检索结果-南通市图书馆

Determining the spatial distribution of soil properties using the environmental covariates and multivariate statistical analysis: a case study in semi-arid regions of Iran

引用

Journal of Arid Land 2019年第4期11卷 551-566页

作者： mojtaba zeraatpisheh Shamsollah AYOUBI Magboul SULIEMAN JesusRODRIGO-COMINO Department of Soil Science College of AgricultureIsfahan University of TechnologyIsfahan84156-83111Iran Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions College of Environment andPlanningHenan UniversityKaifeng475004China Department of Soil Science Agricultural Sciences and Natural Resources University of KhuzestanAhvaz***Iran Department of Soil and Environment Sciences Faculty of AgricultureUniversity of KhartoumShambat13314Sudan Instituto de Geomorfologia y Suelos Department of GeographyUniversity of MalagaMalaga29071Spain

Natural soil-forming factors such as landforms, parent materials or biota lead to high variability in soil properties. However, there is not enough research quantifying which environmental factor(s) can be the most relevant to predicting soil properties at the catchment scale in semi-arid areas. Thus, this research aims to investigate the ability of multivariate statistical analyses to distinguish which soil properties follow a clear spatial pattern conditioned by specific environmental characteristics in a semi-arid region of Iran. To achieve this goal, we digitized parent materials and landforms by recent orthophotography. Also, we extracted ten topographical attributes and five remote sensing variables from a digital elevation model(DEM) and the Landsat Enhanced Thematic Mapper(ETM), respectively. These factors were contrasted for 334 soil samples(depth of 0–30 cm). Cluster analysis and soil maps reveal that Cluster 1 comprises of limestones, massive limestones and mixed deposits of conglomerates with low soil organic carbon(SOC) and clay contents, and Cluster 2 is composed of soils that originated from quaternary and early quaternary parent materials such as terraces, alluvial fans, lake deposits, and marls or conglomerates that register the highest SOC content and the lowest sand and silt contents. Further, it is confirmed that soils with the highest SOC and clay contents are located in wetlands, lagoons, alluvial fans and piedmonts, while soils with the lowest SOC and clay contents are located in dissected alluvial fans, eroded hills, rock outcrops and steep hills. The results of principal component analysis using the remote sensing data and topographical attributes identify five main components, which explain 73.3% of the total variability of soil properties. Environmental factors such as hillslope morphology and all of the remote sensing variables can largely explain SOC variability, but no significant correlation is found for soil texture and calcium carbon

关键词： soil properties remote sensing data topographical attributes multivariate statistical analyses geographic information systems land management

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Remote sensing of soil degradation:Pro gress andperspective

引用

International Soil and Water Conservation Research 2023年第3期11卷 429-454页

作者： Jingzhe Wang Jianing Zhen Weifang Hu Songchao Chen Ivan Lizaga mojtaba zeraatpisheh Xiaodong Yang School of Artificial Intelligence Shenzhen PolytechnicShenzhen518055China State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China Key Laboratory of Wetland Ecology and Environment Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun130102China Institute of Agricultural Resources and Environment Guangdong Academy of Agricultural SciencesGuangzhou510640China ZJU-Hangzhou Global Scientific and Technological Innovation Center Hangzhou311200China Isotope Bioscience Laboratory-ISOFYS Department of Green Chemistry and TechnologyGhent UniversityCoupure Links 6539000GhentBelgium Rubenstein School of Environment and Natural Resources University of Vermont81 Carrigan DriveBurlingtonVT05405USA Gund Institute for Environment University of Vermont210 Colchester AveBurlingtonVT05401USA Department of Geography and Spatial Information Technology Ningbo UniversityNingbo315211China

Soils constitute one of the most critical natural resources and maintaining their health is vital for agricultural development and ecological sustainability,providing many essential ecosystem *** by climatic variations and anthropogenic activities,soil degradation has become a global issue that seriously threatens the ecological environment and food *** sensing(RS)technologies have been widely used to investigate soil degradation as it is highly efficient,time-saving,and *** review encompasses recent advances and the state-of-the-art of ground,proximal,and novel Rs techniques in soil degradation-related *** reviewed the RS-related indicators that could be used for monitoring soil degradation-related *** direct indicators(mineral composition,organic matter,surface roughness,and moisture content of soil)and indirect proxies(vegetation condition and land use/land cover change)for evaluating soil degradation were comprehensively *** results suggest that these above indicators are effective for monitoring soil degradation,however,no indicators system has been established for soil degradation monitoring to *** also discussed the RS's mechanisms,data,and methods for identifying specific soil degradation-related phenomena(e.g.,soil erosion,salinization,desertification,and contamination).We investigated the potential relations between soil degradation and Sustainable Development Goals(SDGs)and also discussed the challenges and prospective use of RS for assessing soil *** further advance and optimize technology,analysis and retrieval methods,we identify critical future research needs and directions:(1)multi-scale analysis of soil degradation;(2)availability of RS data;(3)soil degradation process modelling and prediction;(4)shared soil degradation dataset;(5)decision support systems;and(6)rehabilitation of degraded soil resource and the contribution of RS *** it is difficult to moni

关键词： Soil degradation Remote sensing Soil properties Earth observation Sustainable development goals

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Impacts of oak deforestation and rainfed cultivation on soil redistribution processes across hillslopes using ^(137)Cs techniques

引用

Forest Ecosystems 2021年第3期8卷 425-438页

作者： Shamsollah Ayoubi Nafiseh Sadeghi Farideh Abbaszadeh Afshar Mohammad Reza Abdi mojtaba zeraatpisheh Jesus Rodrigo-Comino Department of Soil Science College of AgricultureIsfahan University of TechnologyIsfahan 84156-83111Iran Department of Soil Science College of AgricultureUniversity of JiroftKermanIran Department of Physics Faculty of ScienceUniversity of IsfahanIsfahan 81747-73441Iran Henan Key Laboratory of Earth System Observation and Modeling Henan UniversityKaifeng 475004China College of Environment and Planning Henan UniversityKaifeng 475004China Department of Physical Geography University of TrierTrierGermany Soil Erosion and Degradation Research Group Department of GeographyUniversitat de ValènciaValenciaSpain

Background:As one of the main components of land-use change,deforestation is considered the greatest threat to global environmental diversity with possible irreversible environmental ***,one example could be the impacts of land-use changes from oak forests into agricultural ecosystems,which may have detrimental impacts on soil mobilization across ***,to date,scarce studies are assessing these impacts at different slope positions and soil depths,shedding light on key geomorphological ***:In this research,the Caesium-137(^(137)Cs)technique was applied to evaluate soil redistribution and soil erosion rates due to the effects of these above-mentioned land-use *** achieve this goal,we select a representative area in the Lordegan district,central Iran.^(137)Cs depth distribution profiles were established in four different hillslope positions after converting natural oak forests to rainfed *** each hillslope,soil samples from three depths(0–10,10–20,and 20–50 cm)and in four different slope positions(summit,shoulder,backslope,and footslope)were taken in three transects of about 20m away from each *** activity of ^(137)Cs was determined in all the soil samples(72 soil samples)by a gamma *** addition,some physicochemical properties and the magnetic susceptibility(MS)of soil samples were ***:Erosion rates reached 51.1 t·ha^(−1)·yr^(−1) in rainfed farming,whereas in the natural forest,the erosion rate was 9.3 t·ha^(−1)·yr^(−1).Magnetic susceptibility was considerably lower in the cultivated land(χhf=43.5×10^(−8)m^(3)·kg^(−1))than in the natural forest(χhf=55.1×10^(−8)m^(3)·kg^(−1)).The lower soil erosion rate in the natural forest land indicated significantly higher MS in all landform positions except at the summit one,compared to that in the rainfed farming *** shoulder and summit positions were the most erodible hillslope positions in the natural forest and rainfed farming,res

关键词： Land-use change Soil redistribution Topographical changes Radionuclide Rainfed farming Deforestation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：