Article(id=1242134495688729592, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242134390566887892, articleNumber=null, orderNo=48, doi=10.3981/j.issn.1000-7857.2016.2.042, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1426003200000, receivedDateStr=2015-03-11, revisedDate=1438617600000, revisedDateStr=2015-08-04, acceptedDate=null, acceptedDateStr=null, onlineDate=1454555982870, onlineDateStr=2016-02-04, pubDate=1453910400000, pubDateStr=2016-01-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1454555982870, onlineIssueDateStr=2016-02-04, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077541509, creator=sys-migrate, updateTime=1774077541509, updator=sys-migrate, issue=Issue{id=1242134390566887892, tenantId=1146029695717560320, journalId=1146031591421210625, year='2016', volume='34', issue='2', pageStart='1', pageEnd='332', issueExtLink='null', onlineDate='null', pubDate='1453910400000', pubDateStr='2016-01-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077516449, creator='sys-migrate', updateTime=1774077516449, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=247, endPage=254, ext={EN=ArticleExt(id=1242134501141327969, articleId=1242134495688729592, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Analysis on influence factors of soil organic carbon density using a geographically weighted regression model, columnId=1242116810380743325, journalTitle=Science & Technology Review, columnName=Reviews, runingTitle=null, highlight=null, articleAbstract=This research was conducted in Huanghuadianzi watershed in Aohan Chifeng, Inner Mongolia. The influence factors of soil organic carbon density were mainly divided into human factors and natural factors; altitude, slop, normalized differential vegetation index (NDVI) and the shortest distance from path or the village (DIST) were selected as the influence factors. Based on field data samples of the study area, both remote sensing and geographic information system were applied. A geographically weighted regression model was used to study the spatial variations of soil organic carbon density and the different environmental factors. The results showed that the soil organic carbon density changed in the study area from 1.91 to 16.63 kg/m2 , with an average density 7.42 kg/m2 . The influence degrees of soil organic carbon density in different driving factors ranked as altitude >slop >NDVI >DIST. The influence of each factor on the soil organic carbon changed with spatial difference. Altitude and slope respectively showed a positive and negative correlation with soil organic carbon density. In general soil organic carbon density decreased with the increasing of altitude and slope in most of the study area and the correlation coefficients were -0.436 and -0.223, while positive effect were only in a few areas. On the other hand, the NDVI and DIST showed a positive correlation with soil organic carbon density, with the correlation coefficients of NDVI being from 1.37 to 1.45 and DIST being from 0.15 to 0.47. In order to analyze the spatial variation of each influence factor, a map of the regression coefficient distribution of the environmental factors and soil organic carbon density in the study area was provided, which provided a scientific basis for the efficient utilization of soil and the development of precision agriculture according to the local conditions., authors=LI Long1 , YAO Yunfeng1 , QIN Fucang1 , ZHANG Meili1 , GAO Yuhan1 , CHANG Weidong2 , authorsList=LI Long, YAO Yunfeng, QIN Fucang, ZHANG Meili, GAO Yuhan, CHANG Weidong, authorCompany=1. College of Ecology and Environmental Science, Inner Mongolia Agricultural University, Hohhot 010018, China;2 范围内变化,其平均密度为7.42 kg/m2 ;各影响因子对土壤有机碳密度的影响程度由高到低依次为海拔 >坡度 >归一化植被指数(NDVI)>与道路或村庄最短距离(DIST);各因子对土壤有机碳的影响随空间位置的变化存在明显的差异,其中海拔、坡度与土壤有机碳密度呈现负相关,而NDVI、DIST 与土壤有机碳密度呈现正相关。, authors=李龙1 , 姚云峰1 , 秦富仓1 , 张美丽1 , 高玉寒1 , 常伟东2 , authorsList=李龙, 姚云峰, 秦富仓, 张美丽, 高玉寒, 常伟东, authorCompany=1. 内蒙古农业大学生态环境学院, 呼和浩特 010018;
科技导报
| 综述文章 2016, 34(2): 247-254
基于地理加权回归模型的土壤有机碳密度影响因子分析
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李龙1 , 姚云峰1 , 秦富仓1 , 张美丽1 , 高玉寒1 , 常伟东2
作者信息
1. 内蒙古农业大学生态环境学院, 呼和浩特 010018;
通讯作者:
姚云峰,教授,研究方向为水土保持与荒漠化防治,电子信箱:lilongdhr@emails.imau.edu.cn
Analysis on influence factors of soil organic carbon density using a geographically weighted regression model
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出版时间: 2016-01-28
doi: 10.3981/j.issn.1000-7857.2016.2.042
文章导航
为深入探讨土壤碳库的空间变异特征、准确评价区域碳库的影响机制,选择内蒙古自治区赤峰市敖汉旗黄花甸子流域为研究对象,基于研究区的实地采样数据,结合遥感与地理信息系统技术,采用地理加权回归模型对土壤有机碳密度及其影响因子进行拟合,探求不同环境因子对土壤有机碳密度影响的空间变异特性。结果表明,研究区土壤有机碳密度在1.91~16.63 kg/m2 范围内变化,其平均密度为7.42 kg/m2 ;各影响因子对土壤有机碳密度的影响程度由高到低依次为海拔 >坡度 >归一化植被指数(NDVI)>与道路或村庄最短距离(DIST);各因子对土壤有机碳的影响随空间位置的变化存在明显的差异,其中海拔、坡度与土壤有机碳密度呈现负相关,而NDVI、DIST 与土壤有机碳密度呈现正相关。
土壤有机碳密度
/
环境因子
/
地理加权回归模型
/
小流域
/
空间变异
This research was conducted in Huanghuadianzi watershed in Aohan Chifeng, Inner Mongolia. The influence factors of soil organic carbon density were mainly divided into human factors and natural factors; altitude, slop, normalized differential vegetation index (NDVI) and the shortest distance from path or the village (DIST) were selected as the influence factors. Based on field data samples of the study area, both remote sensing and geographic information system were applied. A geographically weighted regression model was used to study the spatial variations of soil organic carbon density and the different environmental factors. The results showed that the soil organic carbon density changed in the study area from 1.91 to 16.63 kg/m2 , with an average density 7.42 kg/m2 . The influence degrees of soil organic carbon density in different driving factors ranked as altitude >slop >NDVI >DIST. The influence of each factor on the soil organic carbon changed with spatial difference. Altitude and slope respectively showed a positive and negative correlation with soil organic carbon density. In general soil organic carbon density decreased with the increasing of altitude and slope in most of the study area and the correlation coefficients were -0.436 and -0.223, while positive effect were only in a few areas. On the other hand, the NDVI and DIST showed a positive correlation with soil organic carbon density, with the correlation coefficients of NDVI being from 1.37 to 1.45 and DIST being from 0.15 to 0.47. In order to analyze the spatial variation of each influence factor, a map of the regression coefficient distribution of the environmental factors and soil organic carbon density in the study area was provided, which provided a scientific basis for the efficient utilization of soil and the development of precision agriculture according to the local conditions.
soil organic carbon content
/
environmental factors
/
geographically weighted regression model
/
samll watershed
/
spatial variation
李龙, 姚云峰, 秦富仓, 张美丽, 高玉寒, 常伟东.
基于地理加权回归模型的土壤有机碳密度影响因子分析.
科技导报,
2016
, 34
(2)
: 247
-254
.
DOI: 10.3981/j.issn.1000-7857.2016.2.042
LI Long, YAO Yunfeng, QIN Fucang, ZHANG Meili, GAO Yuhan, CHANG Weidong.
Analysis on influence factors of soil organic carbon density using a geographically weighted regression model[J].
Science & Technology Review ,
2016
, 34
(2)
: 247
-254
.
DOI: 10.3981/j.issn.1000-7857.2016.2.042
2016年第34卷第2期
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文章信息
doi: 10.3981/j.issn.1000-7857.2016.2.042
接收时间：2015-03-11
首发时间：2016-02-04
出版时间：2016-01-28
收稿日期：2015-03-11
修回日期：2015-08-04
通讯作者:
姚云峰,教授,研究方向为水土保持与荒漠化防治,电子信箱:lilongdhr@emails.imau.edu.cn
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2016.2.042
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2种不同金属材料的力学参数
科 属数 种数 占总种数比例 属 种数 占总种数比例 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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