蜀南竹海核心景区毛竹林土壤肥力质量指标与评价
[Abstract]:Soil fertility is the comprehensive performance of soil chemical, physical and biological characteristics. In essence, it really represents soil quality, indicating that the soil fertility is directly related to the growth of plants. Bamboo is the largest and most widely distributed important economic bamboo species in the country, which plays an important role in ecological construction and economic development. For reasons such as natural and natural, the ecological system of bamboo forest did not reach the ideal growth and productivity state, especially the quality of soil fertility deteriorated, which had an impact on the normal growth of bamboo. In the study of many soil fertility quality, there were few studies on the soil fertility quality of Mao Zhulin. Therefore, the soil fertility quality of the bamboo forest was studied. It is of great significance for Mao Zhulin to carry out a comprehensive analysis and study to provide theoretical basis and method support for the sustainable management of Mao Zhulin and to enhance the function of ecological service. Taking the soil of Mao bamboo forest in the Bamboo Sea core scenic area of Yibin city of Sichuan Province as the research object, taking the map as the base map, according to the point of the kilometer grid, the equal distance is adopted. 21 indexes such as bulk density, organic matter and acid phosphatase were selected as evaluation indexes of soil fertility quality, and soil fertility quality indexes were screened by principal component analysis, and the index system of soil fertility quality evaluation was constructed by principal component analysis. The soil fertility quality indexes were analyzed by classical statistical method and ground statistics method. Krigiging insert was used in the analysis of soil fertility quality index. The spatial distribution map of soil fertility quality evaluation index was plotted. The spatial distribution pattern of soil fertility quality was plotted. The anastomosis of bamboo growth and soil fertility quality grade was analyzed, and the ecological measurement characteristics of C, N and P nutrient elements in bamboo forest were analyzed. The corresponding measures and countermeasures were put forward. The following main research results were obtained. (1) The principal component analysis showed that the cumulative contribution rate of the first 6 principal components in the 0-20cm and 20-40cm soil layers was 81.986% and 81.429%, and organic matter, available potassium, effective phosphorus, bulk density, the maximum water capacity, the minimum water holding capacity, the total porosity, acid phosphatase, and other 8 evaluation indexes had the greatest contribution to the soil fertility quality, which was relative to the relative soil fertility quality. The key factor of independence can be used as the evaluation index system of soil fertility quality in the study area. (2) statistical analysis shows that the content of organic matter decreases with the increase of soil depth, and the content of available potassium in 20-40cm soil layer is slightly higher than that of 0-20cm soil layer, and the content of effective phosphorus is not more than 2.3mg/kg in the average average of the two layer, and it is effective in the soil of the whole study area. The bulk density increases with the increase of soil depth, and the total porosity of soil is 59.30% and 57.13% in different soil layers, and the permeability of soil is better, it is beneficial to the growth of Phyllostachys pubescens, but the permeability decreases slightly with the increase of soil depth, the maximum water holding capacity is 66.89% and 60.1%, and the minimum water holding range is 48.64%. And 44.73%, the average value of acid phosphatase 0-20cm and 20-40cm soil layer is 0.17mg*g-1*h-1, and the change range is small, the soil enzyme activity is more stable. (3) through normal distribution test, the indexes are basically normal distribution. In different soil layers, the evaluation indexes are positive and negative, and the acid phosphatase in the 20-40cm soil layer is not satisfied with the statistical analysis Assuming conditions, the Pw values of the other indexes are more than 0.05 after inspection or transformation. (4) the analysis of semi variance and spatial variability shows that the same evaluation index is basically consistent with the theoretical semi variance function model in different soil layers, and the best fitting of the exponential model for quick acting potassium, the bulk density, the minimum water holding capacity, the organic matter and the effective phosphorus are high. The best fit is to fit the maximum water holding capacity in 0-20cm. The Gauss model is fitted in the 20-40cm model, the total porosity is fitted to the Gauss model in 0-20cm soil layer, and the acid phosphatase is fitted with the Gauss model in the 20-40cm soil layer index model; the weight, the organic matter fit well, and the acid phosphatase is 0-20c The m soil layer model has better fitting degree, the maximum water holding capacity, the minimum water holding capacity and other indexes have large random variability. The organic matter, the available potassium and the total porosity have large structural spatial variation in different soil layers, the maximum water holding capacity, the minimum water holding capacity, the total porosity have weak spatial autocorrelation, the organic matter and the effective phosphorus are in different soil. The layer and acid phosphatase have strong spatial autocorrelation in the 0-20cm soil layer, the bulk density is medium variation in the two soil layers, the available potassium in the 0-20cm soil layer is the medium spatial autocorrelation, while the 20-40cm layer is strong spatial autocorrelation in the soil layer, and the change range is larger than the 1000m space between the 1042-1687m, and satisfies the Krigi. Ng interpolation requirements. (5) the spatial distribution of each evaluation index in different soil layers is distributed in a plaque like distribution, showing a low East high, the content of the fertility factors in the center or the north is higher than the surrounding area, and the central to the East is higher. (6) the soil fertility quality of the study area is divided into five grades. In general, the largest area of the two grade is the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second, the second In the three, four, and five level.0-20cm soil layers, the first and two higher fertility regions are distributed in the middle and northern regions, and the three and three level areas are distributed from the middle to the East and the West; in the 20-40cm soil layer, the first grade, and the higher fertility regions of the two grade are distributed in the middle and northeast regions, and three and three. The area below is mainly distributed in the western and southeastern parts. (7) the soil fertility quality is high, the bamboo diameter of bamboo is thicker, the proportion of I degree bamboo and II degree bamboo in the bamboo age structure is larger, the III degree bamboo occupies relatively small, the quantity of bamboo shoots is large, the number of standing bamboo is large, the soil fertility quality is low, the diameter of bamboo's chest is reduced, the proportion of I degree bamboo and the second degree bamboo in the bamboo age structure is small, and III The amount of bamboo shoots is small, the amount of bamboo shoots is small, the new bamboo is less and the number of standing bamboo is few. (8) the Soil Eco chemical measurement characteristics of the study area are closely related to the soil fertility grade. The ratio of the eco stoichiometry of 0-20cm and 20-40cm soil layer decreases with the decrease of the soil fertility quality grade in general, and the ratio changes in the individual fertility quality grade; C, N content is relatively high, P element content is generally not high, C, N, P element content change regularity is relatively stable and has internal stability. (9) geographical conditions, climatic characteristics, soil parent material and other natural factors as well as human activities interference are the main reasons for the spatial variation of soil fertility quality grade in the study area. Fill the phosphate fertilizer, adjust the stand structure, control the number of tourists, plan tourist routes and regional attractions.
【学位授予单位】:四川农业大学
【学位级别】:博士
【学位授予年份】:2015
【分类号】:S795;S714
【相似文献】
相关期刊论文 前10条
1 刘文杰;苏永中;陈生云;杨荣;王雪峰;范桂萍;;临泽绿洲农田土壤肥力质量时空变化特征[J];中国沙漠;2012年01期
2 陈志强;陈志彪;;南方红壤侵蚀区土壤肥力质量的突变——以福建省长汀县为例[J];生态学报;2013年10期
3 靳正忠;雷加强;李生宇;徐新文;邱永志;谷峰;刘小路;;流动沙漠腹地防护林土壤肥力质量垂直演化与评价[J];土壤学报;2010年06期
4 曹靖;常雅君;苗晶晶;祁世坪;;黄土高原半干旱区植被重建对不同坡位土壤肥力质量的影响[J];干旱区资源与环境;2009年01期
5 冯君;赵兰坡;孙芸芸;刘窑军;王彦鹏;;吉林省西部地区苏打盐渍化草原不同利用方式对土壤肥力质量的影响[J];吉林农业大学学报;2009年02期
6 郑宝仁;卢宝伟;;哈尔滨城市园林树木绿地土壤肥力质量调查[J];黑龙江科技信息;2010年02期
7 李晓刚;庞奖励;黄春长;朱美玲;;洛川塬土地利用变化对土壤肥力质量的影响[J];陕西师范大学学报(自然科学版);2010年01期
8 李培霞;陈国建;韦杰;;三峡库区典型坡改梯地土壤肥力质量评价——以重庆市巫山县为例[J];重庆师范大学学报(自然科学版);2013年06期
9 靳正忠;雷加强;徐新文;李生宇;;沙土微生物多样性与土壤肥力质量的咸水滴灌效应[J];生态学报;2014年13期
10 王芳;张金水;高鹏程;同延安;;不同有机物料对渭北旱塬耕地土壤短期培肥效应的综合评价[J];应用生态学报;2010年04期
相关会议论文 前5条
1 单奇华;;土壤肥力质量指标筛选方法探讨[A];第九届中国林业青年学术年会论文摘要集[C];2010年
2 李培军;殷培杰;;第四章 土壤、食物安全和人类健康[A];中国土壤科学的现状与展望[C];2005年
3 安韶山;黄懿梅;李壁成;;宁南宽谷丘陵区土壤肥力质量对生态恢复的响应[A];中国地理学会2004年学术年会暨海峡两岸地理学术研讨会论文摘要集[C];2004年
4 苏建平;丁峰;邹忠;陈小明;周志宏;王冬梅;殷丽萍;;江苏省如皋市30年来土壤肥力质量参数演变分析[A];江苏耕地质量建设论文集[C];2008年
5 陈江涛;颜雄;;“百里茶廊”茶园土壤肥力质量评价[A];湖南省茶叶学会2007年学术年会论文集[C];2007年
相关重要报纸文章 前2条
1 恩山;还土壤以健康,还农产品以绿色[N];中国国土资源报;2012年
2 柯吉;肥水高效利用技术初步确定[N];农资导报;2008年
相关博士学位论文 前7条
1 王淑娟;栽培耕作措施与长期施氮对旱地作物产量及土壤肥力质量的影响[D];西北农林科技大学;2015年
2 陈颖;蜀南竹海核心景区毛竹林土壤肥力质量指标与评价[D];四川农业大学;2015年
3 黎炜;煤矿充填复垦区土壤肥力质量变化与地下水重金属污染研究[D];中国矿业大学;2011年
4 徐茂;基于地统计学的江苏省环太湖地区土壤肥力质量演变特征研究[D];南京农业大学;2006年
5 安韶山;黄土丘陵区土壤肥力质量对植被恢复的响应及其演变[D];西北农林科技大学;2004年
6 刘金山;水旱轮作区土壤养分循环及其肥力质量评价与作物施肥效应研究[D];华中农业大学;2011年
7 王代长;酸化土壤中养分离子的淋失机理及金属离子的反应动力学[D];华中农业大学;2003年
相关硕士学位论文 前10条
1 唐华飞;基于遗传算法和模糊神经网络的土壤肥力质量评价研究[D];四川农业大学;2009年
2 郑小佳;基于人工神经网络的耕作土壤肥力质量评价[D];四川农业大学;2006年
3 翟辉;湘西不同植被对土壤肥力质量的效应研究[D];湖南农业大学;2010年
4 张春;四川盆中丘陵区成土母质和地形对土壤肥力质量的影响研究[D];四川农业大学;2006年
5 刘婵;上海城郊土壤肥力质量时空变化特征研究[D];上海师范大学;2014年
6 纪浩;大兴安岭低质林改造后土壤肥力质量评价[D];东北林业大学;2013年
7 朱永磊;河北主要土壤肥力质量时空变异及评价研究[D];河北农业大学;2014年
8 李明悦;近20年来大同市土壤肥力质量的时空演化分析[D];中国农业大学;2005年
9 杨甲华;红壤丘岗区不同土地利用方式对土壤肥力质量的影响[D];湖南农业大学;2012年
10 赵志强;乌兰布和沙漠东北部沙区农田和林地土壤肥力特征及评价[D];西北农林科技大学;2010年
,本文编号:2162818
本文链接:https://www.wllwen.com/kejilunwen/nykj/2162818.html