M].北京:中国林业出版社,2005.

刘旦旦,王健,尹武君.天然降雨对黄土坡地土壤侵蚀和养分流失的影响[J].节水灌溉,2011(8):17-24.

贾宏文.降雨与土壤养分流失关系分析[J].水土保持应用技术,2007(1):21-23.

张燕,张洪,彭补拙,等.不同土地利用方式下农地土壤侵蚀与养分流失[J].水土保持通报,2003,23(2):23-26.

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