Gully distribution monitoring based remote sensing and key driving factors in the catchment scale of Mollisol region

To understand the key driving factors of the gully distribution and development in typical catchment of Mollisol region, visual interpretation, spatial analysis, detailed geomorphological field survey and statistical analysis were used to quantify the catchment properties(12 variables) and influenci...

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Autores principales:	WEN Yanru, YU Qiangyi, YANG Yang, ZHANG Bin, WU Wenbin
Formato:	article
Lenguaje:	ZH
Publicado:	Agro-Environmental Protection Institute, Ministry of Agriculture 2021
Materias:	mollisol region gully erosion controlling factor sub-catchment topography tractor road remote sensing interpretation Agriculture (General) S1-972 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/dc525024b50049fba67dc9e13395cc41
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spelling	oai:doaj.org-article:dc525024b50049fba67dc9e13395cc412021-12-03T02:29:42ZGully distribution monitoring based remote sensing and key driving factors in the catchment scale of Mollisol region2095-681910.13254/j.jare.2021.0505https://doaj.org/article/dc525024b50049fba67dc9e13395cc412021-11-01T00:00:00Zhttp://www.aed.org.cn/nyzyyhjxb/html/2021/6/20210614.htmhttps://doaj.org/toc/2095-6819To understand the key driving factors of the gully distribution and development in typical catchment of Mollisol region, visual interpretation, spatial analysis, detailed geomorphological field survey and statistical analysis were used to quantify the catchment properties(12 variables) and influencing factors(6 variables) of gully erosion in typical catchment of Mollisol region based on the satellite image and topographic map. The results showed that the forest area in catchment scale could not effectively control the gully development, and the active gully length in the forestland accounted for 46.2% of the total active gully length. The convergent slope of sub-catchment was a typical landform for gully development, and the gully length accounted for 68.1% of the total gully length. The gully length caused by concentrated surface runoff in convergent slope accounted for 63.0% of the total gully length. The catchment area and slope length were the most important factors affecting the gully length, while catchment slope was a significant factor to gully density. Meanwhile, gully erosion was highly associated with the field tractor road in this study region, and the gully length related tractor road accounted for about 23.3% of the total gully length. Our study highlights that the gully development is closely related to enhanced surface runoff caused by the field tractor road. Therfore, comprehensive soil and water management considering landscapes and agricultural tractor roads in the catchment scale should be the priority issue in gully prevention in Mollisol region of northeast China.WEN YanruYU QiangyiYANG YangZHANG BinWU WenbinAgro-Environmental Protection Institute, Ministry of Agriculturearticlemollisol regiongully erosioncontrolling factorsub-catchment topographytractor roadremote sensing interpretationAgriculture (General)S1-972Environmental sciencesGE1-350ZHJournal of Agricultural Resources and Environment, Vol 38, Iss 6, Pp 1074-1083 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	mollisol region gully erosion controlling factor sub-catchment topography tractor road remote sensing interpretation Agriculture (General) S1-972 Environmental sciences GE1-350
spellingShingle	mollisol region gully erosion controlling factor sub-catchment topography tractor road remote sensing interpretation Agriculture (General) S1-972 Environmental sciences GE1-350 WEN Yanru YU Qiangyi YANG Yang ZHANG Bin WU Wenbin Gully distribution monitoring based remote sensing and key driving factors in the catchment scale of Mollisol region
description	To understand the key driving factors of the gully distribution and development in typical catchment of Mollisol region, visual interpretation, spatial analysis, detailed geomorphological field survey and statistical analysis were used to quantify the catchment properties(12 variables) and influencing factors(6 variables) of gully erosion in typical catchment of Mollisol region based on the satellite image and topographic map. The results showed that the forest area in catchment scale could not effectively control the gully development, and the active gully length in the forestland accounted for 46.2% of the total active gully length. The convergent slope of sub-catchment was a typical landform for gully development, and the gully length accounted for 68.1% of the total gully length. The gully length caused by concentrated surface runoff in convergent slope accounted for 63.0% of the total gully length. The catchment area and slope length were the most important factors affecting the gully length, while catchment slope was a significant factor to gully density. Meanwhile, gully erosion was highly associated with the field tractor road in this study region, and the gully length related tractor road accounted for about 23.3% of the total gully length. Our study highlights that the gully development is closely related to enhanced surface runoff caused by the field tractor road. Therfore, comprehensive soil and water management considering landscapes and agricultural tractor roads in the catchment scale should be the priority issue in gully prevention in Mollisol region of northeast China.
format	article
author	WEN Yanru YU Qiangyi YANG Yang ZHANG Bin WU Wenbin
author_facet	WEN Yanru YU Qiangyi YANG Yang ZHANG Bin WU Wenbin
author_sort	WEN Yanru
title	Gully distribution monitoring based remote sensing and key driving factors in the catchment scale of Mollisol region
title_short	Gully distribution monitoring based remote sensing and key driving factors in the catchment scale of Mollisol region
title_full	Gully distribution monitoring based remote sensing and key driving factors in the catchment scale of Mollisol region
title_fullStr	Gully distribution monitoring based remote sensing and key driving factors in the catchment scale of Mollisol region
title_full_unstemmed	Gully distribution monitoring based remote sensing and key driving factors in the catchment scale of Mollisol region
title_sort	gully distribution monitoring based remote sensing and key driving factors in the catchment scale of mollisol region
publisher	Agro-Environmental Protection Institute, Ministry of Agriculture
publishDate	2021
url	https://doaj.org/article/dc525024b50049fba67dc9e13395cc41
work_keys_str_mv	AT wenyanru gullydistributionmonitoringbasedremotesensingandkeydrivingfactorsinthecatchmentscaleofmollisolregion AT yuqiangyi gullydistributionmonitoringbasedremotesensingandkeydrivingfactorsinthecatchmentscaleofmollisolregion AT yangyang gullydistributionmonitoringbasedremotesensingandkeydrivingfactorsinthecatchmentscaleofmollisolregion AT zhangbin gullydistributionmonitoringbasedremotesensingandkeydrivingfactorsinthecatchmentscaleofmollisolregion AT wuwenbin gullydistributionmonitoringbasedremotesensingandkeydrivingfactorsinthecatchmentscaleofmollisolregion
_version_	1718373959327547392

Gully distribution monitoring based remote sensing and key driving factors in the catchment scale of Mollisol region

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