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Soil resilience assessment using soil profile descriptions and Analytic Hierarchy Process in Mediterranean mountains considering diverse fire occurrences

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Journal of Mountain Science 2024年第8期21卷 2517-2532页

作者： Jesús RODRIGO-COMINO departamento de Análisis Geográfico Regional y Geografía Física Facultad de Filosofía y LetrasCampus Universitario de CartujaUniversidad de GranadaGranada 18071Spain

Wildfires are complex natural phenomena that exert significant impacts on landscapes,societies,and *** the concept of resilience is crucial in mitigating its possible negative impacts,as it involves preparing for,responding to,and recovering from *** research aims to demonstrate the utility of in situ soil profile description in assessing land use resilience using an Analytic Hierarchy Process(AHP)through an expert panel *** study examines a catchment located in the Balearic Islands,considering two fire occurrences(once and twice),comparing abandoned agricultural terraces and natural *** results demonstrated that the priority ranking of variables to assess soil profile resilience against wildfires,determined by a panel of 10 experts,identified horizon depth(25.1%),slope inclination(21.5%),and hydrological connectivity(16.6%)as the most crucial *** variables,such as number and size of roots,structure of pedal soil material,size class structure,and rock fragments,also contributed to resilience but to a lesser extent,with scores ranging from 5.7%to 9.6%.Analyzing the priorities established by the experts using AHP,the results showed that the least resilient soil horizon was H1 of the control hillslope,especially under high and low connectivity processes,which aligned with the loss of superficial soil horizons after one and two *** showed greater changes in resilience after occurring wildfires compared to terraces,with the most significant alterations occurring after the second wildfire *** study addresses a significant knowledge gap in the field by highlighting the interconnectedness of wildfires,resilience,and land use,providing insights into land management strategies for wildfire-prone regions.

关键词： Soil profiles Soil geography Wildfires AHP Land management Expert panel survey

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THE SUMERIAN TERM u_(8)/ud_(5)/ab_(2)/eme_(3)/_(6)sila_(4)/maš_(2)/amar du_(3)(-a)

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Journal of Ancient Civilizations 2024年第1期39卷 1-28,123页

作者： Marcos Such-Gutiérrez facultad de filosofía y letras Universidad Autónoma de Madrid

The aim of the present article is twofold:firstly,to prove that the expression animal+young du_(3)(-a),which is basically documented in texts from the 3rd millennium BC,refers to a dam that has just given birth,and se... 详细信息

关键词： 3rd millennium BC female animal+young du_(3)(-a) livestock newborn suckling animal UrⅢperiod

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Exploration of Innovation Strategy in the deep Integration of Information Technology and Education and Teaching

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Journal of Contemporary Educational Research 2024年第6期8卷 261-267页

作者： Lingyan Meng facultad de filosofía y letras de Universidad de Buenos Aires Buenos Aires 999071Argentina

The rapid development of information technology provides a new opportunity and impetus for the reform of education and *** integration of information technology and education and teaching is the only way to promote the modernization of *** from the connotation of the deep integration of information technology and education and teaching,this paper analyzes the existing problems in the current integration process,and puts forward innovative strategies from the aspects of concept,resources,model,and *** measures such as building a smart teaching environment,enriching high-quality teaching resources,innovating teaching organization models,and establishing multiple evaluation systems,we will realize the deep integration of information technology and teaching,promote the reform of teaching and learning methods,improve the quality of personnel training,and provide strong support for the modernization of education.

关键词： Information technology Education and teaching deep integration Innovation strategy

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Assessing vegetation community distribution characteristics and succession stages in mountainous areas hosting coming Winter Olympics Games

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Journal of Mountain Science 2021年第11期18卷 2870-2887页

作者： ZHANG Heng-shuo ZHA Tong-gang yU yang JI Xiao-dong JESÚS Rodrigo-Comino School of Soil and Water Conservation Beijing Forestry UniversityQinghua East Road 35Beijing 100083China Jixian National Forest Ecosystem Research Network Station CNERNBeijing Forestry UniversityBeijing 100083China departamento de Análisis Geográfico Regional y Geografía Física Facultad de Filosofía y LetrasCampus Universitario de CartujaUniversity of Granada18071 GranadaSpain

Alpine mountain ecosystem shows strong interactions between abiotic and biotic *** also receive high attention from human activities(natural tourism,trekking,skiing,etc.).However,as the potential disturbance risk areas in alpine mountains are increasing,it is necessary to understand the relationship between environmental factors and plant *** is also the key consideration for the coming international events such as the Winter Olympic Games,which could generate uncontrolled ecosystem issues not previously *** yin Mountains in Chongli district,Zhangjiakou City,Hebei Province,China will be the core area of the 2022 Winter Olympic *** hypothesize that disturbances will be caused,therefore,the previous relationships between the habitat factors and plant community and the main environmental limiting factors before hosting them must be assessed to design future restoration ***,we used the two-way indicator species analysis(TWINSPAN)and market basket analysis(MBA)for vegetation classification in 91 sampling *** community and relationships among environmental variables(altitude,slope position,aspect,direction,inclination,soil porosity,soil bulk density,organic matter content and soil pH)were investigated through the trend correspondence(DCA)and canonical correspondence analyses(CCA).Also,the TWINSPAN was used to classify the vegetation into 6 different *** analysis showed that i)the spatial variation of soil moisture and the content of soil organic matter are the main factors limiting the development of shrub and herb communities;ii)the distribution of different forest communities was mainly affected by terrain factors(altitude,aspect and slope position);iii)the dynamic changes of vegetation communities in different altitudes were affected by the fluctuation of environmental factors and human disturbance,and the shrubs and herbaceous plants in mid-to-high altitude areas(above 1400 m)generally show the process o

关键词： Vegetation classification Topographic factors Community distribution Winter Olympic Games

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Evaluating the applicability of the water erosion prediction project(WEPP)model to runoff and soil loss of sandstone reliefs in the Loess Plateau,China

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International Soil and Water Conservation Research 2023年第2期11卷 240-250页

作者： Ruipeng Zhu yang yu Jiongchang Zhao Dianjun Liu Siyu Cai Juanlong Feng Jesús Rodrigo-Comino School of Soil and Water Conservation Beijing Forestry UniversityBeijing100083China jixian National Forest Ecosystem Observation and Research Station CNERNSchool of Soil and Water ConservationBejing Forestry UniversityBejing100083China Inner Mongolia Hydraulic Research Institute Hohhot010051China department of Water Resources China Institute of Water Resources and Hydropower ResearchBejing100038China departamento de Analisis Geografico Regional y Geografia Fisica Facultad de Filosofiay LetrasCampus Universitario de CartujaUniversity of Granada

Soil erosion is one of the most serious environmental issues,especially in vulnerable areas such as the Pisha sandstone regions located in the Loess Plateau(China).In these types of reliefs,long-term studies monitoring runoff and soil loss are scarce,and even more considering the efficiency of different soil management techniques applied to reduce land *** this study,seven years(2014-2020)of in-situ measurements of surface runoff and soil loss for different land uses(forestland,shrubland,grassland,farmland,and bare land)in a Pisha Sandstone environment at the Loess Plateau were *** applied the Water Erosion Prediction Project(WEPP)model combining the large database with the precipitation *** results showed that runoff volume coming from observed and simulated data exhibited significant differences among them depending on the different vegetation *** and soil loss were different among diverse land use types as follows:farmland>grassland>shrubland>*** conducting a calibration,we found satisfactorily simulated surface runoff and sediment yield based on precipitation regimes and land uses at sandstone *** performance of surface runoff was better than sediment *** range of standard error of the model simulation for event and annual values of runoff were 4.71 mm and 12.19 mm,*** standard error for event and annual values of soil loss were 4.19 t/hm^(2)and 21.86 t/hm^(2).In the calibration group,R2 of runoff and soil loss were 0.92 and 0.86 respectively,while Nash-Sutcliffe coefficient(E)reached 0.90 and 0.85,*** the validation group,the R2 for both runoff and soil loss were 0.82 and 0.56,***-Sutcliffe coefficient(E)were 0.77 and 0.54 for the runoff and sediment *** concluded that using a detailed monitoring dataset,the WEPP model could accu-rately simulate and predict water erosion in the hillslopes of Pisha sandstone area.

关键词： Land use Precipitation regimes Hydrological modeling Runoff Soil loss

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Multi-step ahead soil temperature forecasting at different depths based on meteorological data:Integrating resampling algorithms and machine learning models

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Pedosphere 2023年第3期33卷 479-495页

作者： Khabat KHOSRAVI Ali GOLKARIAN Rahim BARZEGAR Mohammad T.AALAMI Salim HEDDAM Ebrahim OMIDVAR Saskia D.KEESSTRA Manuel LÓPEZ-VICENTE department of Earth and Environment Florida International UniversityMiami 33199(USA) department of Watershed Management Engineering Ferdowsi University of MashhadMashhad 91779-48974(Iran) department of Bioresource Engineering McGill University21111 LakeshoreSte Anne de BellevueMontreal H9X 3V9(Canada) department of Geography&Environmental Studies Wilfrid Laurier UniversityWaterloo N2L 3G1(Canada) Faculty of Civil Engineering University of Tabriz29 Bahman BlvTabriz 51666-16471(Iran) Laboratory of Research in Biodiversity Interaction Ecosystem and Biotechnology University 20 Août 1955Route El HadaikBP 26Skikda 21000(Algeria) department of Watershed Management Engineering University of KashanKashan 87317-53153(Iran) Team Soil Water and Land UseWageningen Environmental ResearchDroevendaalsesteeg 3Wageningen 6708RC(Netherlands) departamento de Análisis Geográfico Regional y Geografía Física Facultad de Filosofía y LetrasCampus Universitario de CartujaUniversidad de GranadaGranada 18071(Spain) Group Aquaterra CICAUniversidade da CoruñaAs Carballeiras s/nCampus de ElviñaA Coruña 15071(Spain)

Direct soil temperature(ST)measurement is time-consuming and costly;thus,the use of simple and cost-effective machine learning(ML)tools is *** this study,ML approaches,including KStar,instance-based K-nearest learning(IBK),and locally weighted learning(LWL),coupled with resampling algorithms of bagging(BA)and dagging(DA)(BA-IBK,BA-KStar,BA-LWL,DA-IBK,DA-KStar,and DA-LWL)were developed and tested for multi-step ahead(3,6,and 9 d ahead)ST *** addition,a linear regression(LR)model was used as a benchmark to evaluate the results.A dataset was established,with daily ST time-series at 5 and 50 cm soil depths in a farmland as models’output and meteorological data as models’input,including mean(T_(mean)),minimum(Tmin),and maximum(T_(max))air temperatures,evaporation(Eva),sunshine hours(SSH),and solar radiation(SR),which were collected at Isfahan Synoptic Station(Iran)for 13 years(1992–2005).Six different input combination scenarios were selected based on Pearson’s correlation coefficients between inputs and outputs and fed into the *** used 70%of the data to train the models,with the remaining 30%used for model evaluation via multiple visual and quantitative ***?ndings showed that T_(mean)was the most effective input variable for ST forecasting in most of the developed models,while in some cases the combinations of variables,including T_(mean)and T_(max)and T_(mean),T_(max),Tmin,Eva,and SSH proved to be the best input *** the evaluated models,BA-KStar showed greater compatibility,while in most cases,BA-IBK and-LWL provided more accurate results,depending on soil *** the 5 cm soil depth,BA-KStar had superior performance(i.e.,Nash-Sutcliffe efficiency(NSE)=0.90,0.87,and 0.85 for 3,6,and 9 d ahead forecasting,respectively);for the 50 cm soil depth,DA-KStar outperformed the other models(i.e.,NSE=0.88,0.89,and 0.89 for 3,6,and 9 d ahead forecasting,respectively).The results con?rmed that all hybrid models had higher prediction

关键词： bootstrap aggregating algorithm data mining disjoint aggregating algorithm ensemble modeling hybrid model

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